This dataset, columbus_poly, is a data frame containing socioeconomic and housing
characteristics for 49 neighborhoods in Columbus, Ohio, based on 1980 data.
The dataset is widely used in spatial econometrics and geographic analysis.
Usage
data(columbus_poly)Format
A data frame with 49 observations and 22 variables:
- AREA
Area of the neighborhood (numeric)
- PERIMETER
Perimeter of the neighborhood (numeric)
- COLUMBUS.
Identifier variable (integer)
- COLUMBUS.I
Identifier variable (integer)
- POLYID
Polygon ID (integer)
- NEIG
Neighborhood ID (integer)
- HOVAL
Housing value (numeric)
- INC
Household income (numeric)
- CRIME
Crime rate (numeric)
- OPEN
Open space (numeric)
- PLUMB
Plumbing quality (numeric)
- DISCBD
Distance to central business district (numeric)
- X
X coordinate of centroid (numeric)
- Y
Y coordinate of centroid (numeric)
- AREA
Area variable (numeric, duplicated)
- NSA
Neighborhood spatial attribute A (numeric)
- NSB
Neighborhood spatial attribute B (numeric)
- EW
East/West indicator (numeric)
- CP
Central place indicator (numeric)
- THOUS
Thousands of dollars (numeric)
- NEIGNO
Neighborhood number (numeric)
- PERIM
Perimeter variable (numeric, duplicated)
Details
In addition to the attributes, the original dataset also included a polygon list
of neighborhood boundaries, a centroid matrix, and a neighbor list object, although
these are not part of columbus_poly. The matrix bbs is deprecated but
retained in other packages for compatibility.
The dataset name has been kept as columbus_poly to avoid confusion with other datasets
in the R ecosystem. This naming convention helps distinguish this dataset as part of the
lightsf package and assists users in identifying its specific characteristics.
The suffix poly indicates that the dataset can be linked to polygon boundaries.
The original content has not been modified in any way.