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---
title: "README"
author: "Isabelle Boulangeat"
date: "25/01/2021"
output:
  html_document:
    keep_md: yes
    variant: markdown_github
editor_options:
  chunk_output_type: console
always_allow_html: true
---


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## Biomasse
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```r
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ggplot(dat_long, aes(fill=stat, x=ref_typoveg, y=value)) +
  geom_bar(position = "dodge", stat = "identity") +
  facet_wrap(~stat, ncol = 1, scales = "free")
```

![](README_files/figure-html/unnamed-chunk-1-1.png)<!-- -->


```r
## boxplot par milieu ##

ggplot(dat_h_veg, aes(x = reorder(ref_typoveg, hmean, na.rm=TRUE), y = hmean)) +
  geom_boxplot() +
  labs(y="Hauteur moyenne (est. biomasse)", x="Type vegetation")
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```

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![](README_files/figure-html/unnamed-chunk-2-1.png)<!-- -->


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```r
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## H series par milieu ##
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pl <- ggplot(dat_h_veg, aes(x = date_releve, y = hmean)) +
  geom_line(aes(color = ref_site), show.legend = FALSE) +
  facet_wrap(~ref_typoveg)

pl + theme(legend.position = "none")
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```

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![](README_files/figure-html/unnamed-chunk-3-1.png)<!-- -->


```r
ggplot(cal_mean, aes(x = reorder(site, hmean), y = hmean)) +
  geom_boxplot() +
  geom_point() 
```

![](README_files/figure-html/unnamed-chunk-4-1.png)<!-- -->


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```r
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ggplot(obs_error, aes(x = reorder(site, hm), y = hmad_st)) +
  geom_bar(stat = "identity")
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```

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![](README_files/figure-html/unnamed-chunk-5-1.png)<!-- -->
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```r
### sd vs mad
ggplot(dat_h_veg, aes(x = hmad, y = hsd)) +
  geom_point() 
```

![](README_files/figure-html/unnamed-chunk-6-1.png)<!-- -->


```r
### dans le temps
ggplot(dat_h_veg, aes(x = date_releve, y = hmad)) +
  geom_line(aes(color = ref_site), show.legend = FALSE) +
  facet_wrap(~ref_typoveg)
```

![](README_files/figure-html/unnamed-chunk-7-1.png)<!-- -->

```r
## boxplot par milieu ##
```


```r
ggplot(dat_h_veg, aes(x = reorder(ref_typoveg, hmad, na.rm=TRUE), y = hmad)) +
  geom_boxplot() +
  labs(y="Variation intra de hauteur", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-8-1.png)<!-- -->


```r
ggplot(dat_h_veg, aes(x = reorder(ref_typoveg, hmad/hmean, na.rm=TRUE), y = hmad/hmean)) +
  geom_boxplot() +
  labs(y="Variation intra de hauteur (stand. moy.)", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-9-1.png)<!-- -->
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## Sites topography and vegetation types
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```r
ggplot(sites_all@data, aes(x = reorder(ref_typoveg, alti, na.rm=TRUE), y = alti)) +
  geom_boxplot() +
  labs(y="alti", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-11-1.png)<!-- -->

```r
ggplot(sites_all@data, aes(x = reorder(ref_typoveg, slope, na.rm=TRUE), y = slope)) +
  geom_boxplot() +
  labs(y="slope", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-12-1.png)<!-- -->

```r
ggplot(sites_all@data, aes(x = reorder(ref_typoveg, northing, na.rm=TRUE), y = northing)) +
  geom_boxplot() +
  labs(y="northing", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-13-1.png)<!-- -->

```r
ggplot(sites_all@data, aes(x = reorder(ref_typoveg, easting, na.rm=TRUE), y = easting)) +
  geom_boxplot() +
  labs(y="easting", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-14-1.png)<!-- -->

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## Ensemble de variables abiotiques

### PCA all abiotic variables
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```r
releves_all = readRDS("releves_all_plus.rds")
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releves_all$date600 = releves_all$last_snow_day.gdd300 + releves_all$gddspeed.gdd600
str(releves_all)
```

```
## 'data.frame':	472 obs. of  61 variables:
##  $ id_site              : chr  "BELRIV01" "BELRIV01" "BELRIV01" "BELRIV02" ...
##  $ alti                 : num  1919 1919 1919 2077 2077 ...
##  $ slope                : num  19.6 19.6 19.6 35 35 ...
##  $ lf                   : num  5 5 5 8 8 8 9 9 9 5 ...
##  $ northing             : num  0.633 0.633 0.633 0.707 0.707 ...
##  $ easting              : num  -0.774 -0.774 -0.774 -0.707 -0.707 ...
##  $ releve               : chr  "BELRIV01_07_08_2017" "BELRIV01_14_06_2017" "BELRIV01_21_09_2017" "BELRIV02_21_09_2017" ...
##  $ hmean                : num  7.65 11.48 5.58 6.49 9.38 ...
##  $ hsd                  : num  4.96 7.38 4.31 4.36 6.86 ...
##  $ hmad                 : num  5.93 6.3 4.82 4.45 4.82 ...
##  $ date_releve          : Date, format: "2017-08-07" "2017-06-14" ...
##  $ ref_observateur      : chr  "IRS_GL" "IRS_GL" "IRS_GL" "IRS_GL" ...
##  $ nom_site             : chr  "BOUQ1" "BOUQ1" "BOUQ1" "BOUQ2" ...
##  $ id_site_local        : chr  "BOUQ1" "BOUQ1" "BOUQ1" "BOUQ2" ...
##  $ deprecated_ref_milieu: chr  "QUE" "QUE" "QUE" "QUE" ...
##  $ ref_as               : chr  "BELRIV" "BELRIV" "BELRIV" "BELRIV" ...
##  $ annee_premiere_mesure: num  2013 2013 2013 2013 2013 ...
##  $ z                    : num  1919 1919 1919 2090 2090 ...
##  $ ref_station_meteo    : chr  "38191002" "38191002" "38191002" "38191002" ...
##  $ annee_cal            : chr  "2013.000000" "2013.000000" "2013.000000" "2013.000000" ...
##  $ hauteur_cal          : chr  "10.890000" "10.890000" "10.890000" "6.520000" ...
##  $ biomasse_cal         : chr  "2.210000" "2.210000" "2.210000" "1.050000" ...
##  $ commentaires         : chr  NA NA NA NA ...
##  $ quartier             : chr  "juin" "juin" "juin" "juillet" ...
##  $ ref_typoveg          : chr  "QUE" "QUE" "QUE" "QUE" ...
##  $ NoP                  : num  2168 2168 2168 1428 1428 ...
##  $ x                    : num  944976 944976 944976 943874 943874 ...
##  $ y                    : num  6461912 6461912 6461912 6461736 6461736 ...
##  $ year                 : chr  "2017" "2017" "2017" "2017" ...
##  $ NoP_year             : chr  "2168_2017" "2168_2017" "2168_2017" "1428_2017" ...
##  $ snowfree_time        : int  85 31 130 130 31 85 130 31 85 85 ...
##  $ cumgdd0              : num  1321 463 1928 1928 463 ...
##  $ cumgdd60d            : num  962 500 862 862 500 ...
##  $ albedo.gdd300        : num  4.2 4.2 4.2 4.8 4.8 ...
##  $ albedo.gdd600        : num  8 8 8 9.2 9.2 ...
##  $ albedo.gdd900        : num  12.2 12.2 12.2 13.6 13.6 ...
##  $ frost.gdd300         : num  0 0 0 0 0 0 0 0 0 0 ...
##  $ frost.gdd600         : num  0 0 0 0 0 0 0 0 0 0 ...
##  $ frost.gdd900         : num  0 0 0 0 0 0 0 0 0 0 ...
##  $ frost_severe.gdd300  : num  0 0 0 0 0 0 0 0 0 0 ...
##  $ frost_severe.gdd600  : num  0 0 0 0 0 0 0 0 0 0 ...
##  $ frost_severe.gdd900  : num  0 0 0 0 0 0 0 0 0 0 ...
##  $ gddspeed.gdd300      : num  20 20 20 23 23 23 24 24 24 27 ...
##  $ gddspeed.gdd600      : num  39 39 39 45 45 45 46 46 46 54 ...
##  $ gddspeed.gdd900      : num  60 60 60 67 67 67 69 69 69 101 ...
##  $ last_snow_day.gdd300 : num  286 286 286 315 315 315 300 300 300 319 ...
##  $ last_snow_day.gdd600 : num  286 286 286 315 315 315 300 300 300 319 ...
##  $ last_snow_day.gdd900 : num  286 286 286 315 315 315 300 300 300 319 ...
##  $ radiations.gdd300    : num  2323 2323 2323 2582 2582 ...
##  $ radiations.gdd600    : num  4863 4863 4863 4465 4465 ...
##  $ radiations.gdd900    : num  7013 7013 7013 6083 6083 ...
##  $ rainfall.gdd300      : num  0.000434 0.000434 0.000434 0.001375 0.001375 ...
##  $ rainfall.gdd600      : num  0.000829 0.000829 0.000829 0.002761 0.002761 ...
##  $ rainfall.gdd900      : num  0.00174 0.00174 0.00174 0.00374 0.00374 ...
##  $ snowdays.gdd300      : num  0 0 0 0 0 0 1 1 1 0 ...
##  $ snowdays.gdd600      : num  0 0 0 0 0 0 1 1 1 0 ...
##  $ snowdays.gdd900      : num  0 0 0 0 0 0 1 1 1 15 ...
##  $ temperature.gdd300   : num  14.6 14.6 14.6 12.6 12.6 ...
##  $ temperature.gdd600   : num  14.6 14.6 14.6 12.6 12.6 ...
##  $ temperature.gdd900   : num  14.6 14.6 14.6 12.6 12.6 ...
##  $ date600              : num  325 325 325 360 360 360 346 346 346 373 ...
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```

```r
library(ade4)
vars = c("alti", "slope", "lf", "northing", "easting", "snowfree_time", "cumgdd0", "cumgdd60d", "albedo.gdd300",
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"albedo.gdd600", "albedo.gdd900","temperature.gdd300", "frost.gdd300",
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"gddspeed.gdd300", "gddspeed.gdd600", "gddspeed.gdd900", "radiations.gdd300",
"radiations.gdd600", "radiations.gdd900", "rainfall.gdd300", "rainfall.gdd600",
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"rainfall.gdd900", "snowdays.gdd300", "snowdays.gdd600", "snowdays.gdd900")
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dat = na.omit(releves_all[,vars])
dim(dat)
```

```
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## [1] 434  25
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```

```r
pca = dudi.pca(dat, scan=FALSE, nf = 4)
inertia.dudi(pca, row=FALSE, col =TRUE)
```

