# momepy.DistanceBand¶

class momepy.DistanceBand(gdf, threshold, centroid=True, ids=None)[source]

On demand distance-based spatial weights-like class.

Mimic the behavior of libpysal.weights.DistanceBand but do not compute all neighbors at once but only on demand. Only DistanceBand.neighbors[key] is implemented. Once user asks for DistanceBand.neighbors[key], neighbors for specified key will be computed using rtree. The algorithm is significantly slower than libpysal.weights.DistanceBand but allows for large number of neighbors which may cause memory issues in libpysal.

Use libpysal.weights.DistanceBand if possible. momepy.weights.DistanceBand only when necessary. DistanceBand.neighbors[key] should yield same results as momepy.DistanceBand.

Parameters
gdfGeoDataFrame or GeoSeries

GeoDataFrame containing objects to be used

thresholdfloat

distance band to be used as buffer

centroidbool (default True)

use centroid of geometry (as in libpysal.weights.DistanceBand). If False, works with the geometry as it is.

idsstr

column to be used as geometry ids. If not set, integer position is used.

Attributes
neighbors[key]list

list of ids of neighboring features

Methods

 fetch_items
__init__(gdf, threshold, centroid=True, ids=None)[source]

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

Methods

 __init__(gdf, threshold[, centroid, ids]) Initialize self. fetch_items(key)