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data.R 8.02 KiB
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#' Color and label for CLC
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#'
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#' A dataset proposing default colors and labels for plotting CLC
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#'
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#' @format data.frame 5 rows, 3 variables
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"clc_color"
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#' Catchment areas of interest within the so-ii perimeter
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#'
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#' A dataset containing the official catchments areas of interest from the BD
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#' TOPAGE within the so-ii perimeter. For degre = 3, the data are basically
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#' what is found in BD TOPAGE. For degres 1 and 2, the data result from
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#' sf::st_union of data of degre 3 to give a more synthetic representation.
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#'
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#' @format sf data.frame 15 rows, 4 variables
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#' \describe{
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#'   \item{id}{id, from BD TOPAGE (corresponding to CdOh) or NA when catchment
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#'      is constructed by so-ii team.}
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#'   \item{name}{character, name of the catchment area in BD TOPAGE, or given
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#'      name for catchments constructed by so-ii team.}
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#'   \item{degre}{factor, importance of the catchment used to plot the
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#'      catchment areas with different levels of detail ("1", "2", "3").}
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#' }
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#'
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#' @source \url{http://bdtopage.eaufrance.fr/page/objectifs}
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"so_ii_catchment"
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#' Number of Cat Nat events for the municipalities of so-ii
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#'
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#' A dataset containing the number of Cat Nat events (linked to flood) by year
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#' and so-ii municipality according to the GASPAR database.
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#'
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#' Last update: 2023-10-17
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#'
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#' @format array with 3 dimensions
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#' \describe{
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#'   \item{first}{commune as in so_ii_scope}
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#'   \item{second}{year of Cat Nat events}
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#'   \item{third}{type of hazard}
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#' }
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#'
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#' @source \url{https://www.georisques.gouv.fr/donnees/bases-de-donnees/base-gaspar} # nolint
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"so_ii_catnat"
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#' CLC information for so-ii
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#'
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#' A dataset containing the Corine Land Cover information on so-ii.
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#'
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#' @format sf data.frame 1337 rows, 2 variables
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#' \describe{
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#'   \item{clc_2018}{character, classification from CLC 2018}
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#'   \item{color}{character, default color to be used to plot so_ii_clc}
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#' }
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"so_ii_clc"
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#' CLC information for a crop zone around so-ii
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#'
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#' A dataset containing the Corine Land Cover information on so-ii. A row is
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#' added to CLC to plot also the sea. It has code "000".
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#'
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#' @format sf data.frame 1337 rows, 2 variables
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#' \describe{
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#'   \item{clc_2018}{character, classification from CLC 2018}
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#'   \item{color}{character, default color to be used to plot so_ii_clc}
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#' }
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"so_ii_clc_crop"
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#' Spatial definition of collectivities included in so-ii
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#'