```
## Inertia information:
## Call: inertia.dudi(x = pca, row.inertia = FALSE, col.inertia = TRUE)
## 
## Decomposition of total inertia:
##        inertia     cum  cum(%)
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## Ax1  9.2488178   9.249   37.00
## Ax2  4.5671715  13.816   55.26
## Ax3  2.7832228  16.599   66.40
## Ax4  1.6397043  18.239   72.96
## Ax5  1.3039449  19.543   78.17
## Ax6  1.0052102  20.548   82.19
## Ax7  0.9090952  21.457   85.83
## Ax8  0.7949346  22.252   89.01
## Ax9  0.5653497  22.817   91.27
## Ax10 0.5602798  23.378   93.51
## Ax11 0.3637807  23.742   94.97
## Ax12 0.3336978  24.075   96.30
## Ax13 0.2661335  24.341   97.37
## Ax14 0.2091145  24.550   98.20
## Ax15 0.1404927  24.691   98.76
## Ax16 0.1109611  24.802   99.21
## Ax17 0.0709459  24.873   99.49
## Ax18 0.0513591  24.924   99.70
## Ax19 0.0351678  24.959   99.84
## Ax20 0.0221040  24.981   99.93
## Ax21 0.0133834  24.995   99.98
## Ax22 0.0029206  24.998   99.99
## Ax23 0.0017724  25.000  100.00
## Ax24 0.0003074  25.000  100.00
## Ax25 0.0001284  25.000  100.00
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## 
## Column contributions (%):
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##               alti              slope                 lf           northing 
##                  4                  4                  4                  4 
##            easting      snowfree_time            cumgdd0          cumgdd60d 
##                  4                  4                  4                  4 
##      albedo.gdd300      albedo.gdd600      albedo.gdd900 temperature.gdd300 
##                  4                  4                  4                  4 
##       frost.gdd300    gddspeed.gdd300    gddspeed.gdd600    gddspeed.gdd900 
##                  4                  4                  4                  4 
##  radiations.gdd300  radiations.gdd600  radiations.gdd900    rainfall.gdd300 
##                  4                  4                  4                  4 
##    rainfall.gdd600    rainfall.gdd900    snowdays.gdd300    snowdays.gdd600 
##                  4                  4                  4                  4 
##    snowdays.gdd900 
##                  4 
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## 
## Column absolute contributions (%):
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##                       Axis1     Axis2     Axis3     Axis4
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## alti                1.13451 7.314e+00 8.563e+00 1.675e-01
## slope               0.02856 8.576e-01 3.180e+00 2.703e+01
## lf                  0.01813 1.761e-01 2.650e+00 1.116e+01
## northing            0.08855 7.041e-01 3.932e-01 1.761e+01
## easting             0.09714 2.331e+00 9.243e-01 1.836e+01
## snowfree_time       2.41908 6.690e+00 7.127e+00 5.843e-03
## cumgdd0             0.48665 6.630e+00 1.716e+01 2.185e-01
## cumgdd60d           0.22707 4.525e+00 1.784e+01 3.250e+00
## albedo.gdd300       4.81782 9.143e+00 2.143e+00 3.231e-01
## albedo.gdd600       8.20927 4.170e+00 4.290e-01 1.063e-03
## albedo.gdd900       9.51395 9.211e-01 8.281e-02 4.932e-02
## temperature.gdd300  5.46609 3.929e+00 3.104e-02 9.674e-01
## frost.gdd300        2.04372 1.560e-04 1.069e+00 5.198e+00
## gddspeed.gdd300     7.97584 1.484e+00 1.366e-05 8.632e-01
## gddspeed.gdd600    10.07776 2.079e-04 4.851e-01 5.745e-05
## gddspeed.gdd900     9.53650 5.324e-01 7.622e-01 1.608e-01
## radiations.gdd300   7.35582 4.071e-01 3.189e-01 5.939e-02
## radiations.gdd600   7.94041 1.512e+00 1.173e-01 2.769e+00
## radiations.gdd900   6.55044 1.895e+00 2.380e-05 6.175e+00
## rainfall.gdd300     4.04813 2.346e-02 7.013e+00 4.277e+00
## rainfall.gdd600     4.91339 5.887e-01 6.757e+00 1.183e+00
## rainfall.gdd900     5.01954 1.637e+00 5.326e+00 1.032e-01
## snowdays.gdd300     0.51303 1.494e+01 6.175e+00 2.401e-04
## snowdays.gdd600     0.38428 1.611e+01 5.576e+00 7.427e-03
## snowdays.gdd900     1.13431 1.347e+01 5.880e+00 5.536e-02
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## 
## Signed column relative contributions:
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##                       Axis1      Axis2      Axis3      Axis4
## alti               -10.4928 -3.340e+01  2.383e+01 -2.747e-01
## slope               -0.2642 -3.917e+00  8.849e+00  4.433e+01
## lf                  -0.1677 -8.042e-01  7.376e+00  1.830e+01
## northing             0.8190 -3.216e+00  1.094e+00  2.888e+01
## easting              0.8984  1.065e+01 -2.573e+00 -3.010e+01
## snowfree_time      -22.3737 -3.055e+01  1.984e+01 -9.581e-03
## cumgdd0             -4.5010 -3.028e+01  4.776e+01 -3.582e-01
## cumgdd60d            2.1001 -2.067e+01  4.964e+01 -5.329e+00
## albedo.gdd300      -44.5592  4.176e+01  5.966e+00  5.299e-01
## albedo.gdd600      -75.9260  1.905e+01  1.194e+00 -1.743e-03
## albedo.gdd900      -87.9928  4.207e+00  2.305e-01 -8.087e-02
## temperature.gdd300  50.5549  1.794e+01  8.640e-02  1.586e+00
## frost.gdd300       -18.9020 -7.123e-04 -2.976e+00  8.522e+00
## gddspeed.gdd300    -73.7671  6.777e+00 -3.801e-05  1.415e+00
## gddspeed.gdd600    -93.2073 -9.497e-04 -1.350e+00  9.421e-05
## gddspeed.gdd900    -88.2013 -2.431e+00 -2.121e+00 -2.637e-01
## radiations.gdd300  -68.0327 -1.859e+00  8.876e-01 -9.739e-02
## radiations.gdd600  -73.4394 -6.908e+00  3.265e-01 -4.541e+00
## radiations.gdd900  -60.5838 -8.657e+00 -6.624e-05 -1.013e+01
## rainfall.gdd300    -37.4404  1.071e-01 -1.952e+01  7.014e+00
## rainfall.gdd600    -45.4431 -2.689e+00 -1.881e+01  1.940e+00
## rainfall.gdd900    -46.4248 -7.477e+00 -1.482e+01  1.692e-01
## snowdays.gdd300     -4.7449  6.826e+01  1.719e+01 -3.937e-04
## snowdays.gdd600     -3.5541  7.357e+01  1.552e+01 -1.218e-02
## snowdays.gdd900    -10.4911  6.154e+01  1.637e+01  9.077e-02
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## 
## Cumulative sum of column relative contributions (%):
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##                      Axis1 Axis1:2 Axis1:3 Axis1:4 Axis5:25
## alti               10.4928 43.8973  67.730   68.00   31.995
## slope               0.2642  4.1810  13.030   57.36   42.644
## lf                  0.1677  0.9719   8.348   26.65   73.351
## northing            0.8190  4.0346   5.129   34.01   65.994
## easting             0.8984 11.5441  14.117   44.22   55.779
## snowfree_time      22.3737 52.9280  72.764   72.77   27.227
## cumgdd0             4.5010 34.7803  82.543   82.90   17.098
## cumgdd60d           2.1001 22.7670  72.406   77.74   22.265
## albedo.gdd300      44.5592 86.3164  92.282   92.81    7.188
## albedo.gdd600      75.9260 94.9730  96.167   96.17    3.831
## albedo.gdd900      87.9928 92.1995  92.430   92.51    7.489
## temperature.gdd300 50.5549 68.4983  68.585   70.17   29.829
## frost.gdd300       18.9020 18.9027  21.879   30.40   69.598
## gddspeed.gdd300    73.7671 80.5440  80.544   81.96   18.041
## gddspeed.gdd600    93.2073 93.2083  94.558   94.56    5.442
## gddspeed.gdd900    88.2013 90.6327  92.754   93.02    6.982
## radiations.gdd300  68.0327 69.8921  70.780   70.88   29.123
## radiations.gdd600  73.4394 80.3471  80.674   85.21   14.786
## radiations.gdd900  60.5838 69.2408  69.241   79.37   20.633
## rainfall.gdd300    37.4404 37.5476  57.067   64.08   35.919
## rainfall.gdd600    45.4431 48.1317  66.939   68.88   31.120
## rainfall.gdd900    46.4248 53.9020  68.724   68.89   31.107
## snowdays.gdd300     4.7449 73.0004  90.188   90.19    9.812
## snowdays.gdd600     3.5541 77.1258  92.645   92.66    7.343
## snowdays.gdd900    10.4911 72.0326  88.398   88.49   11.511
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```

```r
par(mfrow=c(1,2))
s.corcircle(pca$co)
s.corcircle(pca$co, xax=3, yax=4)
```

![](README_files/figure-html/unnamed-chunk-15-1.png)<!-- -->

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## Modélisation de la hauteur moyenne

### climate et type vegetation
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```r
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ggplot(releves_all, aes(x = reorder(ref_typoveg, cumgdd0, na.rm=TRUE), y = cumgdd0)) +
  geom_boxplot() +
  labs(y="cum GDD 0degC", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-16-1.png)<!-- -->

```r
ggplot(releves_all, aes(x = reorder(ref_typoveg, cumgdd60d, na.rm=TRUE), y = cumgdd60d)) +
  geom_boxplot() +
  labs(y="cum GDD 60d", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-17-1.png)<!-- -->


```r
ggplot(releves_all, aes(x = reorder(ref_typoveg, temperature.gdd300, na.rm=TRUE), y = temperature.gdd300)) +
  geom_boxplot() +
  labs(y="temperature moy", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-18-1.png)<!-- -->


```r
  ggplot(releves_all, aes(x = reorder(ref_typoveg, last_snow_day.gdd300, na.rm=TRUE), y = last_snow_day.gdd300)) +
    geom_boxplot() +
    labs(y="LSD", x="Type vegetation")
```

![](README_files/figure-html/unnamed-chunk-19-1.png)<!-- -->

```r
ggplot(releves_all, aes(x = reorder(ref_typoveg, gddspeed.gdd600, na.rm=TRUE), y = gddspeed.gdd600)) +
    geom_boxplot() +
    labs(y="gddspeed 600", x="Type vegetation")
```

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```
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## Warning: Removed 22 rows containing non-finite values (stat_boxplot).
```

![](README_files/figure-html/unnamed-chunk-20-1.png)<!-- -->


```r
releves_all$date600 = releves_all$last_snow_day.gdd300 + releves_all$gddspeed.gdd600
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ggplot(releves_all, aes(x = reorder(ref_typoveg, date600, na.rm=TRUE), y = date600)) +
    geom_boxplot() +
    labs(y="dateGDD600", x="Type vegetation")
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```
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```
## Warning: Removed 22 rows containing non-finite values (stat_boxplot).
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```

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![](README_files/figure-html/unnamed-chunk-21-1.png)<!-- -->




### Modèle exploratoire complet

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```r
library(randomForest)
```

```
## randomForest 4.6-14
```

```
## Type rfNews() to see new features/changes/bug fixes.
```

```
## 
## Attaching package: 'randomForest'
```

```
## The following object is masked from 'package:ggplot2':
## 
##     margin
```

```
## The following object is masked from 'package:dplyr':
## 
##     combine
```

