Integrating GIS, GeoAI, and Geospatial Programming  to Support Methods of Spatial Data Analysis

Mahmoud, Mohamad Shamrukh Muhammad; Aziz, Mohamed Alkhuzamy; Mahmoud, Ibrahim Desouky; Othman, Hamdan Saad Nagar

doi:10.21608/qarts.2023.224800.1721

Integrating GIS, GeoAI, and Geospatial Programming to Support Methods of Spatial Data Analysis

Document Type : Original Article

Authors

¹ Department of Geography and Geographic Information Systems Faculty of Arts - South Valley University

² Department of Geography and Geographic Information Systems Faculty of Arts - Fayoum University

³ Department of Geography and Geographic Information Systems Faculty of Arts - South Valley Universi

10.21608/qarts.2023.224800.1721

Abstract

The field of geographic information science has seen a recent trend towards smart spatial analysis, which involves processing large amounts of spatial data, or Big Geodata, to extract information for decision-making. Smart Maps provide data and statistics on geographical features and phenomena, including networks to determine optimal routes, community participation and historical site information, and government services.
Geospatial Artificial intelligence applications enhances GIS capabilities through smart models trained on data to identify geographic phenomena and extract information from satellite data. Additionally, programming plays a significant role in enhancing GIS capabilities by developing analytical tools, building new functions, and automating tasks. Algorithms serve as a starting point for complex spatial analysis with multi-criteria analysis, providing a constructive format for implementing analytical operations and comparing results to reach a final map of alternatives for decision-makers, and can be applied to Big Geodata.

Keywords