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#' A dataset containing the spatial definition of all collectivities
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#' included in so-ii and some administrative informations. #' #' @details #' Basically this dataset is obtained as a selection from the layer #' COMMUNE in ADMIN EXPRESS, more a renaming of variables. It is then added #' information from EPCI in ADMIN EXPRESS and the membership to SYBLE and #' SYMBO. #' #' @format sf data.frame 78 rows, 11 variables #' \describe{ #' \item{commune_name}{character, INSEE code of the collectivity} #' \item{syble}{logical, membership in SYBLE} #' \item{symbo}{logical, membership in SYMBO} #' \item{commune_name}{character, official name of the collectivity} #' \item{commune_name_cap}{character, official capitalized name of the #' collectivity} #' \item{departement}{character, INSEE code of the departement of the #' collectivity} #' \item{region}{character, INSEE code of the region of the #' collectivity} #' \item{epci}{character, INSEE code of the EPCI of the collectivity} #' \item{epci_name}{character, Name of the EPCI of the collectivity} #' \item{epci_nature}{character, Nature of the EPCI of the collectivity} #' } #' #' @source \url{https://www.data.gouv.fr/fr/datasets/admin-express/} "so_ii_collectivity" #' Hydrographic network within the so-ii perimeter #' #' A dataset containing the official hydrographic network from the BD TOPAGE #' within the so-ii perimeter. #' #' @format sf data.frame 125 rows, 4 variables #' \describe{ #' \item{id}{id, from BD TOPAGE (corresponding to CdOh)} #' \item{name}{character, name of the hydrographic elements in the BD TOPAGE} #' \item{degre}{factor, level of importance of the hydrographic element #' used to plot the hydrographic network with different levels of #' detail ("1", "2", "3").} #' \item{type}{factor, type of hydrographic element ("canal", "river", #' "waterbody")} #' } #' #' @source \url{http://bdtopage.eaufrance.fr/page/objectifs} "so_ii_hydro" #' Inset to help localisation of the so-ii perimeter #' #' A sf dataset containing 4 simplified geometries of France, Occitanie, #' Hérault, and so-ii perimeter. rownames are provided with "nation", "region", #' "department", "so.ii". #' #' @format sf data.frame 4 rows, 1 variable #' \describe{ #' \item{scope}{character, names of the scope} #' } #' #' @source \url{http://bdtopage.eaufrance.fr/page/objectifs} "so_ii_inset" #' Spatial perimeter of so-ii #' #' A dataset containing the perimeter of so-ii. #' #' Basically, this dataset is obtained as #' \code{sf::st_union(so_ii_commune)} #' #' @format sfc_POLYGON of length 1 "so_ii_limit"
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#' Spatial definition of districts of Montpellier city #' #' A dataset containing the spatial definition of all districts #' for Montpellier. #' #' @format sf data.frame 31 rows, 2 variables #' \describe{ #' \item{district}{character, id of each district as given by montpellier3m} #' \item{district_name}{character, name of each district} #' \item{district_group}{character, how districts are grouped by montpellier3m} #' } #' #' @source \url{https://data.montpellier3m.fr/dataset/sous-quartiers-de-montpellier} "so_ii_montpellier" #' Local collectivities included in so-ii #' #' A dataset containing the INSEE code of all local collectivities #' (communes) included in so-ii #' #' @format a vector of 78 INSEE code "so_ii_scope" #' ONRN information for so-ii #' #' A dataset containing part of the information available at the ONRN for so-ii #' communities. The information chosen is exclusively related to floods. It is #' mainly related to impacts and therefore to the claims in from the Cat-Nat #' system. These data on claims are taken from the CCR, the others from the #' gaspar database. #' #' @format data.frame 78 rows, 23 variables #' \describe{ #' \item{n_catnat}{Number of Cat Nat events} #' \item{freq_sin}{Number of claims divided by number of contracts #' for 1995 to 2018. freq_sin is calculated as the mean of freq_sin_min #' and freq_sin_max (range for each category).} #' \item{cost}{Cumulative cost of claims for 1995 to 2018. Cost is calculated #' as the mean of cost_min and cost_max (range for each category).} #' \item{cost_mean}{Mean cost of claims (cost divided by claims) for 1995 to #' 2018. cost_mean is calculated as the mean of cost_mean_min and #' cost_mean_max (range for each category).} #' \item{cost_hab}{Cost divided by the population for 1995 to 2018. cost_hab #' is calculated as the mean of cost_hab_min and cost_hab_max (range for #' each category).} #' \item{ratio}{Cost divided by premium for 1995 to 2018. ratio is calculated #' as the mean of cost_hab_min and cost_hab_max (range for each #' category).} #' \item{balance}{Cost minus premium for 1995 to 2018. This is an estimation #' made by so-ii team by considering a mean premium for each habitant #' of 24.92829 euro per habitant (total premium in 2018 divided by #' total population)} #' \item{ppri_year}{Year given for the last PPRI.} #' \item{ppri_state}{State of the last PPRI.} #' \item{ppri_state_sub}{Some details on the state of the last PPRI.} #' \item{ppri_state_age}{State of the last PPRI for age information.} #' \item{ppri_age_min}{Lower boundary for the age of the PPRI.} #' \item{ppri_age_min}{Upper boundary for the age of the PPRI..} #' } #' #' @source \url{https://www.georisques.gouv.fr/articles-risques/acceder-aux-indicateurs-sinistralite} "so_ii_onrn" #' Population for so-ii #' #' A dataset containing the population of commune in so-ii according to INSEE. #' #' @format numeric matrix 78 rows, 33 columns #' \describe{
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#' \item{row}{commune as in so_ii_scope} #' \item{column}{year} #' } #' #' @source \url{https://www.insee.fr/fr/statistiques/2522602} "so_ii_population"