spex {spex} | R Documentation |
Polygon extent
Description
Create Spatial Polygons with projection metadata from a 'Spatial Extent'.
Usage
spex(x, crs, byid = FALSE, .id, ..., clipboard = FALSE)
## Default S3 method:
spex(x, crs = NULL, byid = FALSE, .id, ..., clipboard = FALSE)
## S3 method for class 'sf'
spex(x, crs, byid = FALSE, .id, ..., clipboard = FALSE)
## S3 method for class 'sfc'
spex(x, crs, byid = FALSE, .id, ..., clipboard = FALSE)
Arguments
x |
any object with a |
crs |
a projection string |
byid |
return a separate object for every input sub-object (not yet implemented) |
.id |
optional name for output attribute name |
... |
arguments for methods |
clipboard |
WIP this special-case allows x to be the result of the leafem clipboard copy process |
Details
Called with no arguments will return the extent of the current 'par("usr")' setting.
Called with a matrix, list, or data frame it will create an extent from a two columned thing.
Called with clipboard = TRUE
and x
will be treated as the JSON-ic output of the clipboard copy from
leafem (WIP). If x is missing, it will be attempted to be read from the clipboard. Clipboard read cannot
work on RStudio Server, so we allow the text value to be passed in.
I.e. spex(clipboard = TRUE)
will
read from the clipboard, spex(tx, clipboard = TRUE)
will read from tx with value like
'{"_southWest":{"lat":-1.307259612275665,"lng":23.411865234375},"_north...}"'
.
This function is to replace a common pattern in spatial packages which is
create an
Extent-class
, a bounding box in xmin,xmax,ymin,ymax but without projection metadatacoerce the Extent to
SpatialPolygons
restore the 'CRS', the "coordinate reference system", i.e. projection metadata
elevate the object to be a
SpatialPolygonsDataFrame-class
.
In short, this pattern exists because there is no projection metadata stored
with either sp's bbox
or raster's Extent-class
.
Value
'SpatialPolygonsDataFrame'
Warning
Please note that an extent converted to polygons consists of only four unique coordinates, and so this is not necessarily suited for projection transformations.
See Also
This pattern is displayed in the example code for cover
.
Examples
library(raster)
data(lux)
exlux <- spex(lux)
plot(lux)
plot(exlux, add = TRUE)
## put an extent and a CRS together
spex(extent(0, 1, 0, 1), crs = "+proj=laea +ellps=WGS84")