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This project is created for: Grab GeoStars Program 2022 Geospatial Research Project.

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DjangoGIS

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Tech stacks:

  • Django
  • Sqlite3
  • JS, CSS, HTML
  • openrouteservice

Tech stacks

Background of project

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.

Topic

Visualising relationship between EVCSs and economic area using web GIS

Aim

Aim: To study the geospatial distance relationship EVCSs and facilities in Malaysia for better installations

Objectives

  1. To build a more complete database for EV charging stations POIs.
  2. Using web map to indicate the relationship between EV charging stations and economic areas showing proportional connection.
  3. Lastly, using the visualization to analyse the where the next EV

Outcome of project

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.

  1. Simulated a likelihood live web GIS that can be helpful for research institutes or accessible by publics.
  2. In general, EVCS still built near economic areas (more benefits). Relationship is there and not random occurrences.
  3. Authorities can perform better urban planning by installing EV stations in prioritized areas (such as high-density area).

About

This project is created for: Grab GeoStars Program 2022 Geospatial Research Project.

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