Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools

The problem of drug addiction in Malaysia is worsening and causes harm to the well-being of the population of Malaysia. A report published in 2018 states that 133,684 or 0.4% of the Malaysian population are drug addicts. Furthermore, 56% of all inmates in the federal prison are locked-up because...

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Main Authors:	Hasranizam Hashim, Nor Aizam Adnan, Syaza Fillza Shamsulkamar, Chan, Yuen Fook, Wan Mohd Naim Wan Mohd
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2020
Online Access:	http://journalarticle.ukm.my/15850/ http://journalarticle.ukm.my/15850/1/34943-135177-1-PB.pdf

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author	Hasranizam Hashim, Nor Aizam Adnan, Syaza Fillza Shamsulkamar, Chan, Yuen Fook Wan Mohd Naim Wan Mohd,
author_facet	Hasranizam Hashim, Nor Aizam Adnan, Syaza Fillza Shamsulkamar, Chan, Yuen Fook Wan Mohd Naim Wan Mohd,
author_sort	Hasranizam Hashim,
building	UKM Institutional Repository
collection	Online Access
description	The problem of drug addiction in Malaysia is worsening and causes harm to the well-being of the population of Malaysia. A report published in 2018 states that 133,684 or 0.4% of the Malaysian population are drug addicts. Furthermore, 56% of all inmates in the federal prison are locked-up because of drug-related offences. This study aim is to identify the hotspots for drug addicts in Selangor, Malaysia. This study uses three geostatistical techniques, kernel density estimation (KDE), Getis-Ord Gi, and IDW to map the hotspots for drug addicts. The National Anti-Drug Agency (NADA) provides the data for this study which consists of 2997 cases of drug addict under supervision (DAUS) in 2016. The data are analysed using ArcGIS Pro 2.4 software. The individual DUAS represents a point vector data format with WGS 1984 Web Mercator projection. Hotspot analysis is performed using kernel density estimation (KDE), Getis-Ord Gi and IDW. The results show eight statistically significant hotspots for drug addicts in the subdistricts (99% confidence level and p-value < 0.001). The locations with significant hotspots for drug addicts are Bandar Serendah, Pandamaran, Bandar Klang, Bandar Kajang, Dengkil, Bandar Ampang, Bandar Damansara, and Semenyih sub-districts. This study provides spatial information that helps law enforcement agencies identify drug hotspot areas and use this information to create and enhance a defensible safe neighbourhood. The outcome of this study facilitates law enforcement through better strategic planning for reducing drug addict hotspot areas.
first_indexed	2025-11-15T00:25:33Z
format	Article
id	oai:generic.eprints.org:15850
institution	Universiti Kebangasaan Malaysia
institution_category	Local University
language	English
last_indexed	2025-11-15T00:25:33Z
publishDate	2020
publisher	Penerbit Universiti Kebangsaan Malaysia
recordtype	eprints
repository_type	Digital Repository
spelling	oai:generic.eprints.org:158502020-11-23T06:04:01Z http://journalarticle.ukm.my/15850/ Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools Hasranizam Hashim, Nor Aizam Adnan, Syaza Fillza Shamsulkamar, Chan, Yuen Fook Wan Mohd Naim Wan Mohd, The problem of drug addiction in Malaysia is worsening and causes harm to the well-being of the population of Malaysia. A report published in 2018 states that 133,684 or 0.4% of the Malaysian population are drug addicts. Furthermore, 56% of all inmates in the federal prison are locked-up because of drug-related offences. This study aim is to identify the hotspots for drug addicts in Selangor, Malaysia. This study uses three geostatistical techniques, kernel density estimation (KDE), Getis-Ord Gi, and IDW to map the hotspots for drug addicts. The National Anti-Drug Agency (NADA) provides the data for this study which consists of 2997 cases of drug addict under supervision (DAUS) in 2016. The data are analysed using ArcGIS Pro 2.4 software. The individual DUAS represents a point vector data format with WGS 1984 Web Mercator projection. Hotspot analysis is performed using kernel density estimation (KDE), Getis-Ord Gi and IDW. The results show eight statistically significant hotspots for drug addicts in the subdistricts (99% confidence level and p-value < 0.001). The locations with significant hotspots for drug addicts are Bandar Serendah, Pandamaran, Bandar Klang, Bandar Kajang, Dengkil, Bandar Ampang, Bandar Damansara, and Semenyih sub-districts. This study provides spatial information that helps law enforcement agencies identify drug hotspot areas and use this information to create and enhance a defensible safe neighbourhood. The outcome of this study facilitates law enforcement through better strategic planning for reducing drug addict hotspot areas. Penerbit Universiti Kebangsaan Malaysia 2020 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/15850/1/34943-135177-1-PB.pdf Hasranizam Hashim, and Nor Aizam Adnan, and Syaza Fillza Shamsulkamar, and Chan, Yuen Fook and Wan Mohd Naim Wan Mohd, (2020) Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools. Geografia : Malaysian Journal of Society and Space, 16 (3). pp. 263-278. ISSN 2180-2491 http://ejournals.ukm.my/gmjss/issue/view/1306
spellingShingle	Hasranizam Hashim, Nor Aizam Adnan, Syaza Fillza Shamsulkamar, Chan, Yuen Fook Wan Mohd Naim Wan Mohd, Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools
title	Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools
title_full	Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools
title_fullStr	Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools
title_full_unstemmed	Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools
title_short	Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools
title_sort	comparison of the distribution maps for drug addict hotspot in selangor using different spatial analysis tools
url	http://journalarticle.ukm.my/15850/ http://journalarticle.ukm.my/15850/ http://journalarticle.ukm.my/15850/1/34943-135177-1-PB.pdf

Comparison of the distribution maps for drug addict hotspot in Selangor using different spatial analysis tools

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