From a simple map to a full Web GIS system.
Web App
web-gis leaflet python I started by building a small project using pure JavaScript and Leaflet — no frameworks, just fundamentals.
The goal was simple: understand how maps actually work.
- how tiles load
- how layers are structured
- how GeoJSON is rendered
- how user interaction is handled
That project became my foundation.
Then I pushed it further.
I built a full-stack Web GIS application for Oil & Gas data, adding:
- real-time spatial queries (PostGIS)
- a FastAPI backend
- viewport-based loading (bbox filtering)
- dynamic filters (status-based)
- layer control + UI panel
- performance optimizations (debounce, request control)
The biggest shift wasn’t technical — it was conceptual:
I moved from:
“displaying data on a map”
to:
“designing how spatial data is requested, filtered, and rendered efficiently”
What I learned:
- Fundamentals matter more than frameworks
- Performance becomes critical with real data
- UI and data logic must stay in sync
- Debugging teaches more than tutorials
Projects:
🔹 👉 Leaflet Demo
Next step:
Scaling this with clustering, vector tiles, and more advanced filtering.
If you’re learning GIS or web mapping — start simple.
It compounds faster than you think.