Examining the spatial periodicity of crime in South Africa using Fourier analysis
This paper analyses the periodicity of violent and property crimes committed in Tshwane, South Africa from 2001 to 2006. Conventional monthly, daily and hourly variations in these types of crime are highlighted and then Fourier analysis is introduced as an advanced mathematical technique which is ab...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Breetzke, Gregory D [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: © 2015 Society of South African Geographers 2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: The South African geographical journal - Abingdon : Routledge, Taylor & Francis Group, 1917, 98(2016), 2, Seite 275-288 |
|---|---|
| Übergeordnetes Werk: |
volume:98 ; year:2016 ; number:2 ; pages:275-288 |
| Links: |
|---|
| DOI / URN: |
10.1080/03736245.2015.1028982 |
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OLC1973853299 |
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| 520 | |a This paper analyses the periodicity of violent and property crimes committed in Tshwane, South Africa from 2001 to 2006. Conventional monthly, daily and hourly variations in these types of crime are highlighted and then Fourier analysis is introduced as an advanced mathematical technique which is able to identify periodic peaks or signals of crime contained within a large time-series crime data-set. Specifically, Fourier analysis is used to examine crime periodicities in Tshwane in neighbourhoods stratified by social deprivation. Across most neighbourhood quintiles, there is a notable peak in violent crimes every 7-10 days. That is, every 7-10 days over the 5 years, there is a peak in violent crimes in most neighbourhoods in Tshwane. There is also a marginal peak occurring roughly every 50-60 days in neighbourhood Quintiles 1 (most affluent) and 3 ('middle class'). Similar to violent crimes, the largest consistent periodicity for property crimes was observed across all five neighbourhood quintiles approximately every 7-10 days. A significant peak was also observed in property crime in Quintile 3 ('middle class') roughly every 75 days. Tentative explanations are provided for the results obtained. | ||
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10.1080/03736245.2015.1028982 doi PQ20160610 (DE-627)OLC1973853299 (DE-599)GBVOLC1973853299 (PRQ)c1561-cd725f212728fa58b62d359a8fbc2a8d9c891af47673465b68c31558a66e931b0 (KEY)0076538420160000098000200275examiningthespatialperiodicityofcrimeinsouthafrica DE-627 ger DE-627 rakwb eng 390 ZDB AFRIKA fid 74.00 bkl Breetzke, Gregory D verfasserin aut Examining the spatial periodicity of crime in South Africa using Fourier analysis 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper analyses the periodicity of violent and property crimes committed in Tshwane, South Africa from 2001 to 2006. Conventional monthly, daily and hourly variations in these types of crime are highlighted and then Fourier analysis is introduced as an advanced mathematical technique which is able to identify periodic peaks or signals of crime contained within a large time-series crime data-set. Specifically, Fourier analysis is used to examine crime periodicities in Tshwane in neighbourhoods stratified by social deprivation. Across most neighbourhood quintiles, there is a notable peak in violent crimes every 7-10 days. That is, every 7-10 days over the 5 years, there is a peak in violent crimes in most neighbourhoods in Tshwane. There is also a marginal peak occurring roughly every 50-60 days in neighbourhood Quintiles 1 (most affluent) and 3 ('middle class'). Similar to violent crimes, the largest consistent periodicity for property crimes was observed across all five neighbourhood quintiles approximately every 7-10 days. A significant peak was also observed in property crime in Quintile 3 ('middle class') roughly every 75 days. Tentative explanations are provided for the results obtained. Nutzungsrecht: © 2015 Society of South African Geographers 2015 property crime periodicity social deprivation Tshwane violent crime Violent crime Periodicity Social deprivation Property crime Enthalten in The South African geographical journal Abingdon : Routledge, Taylor & Francis Group, 1917 98(2016), 2, Seite 275-288 (DE-627)129550450 (DE-600)219271-8 (DE-576)015003930 0373-6245 nnns volume:98 year:2016 number:2 pages:275-288 http://dx.doi.org/10.1080/03736245.2015.1028982 Volltext http://www.tandfonline.com/doi/abs/10.1080/03736245.2015.1028982 http://reference.sabinet.co.za/sa_epublication_article/sageo_v98_n2_a5 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-AFRIKA SSG-OLC-ASS SSG-OPC-GGO SSG-OPC-ANG GBV_ILN_11 GBV_ILN_4323 74.00 AVZ AR 98 2016 2 275-288 |
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10.1080/03736245.2015.1028982 doi PQ20160610 (DE-627)OLC1973853299 (DE-599)GBVOLC1973853299 (PRQ)c1561-cd725f212728fa58b62d359a8fbc2a8d9c891af47673465b68c31558a66e931b0 (KEY)0076538420160000098000200275examiningthespatialperiodicityofcrimeinsouthafrica DE-627 ger DE-627 rakwb eng 390 ZDB AFRIKA fid 74.00 bkl Breetzke, Gregory D verfasserin aut Examining the spatial periodicity of crime in South Africa using Fourier analysis 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper analyses the periodicity of violent and property crimes committed in Tshwane, South Africa from 2001 to 2006. Conventional monthly, daily and hourly variations in these types of crime are highlighted and then Fourier analysis is introduced as an advanced mathematical technique which is able to identify periodic peaks or signals of crime contained within a large time-series crime data-set. Specifically, Fourier analysis is used to examine crime periodicities in Tshwane in neighbourhoods stratified by social deprivation. Across most neighbourhood quintiles, there is a notable peak in violent crimes every 7-10 days. That is, every 7-10 days over the 5 years, there is a peak in violent crimes in most neighbourhoods in Tshwane. There is also a marginal peak occurring roughly every 50-60 days in neighbourhood Quintiles 1 (most affluent) and 3 ('middle class'). Similar to violent crimes, the largest consistent periodicity for property crimes was observed across all five neighbourhood quintiles approximately every 7-10 