How-To Guides
Concrete, step-by-step solutions for Python GIS tasks — from loading a shapefile to shipping a scheduled, tested, containerised pipeline.
Every how-to guide, A–Z
Page 22 — use the page links below, or browse by topic above.
- How to Read ESA WorldCover Tiles for an Area in Python
- How to Read GeoJSON in Python with GeoPandas
- How to Read GRIB Weather Forecast Data in Python
- How to read GTFS Realtime vehicle positions and delays in Python
- How to Read Hansen Global Forest Change Data in Python
- How to Read HRRR Wind Data in Python
- How to Read HURDAT2 Hurricane Best Tracks in Python
- How to Read Landsat Surface Temperature in Python
- How to Read MRMS Rainfall Estimates from GRIB2 in Python
- How to Read NEXRAD Level II Radar Data in Python
- How to Read NOAA's Storm Events Database in Python
- How to Read Ookla Speedtest Open Data Tiles in Python
- How to read Sentinel-1 RTC data in Python
- How to Read Shapefiles, GeoJSON and GeoParquet in DuckDB
- How to Read Spatial Data from S3 and Other Object Storage
- How to Read the FAA Aircraft Registry in Python
- How to read the metadata already inside your spatial files
- How to Read UK Road Traffic Counts in Python
- How to Reclassify a Land Cover Raster in Python
- How to record lineage automatically in a pipeline
- How to Record Run Metadata and Data Lineage in a GIS Pipeline
- How to Recreate John Snow's Cholera Map in Python
- How to Redistribute Population with Dasymetric Mapping
- How to reduce coordinate precision safely in Python
- How to Reduce GIS File Size in Python Without Wrecking the Data
- How to Relate Daily Crime to Temperature in Python
- How to Relate Drought to River Flow: Precipitation Deficits and Low Flows
- How to Relate Heat and Hot Water Complaints to Outdoor Temperature
- How to Relate Land Surface Temperature to Vegetation in Python
- How to Relate Street Tree Health to Sidewalk Damage and Site Conditions