More places than crimes: implications for evaluating the law of crime concentration at place
Objectives: The crime and place literature lacks a standard methodology for measuring and reporting crime concentration. We suggest that crime concentration be reported with the Lorenz curve and summarized with the Gini coefficient, and we propose generalized versions of the Lorenz curve and the Gin...
Authors: | ; |
---|---|
Format: | Electronic Article |
Language: | English |
Published: |
2017
|
In: |
Journal of quantitative criminology
Year: 2017, Volume: 33, Issue: 3, Pages: 451-467 |
Online Access: |
Presumably Free Access Volltext (Resolving-System) |
Journals Online & Print: | |
Check availability: | HBZ Gateway |
Keywords: |
MARC
LEADER | 00000caa a2200000 4500 | ||
---|---|---|---|
001 | 156656672X | ||
003 | DE-627 | ||
005 | 20200323161424.0 | ||
007 | cr uuu---uuuuu | ||
008 | 171220s2017 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s10940-016-9324-7 |2 doi | |
035 | |a (DE-627)156656672X | ||
035 | |a (DE-576)496566725 | ||
035 | |a (DE-599)BSZ496566725 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
100 | 1 | |a Bernasco, Wim |d 1961- |e VerfasserIn |0 (DE-588)141339314 |0 (DE-627)703951416 |0 (DE-576)176006451 |4 aut | |
109 | |a Bernasco, Wim 1961- |a Bernasco, Willem 1961- | ||
245 | 1 | 0 | |a More places than crimes |b implications for evaluating the law of crime concentration at place |c Wim Bernasco, Wouter Steenbeek |
264 | 1 | |c 2017 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Objectives: The crime and place literature lacks a standard methodology for measuring and reporting crime concentration. We suggest that crime concentration be reported with the Lorenz curve and summarized with the Gini coefficient, and we propose generalized versions of the Lorenz curve and the Gini coefficient to correct for bias when crime data are sparse (i.e., fewer crimes than places). Methods: The proposed generalizations are based on the principle that the observed crime concentration should not be compared with perfect equality, but with maximal equality given the data. The generalizations asymptotically approach the original Lorenz curve and the original Gini coefficient as the number of crimes approaches the number of spatial units. Results: Using geocoded crime data on two types of crime in the city of The Hague, we show the differences between the original Lorenz curve and Gini coefficient and the generalized versions. We demonstrate that the generalizations provide a better representation of crime concentration in situations of sparse crime data, and that they improve comparisons of crime concentration if they are sparse. Conclusions: Researchers are advised to use the generalized versions of the Lorenz curve and the Gini coefficient when reporting and summarizing crime concentration at places. When places outnumber crimes, the generalized versions better represent the underlying processes of crime concentration than the original versions. The generalized Lorenz curve, the Gini coefficient and its variance are easy to compute. | ||
650 | 4 | |a Gini coefficient | |
650 | 4 | |a Lorenz curve | |
650 | 4 | |a Crime concentration | |
650 | 4 | |a Criminology of place | |
700 | 1 | |a Steenbeek, Wouter |e VerfasserIn |0 (DE-588)1206903910 |0 (DE-627)169315434X |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Journal of quantitative criminology |d New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 |g 33(2017), 3, Seite 451-467 |h Online-Ressource |w (DE-627)320578003 |w (DE-600)2017241-2 |w (DE-576)104082321 |x 1573-7799 |7 nnns |
773 | 1 | 8 | |g volume:33 |g year:2017 |g number:3 |g pages:451-467 |
856 | |u https://link.springer.com/content/pdf/10.1007%2Fs10940-016-9324-7.pdf |x unpaywall |z Vermutlich kostenfreier Zugang |h publisher [open (via page says license)] | ||
856 | 4 | 0 | |u http://dx.doi.org/10.1007/s10940-016-9324-7 |x Resolving-System |3 Volltext |
935 | |a mkri | ||
951 | |a AR | ||
ELC | |a 1 | ||
LOK | |0 000 xxxxxcx a22 zn 4500 | ||
LOK | |0 001 2990439102 | ||
LOK | |0 003 DE-627 | ||
LOK | |0 004 156656672X | ||
LOK | |0 005 20171220094113 | ||
LOK | |0 008 171220||||||||||||||||ger||||||| | ||
LOK | |0 040 |a DE-21-110 |c DE-627 |d DE-21-110 | ||
LOK | |0 689 |a s |a Law of crime concentration | ||
LOK | |0 689 |a s |a Crime and place | ||
LOK | |0 689 |a s |a Lorenz curve | ||
LOK | |0 689 |a s |a Gini coefficient | ||
LOK | |0 689 |a s |a Gini Koeffizient | ||
LOK | |0 689 |a s |a Kriminalgeographie | ||
LOK | |0 852 |a DE-21-110 | ||
LOK | |0 852 1 |9 00 | ||
LOK | |0 935 |a krub | ||
LOK | |0 000 xxxxxcx a22 zn 4500 | ||
LOK | |0 001 3957449189 | ||
LOK | |0 003 DE-627 | ||
LOK | |0 004 156656672X | ||
LOK | |0 005 20210725061642 | ||
LOK | |0 008 210725||||||||||||||||ger||||||| | ||
LOK | |0 035 |a (DE-2619)KrimDok#2021-07-24#2ADE9114CE533720E0DCADC2273BC3EA2D3DCFC6 | ||
LOK | |0 040 |a DE-2619 |c DE-627 |d DE-2619 | ||
LOK | |0 092 |o n | ||
LOK | |0 852 |a DE-2619 | ||
LOK | |0 852 1 |9 00 | ||
LOK | |0 935 |a zota | ||
OAS | |a 1 | ||
ORI | |a SA-MARC-krimdoka001.raw |