An Overview of the Data Access & Visualization Portal for Geographic Information System and Its Application
Introduction and about Geographic Information Systems (GIS) are essential for analyzing geographical data and making decisions in a variety of fields. The goal of this project is to create a "Data Access & Visualization Portal for GIS," which will transform India's raw Excel-based coordinate data into interactive graphical representations. The project enables effective administration, access, and depiction of geographic data by utilizing Django and database connectivity. The solution fills the gap in research, planning, and governance by providing intuitive and perceptive visual tools for analyzing spatial datasets. Existing Solutions and Their Drawbacks The GIS data visualization methods available today frequently require expensive deployment, complicated software, or steep learning curves. Conventional tools, such as ArcGIS or QGIS, are inaccessible to non-technical users due to their high technical skill requirements. Many of the current platforms are either too expensive or too stiff for specialized needs, and they lack smooth interaction for real-time data management. Furthermore, the data preparation process is laborious and time-consuming due to the ineffectiveness of independent visualization tools unbridging the gap between interactive graphical interfaces and raw data sources like Excel files. Proposed solution and advantages The suggested solution provides a simplified, affordable, and intuitive web-based interface for accessing and visualizing GIS data .which processes Excel-based geographic data. By streamlining processes, lowering reliance on pricey or sophisticated equipment, and enabling real-time data changes, the system improves accessibility. This portal is a strong platform for a variety of GIS applications.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-21
- DOI
- https://doi.org/10.5281/zenodo.15712467
- Primary Topic
- Geographic Information Systems Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00