R/vegetation.R

#' Data: Vegetation shapefile for Big Cypress National Preserve and Everglades National Park
#'
#' @description A shapefile of vegetation data
#'
#' @format A shapefile of vegetation in Big Cypress National Preserve and Everglades National Park
#' \describe{
#' \item{NAME_SITE}{tbd}
#' \item{NAME_STATE}{tbd}
#' \item{Veg_Cat}{vegetation types (e.g., Coastal Forest, Brazilian Pepper/HID, Shrub etc.)}
#' \item{Notes}{tbd}
#' \item{Shape_Leng}{tbd}
#' \item{Shape_Area}{tbd}
#' \item{geometry}{tbd}
#' \item{FuelType}{Ranges between 1 and 5, where 1 represents low fire and 5 represents high fire risk}
#'}
#' @docType data
#' @keywords vegetation, fuel
#' @name vegetation
#' @usage vegetation
#' @examples 
#' 
#' \dontrun{
#' summary(vegetation)
#' 
#' plyr::ddply(vegetation, ("Veg_Cat"), plyr::summarise, type = head(FuelType, 1))
#' 
#' ### code used to generate object using shapefile provided by NCSU
#' vegetation          <- sf::st_read("CLC_Veg_exotic_Final_Updated_EDEN_py.shp")
#' vegetation$FuelType <- dplyr::revalue(vegetation$Veg_Cat, c("NA"=1,
#' "Coastal Forest"=2,
#' "Brazilian Pepper/HID" = 2,
#' "Shrub"=2,
#' "Hammock/Tree Island"=3,
#' "Short Sparse Grass"=3,
#' "Pine Savannah"=4,
#' "Short Continuous Grass"=4,
#' "Pine Forest"=5,
#'   "Tall Continuous Grass"=5)) 
#' vegetation_reclass <- vegetation[, c("Veg_Cat", "FuelType")]
#' sf::st_write(vegetation_reclass, "analysis/outcomes/vegReclass.shp", delete_layer = TRUE)
#' vegetation <- sf::st_transform(vegetation, sf::st_crs(fireHydro::edenDEM)) 
#' save(vegetation, file = "data/vegetation.RData")
#'}
#' 
"vegetation"
troyhill/fireHydro documentation built on Feb. 2, 2023, 12:09 p.m.