polycentric_city: DF transform to polycentric urban model
In Geographie-cites/toyspace: bla bla bla

Description Usage Arguments Value Examples

This function allows you to change the origins and destination of flows stored into a dataframe to simulate a polycentric urban model. Cities considered as employment pole and containing railroad station are designed as candidate and flows (destinations only) are moved from non-candidate cities to the nearest candidate cities (using osm network)

1	polycentric_city(pol, idpol, cand, tabflows, idori, iddes, idflow)

`pol`	An sf object of the cities
`idpol`	A character string of the column containing the id of the pol object
`cand`	A character string of the column containing binary (1, 0) candidate value of the pol object (1 must be equal to city considered as employment pole and containing a railroad station)
`tabflows`	A data.frame of flows between origins and destinations (long format matrix containing, at least, origins, destinations, flows)
`idori`	A char
`iddes`	A character string giving the destination field name in tabflows
`idflow`	A character string giving the flow field name in tabflows

A data.frame of flows as tabflows with origins and destinations changed

# Import data

idpol <- "idpol"
cand <- "cand"
data(polL93)
data(tabflows)
iddes <- "DES"
idflow <- "FLOW"

polL93$cand <- sample(0:1, size = nrow(polL93), replace = TRUE)

poly_flows <- polycentric_city (
pol = polL93,
idpol = idpol,
cand = cand,
tabflows = tabflows,
iddes = iddes,
idflow = idflow)

poly_flows[1:10,]