Terra rasterize() failing after update to 1.8 with ‘too many values for writing’
Since updating terra to 1.8-5, rasterize() is throwing the following error:
Terra rasterize() failing after update to 1.8 with ‘too many values for writing’
Since updating terra to 1.8-5, rasterize() is throwing the following error:
Terra rasterize() failing after update to 1.8 with ‘too many values for writing’
Since updating terra to 1.8-5, rasterize() is throwing the following error:
How do I check with TRUE/FALSE return if there are NAs in a R SpatRaster?
I’m trying to check for NAs (missing values) in my SpatRaster (is a bioclimatic raster from CHELSA from ex [DOWNLOAD the raster 117MB] https://os.zhdk.cloud.switch.ch/chelsav2/GLOBAL/climatologies/1981-2010/bio/CHELSA_bio10_1981-2010_V.2.1.tif) but I can’t find the function that returns TRUE if there are NAs or FALSE if there is no NA in my raster.
How to calculate the average data across subdatasets in a SpatRasterDataset object in terra
I have a SpatRasterDataset:
Speed up of the workflow: masking + global summing for 50 not-so-small tiles using terra R package
As a newbie of terra I am finding difficult to speed up a very simple task:
How to extend the boundary of polygon until a line?
I have two objects:
How to assemble large data cube for efficient handling with`terra`?
My raster files are organized hierarchically in folders according to simulation, variable and time span. How would an adept terra user assemble and load the data cube for efficient posterior data analysis, i.e. flexible sub-setting across different dimensions?
Terra package rast() Raster Stack
I have a number (21) of raster layers (19 WorldClim climate data, euroDEM digital elevation model [DEM] and Corine LandCover [CLC]) which I am trying to create a raster stack for.
Fastest way to check if a SpatRaster has at least one non-NA value?
I am currently using this: