...in-python source of US States file source of MI file Reproject states file to 4326 and save as shapefile ogr2ogr -t_srs EPSG:4326 Reproject states file to 4326 and save as a json ogr2ogr -t_srs EPSG:4326 ogr2ogr -t_srs EPSG:4326 from osgeo import ogr states = ('d/Geospatial/APIWork/states/') MI_boundry = ('d/Geospatial/APIWork/MI_Lidar_3m/') ` intersection = MI_boundary
I have a shape file from Palm Beach County, Florida that needs to be imported in SQL. I have a laptop and get the following error using ogr2ogr. Show me how to import using a remote tool like teamviewer on my laptop. >ogr2ogr -overwrite -f MSSQLSpatial -skipfailures "MSSQL:server=LAP10MSSQLSERVER01;database=ScrapLocal;trusted_connection=yes" "C:ClientsFiremanPalmBeachDelray Beach City BoundaryShapeFile" ERROR 1: INSERT command for new feature failed. [22003][Microsoft][ODBC SQL Server Driver][SQL Server]Arithmetic overflow error converting numeric to data type numeric.(8115), [01000][Microsoft][ODBC SQL Server Driver][SQL Server]The statement has been terminated.(3621) ERROR 1: MSSQL extents query returned a NULL value Warning 1: Failed to get ...
We need to convert SQL Server tables to Shape Files. We want this to be a repeatable process. Please only reply if you have experience in this field. It looks like we can use OGR2OGR. The steps are here,
The task is to write a Python script that will take a simple KML file and transform it into a GPX file. KML and GPX are both types of XML. You may use libraries if you wish, but the script must be able to run on Google AppEngine, so using GPSBabel or OGR2OGR would be rather hard. I would be happy with a script that works on even a subset of KML files. If you get this far, then I would pay you for additional work to make the script more robust, and to handle more KML inputs. KML can have much more data types than GPX. GPX files basically only have waypoints and routes, while KML can have much more. So, your script will ignore data in the KML in some cases. To help you, we will provide: * a python script that parses KML into objects (but not GPX) * a sample K...
...order of 5-15 hours per week. We want a nearly-turnkey solution for rendering PostGIS layers via Google Earth. This application will be used as a pilot for our investigation of Google Earth as a map-rendering medium. It will be used as a base for further applications, so configurability is paramount. * A PostgreSQL/PostGIS database will be provided, as will FTP access. You can use pgAdmin III, ogr2ogr, etc. to connect to the PostGIS database. * Use a minimum of 10 data layers for this demo. Our goal is to be able to replace the data, so the specifics of which data you choose is not relevant. The National Atlas has many datasets which are suitable, though we would also like to see close-up information such as property parcels. * Import the data into PostGIS, with indexes on the sp...
