momepy.Blocks#

class momepy.Blocks(tessellation, edges, buildings, id_name, unique_id, **kwargs)[source]#

Generate blocks based on buildings, tesselation and street network.

Dissolves tessellation cells based on street-network based polygons. Links resulting id to buildings and tesselation as attributes.

Parameters
tessellationGeoDataFrame

GeoDataFrame containing morphological tessellation

edgesGeoDataFrame

GeoDataFrame containing street network

buildingsGeoDataFrame

GeoDataFrame containing buildings

id_namestr

name of the unique blocks id column to be generated

unique_idstr

name of the column with unique id. If there is none, it could be generated by momepy.unique_id(). This should be the same for cells and buildings, id’s should match.

Examples

>>> blocks = mm.Blocks(tessellation_df, streets_df, buildings_df, 'bID', 'uID')
>>> blocks.blocks.head()
    bID     geometry
0   1.0     POLYGON ((1603560.078648818 6464202.366899694,...
1   2.0     POLYGON ((1603457.225976106 6464299.454696888,...
2   3.0     POLYGON ((1603056.595487018 6464093.903488506,...
3   4.0     POLYGON ((1603260.943782872 6464141.327631323,...
4   5.0     POLYGON ((1603183.399594798 6463966.109982309,...
Attributes
blocksGeoDataFrame

GeoDataFrame containing generated blocks

buildings_idSeries

Series derived from buildings with block ID

tessellation_idSeries

Series derived from morphological tessellation with block ID

tessellationGeoDataFrame

GeoDataFrame containing original tessellation

edgesGeoDataFrame

GeoDataFrame containing original edges

buildingsGeoDataFrame

GeoDataFrame containing original buildings

id_namestr

name of the unique blocks id column

unique_idstr

name of the column with unique id

__init__(tessellation, edges, buildings, id_name, unique_id, **kwargs)[source]#

Methods

__init__(tessellation, edges, buildings, ...)