Re: [R-sig-Geo] Create pixels neighborhood in a raster [solved]
A quick-and-dirty all spatstat solution:
library(spatstat)
eps <- 10
x <- pixellate(ants, eps = eps)
x[x>0] <- 1
y <- 0*x
s <- eps*c(-1,0,1)
for(i in s){
for(j in s){
y <- y + shift.im(x, vec = c(i,j))
}
}
z <- y
z[z>0] <- 1
plot(solist(x, y, z), main = "")
/Ege
On Tue, 2020-11-10 at 10:19 -0400, ASANTOS via R-sig-Geo wrote:
> Thanks Ben,
>
> Little things do matter, I changed cells<- xyFromCell(antscount,
> ants1)
> by cells <- unique(cellFromXY(antscount, geo.form)) and works!!
>
> Final solution:
>
> #Packages
> library(spatstat)
> library(raster)
>
> #Selection of ants data set
> data(ants)
> geo.form<-cbind(x=ants$x,y=ants$y)
>
> #Definition of raster resolution - 10 units
> ants.w<-as.owin(ants)
> ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons")
> ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial =
> TRUE)
> # coerce to SpatialPixelsDataFrame
> gridded(ants.res) <- TRUE
>
> #Rasterize
> antscount<- rasterize(geo.form, raster(ants.res), fun='count',
> background=0)
> values(antscount)[values(antscount) > 0] = 1
>
> #Vizualize
> plot(antscount)
>
> # For 1 pixel neighborhood
> neigh1 <- matrix(1L, nrow=3, ncol=3); neigh1[2,2] <- 0L
> ants1<-which(values(antscount)> 0)
> cells <- unique(cellFromXY(antscount, geo.form))
> e1<-adjacent(antscount, cells, directions=neigh1, pairs=FALSE)
> ng_coords1 <- xyFromCell(antscount, e1)
> points(ng_coords1, col="red")
>
>
> #Rasterize for 1 pixel neighborhood
> ng_coords2<-rbind(ng_coords1,geo.form)
> antscount.9<- rasterize(ng_coords2, raster(ants.res), fun='count',
> background=0)
> values(antscount.9)[values(antscount.9) > 0] = 1
> plot(antscount.9)
>
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Re: [R-sig-Geo] Create pixels neighborhood in a raster [solved]
Thanks Ben, Little things do matter, I changed cells<- xyFromCell(antscount, ants1) by cells <- unique(cellFromXY(antscount, geo.form)) and works!! Final solution: #Packages library(spatstat) library(raster) #Selection of ants data set data(ants) geo.form<-cbind(x=ants$x,y=ants$y) #Definition of raster resolution - 10 units ants.w<-as.owin(ants) ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) # coerce to SpatialPixelsDataFrame gridded(ants.res) <- TRUE #Rasterize antscount<- rasterize(geo.form, raster(ants.res), fun='count', background=0) values(antscount)[values(antscount) > 0] = 1 #Vizualize plot(antscount) # For 1 pixel neighborhood neigh1 <- matrix(1L, nrow=3, ncol=3); neigh1[2,2] <- 0L ants1<-which(values(antscount)> 0) cells <- unique(cellFromXY(antscount, geo.form)) e1<-adjacent(antscount, cells, directions=neigh1, pairs=FALSE) ng_coords1 <- xyFromCell(antscount, e1) points(ng_coords1, col="red") #Rasterize for 1 pixel neighborhood ng_coords2<-rbind(ng_coords1,geo.form) antscount.9<- rasterize(ng_coords2, raster(ants.res), fun='count', background=0) values(antscount.9)[values(antscount.9) > 0] = 1 plot(antscount.9) -- Alexandre dos Santos Geotechnologies and Spatial Statistics applied to Forest Entomology Instituto Federal de Mato Grosso (IFMT) - Campus Caceres Caixa Postal 244 (PO Box) Avenida dos Ramires, s/n - Vila Real Caceres - MT - CEP 78201-380 (ZIP code) Phone: (+55) 65 99686-6970 / (+55) 65 3221-2674 Lattes CV: http://lattes.cnpq.br/1360403201088680 OrcID: orcid.org/-0001-8232-6722 ResearchGate: www.researchgate.net/profile/Alexandre_Santos10 Publons: https://publons.com/researcher/3085587/alexandre-dos-santos/ -- Em 10/11/2020 09:24, Ben Tupper escreveu: Hi, Thanks for updating the example - it is much