ecoscope.analysis.geospatial
============================

.. py:module:: ecoscope.analysis.geospatial




Module Contents
---------------

.. py:function:: datashade_gdf(gdf, geom_type, width = 600, height = 600, cmap = None, ds_agg = None, **kwargs)

   Creates a raster of the given gdf using Datashader

   :param gdf: GeoDataFrame used to create visualization (geometry must be projected to a CRS)
   :type gdf: geopandas.GeoDataFrame
   :param geom_type: The Datashader canvas() function to use valid values are 'polygon', 'line', 'point'
   :type geom_type: str
   :param width: The canvas width in pixels, determines the resolution of the generated image
   :type width: int
   :param height: The canvas height in pixels, determines the resolution of the generated image
   :type height: int
   :param cmap: The colormap to use for the generated image
   :type cmap: list of colors or matplotlib.colors.Colormap
   :param ds_agg: The Datashader reduction to use
   :type ds_agg: datashader.reductions function
   :param kwargs: Additional kwargs passed to datashader.transfer_functions.shade

   :returns: **A tuple containing a PIL.Image raster and its EPSG**
   :rtype: 4326 bounds