similar to: mask and reverse the selection

Dear users, I am trying to export polygons from Arcmap into Spatstat to run some simulations using functions available in Spatstat package. One particular area to be exported is formed by a number of polygons defining the external boundaries of the area (as a groups of islands) and a number of polygons inside the previous ones, as ?holes? not to be considered as part of the area. I have

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`

Hello, Say the original type is Integer i16*,&nbsp; I want to create a v16i16* type to replace it. static Type *getVectorPtr(Type *Ty) { &nbsp; &nbsp; PointerType *PointerTy = dyn_cast<PointerType&gt;(Ty); &nbsp; &nbsp; assert(PointerTy &amp;&amp; "PointerType expected"); &nbsp; &nbsp; unsigned addSpace = PointerTy-&gt;getAddressSpace();

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

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

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. I am trying to load the package fSeries, in order to load the package fGarch after. However, it says the following message. > local({pkg <- select.list(sort(.packages(all.available = TRUE))) + if(nchar(pkg)) library(pkg, character.only=TRUE)}) Loading required package: fBasics (Error : ... infinite recursion) Loading required package: fImport Loading required package: fSeries Loading

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)),

Hello, I am using the following code to create ppp files from csv data and map shape files, but I am getting some errors which I have been unable to fix by searching them online: library(spatstat) library(maps) library(maptools) NYC2<-readShapePoly("nybb.shp") # this is a map of the NYC boroughs without waterways and no census tract divisions (but it does include lines separating

Dear Community I am at my wits end and seek advice. My wish is to plot coordinates (x,y in WGS84_UMTS for the ones interested) of sampling points. This I can do by the standard spatstat prodcedure via owin. I then try to add an image, which is a map/satellite photo in the background. Firstly Problem: With the current code, I can not get the edges of the image to match the boarders of the plot

You are welcome. I changed the pattern, the same old error pop up again, crash in the same place. Type set is empty for each HW mode: possible type contradiction in the pattern below (use -print-records with llvm-tblgen to see all expanded records). vtInt: &nbsp; (vt:{ *:[Other] }) UNREACHABLE executed at /home/nancy/work/rpp_clang/llvm/utils/TableGen/CodeGenDAGPatterns.cpp:824!

Hi! I have no idea if this is maybe an easy task utilizing R since I read there is geographical map data in some package: I have a huge number of geographical points with their coordinates in Germany. Now I want to determine for each point in which "Bundesland" = state it is located. Can anybody tell me if this is doable relatively easy in R and if so give me some hints or links

Good day Im working with some coordinates, and want to create a PPP object, I found that error: > Datos=read.table("puntos_texto.txt",dec=".",sep="\t",header=T) > summary(Datos) id y x Min. : 1.0 Min. :1013581 Min. :1177842 1st Qu.: 821.2 1st Qu.:1014442 1st Qu.:1179658 Median

Dear All, Apologies for sending this email to both list, but at this point I'm not sure which one could help me the most. I have 4 sets of data, 1 test and 3 different sets of controls. The measurements are binary, with a matrix of 0 and 1 I'm measuring across time (rows, ~815) the behaviour of organelles in the cell by microscopy in response to different stimuli (several measurements

I am building a mask with area.urb.sp.W <- as(area.urb.sp, "owin") and got the message Erro em owin(poly = opls) : Polygon data contain duplicated vertices, self-intersection and overlaps between polygons how can I solve this problem in R? many thanks IVAN [[alternative HTML version deleted]]

I guess my problem is simple for most of you but I am new with R and I need some help, I have a dataframe : CELLCD AreaProtected 8928 52.39389 8928 41.91511 8929 21.21975 8929 63.65925 8930 26.08547 8930 14.04602 I wouldlike to sum the AreaProtected if it is the same CELLCD in another column : CELLCD AreaProtected SumAreaProtected 8928

def STOREbos { // InstructionEncoding Instruction RPPInst RPPInstMMEMrr &nbsp; field bits<32&gt; Inst = { 0, 0, 0, 1, rs1{2}, rs1{1}, rs1{0}, index{0}, 0, 0, 0, 1, 0, rbase{3}, rbase{2}, rbase{1}, rbase{0}, rbase{4}, roffset{4}, roffset{3}, roffset{2}, roffset{1}, roffset{0}, 0, 0, 0, 0, 0, 0, 0, 0, 0 }; &nbsp; field bits<32&gt; SoftFail = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,

I have a list of bounds for a series of polygons. I do understand the formula to determine whether point i is within polygon X (X[x1] < i[x] & X[x2] > i[x] & X[y1] < i[y] & X[y2] > i[y]), and I can apply this throughout the dataset. However, this naive algorithm doesn't scale very well. The data set contains 10,000 points consisting of (n,e) pairs where I'm