This is a curated collection of Spatial Data Science Projects — a repository where I combine geospatial analysis, data storytelling, and modern Python visualization tools to tackle real-world spatial problems and is a part of my journey to transition into a professional role in Spatial Data Science, while applying my background in GIS, Remote Sensing, and Geospatial Data Integration & Automation.
| # | Project Title | Status | Description | Tools & Technologies |
|---|---|---|---|---|
| 1 | Climate-Resilient Urban Planning – Heat Island Detection & Cooling Infrastructure Mapping | Completed | Accessibility of cooling infrastructure | GEE Python API, Landsat 9, Leafmap |
GeoPandas,Shapely,Fiona,rasterioPyproj,Pandas,Numpy
Plotly,Matplotlib,SeabornKepler.gl,Leafmap,Deck.gl,FoliumOSMnx,NetworkX
Google Earth Engine (GEE)EarthPy,SentinelHub,geemap,SAMGeo,Leafmap
Streamlit,Panel,Dash,Voilafor interactive web dashboards
To demonstrate:
- End-to-end project design with reproducible code and insights
- Real-world spatial problem solving with open datasets
- Interactive dashboards for non-technical decision-makers
- Proficiency with Python, Earth Engine, Streamlit, and spatial data science libraries
Special thanks to the open-source GIS and remote sensing community for the tools, tutorials, and inspiration that make these projects possible.