Application of modified Spatial K’luster Analysis by Tree Edge Removal Method (SKATER) on the level of Crime data in Way Kanan district, Lampung

I Kadek Yama Rinaldi

Abstract


Modification of method Spatial K'luster Analysis by Tree Edge Removal (SKATER) is one of the regionalization method for clustering based on the location by spatial autocorrelation and spatial patterns. This method uses graph theory approach to identify the homogeneous location is the minimum spanning tree. In addition to clustering objects based on similarity characteristics, in everyday life, often found that there are significant spatial clustering that affect specific object. This study was conducted to determine the relationship of the crime rate between districts in Way Kanan, Lampung. Based on these results, the characteristics of the crime rate in terms of spoliation, robbery and gambling have spatial autocorrelation and spatial patterns. Further applied modifications of SKATER. Generate 4 cluster (k) graded of the 14 districts. on average k1 (17.67% )  k2 (10.09%)   k3 (7.80%)  k4 (4.28%).


Full Text:

PDF

References


J. Aldstadt and A. Getis, "Using Amoeba to Create a Spatial Weights Matrix and Identify Spatial Clusters," Geogr Anal, vol. 38 (4), pp. 327-343, 2010.

E. Prahasta, Sistem Informasi Geografi, Bandung: Informatika, 2001.

L. Anselin, Spatial Econometrics : Methods and Models, Dordrecht: Kluwer, 1988.

J. Lee and D. W. S. Wong, Statistic for Spatial Data, New York: John Wiley & Sons, 2001.

R. M. Assuncao, M. C. Neves, G. Camaras and F. Costa, "Efficient Regionalization Techniques for Socioeconomic Geograph-icalunits Using Minimum Spanning Trees," International Journal of Geographical Information Science, vol. 20:7, pp. 797-811, 2006.

IA. Reis, G. Camaras, R. Assuncao and AMV. Monteiro, "Data-Aware Clustering for Geosensor Networks Data Collection," Anais XIII SimposioloBrasileiro de Sensoriamento Remoto, Florianopolis, Brasil, pp. 6059-6066, 2007.

R. D. Bekti, "Metode spasial SKATER untuk Pengelompokan Lokasi Berdasarkan Fasilitas Air Bersih dan Sanitasi," Jurnal Teknologi, vol. 8, pp. 53-58, 2015.

J. P. Lage, R. M. Assuncao, and IA. Reis, "A Minimal Spanning Tree Algorithm Applied to Spatial Cluster Analysis," Electronic Notes in Discrete Mathematics, vol. 7, pp. 1-23, 2002.

M. M. Fischer and A. Getis, "Handbook of Applied Spatial Analysis," in Springer, Berlin, Heidelberg and New York, 2010, pp. 255-278.

R. Munir, Matematika Diskrit, Bandung: Informatika, 2005.




DOI: https://doi.org/10.18860/ca.v4i4.3979

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 I Kadek Yama Rinaldi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Editorial Office
Mathematics Department,
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Gajayana Street 50 Malang, East Java, Indonesia 65144
Faximile (+62) 341 558933
e-mail: cauchy@uin-malang.ac.id

Creative Commons License
CAUCHY: Jurnal Matematika Murni dan Aplikasi is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.