📅 2023-05-19 — Session: Streamlined GeoDataFrame processing for GeoJSON outputs
🕒 14:10–15:10
🏷️ Labels: Geodataframe, Geojson, Python, Data Processing, Geospatial
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to streamline the process of simplifying GeoDataFrames and saving them as GeoJSON files, focusing on improving the precision and handling of geospatial data.
Key Activities
- Implemented a loop to simplify GeoDataFrames with varying tolerances, saving each version as a GeoJSON file with dynamic filenames.
- Developed a method to round coordinates in GeoJSON files post-simplification, ensuring data precision.
- Resolved conversion issues from GeoSeries to GeoDataFrame, enabling further modifications and proper GeoJSON saving.
- Corrected a lambda function for GeoJSON conversion using the
shapely.geometry.mapping
function. - Updated the simplification process to eliminate unnecessary conversions and ensure proper rounding of coordinates.
- Addressed and fixed errors related to geometry object attributes and column name issues in GeoDataFrames.
Achievements
- Successfully streamlined the GeoDataFrame simplification process, resulting in efficient and precise GeoJSON outputs.
- Improved handling of MultiPolygon geometries and resolved attribute errors, enhancing data processing reliability.
Pending Tasks
- Further testing with larger datasets to ensure scalability and performance.
- Explore additional optimization techniques for geospatial data processing.