```r
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vars = c("alti", "slope", "lf", "northing", "easting", "snowfree_time", "cumgdd0", "cumgdd60d", "albedo.gdd300",
"albedo.gdd600", "albedo.gdd900","temperature.gdd300", "frost.gdd300", "frost.gdd600", "frost.gdd900",
"gddspeed.gdd300", "gddspeed.gdd600", "gddspeed.gdd900", "radiations.gdd300",
"radiations.gdd600", "radiations.gdd900", "rainfall.gdd300", "rainfall.gdd600",
"rainfall.gdd900", "snowdays.gdd300", "snowdays.gdd600", "snowdays.gdd900", "ref_typoveg" )
dat = na.omit(releves_all[-which(releves_all$ref_typoveg %in% c("HUM", "LAND", "NA", "EBOU")),c(vars, "hmean")])
dat$lf = as.factor(dat$lf)
dim(dat)
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```

```
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## [1] 430  29
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```

```r
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mod = randomForest(hmean ~ ., data = dat, ntree = 100, mtry=16)

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mod
```

```
## 
## Call:
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##  randomForest(formula = hmean ~ ., data = dat, ntree = 100, mtry = 16) 
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##                Type of random forest: regression
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##                      Number of trees: 100
## No. of variables tried at each split: 16
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## 
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##           Mean of squared residuals: 13.48301
##                     % Var explained: 82
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```

```r
varImpPlot(mod)
```

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![](README_files/figure-html/unnamed-chunk-22-1.png)<!-- -->

### Response graphs

```r
library(plotmo)
```

```
## Loading required package: Formula
```

```
## Loading required package: plotrix
```

```
## Loading required package: TeachingDemos
```

```r
# plotmo(mod, ylim = NA)
```

### Graphs univariés

```r
ggplot(releves_all, aes(x = cumgdd0, y = hmean)) +
  geom_point() +
  geom_smooth(method="auto", se=TRUE, fullrange=FALSE, level=0.95) +
  labs(y="Hauteur", x="GDD 0degree")
```

```
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
```

![](README_files/figure-html/unnamed-chunk-24-1.png)<!-- -->


```r
ggplot(releves_all, aes(x = slope, y = hmean)) +
  geom_point() +
  geom_smooth(method="auto", se=TRUE, fullrange=FALSE, level=0.95) +
  labs(y="Hauteur", x="slope")
```

```
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
```

![](README_files/figure-html/unnamed-chunk-25-1.png)<!-- -->


```r
ggplot(releves_all, aes(x = gddspeed.gdd600, y = hmean)) +
  geom_point() +
  geom_smooth(method="auto", se=TRUE, fullrange=FALSE, level=0.95) +
  labs(y="Hauteur", x="GDD.600")
```

```
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
```

```
## Warning: Removed 22 rows containing non-finite values (stat_smooth).
```

```
## Warning: Removed 22 rows containing missing values (geom_point).
```

![](README_files/figure-html/unnamed-chunk-26-1.png)<!-- -->


### Modèle par type
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```r
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vars = c("alti", "slope", "lf", "northing", "easting", "snowfree_time", "cumgdd0", "cumgdd60d", "albedo.gdd300",
"albedo.gdd600", "albedo.gdd900","temperature.gdd300", "frost.gdd300", "frost.gdd600", "frost.gdd900",
"gddspeed.gdd300", "gddspeed.gdd600", "gddspeed.gdd900", "radiations.gdd300",
"radiations.gdd600", "radiations.gdd900", "rainfall.gdd300", "rainfall.gdd600",
"rainfall.gdd900", "snowdays.gdd300", "snowdays.gdd600", "snowdays.gdd900" )
#vars = c("slope", "lf", "northing", "easting", "snowfree_time", "cumgdd60d", "ref_typoveg")

# dat = na.omit(releves_all[-which(releves_all$ref_typoveg %in% c("HUM", "LAND", "NA", "EBOU")),c(vars, "hmean")])
dat = na.omit(releves_all[which(releves_all$ref_typoveg =="PROD"),c(vars, "hmean")])
# dat$lf = as.factor(dat$lf)
dim(dat)
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```

```
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```

```r
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mod = randomForest(hmean ~., data = dat, ntree = 100, mtry=16)

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mod
```

```
## 
## Call:
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##  randomForest(formula = hmean ~ ., data = dat, ntree = 100, mtry = 16) 
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##                Type of random forest: regression
##                      Number of trees: 100
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## No. of variables tried at each split: 16
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## 
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##           Mean of squared residuals: 39.59158
##                     % Var explained: 64.24
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```

```r
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varImpPlot(mod)
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```

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![](README_files/figure-html/unnamed-chunk-27-1.png)<!-- -->


```r
vars = c("alti", "slope", "lf", "northing", "easting", "snowfree_time", "cumgdd0", "cumgdd60d", "albedo.gdd300",
"albedo.gdd600", "albedo.gdd900","temperature.gdd300", "frost.gdd300", "frost.gdd600", "frost.gdd900",
"gddspeed.gdd300", "gddspeed.gdd600", "gddspeed.gdd900", "radiations.gdd300",
"radiations.gdd600", "radiations.gdd900", "rainfall.gdd300", "rainfall.gdd600",
"rainfall.gdd900", "snowdays.gdd300", "snowdays.gdd600", "snowdays.gdd900" )
#vars = c("slope", "lf", "northing", "easting", "snowfree_time", "cumgdd60d", "ref_typoveg")

# dat = na.omit(releves_all[-which(releves_all$ref_typoveg %in% c("HUM", "LAND", "NA", "EBOU")),c(vars, "hmean")])
dat = na.omit(releves_all[which(releves_all$ref_typoveg =="ALP"),c(vars, "hmean")])
# dat$lf = as.factor(dat$lf)
dim(dat)
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```
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```
## [1] 37 28
```

```r
mod = randomForest(hmean ~., data = dat, ntree = 100, mtry=16)

mod
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```

```
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## 
## Call:
##  randomForest(formula = hmean ~ ., data = dat, ntree = 100, mtry = 16) 
##                Type of random forest: regression
##                      Number of trees: 100
## No. of variables tried at each split: 16
## 
##           Mean of squared residuals: 2.561135
##                     % Var explained: 64.12
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```

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```r
varImpPlot(mod)
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```
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![](README_files/figure-html/unnamed-chunk-28-1.png)<!-- -->


```r
vars = c("alti", "slope", "lf", "northing", "easting", "snowfree_time", "cumgdd0", "cumgdd60d", "albedo.gdd300",
"albedo.gdd600", "albedo.gdd900","temperature.gdd300", "frost.gdd300", "frost.gdd600", "frost.gdd900",
"gddspeed.gdd300", "gddspeed.gdd600", "gddspeed.gdd900", "radiations.gdd300",
"radiations.gdd600", "radiations.gdd900", "rainfall.gdd300", "rainfall.gdd600",
"rainfall.gdd900", "snowdays.gdd300", "snowdays.gdd600", "snowdays.gdd900" )
#vars = c("slope", "lf", "northing", "easting", "snowfree_time", "cumgdd60d", "ref_typoveg")

# dat = na.omit(releves_all[-which(releves_all$ref_typoveg %in% c("HUM", "LAND", "NA", "EBOU")),c(vars, "hmean")])
dat = na.omit(releves_all[which(releves_all$ref_typoveg =="SUB"),c(vars, "hmean")])
# dat$lf = as.factor(dat$lf)
dim(dat)
```

```
## [1] 110  28
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```

```r
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mod = randomForest(hmean ~., data = dat, ntree = 100, mtry=16)

mod
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```

```
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## 
## Call:
##  randomForest(formula = hmean ~ ., data = dat, ntree = 100, mtry = 16) 
##                Type of random forest: regression
##                      Number of trees: 100
## No. of variables tried at each split: 16
## 
##           Mean of squared residuals: 8.781294
##                     % Var explained: 62.75
```

```r
varImpPlot(mod)
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```

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![](README_files/figure-html/unnamed-chunk-29-1.png)<!-- -->


```r
vars = c("alti", "slope", "lf", "northing", "easting", "snowfree_time", "cumgdd0", "cumgdd60d", "albedo.gdd300",
"albedo.gdd600", "albedo.gdd900","temperature.gdd300", "frost.gdd300", "frost.gdd600", "frost.gdd900",
"gddspeed.gdd300", "gddspeed.gdd600", "gddspeed.gdd900", "radiations.gdd300",
"radiations.gdd600", "radiations.gdd900", "rainfall.gdd300", "rainfall.gdd600",
"rainfall.gdd900", "snowdays.gdd300", "snowdays.gdd600", "snowdays.gdd900" )
#vars = c("slope", "lf", "northing", "easting", "snowfree_time", "cumgdd60d", "ref_typoveg")

# dat = na.omit(releves_all[-which(releves_all$ref_typoveg %in% c("HUM", "LAND", "NA", "EBOU")),c(vars, "hmean")])
dat = na.omit(releves_all[which(releves_all$ref_typoveg =="NIV"),c(vars, "hmean")])
# dat$lf = as.factor(dat$lf)
dim(dat)
```

```
## [1] 17 28
```

```r
mod = randomForest(hmean ~., data = dat, ntree = 100, mtry=16)

mod
```

```
## 
## Call:
##  randomForest(formula = hmean ~ ., data = dat, ntree = 100, mtry = 16) 
##                Type of random forest: regression
##                      Number of trees: 100
## No. of variables tried at each split: 16
## 
##           Mean of squared residuals: 2.016446
##                     % Var explained: 20.43
```

```r
varImpPlot(mod)
```

