spatial.join.locs: Spatial join; join information of a shape to the points that...

In boukepieter/AnalDTM: Providing Some Specific Analyzing Functions For The IOM DTM Database

Description

Spatial join; join information of a shape to the points that it contains

Usage

spatial.join.locs(points, shapes, targetcolumn, column.names)

Arguments

points	a SpatialPointsDataFrame. Projection cannot be unknown.
shapes	a SpatialPolygonsDataFrame. Projection cannot be unknown.
targetcolumn	a character string vector with the names of the columns in shapes which need to be joined to points.
column.names	a character string vector with the column names that will be given to the joined columns added to points.

Value

It returns the points spdf with the new columns joined to the data.frame.

Examples

pts = cbind(1.5:5.5, 1.5:5.5)
dimnames(pts)[[1]] = letters[1:5]
df = data.frame(a = 1:5)
row.names(df) = letters[5:1]
points <- SpatialPointsDataFrame(pts, df, match.ID = TRUE)

grd <- GridTopology(c(1,1), c(1,1), c(10,10))
polys <- as(grd, "SpatialPolygons")
centroids <- coordinates(polys)
x <- centroids[,1]
y <- centroids[,2]
z <- 1.4 + 0.1*x + 0.2*y + 0.002*x*x
pols <- SpatialPolygonsDataFrame(polys,
                                 data=data.frame(x=x, y=y, z=z, row.names=row.names(polys)))
result <- spatial.join.locs(points, pols)

boukepieter/AnalDTM documentation built on June 18, 2019, 12:33 a.m.