similar to: Re: using shapefile as owin

Displaying 20 results from an estimated 300 matches similar to: "Re: using shapefile as owin"

2013 Sep 19
3
How do I ensure that the polygon in spatstat::owin(poly=<polygon>) does not have “negative area”
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`
2011 Sep 23
1
spatstat => owin + image
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
2009 Oct 19
1
Spatstat: xy binary data into mask type to use in owin(mask=)
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
2005 Sep 08
1
Using R map data to determine associated state for a coordinate?
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
2017 Jun 01
3
[spatstat] Convert shapefile to pixel image
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
2004 May 29
1
Rhelp: Need help interpreting plots in spatstat
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
2017 Jun 01
0
[spatstat] Convert shapefile to pixel image
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 <-
2010 Mar 15
1
map2poly - map lat/long cannot be unconstrained?
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
2004 Nov 22
1
plot.Map Maptools
Hi, Is there any way to plot a Map with different shading patterns, instead of color intensity, in R2.0.1 over Linux ? Thanks. D ----------------------------------------- Stay ahead of the information curve. Receive GIS news and jobs on your desktop daily. Subscribe today to the GIS CafeNews newsletter. [ http://www10.giscafe.com/nl/newsletter_subscribe.php ] It's informative and
2005 Feb 09
1
FW: Drawing maps of UK
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
2011 Mar 31
0
Help: creating owin{spatstat} objects from GIS data
Dear R list, I'm trying to create an object of class "owin" (observation window) in the package spatstat from GIS mapping data. Here's an example of my problem. Everything goes well until the last line of code. I get the error message shown at the bottom: library(spatstat) library(sp) library(maptools) con <- url("http://gadm.org/data/rda/CHE_adm1.RData") class(con)
2006 Oct 07
3
merge and polylist
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
2004 Sep 22
2
dot density maps
Dear All, In the moment i'm using the map and maptools package to read shapefiles and display the maps. I'm looking for the possibility to draw points (randomly positioned or positioned according to a grid) into the polygons instead of filling the polygons with colors. For example: a map (shapefile) with 10 countries, 15 points in the polygon of country A, 20 points in the
2007 Apr 14
2
Samba -> WinXP: slow transfers, partial solution
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
2010 May 06
1
extracting coordinates from SpatialPolygonsDataFrame using slot functions
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(
2012 Mar 16
1
Spatstat - coordinates in observation window
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)),
2013 Jan 29
1
points rejected as lying outside the specified window
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
2013 Mar 21
3
spatstat error
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
2012 Nov 05
1
Problem with polygon vertices
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]]
2012 Jan 12
2
Points inside a polygon
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