similar to: spatstat questions

Dear R users, I am using spatstat to analyze point patterns (tree locations). I would like to import the shapefile with the study area polygons (six total) into R and use it to create the window for the spatstat analysis. I do not simply want to use a rectangle because the study areas spread out over 40000 ha. Any suggestions would be greatly appreciated. Thanks, Charlotte Reemts Charlotte

I am working with transition matrices of sequences of animal behaviours. What I would like to do is parse the original matrices, adjusting row/column order so that the matrix has its main values in blocks surrounding the diagonal. This would cause behaviours involved in functional groupings (e.g. grooming, resting, foraging etc) to appear as blocks. This can be done manually by applying

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`

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 everybody-- I have been playing with my data in spatstat, and what I'd like to present is a basic exploratory spatial analysis. I have used the following code, using a ppp.object called tsdspoints. The code develops the simulations and the envelopes I want, but I don't understand my first plot here, the [tsds.ghat.short$r, tsds.ghat.short$raw]...I cobbled together this code

I've written the function below to simulate the mean 1st through nth nearest neighbor distances for a random spatial pattern using the functions nndist() and runifpoint() from spatsat. It works, but runs relatively slowly - would appreciate suggestions on how to speed up this function. Thanks. --Dale library(spatstat) sim.nth.mdist <- function(nth,nsim) { D <- matrix(ncol=nth,

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

I have a simple problem: I need to load a ERSI shapefile of US states and check whether or not a set of points are within the boundary of these states. I have the shapefile, I have the coordinates but I'm having a great deal of difficulty bringing the two together. The problem is the various GIS packages for R do not play well with each other. sp, shapefiles, maptools, etc all use different

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

Hi I have the following loop and would like to vectorize it. Any ideas if it is possible? Thanks, Rainer Tha Loop: for (i in 2:Result$NoSims) { ppp <- runifpoint(Result$NoPlants) K <- Kest(ppp) Result$LSim[i,] <- sqrt(K$iso / pi) - K$r CM <- (Result$LSim[i,] * Result$LSim[i,]) / abs(K$r[2] - K$r[1]) Result$SigCM[i] <- sum(CM, na.rm=TRUE) print(i) flush.console() }

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

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

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?

I have presence/absence data in the following format: 1 2 3 4 5 6 7 8 9 10 11 12 1 1 1 1 1 1 1 1 1 1 1 1 0 2 1 1 1 1 0 1 1 1 1 1 1 0 3 1 1 1 1 1 1 1 1 1 1 0 1 4 1 1 1 1 1 0 1 1 1 1 0 1 5 1 1 1 1 1 1 1 0 0 1 1 1 6 1 1 1 0 0 1 0 0 1 1 1 1 7 1 1 1 1 0 1 1 0 0 0 1 1 8 1 1 1 1 1 1 1 0 0 0 1 0 9 1 1 1 1 0 0 1 0 0 0 1 1 10 1 1 1 1 1 1 1 0 0 0 0 1 11 1 1 1 1 1 1 1 1 1 0 0 1 12 1 1 1 1 1 0 0 0 1 1 1 1

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

Hi everybody: Could anybody help how I solve the next problem?. I'm doing interpolation maps of tropospheric ozone of my region, and after create it using IDW, and kriging methods, I want from shapefiles (*.shx, *.shp, *.dbf, *.sbx & *.sbn ) create contour over the interpolation maps. Could anybody tell me how do it?. Thanks in advance. ###################################### Antonio

Hello, What are the minimum number of points in a point pattern before a clustering analysis using a Ripley K function loses any meaning? I haven't been able to find much comment in the literature about this --- instead case examples typically use 100-200 points as a minimum. Regards, Sebastian Pucilowski

Hello, I have fitted a Log-Gaussian Cox Process on my data but when I try to use "simulate.kppm" of the spatstat package I get this error: Error in rLGCP(model = model, mu = mu, param = param, ..., win = win) : The spatial domain of the pixel image ?mu? does not cover the simulation window ?win? I've used covariates as im, changed the npixel value of the spatstat options 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