df_to_SpatialPolygons: Convert data frame to SpatialPolygons

In FRK: Fixed Rank Kriging

Convert data frame to SpatialPolygons

Description

Convert data frame to SpatialPolygons object.

Usage

df_to_SpatialPolygons(df, keys, coords, proj)

Arguments

df	data frame containing polygon information, see details
keys	vector of variable names used to group rows belonging to the same polygon
coords	vector of variable names identifying the coordinate columns
proj	the projection of the SpatialPolygons object. Needs to be of class CRS

Details

Each row in the data frame df contains both coordinates and labels (or keys) that identify to which polygon the coordinates belong. This function groups the data frame according to keys and forms a SpatialPolygons object from the coordinates in each group. It is important that all rings are closed, that is, that the last row of each group is identical to the first row. Since keys can be of length greater than one, we identify each polygon with a new key by forming an MD5 hash made out of the respective keys variables that in themselves are unique (and therefore the hashed key is also unique). For lon-lat coordinates use proj = CRS("+proj=longlat +ellps=sphere").

Examples

library(sp)
df <- data.frame(id = c(rep(1,4),rep(2,4)),
                 x = c(0,1,0,0,2,3,2,2),
                 y=c(0,0,1,0,0,1,1,0))
pols <- df_to_SpatialPolygons(df,"id",c("x","y"),CRS())
## Not run: plot(pols)

FRK documentation built on Sept. 11, 2024, 7:14 p.m.