Welcome to geolayer documentation!
geolayerBDAP is a Python library for the display of raster and vector datasets on the European Commission - Joint Research Centre BDAP (Big Data Analytics Platform).
It can be used in the JEO-lab environment (JupyterLab instance) to create notebooks able to display big geo-spatial datasets, or in the creation of Voilà dashboards using the vois library.
The documentation on the vois library is availble here: vois library on readthedocs
Check out the Usage section for further information
Note
This project is under active development.
Contents
- Usage
- API
- rasterlayer
rasterlayerrasterlayer.single()rasterlayer.rgb()rasterlayer.hillshade()rasterlayer.hillshadeColors()rasterlayer.sentinel2single()rasterlayer.sentinel2rgb()rasterlayer.sentinel2index()rasterlayer.sentinel2item()rasterlayer.info()rasterlayer.print()rasterlayer.symbolizer()rasterlayer.colorizer()rasterlayer.color()rasterlayer.colorlist()rasterlayer.colormap()rasterlayer.identify()rasterlayer.identify_dictrasterlayer.identify_integerrasterlayer.identify_digitsrasterlayer.identify_labelrasterlayer.tileLayer()
- vectorlayer
vectorlayervectorlayer.file()vectorlayer.wkt()vectorlayer.postgis()vectorlayer.layers()vectorlayer.layer()vectorlayer.fields()vectorlayer.field()vectorlayer.values()vectorlayer.distinct()vectorlayer.stats()vectorlayer.symbologyClear()vectorlayer.symbologyAdd()vectorlayer.legendSingle()vectorlayer.legendCategories()vectorlayer.legendGraduated()vectorlayer.legend2Image()vectorlayer.legend2List()vectorlayer.symbolChange()vectorlayer.print()vectorlayer.identify()vectorlayer.identify_fieldsvectorlayer.identify_widthvectorlayer.tileLayer()
symbol2Image()
- rasterlayer
- Indices and tables