![]() ![]() The cell size required to fill the defined spatial extent with the The spatial resolution is 10-by-10 meters, which is Simply calling the spatRaster using its name, information about the The spatial reference information is defined using a European Petroleum Survey Group, or EPSG, code. The number of rows, columns, min/max coordinates, and spatial reference In the following code block, I first create a raster grid by defining In short, terra simplifies the reading of raster data by Stack() function can be used to reference multiple files as a Raster() function is used to read in single band data while theīrick() function is used to read in multiband data. Package, in which several functions are used. Included, are created or read in as spatRaster objects Using terra, all raster grids, regardless of the number of bands Library(terra) library(tmap) library(tmaptools) library(sf) library(dplyr) library(randomForest) library(ggplot2) library(RColorBrewer) library(RStoolbox) library(yardstick) Markdown file used to generate this module. The link at the bottom of the page provides the example data and R Raster data cubes, and vector data cubes. Stars package offers additional functionality toĮfficiently work with spatial data including spatiotemporal arrays, SpatExtent: for spatial extent information derivedįrom a SpatRaster or SpatVector or manually definedĪlthough we will not explore it directly here, the.Polygon features and their associated attributes SpatVector: represent vector-based point, line, or.In comparison to the raster package data models SpatRaster: for raster data and limits memory usage. ![]() The terra package introduces the following new classes: Here are some helpful links for learning terra: It also supports working with largerĭata sets as it is not required to read entire raster grids into terra works toĪlleviate some of these issues. Memory issues if large raster datasets are used. The raster package can be slow and can result in Originators of raster have released the terra package The raster package has been a central toolįor working with geospatial data in R for years. Which is replacing the raster package for working with In this module, we will focus on the terra package, ![]()
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