days. A significant peak was also observed in property crime in Quintile 3 ('middle class') roughly every 75 days. Tentative explanations are provided for the results obtained. Nutzungsrecht: © 2015 Society of South African Geographers 2015 property crime periodicity social deprivation Tshwane violent crime Violent crime Periodicity Social deprivation Property crime Enthalten in The South African geographical journal Abingdon : Routledge, Taylor & Francis Group, 1917 98(2016), 2, Seite 275-288 (DE-627)129550450 (DE-600)219271-8 (DE-576)015003930 0373-6245 nnns volume:98 year:2016 number:2 pages:275-288 http://dx.doi.org/10.1080/03736245.2015.1028982 Volltext http://www.tandfonline.com/doi/abs/10.1080/03736245.2015.1028982 http://reference.sabinet.co.za/sa_epublication_article/sageo_v98_n2_a5 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-AFRIKA SSG-OLC-ASS SSG-OPC-GGO SSG-OPC-ANG GBV_ILN_11 GBV_ILN_4323 74.00 AVZ AR 98 2016 2 275-288 |
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Breetzke, Gregory D |
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Breetzke, Gregory D ddc 390 fid AFRIKA bkl 74.00 misc property crime misc periodicity misc social deprivation misc Tshwane misc violent crime misc Violent crime misc Periodicity misc Social deprivation misc Property crime Examining the spatial periodicity of crime in South Africa using Fourier analysis |
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390 ZDB AFRIKA fid 74.00 bkl Examining the spatial periodicity of crime in South Africa using Fourier analysis property crime periodicity social deprivation Tshwane violent crime Violent crime Periodicity Social deprivation Property crime |
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ddc 390 fid AFRIKA bkl 74.00 misc property crime misc periodicity misc social deprivation misc Tshwane misc violent crime misc Violent crime misc Periodicity misc Social deprivation misc Property crime |
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Examining the spatial periodicity of crime in South Africa using Fourier analysis |
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examining the spatial periodicity of crime in south africa using fourier analysis |
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Examining the spatial periodicity of crime in South Africa using Fourier analysis |
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This paper analyses the periodicity of violent and property crimes committed in Tshwane, South Africa from 2001 to 2006. Conventional monthly, daily and hourly variations in these types of crime are highlighted and then Fourier analysis is introduced as an advanced mathematical technique which is able to identify periodic peaks or signals of crime contained within a large time-series crime data-set. Specifically, Fourier analysis is used to examine crime periodicities in Tshwane in neighbourhoods stratified by social deprivation. Across most neighbourhood quintiles, there is a notable peak in violent crimes every 7-10 days. That is, every 7-10 days over the 5 years, there is a peak in violent crimes in most neighbourhoods in Tshwane. There is also a marginal peak occurring roughly every 50-60 days in neighbourhood Quintiles 1 (most affluent) and 3 ('middle class'). Similar to violent crimes, the largest consistent periodicity for property crimes was observed across all five neighbourhood quintiles approximately every 7-10 days. A significant peak was also observed in property crime in Quintile 3 ('middle class') roughly every 75 days. Tentative explanations are provided for the results obtained. |
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This paper analyses the periodicity of violent and property crimes committed in Tshwane, South Africa from 2001 to 2006. Conventional monthly, daily and hourly variations in these types of crime are highlighted and then Fourier analysis is introduced as an advanced mathematical technique which is able to identify periodic peaks or signals of crime contained within a large time-series crime data-set. Specifically, Fourier analysis is used to examine crime periodicities in Tshwane in neighbourhoods stratified by social deprivation. Across most neighbourhood quintiles, there is a notable peak in violent crimes every 7-10 days. That is, every 7-10 days over the 5 years, there is a peak in violent crimes in most neighbourhoods in Tshwane. There is also a marginal peak occurring roughly every 50-60 days in neighbourhood Quintiles 1 (most affluent) and 3 ('middle class'). Similar to violent crimes, the largest consistent periodicity for property crimes was observed across all five neighbourhood quintiles approximately every 7-10 days. A significant peak was also observed in property crime in Quintile 3 ('middle class') roughly every 75 days. Tentative explanations are provided for the results obtained. |
| abstract_unstemmed |
This paper analyses the periodicity of violent and property crimes committed in Tshwane, South Africa from 2001 to 2006. Conventional monthly, daily and hourly variations in these types of crime are highlighted and then Fourier analysis is introduced as an advanced mathematical technique which is able to identify periodic peaks or signals of crime contained within a large time-series crime data-set. Specifically, Fourier analysis is used to examine crime periodicities in Tshwane in neighbourhoods stratified by social deprivation. Across most neighbourhood quintiles, there is a notable peak in violent crimes every 7-10 days. That is, every 7-10 days over the 5 years, there is a peak in violent crimes in most neighbourhoods in Tshwane. There is also a marginal peak occurring roughly every 50-60 days in neighbourhood Quintiles 1 (most affluent) and 3 ('middle class'). Similar to violent crimes, the largest consistent periodicity for property crimes was observed across all five neighbourhood quintiles approximately every 7-10 days. A significant peak was also observed in property crime in Quintile 3 ('middle class') roughly every 75 days. Tentative explanations are provided for the results obtained. |
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Examining the spatial periodicity of crime in South Africa using Fourier analysis |
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