## Profil

Datum registrace: 17. 5. 2022

## FSXAerosoftInnsbruckLOWIairportv110

156816 A: You can solve this by treating the difference between the WKT and the Spatial Types as an unstandardized difference: Use ST_Distance_Sphere to compute the distance between the points represented by the WKT and the points represented by the Spatial Types. Then convert the result to an integer, and define the count of spatially comparable points as the integer result divided by 12. Here is an example of the solution: import fiona import pysal import shapely import geopandas from shapely.geometry import Point # Load two shapefiles, one containing points, the other containing # polygons f = open("c:/temp/pts.shp", "r") pts = [feature for feature in f.readlines() if "pt" in feature] f.close() pts = [Point(pt) for pt in pts] print(pts) pts2 = open("c:/temp/polys.shp", "r") polys = [feature for feature in f.readlines() if "polygon" in feature] f.close() polys = [shapely.geometry.shape(poly) for poly in polys] print(polys) # Calculate the distance between the points represented by the WKT # and the points represented by the Spatial Types. dist = [] for p, poly in zip(pts, polys): dist.append(p.distance(poly)) dist = [round(d * 12, 2) for d in dist] print(dist) # Calculate the count of spatially comparable points between the # points represented by the WKT and the points represented by the # Spatial Types count = sum(dist) / 12 print(count) # Export the shapefile pts3 = pysal.io.Export(pts, "c:/temp/pts3.shp", max_index=5, include_defaults=True) pts3.save() polys3 = pysal.io.Export(polys, "c:/temp/polys3.shp", max_index=5, include_defaults=True

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