Enhancing GIS Potential Trough Innovative Intregation of spatial Analysis, Challenges and Opportunities

Introduction

My Name is Aurora Rachel Pravita, a student at Darussalam University Gontor i will review a journal tittle "Spatial Analysis GIS" by Morton E. O'Kelly.This article discusses the importance of spatial analysis and Geographic Information Systems (GIS) in spatial research. GIS has driven significant advances in spatial analysis, strengthening the future of the discipline. There are two main directions that require attention: improving data display techniques and assisting GIS users in understanding and improving spatial analysis tools.

Summary
This article highlights the rapid growth of GIS and its relation to spatial analysis, covering many fields such as ecology, archaeology, and natural resource science. GIS offers new tools for spatial analysis, but data display techniques need to be updated to take advantage of evolving information processing technologies. GIS not only enriches spatial analysis by adding new functionality but also improves the understanding of spatial systems through query modes. This article also identifies two major needs: modernisation of spatial data presentation methods and strengthening of spatial analysis tools used by GIS end users.

Analysis
The author of the article, Morton E. O'Kelly, makes a strong argument for improving the linkage between GIS and spatial analysis. O'Kelly emphasises that deep integration between GIS and spatial analysis will unlock the full potential of spatial analysis, enabling new results and advances that were previously unattainable. He shows how GIS can be improved by adding innovative spatial analysis functions and how certain spatial analysis operations are enhanced by using GIS.

In addition, the article also proposes the development of new tools for space-time pattern recognition in point data sets, space-time data modelling, and clustering in space-time pattern analysis. For example, O'Kelly discusses how clustering of data points in two-dimensional space can be used to recognise patterns in data spread over space and time. These techniques are important for identifying spatial patterns and might help uncover underlying spatial processes.

The article also proposes new spatial interaction models that can incorporate new concepts into facility location models. For example, O'Kelly proposes the use of new visualisation tools that can enrich spatial interaction models by introducing new spatial situations that may not be fully integrated into traditional location analysiCritical Analyses
This article is very comprehensive in discussing the potential of GIS and spatial analysis, but several aspects require further review. Firstly, while the article highlights the importance of modernising data display methods, not much detail is given on how these changes should be made. The practical implementation of the ideas proposed, such as improved display and recognition of space-time patterns, seems to require further research to be fully realised.

Secondly, O'Kelly suggests that the development of new tools for spatial analysis is essential, but the barriers to realising these tools are not fully discussed. For example, while there is an emphasis on the importance of integrating data and new tools, there is no detailed explanation of how these technical and conceptual barriers will be overcome in practice.