![](README_files/figure-html/unnamed-chunk-30-1.png)<!-- -->

### Interannuel


```r
vars = c("alti", "slope", "lf", "northing", "easting", "snowfree_time", "cumgdd0", "cumgdd60d", "albedo.gdd300",
"albedo.gdd600", "albedo.gdd900","temperature.gdd300", "frost.gdd300", "frost.gdd600", "frost.gdd900",
"gddspeed.gdd300", "gddspeed.gdd600", "gddspeed.gdd900", "radiations.gdd300",
"radiations.gdd600", "radiations.gdd900", "rainfall.gdd300", "rainfall.gdd600",
"rainfall.gdd900", "snowdays.gdd300", "snowdays.gdd600", "snowdays.gdd900")
#vars = c("slope", "lf", "northing", "easting", "snowfree_time", "cumgdd60d", "ref_typoveg")

# dat = na.omit(releves_all[-which(releves_all$ref_typoveg %in% c("HUM", "LAND", "NA", "EBOU")),c(vars, "hmean")])
dat = na.omit(releves_all[-which(releves_all$ref_typoveg %in% c("HUM", "LAND", "NA", "EBOU")),c(vars, "hmean")])

# dat$lf = as.factor(dat$lf)
dim(dat)
```

```
## [1] 430  28
```

```r
dat
```

```
##     alti     slope lf    northing       easting snowfree_time    cumgdd0
## 1   1919 19.561399  5  0.63323767 -7.739574e-01            85 1320.65066
## 2   1919 19.561399  5  0.63323767 -7.739574e-01            31  463.30239
## 3   1919 19.561399  5  0.63323767 -7.739574e-01           130 1927.82501
## 4   2077 34.993999  8  0.70710678 -7.071068e-01           130 1927.82501
## 5   2077 34.993999  8  0.70710678 -7.071068e-01            31  463.30239
## 6   2077 34.993999  8  0.70710678 -7.071068e-01            85 1320.65066
## 7   2186 32.766930  9  0.16313931 -9.866030e-01           130 1927.82501
## 8   2186 32.766930  9  0.16313931 -9.866030e-01            31  463.30239
## 9   2186 32.766930  9  0.16313931 -9.866030e-01            85 1320.65066
## 10  2331 27.563536  5  0.98665157 -1.628455e-01            85 1320.65066
## 11  2331 27.563536  5  0.98665157 -1.628455e-01           130 1927.82501
## 12  1921 22.318069  5  0.04872241 -9.988124e-01            82  697.01427
## 13  1921 22.318069  5  0.04872241 -9.988124e-01            56  826.36174
## 14  1921 22.318069  5  0.04872241 -9.988124e-01            26  395.72060
## 15  1921 22.318069  5  0.04872241 -9.988124e-01            58  683.32011
## 16  1921 22.318069  5  0.04872241 -9.988124e-01            74 1013.44208
## 17  1921 22.318069  5  0.04872241 -9.988124e-01            59  808.08099
## 18  1921 22.318069  5  0.04872241 -9.988124e-01            50  754.04727
## 19  1661  6.054657  3 -0.14142125 -9.899495e-01            75 1029.08588
## 20  1661  6.054657  3 -0.14142125 -9.899495e-01            56  826.36174
## 21  1661  6.054657  3 -0.14142125 -9.899495e-01            58  683.32011
## 22  1661  6.054657  3 -0.14142125 -9.899495e-01            79  668.66468
## 23  1661  6.054657  3 -0.14142125 -9.899495e-01            28  420.05857
## 24  1661  6.054657  3 -0.14142125 -9.899495e-01            51  766.01476
## 25  1661  6.054657  3 -0.14142125 -9.899495e-01            59  808.08099
## 26  1812 20.137175  5 -0.09545235 -9.954340e-01            57  677.86141
## 27  1812 20.137175  5 -0.09545235 -9.954340e-01            52  781.29097
## 28  1812 20.137175  5 -0.09545235 -9.954340e-01            79  668.66468
## 29  1812 20.137175  5 -0.09545235 -9.954340e-01            56  826.36174
## 30  1812 20.137175  5 -0.09545235 -9.954340e-01            74 1013.44208
## 31  1812 20.137175  5 -0.09545235 -9.954340e-01            27  408.73243
## 32  1812 20.137175  5 -0.09545235 -9.954340e-01            61  824.26421
## 33  1835 20.757753  5 -0.59364900 -8.047241e-01            52  781.29097
## 34  1835 20.757753  5 -0.59364900 -8.047241e-01            62  832.40388
## 35  1835 20.757753  5 -0.59364900 -8.047241e-01            79  668.66468
## 36  1835 20.757753  5 -0.59364900 -8.047241e-01            55  806.12789
## 37  1835 20.757753  5 -0.59364900 -8.047241e-01            27  408.73243
## 38  1835 20.757753  5 -0.59364900 -8.047241e-01            55  665.89700
## 39  1835 20.757753  5 -0.59364900 -8.047241e-01            72  981.69472
## 40  1988 19.406727  5 -0.11354666 -9.935327e-01            77 1057.63851
## 41  1988 19.406727  5 -0.11354666 -9.935327e-01            72  908.66371
## 42  1988 19.406727  5 -0.11354666 -9.935327e-01            89  748.77918
## 43  1988 19.406727  5 -0.11354666 -9.935327e-01            55  665.89700
## 44  1988 19.406727  5 -0.11354666 -9.935327e-01            51  727.86394
## 45  1988 19.406727  5 -0.11354666 -9.935327e-01            36  533.33748
## 46  1990 20.464153  5  0.30817699 -9.513290e-01            55  835.88366
## 47  1990 20.464153  5  0.30817699 -9.513290e-01            76 1043.81722
## 48  1990 20.464153  5  0.30817699 -9.513290e-01            36  533.33748
## 49  1990 20.464153  5  0.30817699 -9.513290e-01            65  761.09213
## 50  1990 20.464153  5  0.30817699 -9.513290e-01            51  727.86394
## 51  1990 20.464153  5  0.30817699 -9.513290e-01            72  908.66371
## 52  1990 20.464153  5  0.30817699 -9.513290e-01            89  748.77918
## 53  1997 21.223177  5 -0.20601072 -9.785497e-01            56  877.06514
## 54  1997 21.223177  5 -0.20601072 -9.785497e-01            87 1154.61275
## 55  1997 21.223177  5 -0.20601072 -9.785497e-01            82  969.75087
## 56  1997 21.223177  5 -0.20601072 -9.785497e-01            51  727.86394
## 57  1997 21.223177  5 -0.20601072 -9.785497e-01            75 1130.38851
## 58  1997 21.223177  5 -0.20601072 -9.785497e-01            85 1032.74908
## 59  1997 21.223177  5 -0.20601072 -9.785497e-01            89  748.77918
## 60  2057 24.685001  3 -0.14142125 -9.899495e-01            83 1121.70979
## 61  2057 24.685001  3 -0.14142125 -9.899495e-01            99  779.23270
## 62  2057 24.685001  3 -0.14142125 -9.899495e-01            67  993.21214
## 63  2057 24.685001  3 -0.14142125 -9.899495e-01            77 1164.23945
## 64  2057 24.685001  3 -0.14142125 -9.899495e-01            56  877.06514
## 65  2057 24.685001  3 -0.14142125 -9.899495e-01            76  934.62065
## 66  2057 24.685001  3 -0.14142125 -9.899495e-01            84 1022.66398
## 67  2044 15.020614  8 -0.44721355 -8.944272e-01            83  975.80134
## 68  2044 15.020614  8 -0.44721355 -8.944272e-01            99  779.23270
## 69  2044 15.020614  8 -0.44721355 -8.944272e-01            71 1087.54433
## 70  2044 15.020614  8 -0.44721355 -8.944272e-01            87 1154.61275
## 71  2044 15.020614  8 -0.44721355 -8.944272e-01            67  993.21214
## 72  2044 15.020614  8 -0.44721355 -8.944272e-01            55  865.64419
## 73  2044 15.020614  8 -0.44721355 -8.944272e-01            85 1032.74908
## 74  2089 13.094162  5  0.42993363 -9.028605e-01            55  865.64419
## 75  2089 13.094162  5  0.42993363 -9.028605e-01            84 1130.20231
## 76  2089 13.094162  5  0.42993363 -9.028605e-01            69 1065.53476
## 77  2089 13.094162  5  0.42993363 -9.028605e-01            68 1005.15241
## 78  2089 13.094162  5  0.42993363 -9.028605e-01            88 1072.68675
## 79  2089 13.094162  5  0.42993363 -9.028605e-01            97  774.98970
## 81  2126 16.616142  5 -0.51941516 -8.545220e-01            80  958.19811
## 82  2126 16.616142  5 -0.51941516 -8.545220e-01            55  865.64419
## 83  2126 16.616142  5 -0.51941516 -8.545220e-01            68 1005.15241
## 84  2126 16.616142  5 -0.51941516 -8.545220e-01            71 1087.54433
## 85  2126 16.616142  5 -0.51941516 -8.545220e-01           102  797.53173
## 86  2126 16.616142  5 -0.51941516 -8.545220e-01            80  981.53220
## 87  2126 16.616142  5 -0.51941516 -8.545220e-01            84 1130.20231
## 89  2051 10.142353  5  0.44721379 -8.944271e-01            54  854.17596
## 90  2051 10.142353  5  0.44721379 -8.944271e-01           101  789.36312
## 91  2051 10.142353  5  0.44721379 -8.944271e-01            88 1072.68675
## 92  2051 10.142353  5  0.44721379 -8.944271e-01            88 1162.94935
## 93  2051 10.142353  5  0.44721379 -8.944271e-01            72 1053.15910
## 94  2051 10.142353  5  0.44721379 -8.944271e-01            74 1119.37656
## 95  1932 22.657681  3  0.82648062 -5.629652e-01            25  370.00665
## 96  1932 22.657681  3  0.82648062 -5.629652e-01            30  397.86559
## 97  1880 16.236088  5  0.96152391 -2.747213e-01            30  397.86559
## 98  1880 16.236088  5  0.96152391 -2.747213e-01            25  370.00665
## 99  1880 20.866322  5  0.99689816 -7.870229e-02            30  397.86559
## 100 1880 20.866322  5  0.99689816 -7.870229e-02            25  370.00665
## 101 2347 10.447664  5  0.97618706  2.169305e-01            74 1119.37656
## 102 2347 10.447664  5  0.97618706  2.169305e-01            73 1065.97092
## 103 2504 24.522053  6  0.43842363  8.987684e-01            74 1119.37656
## 104 2504 24.522053  6  0.43842363  8.987684e-01            73 1065.97092
## 105 1877 11.433357  5  0.98893635  1.483405e-01            37  531.60029
## 106 1877 11.433357  5  0.98893635  1.483405e-01            39  617.57336
## 107 2017 19.550577  3  0.98562226  1.689638e-01            39  617.57336
## 108 2017 19.550577  3  0.98562226  1.689638e-01            63  943.87879
## 109 2181 20.836767  6  0.98530802  1.707867e-01            62  973.63694
## 110 2181 20.836767  6  0.98530802  1.707867e-01            63  943.87879
## 111 2366 13.227701  5  0.87214313 -4.892508e-01            76 1107.29131
## 112 2366 13.227701  5  0.87214313 -4.892508e-01            74 1119.37656
## 113 2446 14.079648  8  0.39872611 -9.170701e-01            74 1119.37656
## 114 2446 14.079648  8  0.39872611 -9.170701e-01            76 1107.29131
## 115 1946 25.051271  5  0.56698289 -8.237296e-01            28  360.29603
## 116 1946 25.051271  5  0.56698289 -8.237296e-01            32  483.43647
## 117 1993 29.212370  5  0.58123836 -8.137334e-01            28  360.29603
## 118 1993 29.212370  5  0.58123836 -8.137334e-01            32  483.43647
## 119 2133 29.118483  5  0.20646310 -9.784544e-01            28  360.29603
## 120 2133 29.118483  5  0.20646310 -9.784544e-01            32  483.43647
## 121 2489 19.831015  5 -0.29116174 -9.566738e-01            69 1065.53476
## 122 2489 19.831015  5 -0.29116174 -9.566738e-01            66  981.23925
## 123 2305  8.851474  3  0.09632423  9.953500e-01            69 1065.53476
## 124 2305  8.851474  3  0.09632423  9.953500e-01            66  981.23925
## 125 1722 19.290468  3 -0.59999998  8.000000e-01            19  306.44684
## 126 1722 19.290468  3 -0.59999998  8.000000e-01            51  727.86394
## 127 1626 32.224514  3  0.74565611 -6.663310e-01            19  306.44684
## 128 1626 32.224514  3  0.74565611 -6.663310e-01            15  205.45999
## 129 1921 27.440153  3 -0.96296404 -2.696299e-01            51  727.86394
## 130 2010 23.771791  3 -0.63570723  7.719303e-01            