The industrial exposure of several European countries is defined in the European Seismic Risk Model 2020 (ESRM20, or SERA model) on a 30-arcsec grid. The ESRM20/SERA files only provide points (lon, lat) in which buildings exist, not the full definition of the 30-arcscec grid. We need to define the polygons of the cells of which the given points are centroids in order to then treat them as the equivalent of "districts" for the industrial case.
This merge request is the first of several that aim at implementing this feature. The following is included in this first merge request:
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Added
GDE_TOOLS_create_industrial_cells.pywith four initial functions:-
define_corners(): define the four corners of the cell, given the centroid -
define_cell_polygon(): create a Shapely polygon of the cell using the four corners -
retrieve_unique_points(): determine the unique points (lon, lat) that exist in an input Pandas DataFrame (which will contain the SERA input model, in which the same points repeat themselves for different building classes), according to a defined precision -
define_cells_in_dataframe(): define cell geometries around input centroids given in a Pandas DataFrame of unique points (the output ofretrieve_unique_points()), by callingdefine_corners()anddefine_cell_polygon()
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Added
test_GDE_TOOLS_create_industrial_cells.pywith tests for all those functions, except for define_cell_polygon() as it just defines a polygon using Shapely (i.e. we'd be testing Shapely, not our code).
This feature is associated with https://git.gfz-potsdam.de/dynamicexposure/collaboration/-/issues/40
Note: print statements are used to indicate errors/problems as a full logger functionality is not yet part of the prototype code (quite a manual logging system is set up in some core scripts, though; a full logger functionality will probably not be incorporated to the prototype code but go directly in the refactoring).