easier. I'm still not sure of exactly what you are after, but my day is young and there is still coffee to be had. One thing I suggest is that you modify your computation of cells. As you have it, you are computing a matrix of x and y locations. cells<- xyFromCell(antscount, ants1) But I really think you want to compute the cell numbers (1,2,3,... left-to-right, top-to-bottom) from your original data locations (your geo.form). Also, if I have followed correctly, I think you are looking for a list of occupied cells regardless of how many ants in each cell. cells <- unique(cellFromXY(antscount, geo.form)) Then I get a series of plots that "look" right to me with little squares across the plot. Cheers, Ben On Mon, Nov 9, 2020 at 7:48 PM ASANTOS wrote: Dear Ben, Sorry about of lot of mistakes, you are sure some part of code are confusing and/or with errors. I'll try again with some corrections: First, I have the rasterization process of ants presence (0 is absence) in a 10x10 units raster: #Packages library(spatstat) library(raster) #Selection of ants data set data(ants) geo.form<-cbind(x=ants$x,y=ants$y) #Definition of raster resolution - 10 units ants.w<-as.owin(ants) ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) # coerce to SpatialPixelsDataFrame gridded(ants.res) <- TRUE #Rasterize antscount<- rasterize(geo.form, raster(ants.res), fun='count', background=0) values(antscount)[values(antscount) > 0] = 1 #Vizualize plot(antscount) Now, I'd like to create 1 pixels around each pixel of ant presence (Total of 9 pixels in each ant presence in antscount raster): # For 1 pixel neighborhood neigh1 <- matrix(1L, nrow=3, ncol=3); neigh1[2,2] <- 0L ants1<-which(values(antscount)> 0) cells<- xyFromCell(antscount, ants1) e1<-adjacent(antscount, cells, directions=neigh1, pairs=FALSE) ng_coords1 <- xyFromCell(antscount, e1) points(ng_coords1, col="red") I need that's this new create pixels has 1 as value too. #Rasterize for 1 pixel neighborhood antscount.9<- rasterize(ng_coords1 , raster(ants.res), fun='count', background=0) plot(antscount.9) The problem is my ng_coords1 coordinates is wrong and just only in the top of the antscount raster, despite xyFromCell(antscount, ants1) condition. My goal is a new ant presence raster with 8 pixels surrounding the neigourhood of each pixel (ant) in the original antscount raster. Any ideas? Thanks in advanced, Alexandre -- Alexandre dos Santos Geotechnologies and Spatial Statistics applied to Forest Entomology Instituto Federal de Mato Grosso (IFMT) - Campus Caceres Caixa Postal 244 (PO Box) Avenida dos Ramires, s/n - Vila Real Caceres - MT - CEP 78201-380 (ZIP code) Phone: (+55) 65 99686-6970 / (+55) 65 3221-2674 Lattes CV: http://lattes.cnpq.br/1360403201088680 OrcID: orcid.org/-0001-8232-6722 ResearchGate: www.researchgate.net/profile/Alexandre_Santos10 Publons: https://publons.com/researcher/3085587/alexandre-dos-santos/ -- Em 09/11/2020 19:41, Ben Tupper escreveu: Hi, Your example isn't fully reproducible. Or maybe it
Re: [R-sig-Geo] Create pixels neighborhood in a raster