44  630.02850
## 131 2010 23.771791  3 -0.63570723  7.719303e-01            39  617.57336
## 132 2241 11.433357  3 -0.98893636  1.483404e-01            65  968.82754
## 133 2241 11.433357  3 -0.98893636  1.483404e-01            57  875.85392
## 134 2562 14.829863  5 -0.98200644 -1.888474e-01            79 1164.04642
## 135 2562 14.829863  5 -0.98200644 -1.888474e-01            65 1020.40954
## 136 2406 20.050835  0 -0.16439879 -9.863940e-01            65 1020.40954
## 137 2406 20.050835  0 -0.16439879 -9.863940e-01            79 1164.04642
## 138 2201 23.047298  3 -0.91669598 -3.995854e-01            65  968.82754
## 139 2201 23.047298  3 -0.91669598 -3.995854e-01            57  875.85392
## 140 2133 23.643171  3  0.97081062  2.398473e-01            39  617.57336
## 141 2133 23.643171  3  0.97081062  2.398473e-01            36  513.63759
## 142 1933 21.783287  3  0.85079800  5.254929e-01            36  513.63759
## 143 1933 21.783287  3  0.85079800  5.254929e-01            39  617.57336
## 144 2381 30.270573  8 -0.89950815  4.369040e-01            74 1119.37656
## 145 2381 30.270573  8 -0.89950815  4.369040e-01            72 1053.15910
## 146 2324 18.165014  5 -0.99054988 -1.371529e-01            72 1053.15910
## 147 2324 18.165014  5 -0.99054988 -1.371529e-01            74 1119.37656
## 148 1617 19.887100  3  0.64965231  7.602315e-01            34  476.35489
## 149 1617 19.887100  3  0.64965231  7.602315e-01            38  600.18918
## 152 1881 24.940273  3  0.01075204  9.999422e-01            59  916.55307
## 153 1881 24.940273  3  0.01075204  9.999422e-01            56  826.36174
## 154 2336 17.797752  3  0.60745012  7.943578e-01            65 1020.40954
## 155 2336 17.797752  3  0.60745012  7.943578e-01            70 1029.60766
## 156 2254 10.447664  3  0.97618706  2.169305e-01            70 1029.60766
## 157 2254 10.447664  3  0.97618706  2.169305e-01            65 1020.40954
## 158 2048 12.899701  9  0.58946904  8.077910e-01            78 1144.45618
## 159 1952  8.521590  5  0.90100167  4.338156e-01            78 1144.45618
## 160 2198 15.149342  3  0.99726776 -7.387159e-02            56  826.36174
## 161 2335 14.376900  0 -0.35112345 -9.363292e-01            69 1017.88736
## 162 2100  4.883617  4  0.35112345  9.363292e-01            72 1053.15910
## 163 2100  4.883617  4  0.35112345  9.363292e-01            54  816.71649
## 164 2086 14.079560  5  0.99681528  7.974522e-02            72 1053.15910
## 165 2086 14.079560  5  0.99681528  7.974522e-02            54  816.71649
## 166 2070  9.168712  3 -0.27881024  9.603462e-01            54  816.71649
## 167 2070  9.168712  3 -0.27881024  9.603462e-01            72 1053.15910
## 170 2361 21.414291  8 -0.33148598 -9.434601e-01            72  981.69472
## 171 2361 21.414291  8 -0.33148598 -9.434601e-01            48  777.52354
## 172 2361 21.414291  8 -0.33148598 -9.434601e-01            67  796.09020
## 173 2361 21.414291  8 -0.33148598 -9.434601e-01            50  754.04727
## 174 2361 21.414291  8 -0.33148598 -9.434601e-01            62  930.71293
## 177 2284 26.260283  5  0.30404037 -9.526591e-01            50  754.04727
## 178 2284 26.260283  5  0.30404037 -9.526591e-01            57  845.90141
## 179 2284 26.260283  5  0.30404037 -9.526591e-01            48  777.52354
## 180 2284 26.260283  5  0.30404037 -9.526591e-01            67  796.09020
## 182 2284 26.260283  5  0.30404037 -9.526591e-01            72  981.69472
## 184 2585 13.686314  6 -0.94449684 -3.285205e-01            94 1247.80671
## 185 2585 13.686314  6 -0.94449684 -3.285205e-01            88 1367.53181
## 187 2585 13.686314  6 -0.94449684 -3.285205e-01            62  957.11729
## 188 2585 13.686314  6 -0.94449684 -3.285205e-01            86 1287.78218
## 190 2585 13.686314  6 -0.94449684 -3.285205e-01            87 1057.29921
## 191 2513 15.928852  5  0.05255882 -9.986178e-01            87 1057.29921
## 192 2513 15.928852  5  0.05255882 -9.986178e-01            86 1338.79708
## 193 2513 15.928852  5  0.05255882 -9.986178e-01            62  957.11729
## 195 2513 15.928852  5  0.05255882 -9.986178e-01            94 1247.80671
## 197 1889 11.794471  0 -0.95782626  2.873480e-01            55  665.89700
## 198 1889 11.794471  0 -0.95782626  2.873480e-01            66  608.26248
## 199 1889 11.794471  0 -0.95782626  2.873480e-01            34  497.46683
## 200 1889 11.794471  0 -0.95782626  2.873480e-01            59  823.24277
## 201 1889 11.794471  0 -0.95782626  2.873480e-01            39  617.57336
## 202 1889 11.794471  0 -0.95782626  2.873480e-01            34  476.35489
## 203 1889 11.794471  0 -0.95782626  2.873480e-01            54  769.81808
## 204 1899  5.267619  0 -0.97618706  2.169305e-01            39  617.57336
## 205 1899  5.267619  0 -0.97618706  2.169305e-01            34  497.46683
## 206 1899  5.267619  0 -0.97618706  2.169305e-01            55  665.89700
## 207 1899  5.267619  0 -0.97618706  2.169305e-01            59  823.24277
## 208 1899  5.267619  0 -0.97618706  2.169305e-01            34  476.35489
## 209 1899  5.267619  0 -0.97618706  2.169305e-01            54  769.81808
## 210 1899  5.267619  0 -0.97618706  2.169305e-01            66  608.26248
## 212 2498 11.595437  5 -0.68231830 -7.310552e-01            81  991.53201
## 213 2498 11.595437  5 -0.68231830 -7.310552e-01            71 1040.94457
## 214 2498 11.595437  5 -0.68231830 -7.310552e-01            68 1054.68375
## 215 2498 11.595437  5 -0.68231830 -7.310552e-01            76 1167.73357
## 217 2458  9.064236  5 -0.84623279  5.328134e-01            81  991.53201
## 219 2458  9.064236  5 -0.84623279  5.328134e-01            71 1040.94457
## 220 2458  9.064236  5 -0.84623279  5.328134e-01            76 1167.73357
## 222 2458  9.064236  5 -0.84623279  5.328134e-01            68 1054.68375
## 223 1906  8.370561  3  0.98546011 -1.699070e-01            34  497.46683
## 224 1906  8.370561  3  0.98546011 -1.699070e-01            58  683.32011
## 225 1906  8.370561  3  0.98546011 -1.699070e-01            74  639.38956
## 226 1906  8.370561  3  0.98546011 -1.699070e-01            50  711.26510
## 227 1906  8.370561  3  0.98546011 -1.699070e-01            64  877.87061
## 228 1906  8.370561  3  0.98546011 -1.699070e-01            38  600.18918
## 229 1906  8.370561  3  0.98546011 -1.699070e-01            55  777.43041
## 230 1968 27.750105  3  0.98837172 -1.520571e-01            38  600.18918
## 231 1968 27.750105  3  0.98837172 -1.520571e-01            50  711.26510
## 232 1968 27.750105  3  0.98837172 -1.520571e-01            40  620.43704
## 233 1968 27.750105  3  0.98837172 -1.520571e-01            58  683.32011
## 234 1968 27.750105  3  0.98837172 -1.520571e-01            55  777.43041
## 235 1968 27.750105  3  0.98837172 -1.520571e-01            74  639.38956
## 236 2372 19.664772  5  0.95144452  3.078203e-01            71 1040.94457
## 237 2372 19.664772  5  0.95144452  3.078203e-01            74 1119.37656
## 238 2372 19.664772  5  0.95144452  3.078203e-01            74 1146.22604
## 242 2352 22.442842  5  0.99264588  1.210544e-01            74 1146.22604
## 243 2352 22.442842  5  0.99264588  1.210544e-01            74 1119.37656
## 244 2352 22.442842  5  0.99264588  1.210544e-01            93 1158.67656
## 246 2352 22.442842  5  0.99264588  1.210544e-01            71 1040.94457
## 247 2502 25.058796  5 -0.66303522 -7.485882e-01            55  865.64419
## 248 2502 25.058796  5 -0.66303522 -7.485882e-01            66 1032.89455
## 249 2502 25.058796  5 -0.66303522 -7.485882e-01            74 1013.44208
## 250 2502 25.058796  5 -0.66303522 -7.485882e-01            76  940.89507
## 252 2424 22.222193  5 -0.36716668 -9.301552e-01            66 1032.89455
## 253 2424 22.222193  5 -0.36716668 -9.301552e-01            74 1013.44208
## 254 2424 22.222193  5 -0.36716668 -9.301552e-01            55  865.64419
## 255 2424 22.222193  5 -0.36716668 -9.301552e-01            76  940.89507
## 257 2628 10.425138  5  0.67940793 -7.337608e-01            95 1444.61321
## 258 2628 10.425138  5  0.67940793 -7.337608e-01            70 1097.36126
## 262 2740 12.732080  5 -0.42046096 -9.073106e-01            95 1444.61321
## 263 2740 12.732080  5 -0.42046096 -9.073106e-01            70 1097.36126
## 266 2740 12.732080  5 -0.42046096 -9.073106e-01            93 1158.67656
## 267 2102  8.049617  3 -0.98994951 -1.414213e-01            51  766.01476
## 268 2102  8.049617  3 -0.98994951 -1.414213e-01            55  806.12789
## 269 2102  8.049617  3 -0.98994951 -1.414213e-01            65  889.12161
## 270 2102  8.049617  3 -0.98994951 -1.414213e-01            61  824.26421
## 271 2102  8.049617  3 -0.98994951 -1.414213e-01            39  596.83539
## 272 2102  8.049617  3 -0.98994951 -1.414213e-01            62  715.86476
## 273 2102  8.049617  3 -0.98994951 -1.414213e-01            73  636.05940
## 274 2099  4.866927  3 -0.76338628  6.459422e-01           -40   45.84927
## 275 2099  4.866927  3 -0.76338628  6.459422e-01            51  766.01476
## 276 2099  4.866927  3 -0.76338628  6.459422e-01            55  806.12789
## 277 2099  4.866927  3 -0.76338628  6.459422e-01            62  715.86476
## 278 2099  4.866927  3 -0.76338628  6.459422e-01            73  636.05940
## 279 2099  4.866927  3 -0.76338628  6.459422e-01            61  824.26421
## 280 2326  2.064978  3  0.83205033 -5.547001e-01            90 1105.72775
## 281 2326  2.064978  3  0.83205033 -5.547001e-01            88 1162.94935
## 282 2326  2.064978  3  0.83205033 -5.547001e-01            68 1065.16233
## 284 2326  2.064978  3  0.83205033 -5.547001e-01            69 1017.88736
## 285 2326  2.064978  3  0.83205033 -5.547001e-01            73 1109.01084
## 287 2484  6.264547  5  0.86542637 -5.010361e-01            73 1109.01084
## 288 2484  6.264547  5  0.86542637 -5.010361e-01            90 1105.72775
## 290 2484  6.264547  5  0.86542637 -5.010361e-01            88 1162.94935
## 291 2484  6.264547  5  0.86542637 -5.010361e-01            68 1065.16233
## 293 2484  6.264547  5  0.86542637 -5.010361e-01            69 1017.88736
## 294 2124 15.727636  3 -0.99430914 -1.065332e-01            27  408.73243
## 295 2124 15.727636  3 -0.99430914 -1.065332e-01            53  652.50438
## 296 2124 15.727636  3 -0.99430914 -1.065332e-01            56  784.95543
## 297 2124 15.727636  3 -0.99430914 -1.065332e-01            44  684.52820
## 298 2124 15.727636  3 -0.99430914 -1.065332e-01            67  613.42025
## 299 2178 13.835295  3 -0.99483415  1.015136e-01            44  684.52820
## 300 2178 13.835295  3 -0.99483415  1.015136e-01            27  408.73243
## 301 2178 13.835295  3 -0.99483415  1.015136e-01            67  613.42025
## 302 2178 13.835295  3 -0.99483415  1.015136e-01            56  