Edzer Pebesma kirjoitti 26.10.2017 klo 10:26:
More in general, we have multidimensional arrays where horizontal space is not an x y image (GDAL raster band) but for instance a sequence of feature geometries (e.g., in situ sensor data, or demographic data by administrative region, time, and age class). We may want to keep those use cases in mind when working on this from the GDAL perspective, since pretty soon you will want to cut out a point or region, or aggregate grid values over a polygon area while keeping all other dimensions.
With vector data the case is different, yes. You may have 'a thing' (say, a province), whose spatial representation changes significantly in time along with its characteristics (say, population). Or you may have a moving sensor.
But with raster data, I'd stick very strongly to the notion that the spatial representation is immutable. The only thing that may be important(? I may disregard something here) is that when you do reprojections, then the area that the cell represents changes. Is this too strong statement?
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