I have two (NPP_BEGA and ENACT_BEGA) stacked raster dataset. They have the same spatial resolution, extent and dimension. I want to run and map the correlation(
I would like to change the resolution of a raster. For example, let’s take this Landsat 7 images at ~ 30m resolution. library(terra) #> terra 1.5.21 f
I downloaded worldclimate data and changed it into raster data. There are names like wc2.1_5m_bio_1 until 19, and I want to rename these variables to bio_1 (sta
I just noticed that terra::cellSize() produces cell area estimates that do not match those produced by raster::area(). First, why do these two methods not provi
I have a data frame with one column of values. How do I make this into a raster image with the following parameters? I would also like to save it as a .tif rast
I have seen similar posts on this topic (see, for example, here and here) but not one that is specific to the sf-tidyverse ecosystem. I have a series of lakes,
I have a script where I read a raster stored as .tif : f_treecover <- raster('Landcover_data/treecover_res_100_q.tif') The script used to run fine