An extensible tool for spatial clustering

Spatial clustering dealt with the clustering of spatial objects so that the objects with higher similarity is grouped together in a cluster. It has been applied among numerous fields with various approaches and methods. Some tools and libraries capable of doing spatial clustering analysis have been developed. However, those tools typically only implement a specific approach. In this paper, we propose a user-friendly analysis tool that can facilitate various approaches and methods to conduct spatial clustering analysis. Moreover, we take into account the extensibility factor of the analysis tool which allows integration of new algorithms to be done.

[1]  L. Anselin Local Indicators of Spatial Association—LISA , 2010 .

[2]  S. Edge,et al.  Geographic clustering of residence in early life and subsequent risk of breast cancer (United States) , 2004, Cancer Causes & Control.

[3]  Alan T. Murray,et al.  Exploratory Spatial Data Analysis Techniques for Examining Urban Crime , 2001 .

[4]  W. Vickrey On the Prevention of Gerrymandering , 1961 .

[5]  Tonglin Zhang,et al.  Spatial Scan Statistics , 2013 .

[6]  A. Getis The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

[7]  A. Zoltners,et al.  Sales Territory Alignment: A Review and Model , 1983 .

[8]  Ranga Raju Vatsavai,et al.  Trends in Spatial Data Mining , 2022 .

[9]  Juan Carlos,et al.  Design of Homogenous Territorial Units. A Methodological Proposal and Applications , 2004 .

[10]  Luc Anselin,et al.  The Max‐P‐Regions Problem , 2012 .

[11]  T. Tango,et al.  International Journal of Health Geographics a Flexibly Shaped Spatial Scan Statistic for Detecting Clusters , 2005 .

[12]  Bruno Simeone,et al.  A spanning tree heuristic for regional clustering , 1995 .

[13]  J. Cox,et al.  Spatial clustering of malaria and associated risk factors during an epidemic in a highland area of western Kenya , 2004, Tropical medicine & international health : TM & IH.

[14]  M. Kulldorff A spatial scan statistic , 1997 .

[15]  S Openshaw,et al.  Algorithms for Reengineering 1991 Census Geography , 1995, Environment & planning A.

[16]  P. Albuquerque,et al.  SPATIAL HIERARCHICAL CLUSTERING , 2009 .

[17]  L. Anselin Local Indicators of Spatial Association—LISA , 2010 .

[18]  Sergio J. Rey,et al.  PySAL: A Python Library of Spatial Analytical Methods , 2010 .

[19]  Alan T. Murray,et al.  Spatial Clustering Overview and Comparison: Accuracy, Sensitivity, and Computational Expense , 2014 .

[20]  Youngihn Kho,et al.  GeoDa: An Introduction to Spatial Data Analysis , 2006 .