How do I extract columns in R?
To select a column in R you can use brackets e.g., YourDataFrame[‘Column’] will take the column named “Column”. Furthermore, we can also use dplyr and the select() function to get columns by name or index. For instance, select(YourDataFrame, c(‘A’, ‘B’) will take the columns named “A” and “B” from the dataframe.
What is a stack in R?
The stack function is used to transform data available as separate columns in a data frame or list into a single column that can be used in an analysis of variance model or other linear model. The unstack function reverses this operation.
How does the extract function in R-geographic work?
The raster::extract function, when applied to polygons or with the buffer argument, returns a list object where each element in the list contains a vector of the raster values intersecting the polygon. If the input raster object was a stack or brick, containing multiple rasters, the list elements are a matrix rather than a vector.
How to extract raster values into Polygon attributes?
First, read_stars () can read the geotiff raster file into a stars object and st_read () to load the shapefile. Country boundaries can be loaded from rnaturalearth. All the polygons were projected into Mollweide +proj to match the raster. We only need raster data for our study region, so we can crop it using st_crop ().
How to extract pixel values from a raster?
I have a shapefile (called “shp”) containing 177 polygons i.e. 177 counties. This shapefile is overlaid on a raster. My raster (called “ras”) is made of pixels having different pollution values. Now I would like to extract all pixel values and their number of occurrences for each polygon.
How to use spatial raster and vector data in R?
This is an update to a previous Spanish-language post for working with spatial raster and vector data in R, prompted by recent developments such as the stars package, its integration with sf and raster, and a particularly useful wrapper in geobgu.