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- Django
- Sqlite3
- JS, CSS, HTML
- openrouteservice
This project is created for: Grab GeoStars Program 2022 Geospatial Research Project.
It was held in Universiti Teknologi Malaysia (UTM), organised by Grab, the biggest multinational technology company headquartered in One-north, Singapore.
Visualising relationship between EVCSs and economic area using web GIS
Aim: To study the geospatial distance relationship EVCSs and facilities in Malaysia for better installations
- To build a more complete database for EV charging stations POIs.
- Using web map to indicate the relationship between EV charging stations and economic areas showing proportional connection.
- Lastly, using the visualization to analyse the where the next EV
What I implemented: A web map showing POIs and colour ramp heatmap deployed on free online server. With visualizations and patterns available, we can analyse our objectives more easily.
- Simulated a likelihood live web GIS that can be helpful for research institutes or accessible by publics.
- In general, EVCS still built near economic areas (more benefits). Relationship is there and not random occurrences.
- Authorities can perform better urban planning by installing EV stations in prioritized areas (such as high-density area).