Review of Spatial Analysis as a Geographic Information Management Tool

Abstract

Spatial analysis is a field of study that utilizes geographic or spatial information to understand and analyze patterns, relationships, and trends in data. It is characterized by the use of geographic information, which allows for the analysis of data in the context of its location and surroundings. It is different from aspatial techniques which do not consider the geographic context and may not provide as complete of an understanding of the data. Spatial analysis is applied in a variety of fields which includes urban and regional planning, crime rate investigation, public health studies and epidemiology, environmental science, geosciences, marketing, and to gain insights and make decisions about complex spatial problems. The aim of this review paper is to explain the concept of spatial analysis as a Geographic Information System (GIS) tool, differentiate it from aspatial techniques, discuss different spatial analysis techniques including buffer, interpolation, and kernel density analysis, and highlight its importance. The paper followed a methodology that involved multiple definitions of spatial analysis from various sources. Comparative analysis of spatial and aspatial datasets and techniques was conducted, followed by application of spatial analysis in various fields including land cover classification, public health management, solid waste disposal management, and identification of the impact of urban sprawl. Applications of spatial analysis techniques were also reviewed. The importance of this paper lies in its contribution to the understanding and utilization of spatial analysis as a GIS tool. By explaining the concept, differentiating it from non-spatial techniques, and providing examples of its applications, the paper highlights the significance and potential of spatial analysis in various fields.