Executed Geospatial Data Processing with GeoJSON

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📅 2023-02-23 — Session: Executed Geospatial Data Processing with GeoJSON

🕒 19:30–20:10
🏷️ Labels: Geojson, Ogr2Ogr, Gdal, Geopandas, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary objective of this session was to address and execute various geospatial data processing tasks involving GeoJSON files.

Key Activities

  • Handling GeoJSON File Overwrite Error: Implemented solutions for the GeoJSON driver error using ogrinfo and ogr2ogr commands to extract features.
  • GeoJSON Conversion: Utilized ogr2ogr for converting datasets to GeoJSON format and verified using Python’s Geopandas.
  • SQL Query Issues: Resolved SQL query issues related to special characters in column names.
  • Splitting GeoJSON Files: Employed ogr2ogr, gdal_retile.py, and geojsplit for splitting GeoJSON files into smaller parts, with detailed command options.
  • Clipping GeoJSON Files: Used ogr2ogr for clipping GeoJSON data, addressing limitations of gdal_retile.py.
  • Feature Counting: Applied ogrinfo from GDAL to count features in GeoJSON files.
  • Reading with GeoPandas: Demonstrated reading GeoJSON files using GeoPandas in Python.

Achievements

Successfully executed a series of geospatial data processing tasks, enhancing the handling and manipulation of GeoJSON files through command line and Python tools.

Pending Tasks

  • Further exploration of advanced geospatial data processing techniques and optimization of current workflows.

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