Fast replacement for r.grow using r.grow.distance
Usage
lsm_aux_grow(
input,
output,
flags = NULL,
radius = 1.01,
metric = "euclidean",
old = "",
new = "",
mapunits = FALSE
)
Arguments
- input
[character=""]
Habitat map, following a binary classification (e.g. values 1,0 or 1,NA for habitat,non-habitat) inside GRASS Data Base.- output
[character=""]
Map name output inside GRASS Data Base.- flags
[character=""]
- radius
[logical(1)=FALSE]
IfTRUE
, the function treats non-habitat cells as null; ifFALSE
, the function converts non-habitat zero cells to null cells.- metric
[numeric()]
- old
[numeric()]
- new
[numeric()]
- mapunits
[numeric()]
Details
AUTHOR(S): Glynn Clements PURPOSE: Fast replacement for r.grow using r.grow.distance
COPYRIGHT: (C) 2008 by Glynn Clements
This program is free software under the GNU General Public License (>=v2). Read the file COPYING that comes with GRASS for details.
Examples
library(lsmetrics)
library(terra)
# read habitat data
r <- lsmetrics::lsm_toy_landscape(proj_type = "meters")
# plot
plot(r, legend = FALSE, axes = FALSE, main = "Binary habitat")
plot(as.polygons(r, dissolve = FALSE), lwd = .1, add = TRUE)
plot(as.polygons(r), add = TRUE)
text(r)
# find grass
path_grass <- system("grass --config path", inter = TRUE) # windows users need to find the grass gis path installation, e.g. "C:/Program Files/GRASS GIS 8.3"
# create grassdb
rgrass::initGRASS(gisBase = path_grass,
SG = r,
gisDbase = "grassdb",
location = "newLocation",
mapset = "PERMANENT",
override = TRUE)
#> gisdbase grassdb
#> location newLocation
#> mapset PERMANENT
#> rows 16
#> columns 16
#> north 7525600
#> south 7524000
#> west 234000
#> east 235600
#> nsres 100
#> ewres 100
#> projection:
#> PROJCRS["WGS 84 / UTM zone 23S",
#> BASEGEOGCRS["WGS 84",
#> ENSEMBLE["World Geodetic System 1984 ensemble",
#> MEMBER["World Geodetic System 1984 (Transit)"],
#> MEMBER["World Geodetic System 1984 (G730)"],
#> MEMBER["World Geodetic System 1984 (G873)"],
#> MEMBER["World Geodetic System 1984 (G1150)"],
#> MEMBER["World Geodetic System 1984 (G1674)"],
#> MEMBER["World Geodetic System 1984 (G1762)"],
#> MEMBER["World Geodetic System 1984 (G2139)"],
#> ELLIPSOID["WGS 84",6378137,298.257223563,
#> LENGTHUNIT["metre",1]],
#> ENSEMBLEACCURACY[2.0]],
#> PRIMEM["Greenwich",0,
#> ANGLEUNIT["degree",0.0174532925199433]],
#> ID["EPSG",4326]],
#> CONVERSION["UTM zone 23S",
#> METHOD["Transverse Mercator",
#> ID["EPSG",9807]],
#> PARAMETER["Latitude of natural origin",0,
#> ANGLEUNIT["degree",0.0174532925199433],
#> ID["EPSG",8801]],
#> PARAMETER["Longitude of natural origin",-45,
#> ANGLEUNIT["degree",0.0174532925199433],
#> ID["EPSG",8802]],
#> PARAMETER["Scale factor at natural origin",0.9996,
#> SCALEUNIT["unity",1],
#> ID["EPSG",8805]],
#> PARAMETER["False easting",500000,
#> LENGTHUNIT["metre",1],
#> ID["EPSG",8806]],
#> PARAMETER["False northing",10000000,
#> LENGTHUNIT["metre",1],
#> ID["EPSG",8807]]],
#> CS[Cartesian,2],
#> AXIS["(E)",east,
#> ORDER[1],
#> LENGTHUNIT["metre",1]],
#> AXIS["(N)",north,
#> ORDER[2],
#> LENGTHUNIT["metre",1]],
#> USAGE[
#> SCOPE["Navigation and medium accuracy spatial referencing."],
#> AREA["Between 48°W and 42°W, southern hemisphere between 80°S and equator, onshore and offshore. Brazil."],
#> BBOX[-80,-48,0,-42]],
#> ID["EPSG",32723]]
# import raster from r to grass
rgrass::write_RAST(x = r, flags = c("o", "overwrite", "quiet"), vname = "r", verbose = FALSE)
# clump
rgrass::execGRASS(cmd = "r.mapcalc", expression = "r_null = if(r == 1, 1, null())")
rgrass::execGRASS(cmd = "r.clump", flags = c("d", "overwrite"), input = "r_null", output = "r_id")
#> Pass 1 of 2...
#> 0% 6% 12% 18% 25% 31% 37% 43% 50% 56% 62% 68% 75% 81% 87% 93% 100%
#> Generating renumbering scheme...
#> 0% 14% 28% 42% 57% 71% 85% 100%
#> Pass 2 of 2...
#> 0% 6% 12% 18% 25% 31% 37% 43% 50% 56% 62% 68% 75% 81% 87% 93% 100%
#> r.clump complete. 6 clumps.
# grow
lsmetrics::lsm_aux_grow(input = "r_id", output = "r_id_grow")
#> Reading raster map <r_id>...
#> 0% 6% 12% 18% 25% 31% 37% 43% 50% 56% 62% 68% 75% 81% 87% 93% 100%
#> Writing output raster maps...
#> 0% 6% 12% 18% 25% 31% 37% 43% 50% 56% 62% 68% 75% 81% 87% 93% 100%
#> Color table for raster map <r_id_grow> set to 'r_id'
# files
rgrass::execGRASS(cmd = "g.list", type = "raster")
#> r
#> r_id
#> r_id_grow
#> r_null
# import from grass to r
r_id <- rgrass::read_RAST("r_id", flags = "quiet", return_format = "terra")
# plot
plot(r_id, legend = FALSE, axes = FALSE, main = "Fragment id")
plot(as.polygons(r, dissolve = FALSE), lwd = .1, add = TRUE)
plot(as.polygons(r), add = TRUE)
text(r_id)
# import from grass to r
r_id_grow <- rgrass::read_RAST("r_id_grow", flags = "quiet", return_format = "terra")
plot(r_id_grow, legend = FALSE, axes = FALSE, main = "Fragment grow")
plot(as.polygons(r, dissolve = FALSE), lwd = .1, add = TRUE)
plot(as.polygons(r), add = TRUE)
text(r_id_grow)
# delete grassdb
unlink("grassdb", recursive = TRUE)