Showing 1 – 4 of 4 results.
Curated
Exploratory Spatial Data Approach to Identify the Context of Unemployment-Crime Linkages in Virginia, 1995-2000 (ICPSR 4546)
Released/updated on: 2006-08-31
Geographic coverage: United States, Virginia
Time period: 1995-01-01--2000-01-01
This research is an exploration of a spatial approach to identify the contexts of unemployment-crime relationships at the county level. Using Exploratory Spatial Data Analysis (ESDA) techniques, the study explored the relationship between unemployment and property crimes (burglary, larceny, motor vehicle theft, and robbery) in Virginia from 1995 to 2000. Unemployment rates were obtained from the Department of Labor, while crime rates were obtained from the Federal Bureau of Investigation's Uniform Crime Reports. Demographic variables are included, and a resource deprivation scale was created by combining measures of logged median family income, percentage of families living below the poverty line, and percentage of African American residents.
Curated
Geographies of Urban Crime in Nashville, Tennessee, Portland, Oregon, and Tucson, Arizona, 1998-2002 (ICPSR 4547)
Released/updated on: 2006-08-31
Geographic coverage: Oregon, Portland, United States, Tennessee, Tucson, Nashville, Arizona
Time period: 1998-01-01--2002-01-01
This research involved the exploration of how the geographies of different crimes intersect with the geographies of social, economic, and demographic characteristics in Nashville, Tennessee, Portland, Oregon, and Tucson, Arizona. Violent crime data were collected from all three cities for the years 1998 through 2002. The data were geo-coded and then aggregated to block groups and census tracts. The data include variables on 28 different crimes, numerous demographic variables taken from the 2000 Census, and several land use variables.
Curated
Health Poverty and Place: Modeling Inequalities in Accra Using RS and GIS (ICPSR 36015)
Released/updated on: 2015-06-22
Geographic coverage: Africa, Ghana
This project collects data on geographic differentials in health and mortality in urban Accra, Ghana. It uses remote sensing (RS) and geographic information system (GIS) technology to measure the association of adverse health outcomes with neighborhood ecology, collects observations of physical features and build structures visible from satellite imagery, and assesses additional community-level variables such as social organization and institutions. This study also uses census and survey data on the area. The respondents to the 2003 Accra Women's Health Survey are also re-interviewed on health outcomes.
Curated
Spatial Analysis of Crime in Appalachia [United States], 1977-1996 (ICPSR 3260)
Released/updated on: 2006-03-30
Geographic coverage: United States
Time period: 1977-01-01--1996-01-01
This research project was designed to demonstrate the contributions that Geographic Information Systems (GIS) and spatial analysis procedures can make to the study of crime patterns in a largely nonmetropolitan region of the United States. The project examined the extent to which the relationship between various structural factors and crime varied across metropolitan and nonmetropolitan locations in Appalachia over time. To investigate the spatial patterns of crime, a georeferenced dataset was compiled at the county level for each of the 399 counties comprising the Appalachian region. The data came from numerous secondary data sources, including the Federal Bureau of Investigation's Uniform Crime Reports, the Decennial Census of the United States, the Department of Agriculture, and the Appalachian Regional Commission. Data were gathered on the demographic distribution, change, and composition of each county, as well as other socioeconomic indicators. The dependent variables were index crime rates derived from the Uniform Crime Reports, with separate variables for violent and property crimes. These data were integrated into a GIS database in order to enhance the research with respect to: (1) data integration and visualization, (2) exploratory spatial analysis, and (3) confirmatory spatial analysis and statistical modeling. Part 1 contains variables for Appalachian subregions, Beale county codes, distress codes, number of families and households, population size, racial and age composition of population, dependency ratio, population growth, number of births and deaths, net migration, education, household composition, median family income, male and female employment status, and mobility. Part 2 variables include county identifiers plus numbers of total index crimes, violent index crimes, property index crimes, homicides, rapes, robberies, assaults, burglaries, larcenies, and motor vehicle thefts annually from 1977 to 1996.