update g.region calls to use new element names (https://trac.osgeo.org/grass/ticket/2409)

git-svn-id: https://svn.osgeo.org/grass/grass/trunk@63628 15284696-431f-4ddb-bdfa-cd5b030d7da7

display/d.barscale/thumbnails/README

@@ -7,7 +7,7 @@ export GRASS_RENDER_IMMEDIATE=png
 export GRASS_RENDER_TRUECOLOR=TRUE
 export GRASS_RENDER_WIDTH=300
 export GRASS_RENDER_HEIGHT=300
-g.region rast=elevation
+g.region raster=elevation
 
 for STYLE in classic line solid hollow full_checker part_checker mixed_checker tail_checker up_ticks down_ticks both_ticks arrow_ends
 do

display/d.geodesic/d.geodesic.html

@@ -30,7 +30,7 @@ A geodesic line if shown over the political map of the world
 (demolocation dataset):
 
 <div class="code"><pre>
-g.region vect=country_boundaries -p
+g.region vector=country_boundaries -p
 d.mon wx0
 d.vect country_boundaries type=area
 d.geodesic coordinates=55:58W,33:18S,26:43E,60:37N \

display/d.his/d.his.html

@@ -106,7 +106,7 @@ command <em><a href="r.his.html">r.his</a></em>.
 <h2>EXAMPLE</h2>
 
 <div class="code"><pre>
-g.region rast=elevation
+g.region raster=elevation
 r.relief input=elevation output=elevation_shaded_relief
 
 d.mon wx0

display/d.path/d.path.html

@@ -24,7 +24,7 @@ map, use the <em>v.net.path</em> module.
 
 Interactive shortest path routing on road network (North Carolina sample dataset):
 <div class="code"><pre>
-g.region vect=roadsmajor -p
+g.region vector=roadsmajor -p
 d.vect roadsmajor
 d.path roadsmajor coordinates=668646.15,224447.16,668348.83,235894.02
 </pre></div>

display/d.rhumbline/d.rhumbline.html

@@ -24,7 +24,7 @@ A geodesic line if shown over the political map of the world
 (demolocation dataset):
 
 <div class="code"><pre>
-g.region vect=country_boundaries -p
+g.region vector=country_boundaries -p
 d.mon wx0
 d.vect country_boundaries type=area
 d.rhumbline coordinates=55:58W,33:18S,26:43E,60:37N \

display/d.vect.chart/d.vect.chart.html

@@ -48,7 +48,7 @@ Creation of framed bar charts of an erodibiliy index from the Spearfish
 sample dataset:
 
 <div class="code"><pre>
-g.region rast=erode.index -p
+g.region raster=erode.index -p
 r.to.vect -s input=erode.index output=erode_index type=area 
 v.extract input=erode_index output=erode_index_ctrds type=centroid 
 d.rast aspect

display/d.vect/d.vect.html

@@ -83,7 +83,7 @@ d.vect -c map=soils where="label='VBF'" display=shape attribute_column=label
 
 <p>3D points, 3D lines and 3D polygons colorized according to z height:
 <div class="code"><pre>
-g.region rast=elevation.10m
+g.region raster=elevation.10m
 r.random input=elevation.10m n=5000 vector=random3d -d
 d.mon start=x0
 # display as black points

general/g.list/g.list.html

@@ -161,7 +161,7 @@ g.list -e type=rast separator=comma pattern="precip_total.(199[7-9]|200[0-9]|201
 List all raster maps starting with "tmp_" whose region overlaps with
 the region of "test" raster map:
 <div class="code"><pre>
-g.region rast=test save=test_region
+g.region raster=test save=test_region
 g.list type=rast pattern='tmp_*' region=test_region
 </pre></div>
 

general/g.region/g.region.html

@@ -126,11 +126,6 @@ with the UNIX eval command, "<tt>eval `g.region -g`</tt>".
 <h3>Additional parameter information:</h3>
 
 <dl>
-<dt><b>3dview=</b><em>name</em> 
-<dd>Make current region settings same as those in the named
-3dview file, which holds the region that was current when
-the 3dview was saved.
-
 
 <dt><b>zoom=</b><em>name</em>
 <dd>Shrink current region settings to the smallest region
@@ -138,7 +133,7 @@ encompassing all non-NULL data in the named raster map
 layer that fall inside the user's current region. In this
 way you can tightly zoom in on isolated clumps within a
 bigger map.
-<p>If the user also includes the <b>rast=</b><em>name</em>
+<p>If the user also includes the <b>raster=</b><em>name</em>
 option on the command line, <b>zoom=</b><em>name</em> will
 set the current region settings to the smallest region
 encompassing all non-NULL data in the named <b>zoom</b> map
@@ -154,7 +149,7 @@ column edge in the named map.  Alignment only moves the
 existing region edges outward to the edges of the next
 nearest cell in the named raster map - not to the named
 map's edges.  To perform the latter function, use the
-<b>rast=</b><em>name</em> option.
+<b>raster=</b><em>name</em> option.
 </dl>
 
 
@@ -222,7 +217,7 @@ northern and eastern boundary values.
 