784.95543
## 303 2178 13.835295  3 -0.99483415  1.015136e-01            53  652.50438
## 304 2427  8.985065  5 -0.82219213  5.692101e-01            94 1175.35535
## 306 2427  8.985065  5 -0.82219213  5.692101e-01            84 1255.67197
## 307 2427  8.985065  5 -0.82219213  5.692101e-01            73 1135.34220
## 309 2427  8.985065  5 -0.82219213  5.692101e-01            44  684.52820
## 310 2450 15.070232  5 -0.96561579 -2.599734e-01            73 1135.34220
## 313 2450 15.070232  5 -0.96561579 -2.599734e-01            87 1353.25752
## 314 2450 15.070232  5 -0.96561579 -2.599734e-01            94 1175.35535
## 315 2450 15.070232  5 -0.96561579 -2.599734e-01            84 1255.67197
## 316 2256 12.213501  3 -0.11550073 -9.933074e-01            59  916.55307
## 317 2256 12.213501  3 -0.11550073 -9.933074e-01            41  643.53688
## 318 2256 12.213501  3 -0.11550073 -9.933074e-01            66  778.26528
## 320 2271 13.342694  3 -0.31622782 -9.486833e-01            41  643.53688
## 321 2271 13.342694  3 -0.31622782 -9.486833e-01            66  778.26528
## 322 2271 13.342694  3 -0.31622782 -9.486833e-01            59  916.55307
## 323 2312 16.317568  3  0.13663720 -9.906212e-01           120 1665.81366
## 324 2312 16.317568  3  0.13663720 -9.906212e-01            97 1548.27269
## 325 2312 16.317568  3  0.13663720 -9.906212e-01           122 1542.61864
## 326 2312 16.317568  3  0.13663720 -9.906212e-01            94 1434.51239
## 330 2282 12.586358  3  0.55985740  8.285890e-01           120 1665.81366
## 332 2282 12.586358  3  0.55985740  8.285890e-01            94 1434.51239
## 333 2282 12.586358  3  0.55985740  8.285890e-01            97 1548.27269
## 334 2282 12.586358  3  0.55985740  8.285890e-01           122 1542.61864
## 335 1604  4.866927  4 -0.76338628  6.459422e-01            27  408.73243
## 336 1604  4.866927  4 -0.76338628  6.459422e-01            36  563.75264
## 337 1604  4.866927  4 -0.76338628  6.459422e-01            38  548.09861
## 338 1604  4.866927  4 -0.76338628  6.459422e-01            48  602.80238
## 339 1604  4.866927  4 -0.76338628  6.459422e-01            60  559.58774
## 340 1604  4.866927  4 -0.76338628  6.459422e-01            46  694.96416
## 341 1600  4.124605  4 -0.83205033  5.547001e-01            48  602.80238
## 342 1600  4.124605  4 -0.83205033  5.547001e-01            46  694.96416
## 343 1600  4.124605  4 -0.83205033  5.547001e-01            60  559.58774
## 344 1600  4.124605  4 -0.83205033  5.547001e-01            36  563.75264
## 345 1600  4.124605  4 -0.83205033  5.547001e-01            38  548.09861
## 346 1600  4.124605  4 -0.83205033  5.547001e-01            27  408.73243
## 347 1639  1.280985  4  0.89442709 -4.472138e-01            36  563.75264
## 348 1639  1.280985  4  0.89442709 -4.472138e-01            27  408.73243
## 349 1639  1.280985  4  0.89442709 -4.472138e-01            48  602.80238
## 350 1639  1.280985  4  0.89442709 -4.472138e-01            60  559.58774
## 351 1639  1.280985  4  0.89442709 -4.472138e-01            46  694.96416
## 352 1639  1.280985  4  0.89442709 -4.472138e-01            38  548.09861
## 353 1636  5.313655  5 -0.59136377 -8.064049e-01            46  694.96416
## 354 1636  5.313655  5 -0.59136377 -8.064049e-01            60  559.58774
## 355 1636  5.313655  5 -0.59136377 -8.064049e-01            38  548.09861
## 356 1636  5.313655  5 -0.59136377 -8.064049e-01            36  563.75264
## 357 1636  5.313655  5 -0.59136377 -8.064049e-01            27  408.73243
## 358 1636  5.313655  5 -0.59136377 -8.064049e-01            48  602.80238
## 359 1637  3.262907  4 -0.61394063  7.893522e-01            46  694.96416
## 360 1637  3.262907  4 -0.61394063  7.893522e-01            36  563.75264
## 361 1637  3.262907  4 -0.61394063  7.893522e-01            48  602.80238
## 362 1637  3.262907  4 -0.61394063  7.893522e-01            38  548.09861
## 363 1637  3.262907  4 -0.61394063  7.893522e-01            27  408.73243
## 364 1637  3.262907  4 -0.61394063  7.893522e-01            60  559.58774
## 365 1633  5.267640  5 -0.65079128  7.592567e-01            48  602.80238
## 366 1633  5.267640  5 -0.65079128  7.592567e-01            46  694.96416
## 367 1633  5.267640  5 -0.65079128  7.592567e-01            38  548.09861
## 368 1633  5.267640  5 -0.65079128  7.592567e-01            27  408.73243
## 369 1633  5.267640  5 -0.65079128  7.592567e-01            60  559.58774
## 370 1633  5.267640  5 -0.65079128  7.592567e-01            36  563.75264
## 371 1645  8.148282  5 -0.97780241  2.095291e-01            60  559.58774
## 372 1645  8.148282  5 -0.97780241  2.095291e-01            36  563.75264
## 373 1645  8.148282  5 -0.97780241  2.095291e-01            38  548.09861
## 374 1645  8.148282  5 -0.97780241  2.095291e-01            27  408.73243
## 375 1645  8.148282  5 -0.97780241  2.095291e-01            48  602.80238
## 376 1645  8.148282  5 -0.97780241  2.095291e-01            46  694.96416
## 377 1663  8.455866  5 -0.94174191  3.363364e-01            48  602.80238
## 378 1663  8.455866  5 -0.94174191  3.363364e-01            46  694.96416
## 379 1663  8.455866  5 -0.94174191  3.363364e-01            36  563.75264
## 380 1663  8.455866  5 -0.94174191  3.363364e-01            27  408.73243
## 381 1663  8.455866  5 -0.94174191  3.363364e-01            38  548.09861
## 382 1663  8.455866  5 -0.94174191  3.363364e-01            60  559.58774
## 383 1675  5.960376  5 -0.95782626 -2.873480e-01            27  408.73243
## 384 1675  5.960376  5 -0.95782626 -2.873480e-01            60  559.58774
## 385 1675  5.960376  5 -0.95782626 -2.873480e-01            38  548.09861
## 386 1675  5.960376  5 -0.95782626 -2.873480e-01            36  563.75264
## 387 1675  5.960376  5 -0.95782626 -2.873480e-01            46  694.96416
## 388 1675  5.960376  5 -0.95782626 -2.873480e-01            48  602.80238
## 389 1649 12.320358  5 -0.96152398 -2.747210e-01            38  548.09861
## 390 1649 12.320358  5 -0.96152398 -2.747210e-01            46  694.96416
## 391 1649 12.320358  5 -0.96152398 -2.747210e-01            60  559.58774
## 392 1649 12.320358  5 -0.96152398 -2.747210e-01            36  563.75264
## 393 1649 12.320358  5 -0.96152398 -2.747210e-01            48  602.80238
## 394 1649 12.320358  5 -0.96152398 -2.747210e-01            27  408.73243
## 395 1657  4.064891  4 -0.63323788  7.739572e-01            27  408.73243
## 396 1657  4.064891  4 -0.63323788  7.739572e-01            48  602.80238
## 397 1657  4.064891  4 -0.63323788  7.739572e-01            60  559.58774
## 398 1657  4.064891  4 -0.63323788  7.739572e-01            36  563.75264
## 399 1657  4.064891  4 -0.63323788  7.739572e-01            46  694.96416
## 400 1657  4.064891  4 -0.63323788  7.739572e-01            38  548.09861
## 401 1664  4.574007  4 -1.00000000  1.224647e-16            36  563.75264
## 402 1664  4.574007  4 -1.00000000  1.224647e-16            48  602.80238
## 403 1664  4.574007  4 -1.00000000  1.224647e-16            38  548.09861
## 404 1664  4.574007  4 -1.00000000  1.224647e-16            27  408.73243
## 405 1664  4.574007  4 -1.00000000  1.224647e-16            60  559.58774
## 406 1664  4.574007  4 -1.00000000  1.224647e-16            46  694.96416
## 407 1295  1.460473  3 -0.98058066 -1.961162e-01            89 1171.97077
## 408 1295  1.460473  3 -0.98058066 -1.961162e-01            48  684.37992
## 409 1295  1.460473  3 -0.98058066 -1.961162e-01            61  824.26421
## 410 1295  1.460473  3 -0.98058066 -1.961162e-01            60  697.81247
## 411 1295  1.460473  3 -0.98058066 -1.961162e-01            74  639.38956
## 412 1295  1.460473  3 -0.98058066 -1.961162e-01            54  816.71649
## 413 1295  1.460473  3 -0.98058066 -1.961162e-01            42  666.31022
## 414 1323 17.890415  5 -0.96034621 -2.788102e-01            60  697.81247
## 415 1323 17.890415  5 -0.96034621 -2.788102e-01            74  639.38956
## 416 1323 17.890415  5 -0.96034621 -2.788102e-01            54  816.71649
## 417 1323 17.890415  5 -0.96034621 -2.788102e-01            42  666.31022
## 418 1323 17.890415  5 -0.96034621 -2.788102e-01            48  684.37992
## 419 1323 17.890415  5 -0.96034621 -2.788102e-01            61  824.26421
## 420 1940 25.836716  9 -0.96034621  2.788102e-01            80 1222.47302
## 421 1940 25.836716  9 -0.96034621  2.788102e-01            79 1164.04642
## 422 1940 25.836716  9 -0.96034621  2.788102e-01            94 1175.35535
## 423 1940 25.836716  9 -0.96034621  2.788102e-01            67 1047.70472
## 424 1940 25.836716  9 -0.96034621  2.788102e-01            84  983.09567
## 425 1940 25.836716  9 -0.96034621  2.788102e-01           102  797.53173
## 426 1484 15.494670  5  0.77556205 -6.312713e-01            59  549.11329
## 427 1484 15.494670  5  0.77556205 -6.312713e-01            35  495.22448
## 428 1484 15.494670  5  0.77556205 -6.312713e-01            37  582.36577
## 429 1484 15.494670  5  0.77556205 -6.312713e-01            47  706.25703
## 430 1484 15.494670  5  0.77556205 -6.312713e-01            47  589.51168
## 431 1484 15.494670  5  0.77556205 -6.312713e-01            92 1214.25444
## 432 1484 15.494670  5  0.77556205 -6.312713e-01            26  395.72060
## 433 1517 15.045402  3 -0.98588655 -1.674148e-01            47  589.51168
## 434 1517 15.045402  3 -0.98588655 -1.674148e-01            35  495.22448
## 435 1517 15.045402  3 -0.98588655 -1.674148e-01            59  549.11329
## 436 1517 15.045402  3 -0.98588655 -1.674148e-01            26  395.72060
## 437 1517 15.045402  3 -0.98588655 -1.674148e-01            92 1214.25444
## 438 1517 15.045402  3 -0.98588655 -1.674148e-01            37  582.36577
## 439 1517 15.045402  3 -0.98588655 -1.674148e-01            47  706.25703
## 440 1915 13.244994  9 -0.97717638  2.124296e-01           101  789.36312
## 441 1915 13.244994  9 -0.97717638  2.124296e-01            62  957.11729
## 442 1915 13.244994  9 -0.97717638  2.124296e-01            79 1202.45892
## 443 1915 13.244994  9 -0.97717638  2.124296e-01            83  975.80134
## 444 1915 13.244994  9 -0.97717638  2.124296e-01            92 1214.25444
## 445 1915 13.244994  9 -0.97717638  2.124296e-01            89 1088.98432
## 446 1546 12.707848  5 -0.99778516 -6.651896e-02            24  302.90701
## 447 1546 12.707848  5 -0.99778516 -6.651896e-02            26  381.68373
## 448 1546 12.707848  5 -0.99778516 -6.651896e-02            25  381.68847
## 449 1546 12.707848  5 -0.99778516 -6.651896e-02            55  777.43041
## 450 1546 12.707848  5 -0.99778516 -6.651896e-02            68  617.99363
## 451 1546 12.707848  5 -0.99778516 -6.651896e-02            34  434.88392
## 452 1628  7.209260  5  0.94868330  3.162278e-01            26  381.68373
## 453 