Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal International Journal of Education, Vocational and Social Science
Muhammad Junaid Ahmad
Unknown Affiliation
Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Social Sciences Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Title: A Systematic Review of Open-Source GIS Platforms: Capabilities, Limitations, and Adoption Partab Rathore; Muhammad Junaid Ahmad; Muhammad Zain; Ayesha Shafiq; Muhammad Junaid Bin Zulfiqar
International Journal of Education, Vocational and Social Science Vol. 4 No. 04 (2025): September - November, International Journal of Education, Vocational and Socia
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v4i04.2386

Abstract

The integration of Geographic Information Systems (GIS) with remote sensing and artificial intelligence (AI) is transforming the landscape of spatial analysis. This review explores the evolution, capabilities, and adoption of prominent open source GIS platforms including QGIS, GRASS GIS, gvSIG, SAGA GIS, ILWIS, and Whitebox GAT. These tools have emerged as robust alternatives to proprietary software, offering flexibility, extensibility, and community-driven innovation. The paper examines their origins, key features, licensing models, and comparative strengths in handling raster-vector analysis, plugin support, and web-based mapping. It further highlights adoption trends in academia, government, and non-profit sectors, along with educational integration and migration patterns from commercial platforms. Current limitations such as steep learning curves and performance with large datasets are addressed. The review concludes by outlining future directions, including AI integration, real time analytics, cloud deployment, and enhanced interoperability. By synthesizing literature and case examples, this paper underscores how open-source GIS, in combination with remote sensing and AI, is shaping a new era in spatial intelligence.
Co-Authors Ayesha Shafiq Muhammad Junaid Bin Zulfiqar Muhammad Zain Partab Rathore