 
 <dt><span class="code"><tt>
-g.region rast=soils
+g.region raster=soils
 </tt></span>
 
 <dd> This form will make the current region settings
@@ -232,7 +227,7 @@ the raster map layer <em>soils</em>.
 <p>
 
 <dt><span class="code"><tt>
-g.region rast=soils zoom=soils
+g.region raster=soils zoom=soils
 </tt></span>
 
 <dd> This form will first look up the cell header file for
@@ -240,7 +235,7 @@ the raster map layer <em>soils</em>, use this as the
 current region setting, and then shrink the region down to
 the smallest region which still encompasses all non-NULL
 data in the map layer <em>soils</em>.  Note that if the
-parameter <em>rast=soils</em> were not specified, the
+parameter <em>raster=soils</em> were not specified, the
 zoom would shrink to encompass all non-NULL data values in
 the soils map that were located within the <i>current region</i>
 settings.
@@ -248,7 +243,7 @@ settings.
 <p>
 
 <dt><span class="code"><tt>
-g.region -up rast=soils
+g.region -up raster=soils
 </tt></span>
 
 <dd> The <b>-u</b> option suppresses the re-setting of the

general/g.region/main.c

@@ -450,7 +450,7 @@ int main(int argc, char *argv[])
 	Rast3d_region_to_cell_head(&win, &window);
     }
 
-    /* vect= */
+    /* vector= */
     if (parm.vect->answer) {
 	int first = 0;
 

gui/wxpython/gcp/manager.py

@@ -15,7 +15,7 @@ Classes:
  - manager::EditGCP
  - manager::GrSettingsDialog
 
-(C) 2006-2012 by the GRASS Development Team
+(C) 2006-2014 by the GRASS Development Team
 
 This program is free software under the GNU General Public License
 (>=v2). Read the file COPYING that comes with GRASS for details.
@@ -673,9 +673,9 @@ class DispMapPage(TitledPage):
         try:
         # set computational region to match selected map and zoom display to region
             if maptype == 'raster':
-                p = RunCommand('g.region', 'rast=src_map')
+                p = RunCommand('g.region', 'raster=src_map')
             elif maptype == 'vector':
-                p = RunCommand('g.region', 'vect=src_map')
+                p = RunCommand('g.region', 'vector=src_map')
             
             if p.returncode == 0:
                 print 'returncode = ', str(p.returncode)

gui/wxpython/mapdisp/frame.py

@@ -688,7 +688,7 @@ class MapFrame(SingleMapFrame):
             return
         # set region for composite
         grass.use_temp_region()
-        returncode, messages = RunCommand('g.region', rast=tmpName + '.red',
+        returncode, messages = RunCommand('g.region', raster=tmpName + '.red',
                                           quiet=True, getErrorMsg=True)
         if not returncode == 0:
             grass.del_temp_region()

gui/wxpython/psmap/instructions.py

@@ -551,9 +551,9 @@ class MapFrame(InstructionObject):
         if self.instruction['scaleType'] == 0: #match map
             map = self.instruction['map']
             if self.instruction['mapType'] == 'raster':
-                comment = "# g.region rast=%s nsres=%s ewres=%s\n" % (map, region['nsres'], region['ewres'])
+                comment = "# g.region raster=%s nsres=%s ewres=%s\n" % (map, region['nsres'], region['ewres'])
             else:
-                comment = "# g.region vect=%s\n" % (map)
+                comment = "# g.region vector=%s\n" % (map)
         elif self.instruction['scaleType'] == 1:# saved region
             region = self.instruction['region']
             comment = "# g.region region=%s\n" % region

