Census tracts in Dallas County, Texas, in the longitude and
latitude format (see proj4string=CRS("+proj=longlat +ellps=WGS84")
).
Attention: Two census tracts do not have a night time population and therefore
NA's in most of their variables. These tracts are the airports of Love Field and DFW
(see tractShp$TRACT=="48113980000" | tractShp$TRACT=="48113980100"
).
Spatial polygon data-frame with 529 census tracts. The variables are as follows:
Internal ID.
Sequence ID of tracts from 1 to 529.
Factor with the Census Bureau's tract numbers.
Calculated area of the census tract in square miles. Proportional to the denominator of the average store weighted kernel density.
Land area of the census tract in square miles.
Water area of the census tract in square miles.
Number of 100x100 meters raster cells within each census tract. Denominator of the average store weighted kernel density in each census tract.
Average weighted kernel density of all stores with a bandwith of 1500 meters. Weights are based on store's food sales volume.
Average weighted kernel density of all stores with a bandwith of 2250 meters. Weights are based on store's food sales volume.
Average weighted kernel density of all stores with a bandwith of 3000 meters. Weights are based on store's food sales volume.
Average weighted kernel density of grocery stores with a bandwith of 2000 meters. Weights are based on store's food sales volume.
Average weighted kernel density of grocery stores with a bandwith of 3000 meters. Weights are based on store's food sales volume.
Average weighted kernel density of grocery stores with a bandwith of 4000 meters. Weights are based on store's food sales volume.
Average weighted kernel density of convenience stores with a bandwith of 1000 meters. Weights are based on store's food sales volume.
Average weighted kernel density of convenience stores with a bandwith of 1500 meters. Weights are based on store's food sales volume.
Average weighted kernel density of convenience stores with a bandwith of 2000 meters. Weights are based on store's food sales volume.
Average low Log-relative risk \(log(bad1000D/good2000D)\).
Average medium Log-relative risk \(log(bad1500D/good3000D)\).
Average high Log-relative risk \(log(bad2000D/good4000D)\).
Factor distinguishing the three putative food desert neighborhood against the remaining census tracts.
Factor distinguishing the 14 putative food desert census tracts against the remaining 515 census tracts.
Factor distinguishing the census tracts in the city of Dallas, the Park cities, North, East, South and West census tracts.
Caliper's estimate of the absolute day time population.
Census's night time population counts in a census tract.
% day time population: \(DAYPOP/(DAYPOP+NIGHTPOP)\).
Population density: \((0.4*DAYPOP+0.6*NIGHTPOP)/LANDAREA\). Relative measure for potential food demand.
Absolute buying power in a census tract in $. Source: IRS 2016 records. Absolute measure for potential food demand.
Census's male population count in a census tract.
Census's female population count in a census tract.
Median population age in a census tract.
% white population in a census tract.
% black population in a census tract.
% asian population in a census tract.
% hispanic population in a census tract.
% of population belonging to a minority.
% of population, which does not speak English well.
% of population 25+ without a high school degree.
% of population 25+ with a univeristy degrees.
% of households not owning a car.
% of employed population taking public transportation to work.
Average travel time to work. Attention: 110 NA's.
% of civilian population without health insurance.
% of population in the labor force, which is unemployed.
% of family below the poverty threshold.
% of population below the poverty threshold.
Median household income in $.
Median family income in $.
Per capita income in $.
% of vacant housing units.
Median home value. Attention: 27 NA's.
% of homes built from 2010 to 2018.
% of homes built from 2000 to 2009.
% of homes built from 1990 to 1999.
% of homes built from 1980 to 1989.
% of homes built from 1970 to 1979.
% of homes built from 1960 to 1969.
% of homes built from 1950 to 1959.
% of homes built from 1940 to 1949.
% of homes built before 1940.
# NOT RUN {
library(maptools)
validTractShp <- tractShp[!is.na(tractShp$BUYPOW), ] # Remove 2 tracts with NA's
mapColorQual(validTractShp$CITYPERI, validTractShp,
map.title="Cities and Peripherie in Dallas County",
legend.title="Regions")
mapColorRamp(validTractShp$bad1500D, validTractShp, breaks=9,
map.title="Density of Convenience Stores in Dallas County\nbw=1500 meters",
legend.title="Junk Food")
hist(tractShp$LRRmedD)
mapBiPolar(validTractShp$LRRmedD, validTractShp, break.value=0,
neg.breaks=5, pos.breaks=5,
map.title="LRR: log(f(junk food),f(healthy food))\nbw=medium",
legend.title="log relative risk")
# }
Run the code above in your browser using DataLab