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.
data(columbus_poly)A data frame with 49 observations and 22 variables:
Area of the neighborhood (numeric)
Perimeter of the neighborhood (numeric)
Identifier variable (integer)
Identifier variable (integer)
Polygon ID (integer)
Neighborhood ID (integer)
Housing value (numeric)
Household income (numeric)
Crime rate (numeric)
Open space (numeric)
Plumbing quality (numeric)
Distance to central business district (numeric)
X coordinate of centroid (numeric)
Y coordinate of centroid (numeric)
Area variable (numeric, duplicated)
Neighborhood spatial attribute A (numeric)
Neighborhood spatial attribute B (numeric)
East/West indicator (numeric)
Central place indicator (numeric)
Thousands of dollars (numeric)
Neighborhood number (numeric)
Perimeter variable (numeric, duplicated)
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.