Spatial AI: The Integration of Artificial Intelligence with Geographic Information Systems

Authors: Kirti Vasdev

DOI: https://doi.org/10.5281/zenodo.14535599

Short DOI: https://doi.org/g8wjp3

Country: USA

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Abstract: Spatial AI integrates Artificial Intelligence (AI) with Geographic Information Systems (GIS) to enhance the analysis, interpretation, and utilization of geospatial data. This paper explores the theoretical foundations, methodologies, and applications of Spatial AI, emphasizing its transformative potential across various domains. Key challenges, including data quality, computational complexity, and system integration, are discussed, alongside future directions for real-time analytics and the role of AI in advancing GIS capabilities. The paper incorporates case studies, diagrams, and tabular data to illustrate the integration's practical implications.

Keywords: Spatial AI, Geographic Information Systems (GIS), Artificial Intelligence (AI), geospatial data, data analysis, urban planning, environmental monitoring, disaster response, precision agriculture, predictive analytics, spatial data quality, computational complexity, interoperability, real-time analytics, explainable AI, 3D GIS models, IoT devices, machine learning, remote sensing, smart cities.

Paper Id: 231875

Published On: 2024-08-06

Published In: Volume 12, Issue 4, July-August 2024

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