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Feret Jean-Baptiste
biodivMapR
Commits
4243b973
Commit
4243b973
authored
Jul 16, 2019
by
jbferet
Browse files
regenerated documentation
parent
4072c872
Changes
7
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NAMESPACE
View file @
4243b973
# Generated by roxygen2: do not edit by hand
S3method(split,line)
export(map_spectral_species)
export(perform_PCA)
export(perform_radiometric_filtering)
export(select_PCA_components)
export(check_data)
export(diversity_from_plots)
export(list.shp)
export(map_alpha_div)
export(map_beta_div)
export(map_spectral_species)
export(perform_PCA)
export(perform_radiometric_filtering)
export(projection.file)
export(raster2BIL)
export(select_PCA_components)
import(raster)
import(tools)
importFrom(dissUtils,diss)
...
...
man/map_alpha_div.Rd
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4243b973
...
...
@@ -4,7 +4,7 @@
\alias{map_alpha_div}
\title{maps alpha diversity indicators based on prior selection of PCs}
\usage{
map_alpha_div(Input.Image.File, Output.Dir,
Spatial.Unit
,
map_alpha_div(Input.Image.File, Output.Dir,
window_size
,
TypePCA = "SPCA", nbclusters = 50, MinSun = 0.25, pcelim = 0.02,
Index.Alpha = "Shannon", FullRes = TRUE, LowRes = FALSE,
MapSTD = FALSE, nbCPU = FALSE, MaxRAM = FALSE)
...
...
@@ -14,7 +14,7 @@ map_alpha_div(Input.Image.File, Output.Dir, Spatial.Unit,
\item{Output.Dir}{character. Output directory.}
\item{
Spatial.Unit
}{numeric. Size of spatial units (in pixels) to compute diversity.}
\item{
window_size
}{numeric. Size of spatial units (in pixels) to compute diversity.}
\item{TypePCA}{character. Type of PCA (PCA, SPCA, NLPCA...).}
...
...
man/map_beta_div.Rd
View file @
4243b973
...
...
@@ -4,17 +4,17 @@
\alias{map_beta_div}
\title{maps beta diversity indicator based on spectral species distribution}
\usage{
map_beta_div(Input.Image.File, Output.Dir,
Spatial.Unit
,
TypePCA = "SPCA",
nbclusters = 50, Nb.Units.Ordin = 2000,
MinSun = 0.25,
pcelim = 0.02, scaling = "PCO", FullRes = TRUE,
LowRes = FALSE,
nbCPU = 1, MaxRAM = 0.25)
map_beta_div(Input.Image.File, Output.Dir,
window_size, TypePCA = "SPCA"
,
nbclusters = 50, Nb.Units.Ordin = 2000,
MinSun = 0.25,
pcelim = 0.02, scaling = "PCO", FullRes = TRUE,
LowRes = FALSE,
nbCPU = 1, MaxRAM = 0.25)
}
\arguments{
\item{Input.Image.File}{character. Path and name of the image to be processed.}
\item{Output.Dir}{character. Output directory.}
\item{
Spatial.Unit
}{numeric. Dimensions of the spatial unit.}
\item{
window_size
}{numeric. Dimensions of the spatial unit.}
\item{TypePCA}{character. Type of PCA (PCA, SPCA, NLPCA...).}
...
...
man/
M
ap
.S
pectral
.S
pecies.Rd
→
man/
m
ap
_s
pectral
_s
pecies.Rd
View file @
4243b973
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Lib_MapSpectralSpecies.R
\name{
M
ap
.S
pectral
.S
pecies}
\alias{
M
ap
.S
pectral
.S
pecies}
\name{
m
ap
_s
pectral
_s
pecies}
\alias{
m
ap
_s
pectral
_s
pecies}
\title{maps spectral species based on PCA file computed previously}
\usage{
M
ap
.S
pectral
.S
pecies(Input.Image.File, Output.Dir, PCA.Files,
m
ap
_s
pectral
_s
pecies(Input.Image.File, Output.Dir, PCA.Files,
TypePCA = "SPCA", nbclusters = 50, nbCPU = 1, MaxRAM = FALSE)
}
\arguments{
...
...
man/
P
erform
.
PCA.
Image.
Rd
→
man/
p
erform
_
PCA.Rd
View file @
4243b973
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Lib_PerformPCA.R
\name{
P
erform
.
PCA
.Image
}
\alias{
P
erform
.
PCA
.Image
}
\name{
p
erform
_
PCA}
\alias{
p
erform
_
PCA}
\title{Performs PCA for all images and create PCA file with either all or a selection of PCs}
\usage{
P
erform
.
PCA
.Image
(ImPath, ImPathShade, Output.Dir,
Continuum.Removal = TRUE,
TypePCA = "SPCA", FilterPCA = FALSE,
Excluded.WL = FALSE,
NbIter = 20, nbCPU = 1, MaxRAM = 0.25)
p
erform
_
PCA(ImPath, ImPathShade, Output.Dir,
Continuum.Removal = TRUE,
TypePCA = "SPCA", FilterPCA = FALSE,
Excluded.WL = FALSE,
NbIter = 20, nbCPU = 1, MaxRAM = 0.25)
}
\arguments{
\item{Output.Dir}{output directory}
...
...
man/
P
erform
.R
adiometric
.F
iltering.Rd
→
man/
p
erform
_r
adiometric
_f
iltering.Rd
View file @
4243b973
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Lib_FilterData.R
\name{
P
erform
.R
adiometric
.F
iltering}
\alias{
P
erform
.R
adiometric
.F
iltering}
\name{
p
erform
_r
adiometric
_f
iltering}
\alias{
p
erform
_r
adiometric
_f
iltering}
\title{Performs radiometric filtering based on three criteria: NDVI, NIR reflectance, Blue reflectance}
\usage{
P
erform
.R
adiometric
.F
iltering(Image.Path, Mask.Path, Output.Dir,
p
erform
_r
adiometric
_f
iltering(Image.Path, Mask.Path, Output.Dir,
TypePCA = "SPCA", NDVI.Thresh = 0.5, Blue.Thresh = 500,
NIR.Thresh = 1500, Blue = 480, Red = 700, NIR = 835)
}
...
...
man/
S
elect
.C
omponents.Rd
→
man/
s
elect
_PCA_c
omponents.Rd
View file @
4243b973
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Lib_PerformPCA.R
\name{
S
elect
.C
omponents}
\alias{
S
elect
.C
omponents}
\name{
s
elect
_PCA_c
omponents}
\alias{
s
elect
_PCA_c
omponents}
\title{Check if principal components are properly selected as expected by the method}
\usage{
S
elect
.C
omponents(Input.Image.File, Output.Dir, PCA.Files,
s
elect
_PCA_c
omponents(Input.Image.File, Output.Dir, PCA.Files,
TypePCA = "SPCA", File.Open = FALSE)
}
\arguments{
...
...
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