Explore the generated folds
A function for visualising the generated folds on a map, and allowing interactive exploration of the data in the folds, using the RStudio Shiny app.
foldExplorer(blocks, rasterLayer, speciesData)
blocks |
An SpatialBlock, EnvironmentalBlock or BufferedBlock object. |
rasterLayer |
A raster object as background map for visualisation. |
speciesData |
A simple features (sf) or SpatialPoints object containing species data (response variable). |
An interactive map showing folds and the species data, that can be used to explore folds. Note that this can also be opened in a web browser window. When you return to the R console, press "Esc" to return to the prompt.
if(interactive()){
# load package data
awt <- raster::brick(system.file("extdata", "awt.grd", package = "blockCV"))
# import presence-absence species data
PA <- read.csv(system.file("extdata", "PA.csv", package = "blockCV"))
# make a sf object from data.frame
pa_data <- sf::st_as_sf(PA, coords = c("x", "y"), crs = raster::crs(awt))
# spatial blocking by specified range and random assignment
sb <- spatialBlock(speciesData = pa_data,
species = "Species",
rasterLayer = awt,
theRange = 70000,
k = 5,
selection = "random",
iteration = 100)
foldExplorer(sb, awt, pa_data)
# buffering with presence-absence data
bf <- buffering(speciesData= pa_data,
species= "Species", # to count the number of presences and absences
theRange= 70000,
spDataType = "PA",
progress = TRUE)
foldExplorer(bf, awt, pa_data)
# environmental clustering
eb <- envBlock(rasterLayer = awt,
speciesData = pa_data,
species = "Species",
k = 5)
foldExplorer(eb, awt, pa_data)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.