Hi,
We are trying to convert shape files provided by Landgate and have found that a large number of entries are missing from the converted file. Can't seem to find anything common between the missing entries.
In the dbf file polygon_nu in unique but when searching for the numbers from that file in the output file we can find only about half of them. Missing entries and included entries seem to be almost exactly the same. Missing entries are at random throughout the dbf file so it's not reading part way then stopping. No errors reported by the converter.
Would appreciate any ideas on how to track down the issues
Found the issue. buffer_distance was causing a lot of entries to be missed. Changing this value to 0 and everything is now included but end file size is huge.
Hi, We are trying to convert shape files provided by Landgate and have found that a large number of entries are missing from the converted file. Can't seem to find anything common between the missing entries.
The input_file.json is [{"name": "read_data", "file_name": "/tmp/tmp-29310yOFosO3W0Pvp.1/Cadastre .shp"}, { "name": "write_data", "format": "jvectormap", "file_name":"/tmp/tmp-29310MFms0TQWd48e.tmp.1", "params": {"code_field": "polygon_nu", "name_field": "polygon_nu", "name": "au-wa-xxx"}}]
In the dbf file polygon_nu in unique but when searching for the numbers from that file in the output file we can find only about half of them. Missing entries and included entries seem to be almost exactly the same. Missing entries are at random throughout the dbf file so it's not reading part way then stopping. No errors reported by the converter. Would appreciate any ideas on how to track down the issues