Hi, Thanks for updating the example - it is much easier. I'm still not sure of exactly what you are after, but my day is young and there is still coffee to be had. One thing I suggest is that you modify your computation of cells. As you have it, you are computing a matrix of x and y locations. > cells<- xyFromCell(antscount, ants1) But I really think you want to compute the cell numbers (1,2,3,... left-to-right, top-to-bottom) from your original data locations (your geo.form). Also, if I have followed correctly, I think you are looking for a list of occupied cells regardless of how many ants in each cell. > cells <- unique(cellFromXY(antscount, geo.form)) Then I get a series of plots that "look" right to me with little squares across the plot. Cheers, Ben On Mon, Nov 9, 2020 at 7:48 PM ASANTOS wrote: > > Dear Ben, > > Sorry about of lot of mistakes, you are sure some part of code are > confusing and/or with errors. I'll try again with some corrections: > > First, I have the rasterization process of ants presence (0 is absence) > in a 10x10 units raster: > > #Packages > library(spatstat) > library(raster) > > #Selection of ants data set > data(ants) > geo.form<-cbind(x=ants$x,y=ants$y) > > #Definition of raster resolution - 10 units > ants.w<-as.owin(ants) > ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") > ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) > # coerce to SpatialPixelsDataFrame > gridded(ants.res) <- TRUE > > #Rasterize > antscount<- rasterize(geo.form, raster(ants.res), fun='count', background=0) > values(antscount)[values(antscount) > 0] = 1 > > #Vizualize > plot(antscount) > > Now, I'd like to create 1 pixels around each pixel of ant presence > (Total of 9 pixels in each ant presence in antscount raster): > > # For 1 pixel neighborhood > neigh1 <- matrix(1L, nrow=3, ncol=3); neigh1[2,2] <- 0L > ants1<-which(values(antscount)> 0) > cells<- xyFromCell(antscount, ants1) > e1<-adjacent(antscount, cells, directions=neigh1, pairs=FALSE) > ng_coords1 <- xyFromCell(antscount, e1) > points(ng_coords1, col="red") > > I need that's this new create pixels has 1 as value too. > > #Rasterize for 1 pixel neighborhood > antscount.9<- rasterize(ng_coords1 , raster(ants.res), fun='count', > background=0) > plot(antscount.9) > > The problem is my ng_coords1 coordinates is wrong and just only in the > top of the antscount raster, despite xyFromCell(antscount, ants1) > condition. My goal is a new ant presence raster with 8 pixels > surrounding the neigourhood of each pixel (ant) in the original > antscount raster. > > Any ideas? > > Thanks in advanced, > > Alexandre > > > -- > Alexandre dos Santos > Geotechnologies and Spatial Statistics applied to Forest Entomology > Instituto Federal de Mato Grosso (IFMT) - Campus Caceres > Caixa Postal 244 (PO Box) > Avenida dos Ramires, s/n - Vila Real > Caceres - MT - CEP 78201-380 (ZIP code) > Phone: (+55) 65 99686-6970 / (+55) 65 3221-2674 > Lattes CV: http://lattes.cnpq.br/1360403201088680 > OrcID: orcid.org/-0001-8232-6722 > ResearchGate: www.researchgate.net/profile/Alexandre_Santos10 > Publons: https://publons.com/researcher/3085587/alexandre-dos-santos/ > -- > > Em 09/11/2020 19:41, Ben Tupper escreveu: > > Hi, > > > > Your example isn't fully reproducible. Or maybe it just has some little > > errors. I can't get past this spot... > > > > ants.w<-as.owin(ants) > >> ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") > >> ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) > >> coordinates(ants.res) <- ~ x + y > >> > > You have requested that raster::rasterToPoints() return a spatial points > > object, so there shouldn't be a need for sp::coordinates() to cast to a > > spatial object. > > > > Also, I think you are invoking "antscounts" and "antscount" as the same > > variable. Maybe? It's not clear to me. > > > > Finally, when you call raster::adjacent() you haven't defined the value for > > the cells argument when computing e1 and e2. What do you want them to be? > > > > I wish I could be more helpful. > > > > Cheers, > > Ben > > > > On Mon, Nov 9, 2020 at 