Nick Crouch - 1 year ago 171

R Question

So I have multiple species ranges which look like the following (colored blue for example) This one runs east to west across Africa:

I can get the total area by using

`gArea`

`rgeos`

`#Load example shapefile`

shp <- readShapeSpatial("species1.shp")

#How many polygon slots are there?

length(shp@polygons)

>2

#How many polygons are in each slot

length(shp@polygons[[1]]@Polygons

length(shp@polygons[[2]]@Polygons

and to get the area of a particular one:

`shp@polygons[[1]]@Polygons[[1]]@area`

Is this correct? I'm worried that a lake in the middle of the range might constitute a polygon on its own? I want to end up with a list that is roughly like:

`Species A Species B`

Polygon 1 12 11

Polygon 2 13 10

Polygon 2 14 NA

If I wanted to compile a list for every species of how many polygons and their individual ranges would be pretty straightforward to pass to a loop if the above code is correct.

Thanks

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Answer Source

This is a very un-glamorous solution, but it gets the job done at the moment.

```
for(i in 1:length(shpfiles)){
shp <- shpfiles[[i]]
#1) Create master list of all polygon files within a shapefile
#How many lists of polygons are there within the shpfile
num.polygon.lists <- length(shp@polygons)
#Get all polygon files
master <- vector(mode="list")
for(i in 1:num.polygon.lists){
m <- shp@polygons[[i]]@Polygons
master[[i]] <- m
}
#Combine polygon files into a single list
len <- length(master)
if(len > 1) {
root <- master[[1]]
for(i in 2:length(master)){
root <- c(master[[i]], root)}
} else {root <- master[[1]]}
#Rename
polygon.files <- root
#2) Count number of polygon files that are not holes
#Create a matrix for the total number of polygon slots that are going to be counted
res <- matrix(NA,ncol=1 , nrow=length(polygon.files))
#Loop through polygons returning whether slot "hole" is TRUE/FALSE
for(i in 1:length(polygon.files)){
r <- isTRUE(polygon.files[[i]]@hole)
res[[i,1]] <- r
}
#Count number times "FALSE" appears - means polygon is not a hole
p.count <- table(res)["FALSE"]
p.count <- as.numeric(p.count)
print(p.count)
}
```

It's a start

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