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Convert polygons to integer raster, same cell size and extent as value raster, snap raster=v.raster. Use rastertonumyarray on both. Create dictionary. Go through both arrays using integer as key of dictionary and updating list of values from main raster. When done go through dictionary, pick associated list, sort, etc. I've done similar thing on 5000×6000 ...


I do not know why you get an error but compare your results with mine. Download first this file https://hub.qgis.org/attachments/8536/Trecks.gdb.zip Unzip (it will create a directory) and run ogrinfo ogrinfo Trecks.gdb Had to open data source read-only. INFO: Open of `trecks.gdb' using driver `OpenFileGDB' successful. 1: Venedigertreck_3D (3D Multi ...


Try opening it in qgis and see if you can access the objects as described. You choose vector>Directory>click on souce type and choose OpenfileGDB or alternatively try to convert it to other formats using ogr. If it fails then upgrade gdal. If qgis can open this then you might be having two versions of gdal


Use these commands: sudo apt-get install python-gdal sudo apt-get install gdal-bin


A python solution is fairly simple using ogr.GetDriverByName(in_format).Open(in_file). import sys from osgeo import ogr def main(in_file, in_format, out_file, out_format): in_ds = ogr.GetDriverByName(in_format).Open(in_file) out_ds = ogr.GetDriverByName(out_format).CopyDataSource(in_ds, out_file) if __name__ == '__main__': main(*sys.argv[1:]) ...


Since OGR version 1.10.0 the sqlite SQL dialect has been able to be applied to any spatial datset. Which is great, as it means that you can apply it to your GeoJSON files. Looking at the OGR GeoJSON documentation you can see that the layer name for a GeoJSON file is OGRGeoJSON which means that the SQL that selects from the GeoJSON file will translate from ...

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