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/15850/1/34943-135177-1-PB.pdf
http://journalarticle.ukm.my/15850/
http://ejournals.ukm.my/gmjss/issue/view/1306
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Institution: Universiti Kebangsaan Malaysia
Language: English
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spelling my-ukm.journal.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
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
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.
format Article
author Hasranizam Hashim,
Nor Aizam Adnan,
Syaza Fillza Shamsulkamar,
Chan, Yuen Fook
Wan Mohd Naim Wan Mohd,
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
author_facet Hasranizam Hashim,
Nor Aizam Adnan,
Syaza Fillza Shamsulkamar,
Chan, Yuen Fook
Wan Mohd Naim Wan Mohd,
author_sort Hasranizam Hashim,
title 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_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_sort comparison of the distribution maps for drug addict hotspot in selangor using different spatial analysis tools
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2020
url http://journalarticle.ukm.my/15850/1/34943-135177-1-PB.pdf
http://journalarticle.ukm.my/15850/
http://ejournals.ukm.my/gmjss/issue/view/1306
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