Using clustering methods in geospatial information systems

Xin Wang; Howard Hamilton

doi:10.1117/12.813150

10 November 2008 Using clustering methods in geospatial information systems

Xin Wang, Howard Hamilton

Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71461N (2008) https://doi.org/10.1117/12.813150
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

Spatial clustering is the process of grouping similar objects based on their distance, connectivity, or relative density in space, which has been employed for spatial analysis over years. To be able to integrate the proper clustering methods in geospatial information systems, two problems are discussed in the paper: how to select a proper spatial clustering methods and how to implement the clustering method in GIS. In this paper, we will give a detailed discussion on different types of clustering methods. Analysis on advantages and limitations for some classical clustering methods are given. Then we will discuss some issues of using the spatial clustering methods in the geospatial information systems.

Citation Download Citation

Xin Wang and Howard Hamilton "Using clustering methods in geospatial information systems", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71461N (10 November 2008); https://doi.org/10.1117/12.813150

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