BSc IT Project Guide: Geospatial Visualization for Mapping Sales and Population Density
1. Introduction
This project aims to develop a geospatial visualization system to display and analyze location-based data such as sales performance and population density. The system will help businesses and analysts visualize data on maps, uncover patterns, and make informed decisions based on geographical insights.
2. Objectives
- Visualize data such as sales and population density on
interactive maps.
- Enable data filtering and comparison across regions.
- Provide heatmaps and marker-based visual representations.
- Enhance decision-making through spatial data analysis.
- Integrate with GIS and mapping libraries for dynamic visualization.
3. System Requirements
Hardware Requirements:
- Processor: Intel Core i5 or higher
- RAM: 8GB minimum
- Hard Disk: 500GB minimum
Software Requirements:
- Operating System: Windows/Linux/Mac
- Frontend: HTML, CSS, JavaScript, Leaflet.js or Mapbox
- Backend: Python/Node.js
- Database: PostgreSQL with PostGIS extension
- GIS Tools: QGIS (for offline data analysis)
4. System Modules
- User Authentication Module
- Data Upload and Management Module
- Map Integration and Layer Management
- Heatmap Generation
- Data Filtering and Analysis Tools
- Admin Dashboard
5. Methodology
This project will follow an agile development approach, using incremental iterations to develop, test, and refine geospatial features. The data will be processed using GIS tools and visualized using web mapping libraries.
6. Future Enhancements
- Integration with real-time data sources (e.g., IoT, APIs)
- Mobile app version with map viewing capabilities
- Advanced analytics like clustering and predictive heatmaps
- Export map reports to PDF or image formats
7. Conclusion
Geospatial Visualization enables organizations to see and interpret data in a geographic context. This project provides an effective solution for mapping data like sales and population density, aiding businesses and governments in making data-driven decisions.