Calculates the weighted number of blocks
Number of blocks within neighbours defined in spatial_weights.
Adapted from [DPR+17].
GeoDataFrame containing morphological tessellation
the name of the objects dataframe column, np.array, or pd.Series where is stored block ID.
spatial weights matrix
name of the column with unique id used as spatial_weights index
return value weighted by the analysed area (True) or pure count (False)
if True, shows progress bars in loops and indication of steps
>>> sw4 = mm.sw_high(k=4, gdf='tessellation_df', ids='uID')
>>> tessellation_df['blocks_within_4'] = mm.BlocksCount(tessellation_df, 'bID', sw4, 'uID').series
Series containing resulting values
Series containing used block ID
Series containing used unique ID
used weighted value
Initialize self. See help(type(self)) for accurate signature.
__init__(gdf, block_id, spatial_weights, …)