The polygon layer commonly consists of a fishnet (rectangular cells), but using hexagons as a grid is becoming increasingly widespread. ![]() We can summarize an aspect of that feature within each cell of the grid. To summarize by grid, we create a new polygon layer consisting of a grid and overlay on another feature. ![]() shape ) Count Points in Rectangular or Hexagonal Grid or by Polygon # to_crs ( proj ) # Create a column that assigns each well a number wells = np. read_file ( "./_static/e_vector_shapefiles/sf_bay_wells_50km/sf_bay_wells_50km.shp" ) # Reproject data to NAD83(HARN) / California Zone 3 # proj = 2768 counties = counties. read_file ( "./_static/e_vector_shapefiles/sf_bay_counties/sf_bay_counties.shp" ) # Well locations # Source: # Modified by author so that only the well locations within the counties and the surrounding 50 km were kept wells = gpd. # Load data # County boundaries # Source: counties = gpd. Remote Sensing Coordinate Reference Systems Window Operations with Rasterio and GeoWombatĥ - Accessing OSM & Census Data in Python Point Density Measures - Counts & Kernel Density Proximity Analysis - Buffers, Nearest Neighbor Raster Coordinate Reference Systems (CRS) Vector Coordinate Reference Systems (CRS) Manipulating Spatial Objects: Points, Lines, Polygons in PythonĢ - Nature of Coordinate Systems in Python Working with Spatial Vector Data using GeoPandas Geospatial Environment Installation Guide ![]() PyGIS - Open Source Spatial Programming & Remote Sensing
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