WFS Data with GeoPandas
support.mapstand.com · 444 words · saved by 1 readers
Accessing MapStand WFS Data with GeoPandas
You’ll also need a MapStand API Access Token. Step 1: Import Libraries and Load Environment Variables import geopandas as gpd import requests import geojson import os from dotenv import load_dotenv # Load API keys and environment variables load_dotenv() Step 2: Define a Helper Function to Read WFS Data Before fetching multiple WFS layers, it’s helpful to create a helper function. This avoids repeating the same request and parsing steps, making your code cleaner and easier to reuse. def read_wfs(url, params, typename, crs='EPSG:4326', cql_filter=""): """ Fetch a WFS layer and…
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