Artificial Intelligence and Geoinformation Systems

Abstract

This article discusses modern aspects of the use of artificial intelligence (AI) in GIS. Integrating AI into GIS opens new opportunities and prospects for analyzing and processing geographic data. This paper examines the role of artificial intelligence in GIS and its impact on various aspects of geographic information science. The main tasks that AI can solve in GIS are described, such as automatic recognition of objects on the map, forecasting and modeling of geographic processes, optimization of routes and decision making. It also discusses various methods and types of artificial intelligence that are used in GIS, such as neural networks and machine learning. Examples of specific applications of AI in GIS are described, such as fire forecasting, terrain analysis to find resources, determining the optimal location of infrastructure, and others. The stages of using artificial intelligence to solve geoinformation problems are presented. The study shows that the use of artificial intelligence in geographic information systems contributes to more accurate and efficient analysis of geographic data, helps to identify hidden patterns, and improve decision making in various areas. Artificial intelligence is becoming an important tool for working with geodata and contributes to the development of more intelligent and automated GIS.