flowreduct {cartograflow} | R Documentation |
Reduces a flow dataset according to an external matrix, eg. a matrix of travelled distance.
Builds geographical movements, by weighting a flow dataset according to a distance criterion.
flowreduct(tab, tab.metric, metric, d.criteria, d)
tab |
is the input flowdata set |
tab.metric |
the distance dataset |
metric |
select "continuous" or "ordinal" metric. See Details |
d.criteria |
is for selecting "dmin" or "dmax" distance criteria for "continuous" metric. See Details. |
d |
is the value of the selected "dmin" or "dmax". see Details |
The involved metric can be continous or not.
(1) Metric is 'continous" for distance as euclidian, maximum, manhattan, etc.
See flowdist
- Metric is 'ordinal" for computing neighbourhood ordinal distance matrix.
– Select ="dmin" for reducing flow dataset to flow values that are up or equal to the dmin distance parameter (Fij>=dmin);
– select ="dmax" for reducing flow dataset to values that are less or equal to the dmax distance parameter(Fij=<dmin).
- Metric is 'ordinal' for computing neighbourhood ordinal distance with k contiguity.
See flowcontig for computing ordinal distance matrix
A flow dataset with distances computations and flow reduction
library(cartograflow) library(sf) library(dplyr) data(flowdata) map <- st_read(system.file("shape/MGP_TER.shp", package = "cartograflow")) tab <- flowjointure( geom = "area", bkg = map, DF.flow = flows, origin = "i", destination = "j", id = "EPT_NUM", x = "X", y = "Y" ) # Example for reducing a flow matrice with a distance matrice, in long format (i,j, distance) ## 1/2: Computes the matrice distances tab.distance <- flowdist(tab, dist.method = "euclidian", result = "dist") tab.distance <- tab.distance %>% select(i, j, distance) ## 2/2: Reduce the flow matrice tab.flow <- flowreduct(flows, tab.distance, metric = "continous", d.criteria = "dmax", d = 8567 )