3 posts
Build Voronoi (Thiessen) polygons in Python with shapely and GeoPandas, clipped to a real boundary. Compute Thiessen-weighted catchment rainfall for the River Eden from Environment Agency rain gauge readings, check the gauges, compare with the gauge average and IDW, then compare Voronoi 'nearest fire station' areas in Cumbria with drive-time service areas from OpenStreetMap.
Solve location-allocation problems in Python with spopt and the CBC solver: the p-median, p-center and maximal covering location problem (MCLP). Choose sites for new urgent-care or mobile clinic bases among Cornwall's community buildings, on OSMnx drive times and Census 2021 population, compare the three answers on maps and charts, draw the trade-off curve as the number of sites grows, and see how problem size drives solve time.
Measure spatial accessibility to GP practices in Python with the two-step floating catchment area (2SFCA) method and its distance-decay version (E2SFCA). Build OSMnx drive times for Cornwall from OpenStreetMap, use NHS GP workforce data and Census 2021 population, compare the PySAL access package with a vectorised NumPy version, and test the catchment threshold, the decay function and edge effects.