CreateKDEPoints: Creates kernel density estimate (kde) raster based on spatial...

In Blakemassey/gisr: Functions for Spatial Data Manipulation and Plotting

Description

Creates kernel density estimate (kde) raster based on spatial points Creates a 'kde' object using a df of location points to calculate probability estimates for an input raster's cell centers

Usage

CreateKDERaster(df, df_lat, df_long, blank_raster)

Arguments

df	dataframe of location data
df_long	df col name of longitude values, default is "long_utm"
df_lat	df col name of latitude values, default is "lat_utm"
buffer	value used in CreateExtentBuffer() around df locations, default is 500m
blank_raster	file name or object name of raster file used to create output. This raster is cropped based on the df's extent and kde estimates are based on each cell's center. Default file is: "C:/ArcGIS/Data/BlankRaster/maine_30mc.tif".

Details

Ouput RasterLayer has the same CRS as the blank_raster input

Value

A 'kde' object with a kde estimate for the center point of each blank raster cell that falls within the buffer around the df locations

Blakemassey/gisr documentation built on Aug. 30, 2020, 12:14 a.m.