Kernel density estimation and hotspot mapping
Purpose – The purpose of this paper is to examine the effects of user-defined parameters settings (e.g. interpolation method, grid cell size, and bandwidth) on the predictive accuracy of crime hotspot maps produced from kernel density estimation (KDE). Design/methodology/approach – The influence of...
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| Veröffentlicht in: | Policing : an international journal of police strategies & management 2014-05, Vol.37 (2), p.305-323 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng ; jpn |
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| container_end_page | 323 |
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| container_issue | 2 |
| container_start_page | 305 |
| container_title | Policing : an international journal of police strategies & management |
| container_volume | 37 |
| creator | Hart, Timothy Zandbergen, Paul |
| description | Purpose
– The purpose of this paper is to examine the effects of user-defined parameters settings (e.g. interpolation method, grid cell size, and bandwidth) on the predictive accuracy of crime hotspot maps produced from kernel density estimation (KDE).
Design/methodology/approach
– The influence of variations in parameter settings on prospective KDE maps is examined across two types of interpersonal violence (e.g. aggravated assault and robbery) and two types of property crime (e.g. commercial burglary and motor vehicle theft).
Findings
– Results show that interpolation method has a considerable effect on predictive accuracy, grid cell size has little to no effect, and bandwidth as some effect.
Originality/value
– The current study advances the knowledge and understanding of prospective hotspot crime mapping as it answers the calls by Chainey et al. (2008) and others to further investigate the methods used to predict crime. |
| doi_str_mv | 10.1108/PIJPSM-04-2013-0039 |
| format | Article |
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– The purpose of this paper is to examine the effects of user-defined parameters settings (e.g. interpolation method, grid cell size, and bandwidth) on the predictive accuracy of crime hotspot maps produced from kernel density estimation (KDE).
Design/methodology/approach
– The influence of variations in parameter settings on prospective KDE maps is examined across two types of interpersonal violence (e.g. aggravated assault and robbery) and two types of property crime (e.g. commercial burglary and motor vehicle theft).
Findings
– Results show that interpolation method has a considerable effect on predictive accuracy, grid cell size has little to no effect, and bandwidth as some effect.
Originality/value
– The current study advances the knowledge and understanding of prospective hotspot crime mapping as it answers the calls by Chainey et al. (2008) and others to further investigate the methods used to predict crime.</description><identifier>ISSN: 1363-951X</identifier><identifier>DOI: 10.1108/PIJPSM-04-2013-0039</identifier><language>eng ; jpn</language><publisher>Emerald Group Publishing Limited</publisher><subject>Criminal justice ; Policing ; Public policy & environmental management</subject><ispartof>Policing : an international journal of police strategies & management, 2014-05, Vol.37 (2), p.305-323</ispartof><rights>Emerald Group Publishing Limited</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2094-7115c5153b235b1bc4b8e994693f78f8c76276d853ddc16f4fdbe4f8518bfd2f3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/PIJPSM-04-2013-0039/full/pdf$$EPDF$$P50$$Gemerald$$H</linktopdf><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/PIJPSM-04-2013-0039/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,776,780,961,11614,21674,27901,27902,52661,52664,53219,53347</link.rule.ids></links><search><creatorcontrib>Hart, Timothy</creatorcontrib><creatorcontrib>Zandbergen, Paul</creatorcontrib><title>Kernel density estimation and hotspot mapping</title><title>Policing : an international journal of police strategies & management</title><description>Purpose
– The purpose of this paper is to examine the effects of user-defined parameters settings (e.g. interpolation method, grid cell size, and bandwidth) on the predictive accuracy of crime hotspot maps produced from kernel density estimation (KDE).
Design/methodology/approach
– The influence of variations in parameter settings on prospective KDE maps is examined across two types of interpersonal violence (e.g. aggravated assault and robbery) and two types of property crime (e.g. commercial burglary and motor vehicle theft).
Findings
– Results show that interpolation method has a considerable effect on predictive accuracy, grid cell size has little to no effect, and bandwidth as some effect.
Originality/value
– The current study advances the knowledge and understanding of prospective hotspot crime mapping as it answers the calls by Chainey et al. (2008) and others to further investigate the methods used to predict crime.</description><subject>Criminal justice</subject><subject>Policing</subject><subject>Public policy & environmental management</subject><issn>1363-951X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNptj7lOAzEURV2ARAh8AY1_wPCet7FLFLEEgoiUINGNxhsMmk1jN_l7gqBEp7jd0T2EXCFcI4K52a6ftrsXBpJxQMEAhD0hCxRaMKvw_Yyc5_wFAHhkQdhznIfY0RCH3JYDjbm0fVPacaDNEOjnWPI0Fto309QOHxfkNDVdjpd_uyRv93f71SPbvD6sV7cb5jlYySpE5RUq4bhQDp2XzkRrpbYiVSYZX2le6WCUCMGjTjIFF2UyCo1LgSexJPzXG_s4N12op_n4aj7UCPVPZP1PpPgG3E5GtQ</recordid><startdate>20140513</startdate><enddate>20140513</enddate><creator>Hart, Timothy</creator><creator>Zandbergen, Paul</creator><general>Emerald Group Publishing Limited</general><scope/></search><sort><creationdate>20140513</creationdate><title>Kernel density estimation and hotspot mapping</title><author>Hart, Timothy ; Zandbergen, Paul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2094-7115c5153b235b1bc4b8e994693f78f8c76276d853ddc16f4fdbe4f8518bfd2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; jpn</language><creationdate>2014</creationdate><topic>Criminal justice</topic><topic>Policing</topic><topic>Public policy & environmental management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hart, Timothy</creatorcontrib><creatorcontrib>Zandbergen, Paul</creatorcontrib><jtitle>Policing : an international journal of police strategies & management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hart, Timothy</au><au>Zandbergen, Paul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Kernel density estimation and hotspot mapping</atitle><jtitle>Policing : an international journal of police strategies & management</jtitle><date>2014-05-13</date><risdate>2014</risdate><volume>37</volume><issue>2</issue><spage>305</spage><epage>323</epage><pages>305-323</pages><issn>1363-951X</issn><abstract>Purpose
– The purpose of this paper is to examine the effects of user-defined parameters settings (e.g. interpolation method, grid cell size, and bandwidth) on the predictive accuracy of crime hotspot maps produced from kernel density estimation (KDE).
Design/methodology/approach
– The influence of variations in parameter settings on prospective KDE maps is examined across two types of interpersonal violence (e.g. aggravated assault and robbery) and two types of property crime (e.g. commercial burglary and motor vehicle theft).
Findings
– Results show that interpolation method has a considerable effect on predictive accuracy, grid cell size has little to no effect, and bandwidth as some effect.
Originality/value
– The current study advances the knowledge and understanding of prospective hotspot crime mapping as it answers the calls by Chainey et al. (2008) and others to further investigate the methods used to predict crime.</abstract><pub>Emerald Group Publishing Limited</pub><doi>10.1108/PIJPSM-04-2013-0039</doi><tpages>19</tpages></addata></record> |
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| identifier | ISSN: 1363-951X |
| ispartof | Policing : an international journal of police strategies & management, 2014-05, Vol.37 (2), p.305-323 |
| issn | 1363-951X |
| language | eng ; jpn |
| recordid | cdi_emerald_primary_10_1108_PIJPSM-04-2013-0039 |
| source | Standard: Emerald eJournal Premier Collection; HeinOnline Law Journal Library; Emerald A-Z Current Journals |
| subjects | Criminal justice Policing Public policy & environmental management |
| title | Kernel density estimation and hotspot mapping |
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