Executed GeoJSON Data Processing and Conversion

• Day: 2023-02-23
• Time: 19:30 to 20:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Geojson, Ogr2Ogr, Gdal, Geopandas, SQL, Data Processing

Description

Session Goal

The goal of this session was to explore and execute various geospatial data processing and conversion tasks using command-line tools and Python libraries.

Key Activities

• Handling GeoJSON File Overwrite Error: Resolved issues with the GeoJSON driver error by demonstrating how to overwrite existing files and extract features using ogrinfo and ogr2ogr commands.
• Command Line Usage for GeoJSON Conversion: Converted datasets to GeoJSON format using ogr2ogr, specifying columns and verifying with Python’s GeoPandas.
• Resolving SQL Query Issues: Addressed SQL query issues related to special characters in column names by suggesting solutions like using backticks.
• Splitting GeoJSON Files: Utilized ogr2ogr and gdal_retile.py to split GeoJSON files into smaller parts, detailing command syntax and options.
• Clipping GeoJSON Files: Explained limitations of gdal_retile.py and provided alternatives using ogr2ogr for clipping data.
• Using geojsplit: Demonstrated splitting GeoJSON files into equal parts with geojsplit.
• Counting Features with GDAL: Used ogrinfo to count features in GeoJSON files.
• Reading GeoJSON with GeoPandas: Showed how to read GeoJSON files using GeoPandas in Python.

Achievements

• Successfully executed multiple geospatial data processing tasks using command-line tools and Python libraries.
• Clarified methods for handling file overwrite errors and SQL query issues.

Pending Tasks

• Further exploration of advanced geospatial data processing techniques and tools.
• Consider automation scripts for repetitive tasks using Python.

Evidence

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• event_ids: []