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I succeeded thanks to the eblonde in the disscution (problem with polygon smoothing in R) to smoothing polygons in R.


inter1= read.table("c:/inter2.csv", header=TRUE)
#add a category (required for later rasterizing/polygonizing)
inter1 <- cbind(inter1, 
                = rep(1L, nrow(inter1)),stringsAsFactors = FALSE)

#convert to spatial points
coordinates(inter1) = ~long + lat

#gridify your set of points
gridded(inter1) <- TRUE

#convert to raster
r <- raster(inter1)

#convert raster to polygons
sp = rasterToPolygons(r, dissolve = T)
# Splining a polygon.
#   The rows of 'xy' give coordinates of the boundary vertices, in order.
#   'vertices' is the number of spline vertices to create.
#              (Not all are used: some are clipped from the ends.)
#   'k' is the number of points to wrap around the ends to obtain
#       a smooth periodic spline.
#   Returns an array of points. 
spline.poly <- function(xy, vertices, k=3, ...) {
  # Assert: xy is an n by 2 matrix with n >= k.

  # Wrap k vertices around each end.
  n <- dim(xy)[1]
  if (k >= 1) {
    data <- rbind(xy[(n-k+1):n,], xy, xy[1:k, ])
  } else {
    data <- xy

  # Spline the x and y coordinates.
  data.spline <- spline(1:(n+2*k), data[,1], n=vertices, ...)
  x <- data.spline$x
  x1 <- data.spline$y
  x2 <- spline(1:(n+2*k), data[,2], n=vertices, ...)$y

  # Retain only the middle part.
  cbind(x1, x2)[k < x & x <= n+k, ]

#addition transformation to distinguish well the set of polygons
polys <- slot(sp@polygons[[1]], "Polygons")
output <- SpatialPolygons(
  Srl = lapply(1:length(polys),
                 p <- polys[[x]]

                 #applying spline.poly function for smoothing polygon edges
                 px <- slot(polys[[x]], "coords")[,1]
                 py <- slot(polys[[x]], "coords")[,2]
                 bz <- spline.poly(slot(polys[[x]], "coords"),40, k=3)
                 bz <- rbind(bz, bz[1,])
                 slot(p, "coords") <- bz               

                 # create Polygons object
                 poly <- Polygons(list(p), ID = x)
  proj4string = CRS("+init=epsg:4326")

par(mar = c(0, 0, 0, 0))
Al = readShapeLines("DZA_adm0.shp")
plot(Al, col = "gray")
#plot(sp, border = "gray", lwd = 2) #polygonize result
plot(output, border = "red",  add = TRUE) #smoothed polygons

My problem now I need to be represented on a map, in fact I'm looking methodology to clear the area outside my shapefiles. Is that possible to do in R?

enter image description here

marked as duplicate by Andre Silva, whyzar, Hornbydd, ArMoraer, xunilk Jan 4 '18 at 17:23

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

  • 3
    You need to clip the polygon. You can easily do this via "gIntersection" in the rgeos package. – Jeffrey Evans Oct 15 '14 at 15:26
  • it'ss possible to make the intersection between a polygon and shapefiles?how I should proceed? – zina_GIS Oct 15 '14 at 17:41

You can do a spatial intersection between your two datasets ("Al", "output") with the following code:

inter = gIntersection(Al, output, byid=T, drop_not_poly=T)

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