i-manager Publications

Application of Computational and Geocomputation Techniques for Geospatial Analysis

Thomas U. Omali*, Sylvester B. M. Akpata**, Ibrahim Garba***, Abdullahi Akande****

* National Biotechnology Development Agency (NABDA), Nigeria.

**,**** Department of Geoinformatics and Surveying, University of Abuja, Nigeria.

*** Department of Mathematics, College of Education, Kazaure Jiwawa, Nigeria.

Periodicity:October - December'2024
DOI : https://doi.org/10.26634/jip.11.4.21471

Abstract

Computational science has significantly advanced theory and experiment over many decades. Specifically, computational geography emerged in the 1980s in response to the reductionist limitations of early GIS software, which hindered deeper analyses of complex geographic data. The advent of relational databases further facilitated the use of computational methods in spatial data analysis. This study discusses the application of computational techniques and geocomputation in the spatial analysis of geographical phenomena. A literature search and data synthesis were conducted, followed by an exploration of computational methods, geocomputation, spatial data representation, storage and organization, spatial analytics, and GeoAI. Geocomputation is defined as the application of computer- intensive approaches, particularly those employing non-conventional data clustering and analysis methods, to discern knowledge. At present, these computational techniques enable the integration of diverse fields, supporting spatial analyses that require resources or ontological frameworks beyond the capabilities of traditional GIS software.

Keywords

Big Data, Computational Thinking, Data Collection, Geographic Analysis, Spatial Patterns.

How to Cite this Article?

Omali, T. U., Akpata, S. B. M., Garba, I., and Akande, A. (2024). Application of Computational and Geocomputation Techniques for Geospatial Analysis. i-manager’s Journal on Image Processing, 11(4), 30-42. https://doi.org/10.26634/jip.11.4.21471

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Application of Computational and Geocomputation Techniques for Geospatial Analysis

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