12:46 PM ASANTOS via R-sig-Geo < > > r-sig-geo@r-project.org> wrote: > > > >> Dear r-sig-geo Members, > >> > >> I'd like to find any way to create 1 (total 9 pixels) and 2 pixels > >> (total 25 pixels) surrounding the neighborhood of each pixel (ant) in my > >> plot image (antscount). > >> > >> In my example: > >> > >> #Packages > >> library(spatstat) > >> library(raster) > >> > >> #Selection of ants data set > >> data(ants) > >> geo.form<-cbind(x=ants$x,y=ants$y) > >> > >> #Definition of raster resolution - 10 units > >> ants.w<-as.owin(ants) > >> ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") > >> ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) > >> coordinates(ants.res) <- ~ x + y > >> # coerce to SpatialPixelsDataFrame > >> gridded(ants.res) <- TRUE > >> > >>
Re: [R-sig-Geo] Create pixels neighborhood in a raster
Dear Ben, Sorry about of lot of mistakes, you are sure some part of code are confusing and/or with errors. I'll try again with some corrections: First, I have the rasterization process of ants presence (0 is absence) in a 10x10 units raster: #Packages library(spatstat) library(raster) #Selection of ants data set data(ants) geo.form<-cbind(x=ants$x,y=ants$y) #Definition of raster resolution - 10 units ants.w<-as.owin(ants) ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) # coerce to SpatialPixelsDataFrame gridded(ants.res) <- TRUE #Rasterize antscount<- rasterize(geo.form, raster(ants.res), fun='count', background=0) values(antscount)[values(antscount) > 0] = 1 #Vizualize plot(antscount) Now, I'd like to create 1 pixels around each pixel of ant presence (Total of 9 pixels in each ant presence in antscount raster): # For 1 pixel neighborhood neigh1 <- matrix(1L, nrow=3, ncol=3); neigh1[2,2] <- 0L ants1<-which(values(antscount)> 0) cells<- xyFromCell(antscount, ants1) e1<-adjacent(antscount, cells, directions=neigh1, pairs=FALSE) ng_coords1 <- xyFromCell(antscount, e1) points(ng_coords1, col="red") I need that's this new create pixels has 1 as value too. #Rasterize for 1 pixel neighborhood antscount.9<- rasterize(ng_coords1 , raster(ants.res), fun='count', background=0) plot(antscount.9) The problem is my ng_coords1 coordinates is wrong and just only in the top of the antscount raster, despite xyFromCell(antscount, ants1) condition. My goal is a new ant presence raster with 8 pixels surrounding the neigourhood of each pixel (ant) in the original antscount raster. Any ideas? Thanks in advanced, Alexandre -- Alexandre dos Santos Geotechnologies and Spatial Statistics applied to Forest Entomology Instituto Federal de Mato Grosso (IFMT) - Campus Caceres Caixa Postal 244 (PO Box) Avenida dos Ramires, s/n - Vila Real Caceres - MT - CEP 78201-380 (ZIP code) Phone: (+55) 65 99686-6970 / (+55) 65 3221-2674 Lattes CV: http://lattes.cnpq.br/1360403201088680 OrcID: orcid.org/-0001-8232-6722 ResearchGate: www.researchgate.net/profile/Alexandre_Santos10 Publons: https://publons.com/researcher/3085587/alexandre-dos-santos/ -- Em 09/11/2020 19:41, Ben Tupper escreveu: Hi, Your example isn't fully reproducible. Or maybe it just has some little errors. I can't get past this spot... ants.w<-as.owin(ants) ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) coordinates(ants.res) <- ~ x + y You have requested that raster::rasterToPoints() return a spatial points object, so there shouldn't be a need for sp::coordinates() to cast to a spatial object. Also, I think you are invoking "antscounts" and "antscount" as the same variable. Maybe? It's not clear to me. Finally, when you call raster::adjacent() you