pvdeg.geospatial

Collection of classes and functions for geospatial analysis.

Function Overview

pvdeg.geospatial.analysis	Applies a function to each gid of a weather dataset.
pvdeg.geospatial.apply_bounding_box	Apply latitude-longitude rectangular bounding box to geospatial metadata.
pvdeg.geospatial.auto_template	Automatically create a template for a target function: func.
pvdeg.geospatial.calc_block	Calculate a block of gids for a given function.
pvdeg.geospatial.calc_gid	Calculate a single grid for a given function.
pvdeg.geospatial.can_auto_template	Check if we can use `geospatial.auto_template on a given function.
pvdeg.geospatial.elevation_stochastic_downselect	Downsample function.
pvdeg.geospatial.feature_downselect	Downselect function.
pvdeg.geospatial.identify_mountains_radii	Find mountains from elevation metadata using sklearn kdtree for fast lookup.
pvdeg.geospatial.identify_mountains_weights	Find mountains using weights calculated via changes in nearest neighbors.
pvdeg.geospatial.interpolate_analysis	Interpolate sparse spatial result data against DataArray coordinates.
pvdeg.geospatial.meta_KDtree	Create an sklearn.neighbors.KDTree for fast geospatial lookup operations.
pvdeg.geospatial.output_template	Generate xarray template for output data.
pvdeg.geospatial.plot_Europe
pvdeg.geospatial.plot_USA
pvdeg.geospatial.plot_sparse_analysis
pvdeg.geospatial.start_dask	Start a dask cluster for parallel processing.
pvdeg.geospatial.zero_template	Create zero-filled xarray.Dataset based on provided grids and shapes.