A collection of scripts and workflows designed to automate and streamline geospatial tasks using Python and R. This project explores how code can simplify repetitive processes, improve accuracy, and accelerate geospatial data analysis.
🌐 akunnatechstudio.com/geospatial
This project demonstrates how to:
- Automate geoprocessing tasks using Python and ArcPy
- Script data management workflows and clean large geospatial datasets
- Perform spatial analysis using Python and R
- Create maps and batch process layers for visual insights 🗺️
Whether you're managing shapefiles, clipping rasters, or generating custom map layouts in ArcGIS Pro, these scripts help save time and reduce manual work.
- 🔁 Batch processing and automation
- Spatial joins and geoprocessing tools (clip, buffer, intersect, etc.)
- 📊 Spatial analysis (zonal stats, distance measures, land use patterns)
- Map automation with layout exports (PDF, PNG)
- Shapefile, GeoTIFF, CSV management and cleaning
Languages & Libraries
- Python
- R
GIS & Spatial Tools
- ArcPy (ArcGIS Pro)
terra,tmap,rgdal,ggspatial(R)tidyr,dplyrfor data wranglingggplot2,tmap, andggspatialfor visualizations
python r automation arcpy scripting arcgis-pro
geospatial-data-analysis rgdal tmap dpylr tidyr
terra map-automation batch-processing ggspatial
- Automatically clipping all layers in a directory to a study boundary.
- Generating population density maps by census tracts using batch choropleth mapping.
- Exporting 50+ maps at once with dynamic titles and legends.
- Cleaning and standardizing attribute tables from multiple shapefiles.