sdmApp_fold_Explorer: Explore the generated folds and visualize the placement of...

In sdmApp: A User-Friendly Application for Species Distribution Modeling

Description

Explore the generated folds and visualize the placement of folds and distribution of species data over folds.

Usage

sdmApp_fold_Explorer(blocks, rasterLayer, speciesData, num)

Arguments

blocks	A SpatialBlock object.
rasterLayer	A raster object as background map for visualization.
speciesData	A simple features (sf) or SpatialPoints object containing species data (response variable).
num	A number of fold to assign as data test set.

Value

A map showing folds and the species data, that can be used to explore folds.

Examples

## Not run: 
# load blockCV package data
library(blockCV)
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)
sdmApp_fold_Explorer(sb,awt,pa_data,1)

## End(Not run)

sdmApp documentation built on July 7, 2021, 9:06 a.m.