similar to: Using R map data to determine associated state for a coordinate?

My sincerest apologies, as this is a very elementary problem, but I have searched through archives and FAQs and on the web, and I am at the end of my own resources. I need to do analysis of a spatial point process occuring with four counties, using spatstat. I've had no trouble importing the shapefiles, but I can't seem to figure out what I need to do in order to use the boundary as an

I am a very new user of R (ver 2.2.1 & Windows XP) I would like to see if I can plot some simple data (Number of people in certain regions of Canada and within Ontario and Quebec. Can anyone suggest a) a souce of Canadian maps and b) some simple worked examples of using maps. At the moment I have managed to load the map and mapdata libraries but that is about the extend of my knowledge.

I'm using ssplot for drawing a map of Austria and colour the nine provinces regarding their share of employment. Now I wanted to add the figures in each province and failed miserably. Using the locator() and text() function caused the error message "invalid graphics state". I try to show you what I have done below, maybe you can find a general fault in my codes. I know that it's

I would like to use the output from the map function in the package maps for use in, say, the spatstat package. I don't quite understand the coordinates for the border of the state: Example: library(maps) iowa<-map("region","iowa) x<-iowa$x y<-iowa$y There are NA's and duplicated coordinates. What would I need to do to use this in the spatstat owin command?

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(

Dear R users, I wish to run spatial point pattern analysis (e.g. pair correlation function, mark correlation function) for which I need to create an observation window (window=owin) from which the spatial analysis is generated. The command I used to create this observation window as follows: X1<- ppp(x, y, window=owin(c(80.58,144.96),c(101.06,165.13)),

dear R-tists, i want to graph information for the German Federal States (Bundeslaender) using the maps package. unfortunately there is no maps for the German Bundeslaender. does anyone have an idea / a source where to get map data that can be used in the maps package that graphs structures below the country level. in the long run it would also be interesting to integrate Swiss Cantons and

Hi Guys Thanks for this! As I am a beginner, I bet I'm running into some really basic problems. Using the example from the Map2poly function in maptools: try <- read.shape("euadmll.shp") mappolys <- Map2poly(try) # this produces 14 warnings() of the type: # 1: level 2 circularity at 62 in: .mtlbuild(.mtafters(r1), rD) # etc # 14: From next release, default hole handling

Using the maptools function "map2poly" I have created a map/polylist object - a map of the Great Lakes. My goal is to passively plot additional data on this map. Unfortunately I am not able to change (distort) the relative scale of the axes for the map, and so the sample points do not line up correctly on the map. In the code below, notice that I have set the same axis ranges on each

Dear R-listers, I am using R for Windows Vista 64-bit. I have no experience working with maps, but now I have to plot a map of Denmark in which each Danish county is color-coded according to its incidence rate of a particular disease. My problem is that I don't know where to start. I have read the help files to packages like 'mapplot', and their examples indicate that I am on the

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

I am a new user of the R spatstat package and am having problems creating a polygonal observation window with owin(). Code follows: library("maps") library ("sp")` library("spatstat") mass.map <- map("state", "massachusetts:main", fill=T) # This returns a data frame includding x and y components that form a polygon of massachusetts mainland`

Hi, Attached patch tells the linker where to find libxenctrl.so.3.2, libxenguest.so.3.2 and libxenstore.so.3.0 when launching qemu-dm. Signed-off-by: Christoph Egger <Christoph.Egger@amd.com> -- AMD Saxony, Dresden, Germany Operating System Research Center Legal Information: AMD Saxony Limited Liability Company & Co. KG Sitz (Geschäftsanschrift): Wilschdorfer Landstr.

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 <-

Hello All, I'm running Samba 3.0.24 as PDC and file server on Gentoo Linux, AMD64, 2.6.19 kernel, 100MBit/s network, and experience quite slow file transfers from Samba to WinXP SP2 clients: the speed is varying, but is about 1-2Mb/s at best. I spent quite some time investigating the issue, here are the intermediate results: 1) This happens only when transferring _from_ _Samba_ to

Hi all, who knows how to get an ESRI Shapefile for the NUTS-2 Regions of the enlarged European Union? Particularly I want to draw maps of Germany, Poland, Czech Republik, Hungary and Austria. I've found Shapefiles for the US, Russia and other countries elsewhere in the web, but for Europe it seems really difficult. With many thanks for any hint Albrecht

Hi! Attached patch makes git-ioemu compile on NetBSD. Signed-off-by: Christoph Egger <Christoph.Egger@amd.com> P.S.: I''m about sending the pieces to qemu-devel. The changes in vl.c already went upstream in qemu''s svn c/s 5646. -- AMD Saxony, Dresden, Germany Operating System Research Center Legal Information: AMD Saxony Limited Liability Company & Co. KG Sitz

Hi! On BSD, mmap()ing files works on on-disk files but not on pseudo filesystems like kernfs or procfs. Therefore, attached patch mmap()s anonymous memory. Linux equivalents are sysfs and procfs to above BSD''s pseudo-filesystems. On Linux, mmap is implemented for sysfs but it is questionable to me how write operations work since (most) files in sysfs have static content. So this patch

Imagine that I have a large number of points (given by coordinates x and y) that vary in density per space. For the purpose of demonstration it could be generated like this: s <- data.frame(x=runif(10000,0,900),y=runif(10000,0,900)); plot(s) I want to create polygons around the points where point density is greater than a selected threshold (for example, by using krieging or equivalent

Keir, I noticed that a Shadow patch went into the 3.1.1 staging tree today. Does this mean that we should expect a 4th release candidate before the 3.1.1 release tag is official? If so - how much testing time are you going to give that release candidate before deciding whether a release tag, or another RC round is appropriate? Ben Guthro _______________________________________________