AI and Machine Learning in GIS for  Predictive Spatial Analytics

Author(s)	Kirti Vasdev
Country	United States
Abstract	This paper explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) into Geographic Information Systems (GIS) to enhance predictive spatial analytics. It provides an overview of AI and ML concepts, their application in GIS, methodologies, challenges, and benefits. Case studies highlight real-world applications such as urban planning, disaster management, and environmental monitoring. The paper concludes by identifying future directions for leveraging AI and ML in GIS for sustainable development.
Keywords	Artificial Intelligence, Machine Learning, Geographic Information Systems, Predictive Analytics, Spatial Data, Urban Planning, Environmental Monitoring.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 10, Issue 1, January-March 2019
Published On	2019-03-04
Cite This	AI and Machine Learning in GIS for Predictive Spatial Analytics - Kirti Vasdev - IJSAT Volume 10, Issue 1, January-March 2019. DOI 10.5281/zenodo.14288363
DOI	https://doi.org/10.5281/zenodo.14288363
Short DOI	https://doi.org/g8txs2

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