1628  7.209260  5  0.94868330  3.162278e-01            34  434.88392
## 454 1628  7.209260  5  0.94868330  3.162278e-01            55  777.43041
## 455 1628  7.209260  5  0.94868330  3.162278e-01            47  653.76937
## 456 1628  7.209260  5  0.94868330  3.162278e-01            25  381.68847
## 457 1628  7.209260  5  0.94868330  3.162278e-01            24  302.90701
## 458 1628  7.209260  5  0.94868330  3.162278e-01            68  617.99363
## 459 1592 27.565702  6  0.95782626 -2.873480e-01            24  302.90701
## 460 1592 27.565702  6  0.95782626 -2.873480e-01            26  381.68373
## 461 1592 27.565702  6  0.95782626 -2.873480e-01            25  381.68847
## 462 1592 27.565702  6  0.95782626 -2.873480e-01            55  777.43041
## 463 1592 27.565702  6  0.95782626 -2.873480e-01            53  495.70283
## 464 1592 27.565702  6  0.95782626 -2.873480e-01            47  653.76937
## 465 1592 27.565702  6  0.95782626 -2.873480e-01            34  434.88392
## 466 1572  4.866949  6  0.05872206  9.982744e-01            55  777.43041
## 467 1572  4.866949  6  0.05872206  9.982744e-01            26  381.68373
## 468 1572  4.866949  6  0.05872206  9.982744e-01            53  495.70283
## 469 1572  4.866949  6  0.05872206  9.982744e-01            34  434.88392
## 470 1572  4.866949  6  0.05872206  9.982744e-01            24  302.90701
## 471 1572  4.866949  6  0.05872206  9.982744e-01            47  653.76937
## 472 1572  4.866949  6  0.05872206  9.982744e-01            25  381.68847
##     cumgdd60d albedo.gdd300 albedo.gdd600 albedo.gdd900 temperature.gdd300
## 1    962.1142      4.200000      8.000000      12.20000          14.609651
## 2    500.4159      4.200000      8.000000      12.20000          14.609651
## 3    862.2902      4.200000      8.000000      12.20000          14.609651
## 4    862.2902      4.800000      9.200000      13.60000          12.585864
## 5    500.4159      4.800000      9.200000      13.60000          12.585864
## 6    962.1142      4.800000      9.200000      13.60000          12.585864
## 7    862.2902      5.647690     10.047690      14.64769          12.679484
## 8    500.4159      5.647690     10.047690      14.64769          12.679484
## 9    962.1142      5.647690     10.047690      14.64769          12.679484
## 10   962.1142      5.600000     11.000000      29.62879          10.303588
## 11   862.2902      5.600000     11.000000      29.62879          10.303588
## 12   432.6997      5.400000     14.038350      23.63835           8.871594
## 13   847.8084      5.200000      8.800000      12.60000          14.214955
## 14   543.2683      4.400000      8.400000      12.00000          17.349204
## 15   702.9084      5.638343     10.638343      15.63834          12.402410
## 16   829.5859      5.230626      9.430626      13.83063          15.304702
## 17   808.0810      3.800000      8.200000      14.60000           9.911213
## 18   754.0473     17.668157     21.868157      25.86816          13.799790
## 19   837.0331      5.108885      9.108885      13.50888          15.534620
## 20   847.8084      5.200000      8.800000      12.40000          14.243666
## 21   702.9084      5.437405     10.637405      15.63740          12.508597
## 22   443.6595      5.400000     14.037593      23.43759           8.932598
## 23   567.6062      4.600000      8.400000      12.00000          17.538128
## 24   766.0148     17.651081     21.851081      25.85108          13.924356
## 25   808.0810      3.800000      8.200000      14.20000           9.982181
## 26   717.6759      5.638343     10.638343      15.63834          12.402410
## 27   781.2910     17.668157     21.868157      25.86816          13.799790
## 28   443.6595      5.400000     14.038350      23.63835           8.871594
## 29   847.8084      5.200000      8.800000      12.60000          14.214955
## 30   829.5859      5.230626      9.430626      13.83063          15.304702
## 31   556.2801      4.400000      8.400000      12.00000          17.349204
## 32   806.9520      3.800000      8.200000      14.60000           9.911213
## 33   781.2910     17.729803     21.529803      25.12980          13.959970
## 34   798.4358      3.800000      8.000000      14.00000          10.060232
## 35   443.6595      5.600000     13.836816      23.43682           9.035167
## 36   833.9031      6.454619     10.654619      14.45462          13.957824
## 37   556.2801      9.239239     13.039239      16.83924          17.197528
## 38   746.2424      5.654960     10.691114      16.09111          12.706212
## 39   815.4185     18.120063     22.545760      26.74576          15.424403
## 40   846.9239      5.000000     10.800000      15.80000          13.712227
## 41   721.5143      5.800000     17.600000      27.20000           6.573599
## 42   412.5174     16.800000     24.400000      34.08748           5.960801
## 43   746.2424      6.400000     12.200000      17.80000          10.284038
## 44   788.7396      5.200000      9.800000      14.60000          11.875821
## 45   680.8851      4.800000      9.200000      13.80000          15.590719
## 46   835.8837      5.000000      9.400000      14.20000          12.481557
## 47   842.5580      5.000000     10.800000      15.80000          13.712227
## 48   680.8851      4.800000      9.200000      13.80000          15.590719
## 49   683.4566      6.400000     12.200000      17.80000          10.284038
## 50   788.7396      5.200000      9.800000      14.60000          11.875821
## 51   721.5143      5.800000     17.600000      27.20000           6.573599
## 52   412.5174     16.800000     24.400000      34.08748           5.960801
## 53   908.6117      4.800000      9.200000      13.80000          15.590719
## 54   787.7420      5.000000     10.800000      15.80000          13.712227
## 55   590.1205      5.800000     17.600000      27.20000           6.573599
## 56   788.7396      5.200000      9.800000      14.60000          11.875821
## 57   894.2700      5.000000      9.400000      14.20000          12.481557
## 58   699.3959      6.400000     12.200000      17.80000          10.284038
## 59   412.5174     16.800000     24.400000      34.08748           5.960801
## 60   831.8332      5.000000     10.800000      15.80000          13.712227
## 61   355.0610     16.800000     24.400000      34.08748           5.960801
## 62   925.5026      5.200000      9.800000      14.60000          11.875821
## 63   896.1002      5.000000      9.400000      14.20000          12.481557
## 64   908.6117      4.800000      9.200000      13.80000          15.590719
## 65   666.2648      5.800000     17.600000      27.20000           6.573599
## 66   705.8192      6.400000     12.200000      17.80000          10.284038
## 67   581.7192      5.800000     16.600000      26.00000           6.657332
## 68   355.0610     15.486084     27.686084      34.74239           6.233290
## 69   928.1313      5.000000      9.600000      14.00000          12.577044
## 70   787.7420      5.000000     10.400000      15.60000          13.784043
## 71   925.5026      5.200000      9.800000      14.60000          11.905002
## 72   897.1907      4.800000      9.000000      13.60000          15.686980
## 73   699.3959      6.000000     12.000000      17.40000          10.404712
## 74   897.1907      4.600000      9.400000      13.80000          15.532190
## 75   821.6609      5.600000     11.600000      16.20000          13.593437
## 76   945.0980      5.156125      9.556125      14.15612          12.309594
## 77   922.9745      5.000000      9.800000      14.40000          12.009246
## 78   698.5549      7.200000     12.400000      17.80000          10.187676
## 79   368.6682     16.400000     24.400000      34.07766           5.982863
## 81   609.4065      5.800000     16.600000      26.00000           6.657332
## 82   897.1907      4.800000      9.000000      13.60000          15.686980
## 83   922.9745      5.200000      9.800000      14.60000          11.905002
## 84   928.1313      5.000000      9.600000      14.00000          12.577044
## 85   351.4912     15.486084     27.686084      34.74239           6.233290
## 86   737.0406      6.000000     12.000000      17.40000          10.404712
## 87   821.6609      5.000000     10.400000      15.60000          13.784043
## 89   885.7225      4.600000      9.400000      13.80000          15.532190
## 90   349.8411     16.400000     24.400000      34.07766           5.982863
## 91   698.5549      7.200000     12.400000      17.80000          10.187676
## 92   777.7295      5.600000     11.600000      16.20000          13.593437
## 93   904.9177      5.000000      9.800000      14.40000          12.009246
## 94   901.9375      5.156125      9.556125      14.15612          12.309594
## 95   407.1202      4.400000      8.400000      12.40000          14.480775
## 96   458.7412      5.000000      8.800000      12.60000          14.589345
## 97   458.7412      5.000000      8.800000      12.60000          14.550092
## 98   407.1202      4.400000      8.400000      12.40000          14.479996
## 99   458.7412      5.000000      8.800000      12.60000          14.550092
## 100  407.1202      4.400000      8.400000      12.40000          14.479996
## 101  901.9375      5.400000     10.800000      16.60000          10.686894
## 102  901.2913      6.200000     11.400000      16.40000          10.914890
## 103  901.9375      5.400000     10.800000      16.80000          10.565551
## 104  901.2913      6.400000     11.800000      17.00000          10.657374
## 105  592.4759      5.000000      8.800000      12.60000          14.550092
## 106  648.0697      4.400000      8.400000      12.40000          14.479996
## 107  648.0697      4.400000      8.000000      12.20000          13.650515
## 108  920.5881      5.000000      9.600000      14.00000          13.297721
## 109  955.6806      4.400000      8.000000      12.20000          13.650515
## 110  920.5881      5.000000      9.600000      14.00000          13.297721
## 111  901.8313      6.000000     11.000000      16.20000          11.012393
## 112  901.9375      5.400000     10.800000      16.60000          10.676477
## 113  901.9375      5.400000     10.800000      16.60000          10.676477
## 114  901.8313      6.000000     11.000000      16.20000          11.012393
## 115  421.1717      5.000000      8.800000      12.60000          14.589345
## 116  520.5500      4.400000      8.400000      12.40000          14.480775
## 117  421.1717      5.000000      9.600000      14.00000          13.304059
## 118  520.5500      4.400000      8.000000      12.20000          13.624208
## 119  421.1717      5.000000      9.800000      14.20000          13.291679
## 120  