Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Оценка численности популяции методом повторных отловов× | Crime Concentration Index× | |
|---|---|---|
| Область≠ | Методология опросов | Criminology |
| Семейство≠ | Regression model | Process / pipeline |
| Год появления≠ | 1978 | 1989 |
| Автор метода≠ | Otis, Burnham, White & Anderson | Lawrence Sherman, Patrick Gartin & Michael Buerger; David Weisburd |
| Тип≠ | Probabilistic population size estimator | Descriptive concentration measure for crime across micro-places |
| Основополагающий источник≠ | Otis, D. L., Burnham, K. P., White, G. C., & Anderson, D. R. (1978). Statistical inference from capture data on closed animal populations. Wildlife Monographs, 62, 3–135. link ↗ | Sherman, L. W., Gartin, P. R., & Buerger, M. E. (1989). Hot spots of predatory crime: Routine activities and the criminology of place. Criminology, 27(1), 27–56. DOI ↗ |
| Другие названия | Mark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala | Crime Concentration at Place, Hot-Spot Concentration Measure, Cumulative Crime Concentration, Law of Crime Concentration |
| Связанные≠ | 2 | 4 |
| Сводка≠ | Capture-recapture (also known as mark-recapture) is a statistical method for estimating the size of an unknown population by sampling it twice and tracking which individuals appear in both samples. Formally systematized for closed animal populations by Otis, Burnham, White, and Anderson in their landmark 1978 Wildlife Monographs paper, the method extends naturally to human populations, epidemiology, and incomplete administrative records. | The crime concentration index quantifies how unevenly crime is distributed across micro-geographic places such as street segments or addresses. Building on Sherman, Gartin, and Buerger's 1989 discovery that a small fraction of addresses produces most calls for police service, and formalized in Weisburd's 2015 'law of crime concentration', it expresses the share of all crime accounted for by the most crime-prone places. |
| ScholarGateНабор данных ↗ |
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