# 請問有關 homicide 的簡短翻譯

1.homicide rate per 100,000

2.homicide count

3.police expenditures per capita

4.resource deprivation/affluence composite variable

### 1 個解答

• 1 0 年前
最佳解答

1.每100,000 人殺人律

2.殺人統計

3.國民平均每人支出警察費用

4.資源剝奪/affluence composite variable富裕組合變數

來源是否為

Description

Homicides and selected socio-economic characteristics for counties surrounding St Louis, MO. Data aggregated for three time periods: 1979-84 (steady decline in homicides), 1984-88 (stable period), and 1988-93 (steady increase in homicides).

Type = polygon shape file, unprojected, lat-lon

Observations = 78

Variables = 21

Source

S. Messner, L. Anselin, D. Hawkins, G. Deane, S. Tolnay, R. Baller (2000). An Atlas of the Spatial Patterning of County-Level Homicide, 1960-1990. Pittsburgh, PA, National Consortium on Violence Research (NCOVR).

Variable Description

NAME: county name

STFIPS: state fips code (character)

COFIPS: county fips code (character)

FIPSNO: fips code as numeric variable

HR7984: homicide rate per 100,000 (1979-84)

HR8488: homicide rate per 100,000 (1984-88)

HR8893: homicide rate per 100,000 (1988-93)

HC7984: homicide count (1979-84)

HC8488: homicide count (1984-88)

HC8893: homicide count (1988-93)

PO7984: population total (1979-84)

PO8488: population total (1984-88)

PO8893: population total (1988-93)

PE77: police expenditures per capita, 1977

PE82: police expenditures per capita, 1982

PE87: police expenditures per capita, 1987

RDAC80: resource deprivation/affluence composite variable, 1980

RDAC85: resource deprivation/affluence composite variable, 1985

RDAC90: resource deprivation/affluence composite variable, 1990

Prepared by Luc Anselin

UIUC-ACE Spatial Analysis Laboratory

2007-10-18 07:42:42 補充：

1.每100,000 人殺人率