[R-sig-Geo] how to plot different rows of a SpatialPolygonsDataFrame in trellis panels

[Kent Johnson]

On Thu, May 24, 2018 at 6:00 AM, <r-sig-geo-request using r-project.org> wrote:

>
> Message: 1
> Date: Wed, 23 May 2018 18:39:07 +0000
> From: "Waichler, Scott R" <Scott.Waichler using pnnl.gov>
> To: "r-sig-geo using r-project.org" <r-sig-geo using r-project.org>
> Subject: [R-sig-Geo] how to plot different rows of a
>         SpatialPolygonsDataFrame in trellis panels
>
> Hello,
>
> I have a SpatialPolygonsDataFrame.  I would like to do a trellis plot on
> one of the attributes, so that in the panel for a given attribute value,
> only those polygons with that value are plotted.  So, each panel has
> different polygons plotted in it.  I can't figure out how to do this.  In
> the toy example below, I would like to create a trellis plot with one panel
> showing the polygons with id = 1, and another panel showing the polygons
> with id = 2.
>
> My goal beyond this toy problem is to do the same thing with stplot, where
> panels correspond to times and each time has a different set of polygons
> plotted.  Will that be possible?  In all the examples I can find of using
> stplot for a space-time grid with the spatial objects being polygons, the
> polygons are the same across time.
>
> # based on example in help("SpatialPolygonsDataFrame-class")
> Sr1 = Polygon(cbind(c(2,4,4,1,2),c(2,3,5,4,2)))
> Sr2 = Polygon(cbind(c(5,4,2,5),c(2,3,2,2)))
> Sr3 = Polygon(cbind(c(4,4,5,10,4),c(5,3,2,5,5)))
> Sr4 = Polygon(cbind(c(5,6,6,5,5),c(4,4,3,3,4)), hole = TRUE)
> Srs1 = Polygons(list(Sr1), "s1")
> Srs2 = Polygons(list(Sr2), "s2")
> Srs3 = Polygons(list(Sr3, Sr4), "s3/4")
> SpP = SpatialPolygons(list(Srs1,Srs2,Srs3), 1:3)
> grd <- GridTopology(c(1,1), c(1,1), c(10,10))
> polys <- as(grd, "SpatialPolygons")
> centroids <- coordinates(polys)
> x <- centroids[,1]
> y <- centroids[,2]
> z <- 1.4 + 0.1*x + 0.2*y + 0.002*x*x
> id = factor(sample(c(1,2), size=length(polys), replace=T))
> tmp <- SpatialPolygonsDataFrame(polys,
>       data=data.frame(x=x, y=y, z=z, id=id, row.names=row.names(polys)))
> plot(tmp)  # plots all the square polygons (n = 10*10)
> spplot(tmp)  # plots values of x, y, z, id in separate panels, each with
> 100 polys
> spplot(tmp, zcol=z)  # error message about duplication of factor level
> spplot(tmp ~ id, zcol=z, data=tmp)  # won't take formula
>

You can do the facetting with ggplot2::geom_sf (in the dev version of
ggplot2) though I don't think it will use different coordinate ranges for
different facets:

devtools::install_github('tidyverse/ggplot2')
library(sf)
library(ggplot2)
tmp2 = st_as_sf(tmp)

ggplot(tmp2) + geom_sf(aes(fill=z)) + facet_wrap(~id)

A couple of suggestions here, using tmap or ggspatial, that look promising:
https://stackoverflow.com/questions/47678480/mapping-different-states-with-geom-sf-using-facet-wrap-and-scales-free

Kent Johnson


> Thank you,
> ScottWaichler
> Pacific Northwest National Laboratory
> scott.waichler _at_ pnnl.gov
>

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