A notebook on the usage of shape2geosparql with a few examples.
You need three libraries in order to use this notebook:
- Python 3 (download page here here);
- GDAL (installation instructions here);
- Fuseki GeoSPARQL server (latest downloadable JAR here).
Once you have Python 3 and GDAL installed, run the following:
$ git clone https://github.com/nvitucci/notebook_shape2geosparql
$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -r requirements.txtIf the GDAL bindings cannot be installed, try running $ pip install gdal==<VERSION> where VERSION is the version of GDAL you installed on your system.
When all the packages are installed, run jupyter notebook and navigate to the notebook file. In a separate shell, run the Fuseki GeoSPARQL server as follows:
$ java -jar jena-fuseki-geosparql-3.14.0.jar -uThe data have been downloaded from the Open Data Trentino portal:
- http://webapps.comune.trento.it/cartografia/gis/dbexport?db=base&sc=mobilita&ly=stazioni&fr=shp
- http://webapps.comune.trento.it/cartografia/gis/dbexport?db=base&sc=mobilita&ly=zone_parcheggio&fr=shp
The shapefiles have been included in this repository for convenience.