Would it be possible to include a time dimension in the data matching? A use-case for this would be when there are observations over a long period of time (e.g. long term monitoring data or fossils) where there is the possibility of a species distribution/niche shift where matching up to a single time step doesn't really make sense.
As an example, I've attached a stars object (RDS file within the zip archive) with 3 dimensions (x, y, time), and 3 attributes (temperature, precipitation, elevation), and sampling points (geopackage within the zip archive) that vary through time.
stars_example_3d_w_time.zip
Would it be possible to include a time dimension in the data matching? A use-case for this would be when there are observations over a long period of time (e.g. long term monitoring data or fossils) where there is the possibility of a species distribution/niche shift where matching up to a single time step doesn't really make sense.
As an example, I've attached a stars object (RDS file within the zip archive) with 3 dimensions (x, y, time), and 3 attributes (temperature, precipitation, elevation), and sampling points (geopackage within the zip archive) that vary through time.
stars_example_3d_w_time.zip