Correlation of Geographic Information System with the Evolutionary Theory of Spatial Analysis

Thomas U. Omali¹

Section:Research Paper, Product Type: Journal-Paper
Vol.10 , Issue.4 , pp.18-22, Aug-2022

Online published on Aug 31, 2022

Copyright © Thomas U. Omali . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Geographic Information system (GIS) is a powerful computer-based tool used in building spatially explicit models for comprehending real-world processes. Consequently, it has attracted extensive research efforts over the past half-century across the globe. Also, spatial analysis is a significant area of application within geographic information science or a computer-enhanced geographic data environment. The reason is that virtually all the occurrences we encounter daily assume a spatial context. GIS is suitable and effective for providing the requisite solutions to various problems related to these manifestations including representing, analyzing, and knowing their spatial dimensions. Thus, this review focuses on the relationship between GIS and the evolution of spatial analysis. It offers an in-depth discussion of the evolutionary theory of spatial analysis with a specific emphasis on quantitative geography, regional science, spatial statistics, and computational geometry. Summarily, GIS is highly effective in handling spatial analysis because of its ability to manage both planar and attribute data in an integrated manner.

Key-Words / Index Term :
Geometry; GIS; Modeling; Spatial Pattern; Statistics

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