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...
Saved in:
Main Authors: | , , , , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Kebangsaan Malaysia |
Language: | English |
id |
my-ukm.journal.15850 |
---|---|
record_format |
eprints |
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 |
_version_ |
1684654310670991360 |