Hi Angel,
We cannot reproduce your problem as we dont have access to your files,
but it seems only one of the objects in your over-command is projected
(border). Probably it will work better if you set proj4string also for
pts1.
Cheers,
Jon
On 10/24/2014 5:12 PM, Angel Ferrero wrote:
Hi everyone,
I am new to doing this kind of thing in R, but I have been trying to perform
co-kriging for a set of datapoints in relation to climate from the worldclim
project based on a previous example I found using the meuse shp.
This is my code, and at the end of it, you can see the error I get:
identicalCRS(x, y) is not TRUE after using the over() command.
I would appreciate if anybody could help me out this this.
Best
Ángel
#Let's first create a prediction grid for the interpolation, starting from the
shape file
setwd(“*")
data<-read.table(“/*",header=T)
coordinates(data)=~long+lat
proj4string(data)=CRS("+proj=longlat +ellps=WGS84 +datum=WGS84")
border0<-readOGR("country.shp","country")
border <- spTransform(border0, CRS("+proj=longlat +ellps=WGS84 +datum=WGS84"))
proj4string(border)=CRS("+proj=longlat +ellps=WGS84 +datum=WGS84")
bio <- getData("worldclim", var="bio", res=10) # this will download global
data on minimum temperature at 10 min resolution
# can also get other climatic data, elevation, administrative boundaries, etc
bio1 <- raster(“*/wc10/bio1.bil") # Tmin for January
fromDisk(bio1) # values are stored on disk instead of memory! (useful for
bio1 <-bio1/10 # Worldclim temperature data come in decimal degrees
bio1
proj4string(bio1)=CRS("+proj=longlat +ellps=WGS84 +datum=WGS84")
data <- spTransform(data, CRS("+proj=longlat +ellps=GRS80"))
border <- spTransform(border, CRS("+proj=longlat +ellps=GRS80"))
vals <-border@bbox
deltaLong <- as.integer((vals[1,2] - vals[1,1]) + 1.5)
deltaLat <- as.integer((vals[2,2] - vals[2,1]) + 1.5)
gridRes <-20 #change this value to change the grid size (in metres)
gridSizeX <- deltaLong / gridRes
gridSizeY <- deltaLat / gridRes
grd <- GridTopology(vals[,1],c(gridRes,gridRes),c(gridSizeX,gridSizeY))
pts <- SpatialPoints(coordinates(grd))
pts1 <- SpatialPointsDataFrame(as.data.frame(pts),
data=as.data.frame(rep(1,nrow(as.data.frame(pts)))))
Over=over(pts1,border)
pts$border=Over
espinete<-na.exclude(as.data.frame(pts1))
coordinates(nona)=~x+y
gridded(espinete) <- TRUE
proj4string(espinete)=CRS("+proj=longlat +ellps=GRS80")
writeAsciiGrid(nona,"prediction_grid.asc")
When I run the
Over=over(pts1,border)
command, I get this error:
Error: identicalCRS(x, y) is not TRUE
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Jon Olav Skøien
Joint Research Centre - European Commission
Institute for Environment and Sustainability (IES)
Climate Risk Management Unit
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