Spex provides a small set of functions for working with spatial data. These are
spex()
- a spatial extent with projection metadatapolygonize()
- a fast quadmesh-based pixel-to-polygon translationbuffer_extent
- a convenience function for tidy extentsxlim
, ylim
- convenience functions for the axes of an extentextent()
- convenience functions for sf objectslatmask()
- mask a raster based on a latitudelatitudecircle()
- create a spatial region based on a latitudeCreate a fully-fledged SpatialPolygonsDataFrame extent from any object
understood by the ‘raster’ package function ‘extent()’. If the input has
projection metadata it will be carried through to the output. The
intention is to support any object from packages sp
, raster
and
sf
. If you want this to work on other types, create an issue and get
in touch to discuss!.
The polygonization approach is faster than rasterToPolygons
, and
multi-layer rasters are converted to multi-column spatial data frames.
This only does the pixel-to-polygon case. It provides an sf
POLYGON
data frame, but there is a version qm_rasterToPolygons_sp
that returns
a Spatial version.
The “buffered extent” is used to create cleanly aligned extents, useful for generating exacting grid structures as raster or vector.
Install ‘spex’ from CRAN.
install.packages("spex")
Create a Spatial object as a single extent polygon from a raster.
library(spex)
library(raster)
#> Loading required package: sp
data(lux)
(exlux <- spex(lux))
#> class : SpatialPolygonsDataFrame
#> features : 1
#> extent : 5.74414, 6.528252, 49.44781, 50.18162 (xmin, xmax, ymin, ymax)
#> Warning in proj4string(x): CRS object has comment, which is lost in output
#> crs : +proj=longlat +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +no_defs
#> variables : 1
#> names : SpatialPolygonsDataFrame_extent
#> value : 1
## put an extent and a CRS together
spex(extent(0, 1, 0, 1), crs = "+proj=laea +ellps=WGS84")
#> class : SpatialPolygonsDataFrame
#> features : 1
#> extent : 0, 1, 0, 1 (xmin, xmax, ymin, ymax)
#> Warning in proj4string(x): CRS object has comment, which is lost in output
#> crs : +proj=laea +lat_0=0 +lon_0=0 +x_0=0 +y_0=0 +ellps=WGS84 +units=m +no_defs
#> variables : 1
#> names : Extent_extent
#> value : 1
Create a simple features POLYGON data frame from a raster.
library(spex)
library(raster)
r <- raster(volcano)
tm <- system.time(p <- qm_rasterToPolygons(r))
p1 <- polygonize(r)
identical(p, p1)
#> [1] TRUE
p3 <- qm_rasterToPolygons_sp(r)
class(p3)
#> [1] "SpatialPolygonsDataFrame"
#> attr(,"package")
#> [1] "sp"
nrow(p)
#> [1] 5307
class(p)
#> [1] "sf" "data.frame"
class(p$geometry)
#> [1] "sfc_POLYGON" "sfc"
print(tm)
#> user system elapsed
#> 0.386 0.004 0.390
Create a buffered extent with whole-number aligned edges.
library(spex)
(ex <- extent(lux))
#> class : Extent
#> xmin : 5.74414
#> xmax : 6.528252
#> ymin : 49.44781
#> ymax : 50.18162
buffer_extent(ex, 10)
#> class : Extent
#> xmin : 0
#> xmax : 10
#> ymin : 40
#> ymax : 60
buffer_extent(ex, 2)
#> class : Extent
#> xmin : 4
#> xmax : 8
#> ymin : 48
#> ymax : 52
There are convenience functions for sf objects.
class(psf)
#> [1] "sf" "data.frame"
extent(psf)
#> class : Extent
#> xmin : 0
#> xmax : 1.23
#> ymin : 0
#> ymax : 1
spex(psf)
#> class : SpatialPolygonsDataFrame
#> features : 1
#> extent : 0, 1.23, 0, 1 (xmin, xmax, ymin, ymax)
#> crs : NA
#> variables : 1
#> names : Extent_extent
#> value : 1
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