This course uses the following datasets as examples. Most of them are data available from public sources, although it is possible to download them from the course repository for convenience.
houston_tract_pop_emp_wgs84.shp
: polygon shapefile with Census Tracts in the
Houston metropolitan area. The attribute table includes the following
variables:
AREA
: area of the tractGEOID
: unique tract identifierdcbd
: distance to the CBD, defined as the location of the city hallemp
: number of employees whose work location is within the tract.
Calculated from firm-level data (not available)emp_dens
: employment density, calculated as emp / AREA
hu
: number of housing units as reported in the 2000 Censuspop
: residential population as reported by 2000 Censuspop_dens
: population density, calculated as pop / AREA
downtown
: binary variable taking 1
if the tract is located downtown
and 0
if the tract is in the suburbsmajor_hwys.shp
: line shapefile with the major highways crossing the
Houston metropolitan area houston_counties.csv
: text file with a column (GEOID
) for the
tract identifier and another one (COUNTY
) with the country each tract
belongs tohou_firms.csv
: text file with an identifier column and the latitude and
longitude of 100 firms randomly selected in the Houston areaHouston_pop00.csv
: text file with the following variables for the census
tracts in the Houston metropolitan area (same as in
houston_tract_pop_emp_wgs84
):
USPS
: state of the tractGEOID
: unique tract identifierPOP00
: residential population as reported by 2000 CensusHU00
: number of housing units as reported in the 2000 CensusALAND
: land areaAWATER
: water areaALAND_SQMI
: land area in sq. milesAWATER_SQMI
: water area in sq. milesINTPTLAT
INTPTLONG
COUNTY
: county where the tract isdcbd
: distance to the CBD, defined as the location of the city hallcountycode
: county codestatecode
: state codetract00
: alternative tract IDAlthough the original source is the US Census Bureau for most of these
datasets, houston_tract_pop_emp_wgs84.shp
, major_hwys.shp
and
hou_firms.csv
were kindly assembled and contributed by Janet Kohlhasse from the University of Houston. This is very much appreciated.