haven't defined the value for the cells argument when computing e1 and e2. What do you want them to be? I wish I could be more helpful. Cheers, Ben On Mon, Nov 9, 2020 at 12:46 PM ASANTOS via R-sig-Geo < r-sig-geo@r-project.org> wrote: Dear r-sig-geo Members, I'd like to find any way to create 1 (total 9 pixels) and 2 pixels (total 25 pixels) surrounding the neighborhood of each pixel (ant) in my plot image (antscount). In my example: #Packages library(spatstat) library(raster) #Selection of ants data set data(ants) geo.form<-cbind(x=ants$x,y=ants$y) #Definition of raster resolution - 10 units ants.w<-as.owin(ants) ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) coordinates(ants.res) <- ~ x + y # coerce to SpatialPixelsDataFrame gridded(ants.res) <- TRUE #Rasterize antscount<- rasterize(geo.form, raster(ants.res), fun='count', background=0) values(antscount)[values(antscount) > 0] = 1 #Vizualize plot(antscounts) Now, the selection of neighborhood pixels sounds easy, something like: # For 1 pixel neighborhood neigh1 <- matrix(1L, nrow=3, ncol=3) e1<-adjacent(antscounts, cells , directions=neigh1, pairs=FALSE) ng_coords1 <- xyFromCell(antscounts, e1) # For 2 pixel neighborhood neigh2 <- matrix(1L, nrow=5, ncol=5) e2<-adjacent(antscounts, cells , directions=neigh2, pairs=FALSE) ng_coords5 <- xyFromCell(antscounts, e2) But for the combination of all the information (0 and 1 new pixel values) and the new raster representation (antscounts) I don't have success. Please, any ideas? Thanks in advanced, Alexandre -- Alexandre dos Santos Geotechnologies and Spatial Statistics applied to Forest Entomology Instituto Federal de Mato Grosso (IFMT) - Campus Caceres Caixa Postal 244 (PO Box) Avenida dos Ramires, s/n - Vila Real Caceres - MT - CEP 78201-380 (ZIP code) Phone: (+55) 65 99686-6970 / (+55) 65 3221-2674 Lattes CV: http://lattes.cnpq.br/1360403201088680 OrcID: orcid.org/-0001-8232-6722 ResearchGate:
Re: [R-sig-Geo] Create pixels neighborhood in a raster
Hi, Your example isn't fully reproducible. Or maybe it just has some little errors. I can't get past this spot... ants.w<-as.owin(ants) > ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") > ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) > coordinates(ants.res) <- ~ x + y > You have requested that raster::rasterToPoints() return a spatial points object, so there shouldn't be a need for sp::coordinates() to cast to a spatial object. Also, I think you are invoking "antscounts" and "antscount" as the same variable. Maybe? It's not clear to me. Finally, when you call raster::adjacent() you haven't defined the value for the cells argument when computing e1 and e2. What do you want them to be? I wish I could be more helpful. Cheers, Ben On Mon, Nov 9, 2020 at 12:46 PM ASANTOS via R-sig-Geo < r-sig-geo@r-project.org> wrote: > Dear r-sig-geo Members, > > I'd like to find any way to create 1 (total 9 pixels) and 2 pixels > (total 25 pixels) surrounding the neighborhood of each pixel (ant) in my > plot image (antscount). > > In my example: > > #Packages > library(spatstat) > library(raster) > > #Selection of ants data set > data(ants) > geo.form<-cbind(x=ants$x,y=ants$y) > > #Definition of raster resolution - 10 units > ants.w<-as.owin(ants) > ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") > ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) > coordinates(ants.res) <- ~ x + y > # coerce to SpatialPixelsDataFrame > gridded(ants.res) <- TRUE > > #Rasterize > antscount<- rasterize(geo.form, raster(ants.res), fun='count', > background=0) > values(antscount)[values(antscount) > 