momepy.FractalDimension¶

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

Calculates fractal dimension of each object in given geoDataFrame.

\[{2log({{perimeter} \over {4}})} \over log(area)\]

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

McGarigal, K., & Marks, B. (1995). FRAGSTATS: spatial pattern analysis program for quantifying landscape structure.

Examples

>>> buildings_df['fractal'] = momepy.FractalDimension(buildings_df, 'area', 'peri').series
100%|██████████| 144/144 [00:00<00:00, 3928.09it/s]
>>> buildings_df.fractal[0]
1.0726778567038908

Attributes

seriesSeries

Series containing resulting values

gdfGeoDataFrame

original GeoDataFrame

perimetersSeries

Series containing used perimeter values

areasSeries

Series containing used area 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.