520.5500      4.600000      8.400000      12.60000          13.449620
## 121  945.0980      5.200000     10.600000      16.60000          10.616608
## 122  926.5588      6.600000     11.800000      17.00000          10.724801
## 123  945.0980      5.200000     10.400000      16.60000          10.587159
## 124  926.5588      6.600000     11.600000      17.00000          10.771882
## 125  343.5604     16.364672     20.164672      23.76467          13.923955
## 126  788.7396      6.455920     11.055920      14.85592          13.900070
## 127  343.5604     14.126099     17.526099      20.32610          15.585553
## 128  266.3356      5.600000     10.000000      13.20000          15.394119
## 129  788.7396      6.455912     11.055912      14.85591          13.986219
## 130  690.9042      5.800000     10.800000      15.40000          12.156517
## 131  648.0697     19.141057     23.541057      27.94106          12.448935
## 132  925.8269      5.800000     10.600000      15.20000          12.460514
## 133  875.8539      4.600000      8.800000      13.00000          13.232868
## 134  927.8016      7.400000     13.400000      19.00000           9.111253
## 135  969.5104      6.200000     12.200000      22.06707           8.986323
## 136  969.5104      5.400000     10.800000      16.40000          10.672531
## 137  927.8016      6.800000     12.200000      17.60000          10.332904
## 138  925.8269      5.800000     10.600000      15.20000          12.337738
## 139  875.8539      4.800000      8.800000      13.20000          13.130574
## 140  648.0697      4.600000      8.400000      12.80000          13.178477
## 141  574.5132      5.000000      9.400000      13.80000          13.401679
## 142  574.5132      4.800000      8.600000      12.60000          14.708102
## 143  648.0697     16.936766     21.136766      24.93677          14.404342
## 144  901.9375     23.434038     28.634038      34.23404          10.145968
## 145  904.9177      6.400000     12.000000      17.80000          10.634569
## 146  904.9177      6.600000     12.000000      17.40000          10.759940
## 147  901.9375      5.400000     10.800000      16.40000          10.464241
## 148  537.2305      5.000000      9.400000      12.60000          15.798361
## 149  637.3027     10.257120     14.057120      17.85712          15.462047
## 152  916.5531     13.743227     17.543227      20.94323          13.736428
## 153  847.8084      5.505051      9.905051      14.10505          14.245410
## 154  969.5104      5.400000     11.200000      17.20000          10.363247
## 155  915.1316      6.400000     11.600000      16.80000          10.853593
## 156  915.1316      6.200000     11.400000      16.60000          10.947235
## 157  969.5104      5.400000     11.000000      17.00000          10.499150
## 158  918.4270      4.800000      8.800000      12.60000          15.046265
## 159  918.4270      4.800000      8.800000      12.60000          15.034108
## 160  847.8084      4.800000      8.800000      12.60000          15.143442
## 161  919.6910      5.600000     10.800000      16.00000          11.777184
## 162  904.9177      4.800000      9.000000      13.00000          14.192609
## 163  816.7165     15.229484     19.829484      24.02948          12.730488
## 164  904.9177      4.800000      8.800000      12.80000          14.217863
## 165  816.7165      5.200000      9.200000      13.60000          12.992469
## 166  816.7165     15.229484     19.829484      24.02948          12.730488
## 167  904.9177      4.800000      9.000000      13.00000          14.192609
## 170  815.4185      7.000000     12.600000      17.64404          12.303474
## 171  874.2877      4.800000     10.200000      14.20000          14.893645
## 172  695.4107      7.200000     14.000000      19.80000           8.709457
## 173  754.0473      5.200000     10.600000      16.40000          10.490768
## 174  915.6598      6.000000     11.200000      16.20000          10.294368
## 177  754.0473      5.200000     10.600000      16.40000          10.490768
## 178  859.7544      6.000000     11.200000      16.20000          10.294368
## 179  874.2877      4.800000     10.200000      14.20000          14.893645
## 180  695.4107      7.200000     14.000000      19.80000           8.709457
## 182  815.4185      7.000000     12.600000      17.64404          12.303474
## 184  775.0603      8.600000     14.200000      21.89143          10.737194
## 185  974.3298      7.048053     13.648053      23.68463           8.646070
## 187  931.1066      5.800000     11.200000      15.40000          13.934264
## 188  972.8078      7.200000     13.400000      19.20000           8.668051
## 190  695.7646     10.851938     18.366659      25.98033           7.372238
## 191  695.7646      7.200000     14.000000      19.80000           8.709457
## 192  968.7904      5.200000     10.600000      16.40000          10.490768
## 193  931.1066      4.800000     10.200000      14.20000          14.893645
## 195  775.0603      7.000000     12.600000      17.64404          12.303474
## 197  746.2424      4.600000      9.400000      14.80000          12.630749
## 198  556.7373      5.600000     14.038571      23.83857           8.673682
## 199  645.0145      9.563564     13.763564      17.56356          16.415983
## 200  823.2428      5.221588      9.221588      13.62159          14.837528
## 201  648.0697     12.237516     16.037516      20.03752          13.194847
## 202  537.2305      6.200000     10.800000      15.00000          12.918601
## 203  769.8181      4.000000      8.600000      15.40000           9.669812
## 204  648.0697     12.958085     17.158085      20.75808          13.285022
## 205  645.0145      4.600000      8.400000      12.20000          16.900667
## 206  746.2424      6.920703     11.720703      16.92070          12.601303
## 207  823.2428      5.180042      9.580042      14.18004          14.751594
## 208  537.2305      6.000000     10.400000      14.20000          13.066813
## 209  769.8181      4.600000     10.600000      19.00000           9.086923
## 210  556.7373      5.600000     15.640090      25.24009           8.625999
## 212  728.9871      7.800000     14.400000      20.40000           8.600238
## 213  909.7660      6.000000     11.200000      16.40000          10.290293
## 214  953.2711      6.252564     11.452564      17.25256          10.481095
## 215  968.7636      4.600000     10.200000      14.20000          14.839348
## 217  728.9871      7.400000     14.000000      20.00000           8.693330
## 219  909.7660      6.000000     11.200000      16.20000          10.297382
## 220  968.7636      4.600000     10.200000      14.20000          14.866495
## 222  953.2711      6.250426     11.450426      17.25043          10.470583
## 223  645.0145      4.600000      8.400000      12.20000          16.900667
## 224  702.9084      6.920703     11.720703      16.92070          12.601303
## 225  472.6104      5.600000     15.640090      25.24009           8.625999
## 226  772.1408      6.000000     10.400000      14.20000          13.066813
## 227  809.6446      5.180042      9.580042      14.18004          14.751594
## 228  637.3027     12.958085     17.158085      20.75808          13.285022
## 229  777.4304      4.600000     10.600000      19.00000           9.086923
## 230  637.3027      4.800000      9.200000      13.80000          12.458893
## 231  772.1408      5.400000      9.800000      14.40000          11.830968
## 232  767.9847      5.000000      9.400000      14.20000          14.989947
## 233  702.9084      7.600000     13.000000      18.40000           9.890593
## 234  777.4304      8.200000     18.000000      30.15220           6.289868
## 235  472.6104     15.000000     23.600000      34.49944           6.212380
## 236  909.7660      5.600000     11.000000      16.00000          10.252014
## 237  901.9375      5.400000     10.600000      16.60000          10.454410
## 238  985.3725      4.800000     10.400000      14.40000          14.758728
## 242  985.3725      4.800000     10.400000      14.40000          14.758728
## 243  901.9375      5.400000     10.600000      16.60000          10.454410
## 244  738.5519      7.600000     14.200000      19.80000           8.588762
## 246  909.7660      5.600000     11.000000      16.00000          10.252014
## 247  897.1907      5.200000     10.000000      14.80000          14.407438
## 248  966.3355      5.200000     10.600000      16.20000          10.872554
## 249  829.5859      5.400000     11.600000      17.00000          12.359221
## 250  759.8979      8.200000     14.796156      20.99616           8.848230
## 252  966.3355      5.200000     10.800000      16.20000          10.818999
## 253  829.5859      5.800000     12.400000      17.40000          12.201141
## 254  897.1907      5.223322     10.223322      14.82332          14.242870
## 255  759.8979      8.525463     14.925463      21.12546           8.765808
## 257  920.0711      6.600000     14.114400      27.63060           8.627670
## 258  993.4368      5.800000     10.800000      16.02888          13.785597
## 262  920.0711      5.800000     13.073301      24.41095           8.879663
## 263  993.4368      6.102365     11.702365      15.70237          13.597719
## 266  738.5519     10.642573     18.115358      25.86485           7.457043
## 267  766.0148      5.000000      9.400000      14.20000          12.144811
## 268  833.9031      5.800000     10.400000      15.40000          11.501975
## 269  805.5798      5.200000     10.600000      15.80000          13.412065
## 270  806.9520      7.200000     16.600000      25.40000           6.915181
## 271  744.3831      5.000000      9.000000      13.80000          15.290212
## 272  679.5973      7.000000     12.600000      17.80000          10.663937
## 273  481.8756     14.800000     24.000000      31.85406           6.217189
## 274    0.0000      5.000000      9.400000      14.20000          12.144811
## 275  766.0148      5.000000      9.400000      14.20000          12.144811
## 276  833.9031      5.800000     10.400000      15.40000          11.501975
## 277  679.5973      7.000000     12.600000      17.80000          10.663937
## 278  481.8756     14.800000     24.000000      31.85406           6.217189
## 279  806.9520      7.200000     16.600000      25.40000           6.915181
## 280  710.7102      7.600000     13.400000      19.60000           9.067108
## 281  777.7295      7.255406     13.455406      18.05541          12.318379
## 282  979.1607      5.000000     10.000000      14.60000          14.774971
## 284  919.6910      5.800000     11.000000      16.00000          10.407223
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