Can you use SSDM with occurrence and background points with pre extracted covariates information instead of providing raster layers for environmental variables? I am using training points for three species across different years (>5) and I have covariates values for each year, so I already matched each occurrence and background points with their corresponding year.
Then I want to run the models and project them to a specific year. Is it possible to this providing all the information in a csv file?
Thanks.
Can you use SSDM with occurrence and background points with pre extracted covariates information instead of providing raster layers for environmental variables? I am using training points for three species across different years (>5) and I have covariates values for each year, so I already matched each occurrence and background points with their corresponding year.
Then I want to run the models and project them to a specific year. Is it possible to this providing all the information in a csv file?
Thanks.