momepy.
EquivalentRectangularIndex
(gdf, areas=None, perimeters=None)[source]¶Calculates equivalent rectangular index of each object in given geoDataFrame.
GeoDataFrame containing objects
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.
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
Series containing resulting values
original GeoDataFrame
Series containing used area values
Series containing used perimeter values
__init__
(self, gdf, areas=None, perimeters=None)[source]¶Initialize self. See help(type(self)) for accurate signature.
Methods
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Initialize self. |