filter_clusters {rcrisp} | R Documentation |
Cluster the river crossings and select the shortest crossing per cluster
Description
Create groups of edges that are crossing the river in nearby locations, using a density-based clustering method (DBSCAN). This is to make sure that edges representing e.g. different lanes of the same street are treated as part of the same crossing. For each cluster, select the shortest edge.
Usage
filter_clusters(crossings, river, eps = 100)
Arguments
crossings |
Crossing edge geometries as a simple feature object |
river |
The river geometry as a simple feature object |
eps |
DBSCAN parameter referring to the size (radius) distance of the neighborhood. Should approximate the distance between edges that we want to consider as a single river crossing |
Value
A simple feature geometry including the shortest edge per cluster
[Package rcrisp version 0.1.4 Index]