000			01828nam a2200217 4500
005			20250411144131.0
008			250411b |||||||| |||| 00| 0 eng d
020			_a9781647403997
037			_cTextual
040			_aRTL _cRTL
084			_aU:(D6,9(B) R3 _qRTL
245			_aGeoinformation Technology and Artificial intelligence
260			_aNew York _bSyrawood Publishing House _c2023
300			_avii, 237 p. _bIncludes index
520			_aGeoinformation technology refers to a science that deals with the acquisition, storage, management, analysis and delivery of geographic and spatially referenced information. It comprises an interactive site for deeper study of raster data on greenhouse gas emissions as well as a website for spatial analysis and visualization of vector data. Artificial intelligence (AI) is a field of computer science that focuses on developing and managing technology that can learn to make decisions and perform actions autonomously on behalf of humans. It uses logic-based techniques and advanced analysis including machine learning to assist and automate decisions, interpret events, and take actions. The combination of geoinformation technologies and AI technologies has various applications such as exposure modeling in environmental epidemiology and automating cyber-physical systems. This book elucidates the concepts and innovative models around prospective developments with respect to the application of artificial intelligence in the field of geoinformation technology. It will serve as a valuable source of reference for graduate and postgraduate students.
650			_aGeophysics _9722451
650			_aGeographic information system
650			_aArtificial Intelligence _9596191
700			_aDavies, Kaylin _eEditor _9752187
942			_2CC _n0 _cTB _hU:(D6,9(B) R3
999			_c1308882 _d1308882