0] = 1 > > #Vizualize > plot(antscounts) > > Now, the selection of neighborhood pixels sounds easy, something like: > > # For 1 pixel neighborhood > neigh1 <- matrix(1L, nrow=3, ncol=3) > e1<-adjacent(antscounts, cells , directions=neigh1, pairs=FALSE) > ng_coords1 <- xyFromCell(antscounts, e1) > > # For 2 pixel neighborhood > neigh2 <- matrix(1L, nrow=5, ncol=5) > e2<-adjacent(antscounts, cells , directions=neigh2, pairs=FALSE) > ng_coords5 <- xyFromCell(antscounts, e2) > > But for the combination of all the information (0 and 1 new pixel > values) and the new raster representation (antscounts) I don't have > success. Please, any ideas? > > Thanks in advanced, > > Alexandre > > -- > Alexandre dos Santos > Geotechnologies and Spatial Statistics applied to Forest Entomology > Instituto Federal de Mato Grosso (IFMT) - Campus Caceres > Caixa Postal 244 (PO Box) > Avenida dos Ramires, s/n - Vila Real > Caceres - MT - CEP 78201-380 (ZIP code) > Phone: (+55) 65 99686-6970 / (+55) 65 3221-2674 > Lattes CV: http://lattes.cnpq.br/1360403201088680 > OrcID: orcid.org/-0001-8232-6722 > ResearchGate: www.researchgate.net/profile/Alexandre_Santos10 > Publons: https://publons.com/researcher/3085587/alexandre-dos-santos/ > -- > > ___ > R-sig-Geo mailing list > R-sig-Geo@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > -- Ben Tupper Bigelow Laboratory for Ocean Science East Boothbay, Maine http://www.bigelow.org/ https://eco.bigelow.org [[alternative HTML version deleted]] ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
[R-sig-Geo] Create pixels neighborhood in a raster
Dear r-sig-geo Members, I'd like to find any way to create 1 (total 9 pixels) and 2 pixels (total 25 pixels) surrounding the neighborhood of each pixel (ant) in my plot image (antscount). In my example: #Packages library(spatstat) library(raster) #Selection of ants data set data(ants) geo.form<-cbind(x=ants$x,y=ants$y) #Definition of raster resolution - 10 units ants.w<-as.owin(ants) ext <- as(extent(c(ants.w$xrange,ants.w$yrange)), "SpatialPolygons") ants.res<-rasterToPoints(raster(ext, resolution = 10), spatial = TRUE) coordinates(ants.res) <- ~ x + y # coerce to SpatialPixelsDataFrame gridded(ants.res) <- TRUE #Rasterize antscount<- rasterize(geo.form, raster(ants.res), fun='count', background=0) values(antscount)[values(antscount) > 0] = 1 #Vizualize plot(antscounts) Now, the selection of neighborhood pixels sounds easy, something like: # For 1 pixel neighborhood neigh1 <- matrix(1L, nrow=3, ncol=3) e1<-adjacent(antscounts, cells , directions=neigh1, pairs=FALSE) ng_coords1 <- xyFromCell(antscounts, e1) # For 2 pixel neighborhood neigh2 <- matrix(1L, nrow=5, ncol=5) e2<-adjacent(antscounts, cells , directions=neigh2, pairs=FALSE) ng_coords5 <- xyFromCell(antscounts, e2) But for the combination of all the information (0 and 1 new pixel values) and the new raster representation (antscounts) I don't have success. Please, any ideas? Thanks in advanced, Alexandre -- Alexandre dos Santos Geotechnologies and Spatial Statistics applied to Forest Entomology Instituto Federal de Mato Grosso (IFMT) - Campus Caceres Caixa Postal 244 (PO Box) Avenida dos Ramires, s/n - Vila Real Caceres - MT - CEP 78201-380 (ZIP code) Phone: (+55) 65 99686-6970 / (+55) 65 3221-2674 Lattes CV: http://lattes.cnpq.br/1360403201088680 OrcID: orcid.org/-0001-8232-6722 ResearchGate: www.researchgate.net/profile/Alexandre_Santos10 Publons: https://publons.com/researcher/3085587/alexandre-dos-santos/ -- ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
