![]() ![]() ![]() Levelfile <- paste("TableExtract.txt", sep = "\\")Īsp <- import.asc(file1, lev = levelfile, ) R proj4string(r) #Or import raster as an Ascii files (factor) using "adehabitat" package for file1, file2, and file3 in the 3 sections of code below: # Path of the file to be importedįile1 <- paste("polyextract2.asc", sep = "\\") #Assign projection information for imported text file Proj4string(r)#Note: No projection information was imported with the raster ![]() #Import raster as text using the "raster" package Ascii files can be categorical (Vegetation/Habitat categories) or numeric (DEMs). Here is some code to import Ascii files (i.e., rasters) from ArcMap into R using one of several packages.ArcMap will not save as an ".asc" file and I have no idea why! We need to rename the text file by replacing ".txt" with ".asc" in Windows Explorer. If you have troubles getting a raster to Ascii in ArcMap to actually show up as an Ascii file there is good reason. txt files as in the first few exercises below. I include these exercises only for those that may perhaps only have alternate rasters available (e.g., ASCII). #Note: Most of the exercises that follow are exploratory in nature and not the recommended way to bring raster data into R. All of the raster layers we are going to use will be located here Create an Ascii file from your raster grid in ArcMap 10.X if experimenting with your own raster using the following Toolbox in ArcMap 10.X:ĪrcToolbox - Conversion Tools - From Raster - Raster to AsciiĪlternatively, you can set your working directory by opening a previously saved workspace by double clicking it in that folder which will also serve to set that folder as the working directory. Now open the script "RasterScript.R" in that folder and run code directly from the script. Install.packages(c("adehabitat","adehabitatHR","maptools","raster", "rgdal")) First we need to load packages to work with raster datasets.Set working directory to the extracted folder in R under File - Change dir.Exercise 1.7 - Download and extract zip folder into your preferred location. ![]()
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