similar to: how to get points from SpatialPolygonsDataFrame

I have obtained shapefiles for Indian states from here: http://www.maptell.com/index.php?option=com_remository&Itemid=159&func=fileinfo&filecatid=115&parent=category Problem: I want to extract centroid coordinates for each State, but there is some coding problem with the shapefiles that prevents this. #Code: #After extracting the shapefiles from the india_state.zip file, then:

Dear List, I'm trying to use different R packages for my Teaching Assistantship classes. And I cam out to an (apparently) very simple problem. I would like to retrieve the vertices coordinate of a SpatialPolygon data. I know this is stored in the "coords" slot, but I can't get access to it! I tried to coerce the SpatialPolygon into a data.frame but it doesn't work.

I'm hoping that someone could guide me in how to extract data from shapefiles. I want to extract data from a shapefile (classed as "SpatialPolygonsDataFrame") and more specifically, the data is contained within the slot called "coords" from the class "polygons" within this file and despite my best efforts (and much reading!), I'm at a lost. Many thanks, Kate

Dear listers, I am working since a while with the sp package and still wonder how the plot methods are managed with sp spatial objects. For instance, SpatialPolygonsDataFrame objects have obviously a plot method. However it cannot be found in the list provided by methods(plot) . Furthermore ?plot.SpatialPolygonsDataFrame, nor ?plot.SpatialPolygons, etc.. provide a help, though the lattice

Greetings: I would like to kindly ask for a little help. The rough code is: #________________________________________________________ dat=data.frame(read.delim(file="all.txt", header = TRUE, sep = "\t", quote="\"", dec=".",na.strings = "NA")) nc=read.shape("astae.shp", dbf.data=TRUE, verbose=TRUE) mappolys=Map2poly(nc) submap

I am trying to rasterize a SpatialPolygon object by a RasterBrick object. The documentation of the raster::rasterize function explicitly says this is allowed. Here's what I am doing # load the raster package library("raster") # create a raster brick object using the example from the brick function documentation b <- brick(system.file("external/rlogo.grd",

Dear Roger, I am trying to use the write.polylistShape() function of maptools for the first time and realize that it handles list of polygons of class 'polylist'. However, it seems that no as.polylist() function exist in the package. The question behind that is: in your opinion, which would be the best way to convert a list of matrix of polygon nodes coordinates into an object of

Hi, I have a matrix of data which i can vizualize as an image - for example. I would like to save this image as a geotiff file or at a tiff file with a world file which holds the projection of my data (ultimately the data represent a map of some sort). I know i can save the data as an ESRI grid, but i am not interested in that. I wonder if anybody knows about any code which will help me do

Now I have the forest plot data with x, y locations, and I measured the DBH for every indivicuals. The data looks like that: x=runif(100,0,100) y=runif(100,0,100) dbh=runif(100,1,100) rdata=data.frame(x,y,dbh) > rdata[1:5,] x y dbh 1 99.5354145 1.412844 34.10112 2 0.8259361 87.737036 39.12914 3 6.5678613 65.699032 22.55990 4 67.2987881 72.053877 45.83978 5 2.2491372

Dear all, I'd like to change a point pattern to a grid of cells and use one of the variables as the output. e.g. The point pattern is of a window of (500*500) and several features such as pH, SoilType etc. I like to divide it into a grid with cell size 5*5, and use the mean of the point values falling inside the cell as the output. Is there any package in R working with this? Thanks in

I have just learned how to play with map, but something weird (or not) is happening. Suppose I want to draw a map of two countries (that have disconnected components), like Argentina and Brazil. If I command: library(maps) library(mapdata) map("worldHires", c("Argentina", "Brazil")) It works fine. However, if I want to _colour_ the interior:

hi all, I have a plot to which i would like to add text labels. And i cant find a way...here is the code : enaD2<-idw(D2~1, loca=dva, newdata=grd) pts = list("sp.points", dva, pch = 20, cex=1.5, col = "darkred spplot(enaD2, "var1.pred",sp.layout=pts, main = "globina 60 cm", sub="D2",

Greetings! I am trying plot some data on a map in R. Here's the scenario. I have a variable called probworkinghealthy which contains a predicted probability of employment for every individual in my sample (about 100,000 observations). I have another variable, called a001ter, which contains the subject of residency in the Russian Federation (akin to a US state) for every individual in the

Gracias Beatriz, efectivamente, lo que indicas en tu ejemplo es lo que obtengo al final de mi proceso. En todo caso pruebo tu opción con mis datos, si es como imagino seguro que es más rápida de montar y más elegante que tratar el resultado de un sink() (recuerdo que en su momento lo intenté con fotify pero no supe bien como atacarlo, no conocía el enlace que me mandas, por tanto lo pruebo de

Oscar, al final no he podido esperar hasta mañana Con: library(maptools)library(sp) poligonos <- readShapeLines("C:\\...\\DATOS\\MUNICIPIO.shp") sink("C:\\ ... \\DATOS\\MUNICIPIO.csv") coordinates(poligonos) Consigo un fichero con la suficiente estructura para tratarlo fácilmente y de una tacada montar la tabla .csv tal y como he indicado en un correo anterior Necesito el

Dear all, I am currently working with the spatstat package, using windows and pixel images. First: My aim is to transform a shapefile (see attached) into a pixel image. My idea is to start transforming the shapefile into a Spatial Polygon file: x <- readShapeSpatial("200001441.shp") y <- as(x, "SpatialPolygons") z <- as.owin(y) Given z, I want to identify each

In converting some older code: ## builds an OWIN to generate a set of points on a grid within the OWIN object: bdry <- read.shape( "../../data/boundary.shp" ) outline.verts <- bdry$Shapes[[2]]$verts[1:bdry$Shapes[[2]]$Pstart[2],] outline.order <- nrow( outline.verts ) : 2 bdry.poly <- vector( 2, mode="list" ) bdry.poly[[1]] <- list(

Hi. For a spatial analysis (its visualization) I need to produce a map of conditions and traits. When I used SpatialPixelsDataFrame (sp package) my grid cells were regular and between each row was a small gap, which is not only messy but incorrect. So I generated the coords of each grid from the centroids in order to elongate the cells manually (or does anybody know another way to solve this?).

On 02/06/17 01:17, Lluis.Hurtado at uv.es wrote: > Dear all, > > I am currently working with the spatstat package, using windows and pixel images. > > First: > > My aim is to transform a shapefile (see attached) into a pixel image. > > My idea is to start transforming the shapefile into a Spatial Polygon file: > > x <-

Dear friends of lme, After so many year with lme, I feel ashamed that I cannot get this to work. Maybe it's a syntax problem, but possibly a lack of understanding. We have growth curves of new dental bone that can well be modeled by a linear growth curve, for two different treatments and several subjects as random parameter. By definition, newbone is zero at t=0, so I tried to force the