momepy.EquivalentRectangularIndex¶

class momepy.EquivalentRectangularIndex(gdf, areas=None, perimeters=None)[source]¶

Calculates equivalent rectangular index of each object in given geoDataFrame.

\[\sqrt{{area} \over \textit{area of bounding rectangle}} * {\textit{perimeter of bounding rectangle} \over {perimeter}}\]

Parameters

gdfGeoDataFrame

GeoDataFrame containing objects

areasstr, list, np.array, pd.Series (default None)

the name of the dataframe column, np.array, or pd.Series where is stored area value. If set to None, function will calculate areas during the process without saving them separately.

perimetersstr, list, np.array, pd.Series (default None)

the name of the dataframe column, np.array, or pd.Series where is stored perimeter value. If set to None, function will calculate perimeters during the process without saving them separately.

References

Basaraner M and Cetinkaya S (2017) Performance of shape indices and classification schemes for characterising perceptual shape complexity of building footprints in GIS. 2nd ed. International Journal of Geographical Information Science, Taylor & Francis 31(10): 1952–1977. Available from: https://www.tandfonline.com/doi/full/10.1080/13658816.2017.1346257.

Examples

>>> buildings_df['eri'] = momepy.EquivalentRectangularIndex(buildings_df, 'area', 'peri').series
100%|██████████| 144/144 [00:00<00:00, 895.57it/s]
>>> buildings_df['eri'][0]
0.7879229963118455

Attributes

seriesSeries

Series containing resulting values

gdfGeoDataFrame

original GeoDataFrame

areasSeries

Series containing used area values

perimetersSeries

Series containing used perimeter values

__init__(self, gdf, areas=None, perimeters=None)[source]¶

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(self, gdf[, areas, perimeters])

Initialize self.