Generate Weight Vector from Flows

Usage

weight_vector(dist_mat, x, weight_col = "count")

Arguments

dist_mat: distance matrix
x: flows tibble with flow_ID and weight_col
weight_col: column to use as weights (default = "count")

Value

numeric weight vector. Each element corresponds to a flow in the distance matrix, and is used as a weight in the DBSCAN clustering algorithm.

Examples

flows <- sf::st_transform(flows_leeds, 3857)
flows <- head(flows, 100) # for testing
# Add flow lengths and coordinates
flows <- add_flow_length(flows)
flows <- add_xyuv(flows)
#> Extracting start and end coordinates from flow geometries...
#> Adding x, y, u, v columns to flow data...
#> Assigning unique flow IDs...
# Calculate distances
distances <- flow_distance(flows, alpha = 1.5, beta = 0.5)
#> Adding coordinates data back onto the unique pairs ...
dmat <- distance_matrix(distances)
wvec <- weight_vector(dmat, flows, weight_col = "count")