Creating spatialpolygons dataframe from list of polygons - r

Question

I am currently trying to create a polygon shapefile from a list of polygons (study areas for biodiversity research).
Currently these polygons are stored in a list in this format:
$SEW22
[,1] [,2]
[1,] 427260.4 5879458
[2,] 427161.4 5879472
[3,] 427175.0 5879571
[4,] 427273.9 5879557
[5,] 427260.4 5879458
$SEW23
[,1] [,2]
[1,] 418011.0 5867216
[2,] 417912.0 5867230
[3,] 417925.5 5867329
[4,] 418024.5 5867315
[5,] 418011.0 5867216
I tried to simply write them as shpfile with writeOGR but the following error occurs:
> #write polygons to shp
> filenameshp <- paste('Forestplots')
> layername <- paste('Forestplots')
> writeOGR(obj=forest, dsn = filenameshp,
+ layer=layername, driver="ESRI Shapefile", overwrite_layer = TRUE)
Error in writeOGR(obj = forest, dsn = filenameshp, layer = layername, :
inherits(obj, "Spatial") is not TRUE
I read this tutorial by Barry Rowlingson to create spatialpolygons and thought I should probably first create a dataframe and did this:
forestm<-do.call(rbind,forest)
but this returned nothing useful as you can imagine, plus it lost the names of the plots.
As I am still new to R I also tried lots of different other approaches which sensefulness I could not fully judge but none returned what I hoped for and so I spare you with these random approaches.....
I am looking forward to your propositions.
Many thanks
P.S. I also tried the following as described in the spatialpolygons{sp} package:
> Polygons(forest, ID)
Error in Polygons(forest, ID) : srl not a list of Polygon objects

Answer 1

You can follow the approach described in this answer: https://gis.stackexchange.com/questions/18311/instantiating-spatial-polygon-without-using-a-shapefile-in-r.
Here's how to apply the approach to your case. First, I create a list of matrices as in your sample data:
forest <- list(
"SEW22" = matrix(c(427260.4, 5879458, 427161.4, 5879472, 427175.0, 5879571, 427273.9, 5879557, 427260.4, 5879458),
nc = 2, byrow = TRUE),
"SEW23" = matrix(c(418011.0, 5867216, 417912.0, 5867230, 417925.5, 5867329, 418024.5, 5867315, 418011.0, 5867216),
nc = 2, byrow = TRUE)
)
Now
library(sp)
p <- lapply(forest, Polygon)
ps <- lapply(seq_along(p), function(i) Polygons(list(p[[i]]), ID = names(p)[i]))
sps <- SpatialPolygons(ps)
sps_df <- SpatialPolygonsDataFrame(sps, data.frame(x = rep(NA, length(p)), row.names = names(p)))
In the first step, we iterate through the list of matrices and apply the Polygon function to each matrix to create a list of Polygon objects. In the second step, we iterate through this list to create a Polygons object, setting the ID of each element in this object to the corresponding name in the original list (e.g. "SEW22", "SEW23"). The third step creates a SpatialPolygons object. Finally, we create a SpatialPolygonsDataFrame object. Here I have a dummy dataframe populated with NAs (note that the row names must correspond to the polygon IDs).
Finally, write the data
rgdal::writeOGR(obj = sps_df,
dsn = "Forestplots",
layer = "Forestplots",
driver = "ESRI Shapefile",
overwrite_layer = TRUE)
This creates a new folder in your working directory:
list.files()
# [1] "Forestplots"
list.files("Forestplots")
# [1] "Forestplots.dbf" "Forestplots.shp" "Forestplots.shx"
Consult the linked answer for more details.