gui/wxpython/rlisetup/functions.py

@@ -84,8 +84,8 @@ def convertFeature(vect, outrast, cat, origrast, layer='1', overwrite=False):
     grass.run_command('v.extract', input=vect, cats=cat, type='area',
                       layer=layer, output=tmp_vect, flags='d',
                       overwrite=overwrite, quiet=True)
-    grass.run_command('g.region', rast=origrast)
-    grass.run_command('g.region', vect=tmp_vect)
+    grass.run_command('g.region', rastor=origrast)
+    grass.run_command('g.region', vector=tmp_vect)
     grass.run_command('g.region', align=origrast)
     grass.run_command('v.to.rast', input=tmp_vect, type='area',
                       layer=layer, use='val', value=cat, output=outrast,

gui/wxpython/rlisetup/g.gui.rlisetup.html

@@ -276,7 +276,7 @@ Select type of shape:
 <p>
 Now an anaysis can be performed using one of the analytical modules, e.g.
 <div class="code"><pre>
-g.region rast=forests -p
+g.region raster=forests -p
 r.li.patchdensity input=forests conf=movwindow7 output=forests_p_dens7
 r.univar forests_p_dens7
 </pre></div>
@@ -314,7 +314,7 @@ Click on "New", then:
 <p>
 Now an anaysis can be performed using one of the analytical modules, e.g.
 <div class="code"><pre>
-g.region rast=lsat7_2002_40 -p
+g.region raster=lsat7_2002_40 -p
 r.li.shannon input=lsat7_2000_40 conf=whole_region output=lsat7_2000_40_shannon
 </pre></div>
 

gui/wxpython/rlisetup/sampling_frame.py

@@ -258,7 +258,7 @@ class RLiSetupMapPanel(wx.Panel):
                    value=1, use='val')
         wx.EndBusyCursor()
         grass.use_temp_region()
-        grass.run_command('g.region', vect=tmpvector)
+        grass.run_command('g.region', vector=tmpvector)
         region = grass.region()
 
         marea = MaskedArea(region, rasterName)

gui/wxpython/rlisetup/wizard.py

@@ -144,7 +144,7 @@ class RLIWizard(object):
         grass.use_temp_region()
         # Temporarily aligning region resolution to $RASTER resolution
         # keep boundary settings
-        grass.run_command('g.region', rast=self.startpage.rast)
+        grass.run_command('g.region', raster=self.startpage.rast)
         self.gregion = grass.region()
         self.SF_NSRES = self.gregion['nsres']
         self.SF_EWRES = self.gregion['ewres']
@@ -240,7 +240,7 @@ class RLIWizard(object):
                           coordinate=[xcenter, ycenter], quiet=True)
         grass.del_temp_region()
         grass.use_temp_region()
-        grass.run_command('g.region', rast=self.startpage.rast)
+        grass.run_command('g.region', raster=self.startpage.rast)
 
     def getSamplingType(self):
         """Obtain the sampling type"""
@@ -353,7 +353,7 @@ class RLIWizard(object):
                                                     SamplingType.MUNITSC]:
             # get the raster region into rastregion
             grass.use_temp_region()
-            grass.run_command('g.region', rast=self.startpage.rast)
+            grass.run_command('g.region', raster=self.startpage.rast)
             rastregion = grass.region()
             s_n = rastregion['n']
             s_w = rastregion['w']

imagery/i.atcorr/i.atcorr.html

@@ -615,7 +615,7 @@ micrometer.</td>
 The example is based on the North Carolina sample dataset (GMT -5 hours).
 First we set the computational region to the satellite map, e.g. channel 4:
 <div class="code"><pre>
-g.region rast=lsat7_2002_40 -p
+g.region raster=lsat7_2002_40 -p
 </pre></div>
 
 It is important to verify the available metadata for the sun position which

imagery/i.atcorr/test_suite/README.txt

@@ -11,7 +11,7 @@ ETM4_400x400_atms_corr.raw = Image output file (expected output)
 # import raw Landsat channel 4:
 r.in.gdal ETM4_400x400.raw out=ETM4_400x400.raw -o
 # set region to this map
-g.region rast=ETM4_400x400.raw
+g.region raster=ETM4_400x400.raw
 
 # create synthetic DEM, close to sea level
 r.mapcalc "atcorr_dem = 10.0"

imagery/i.cluster/i.cluster.html

@@ -219,7 +219,7 @@ Preparing the statistics for unsupervised classification of
 a LANDSAT subscene in North Carolina:
 
 <div class="code"><pre>
-g.region rast=lsat7_2002_10 -p
+g.region raster=lsat7_2002_10 -p
 
 # store VIZ, NIR, MIR into group/subgroup
 i.group group=lsat7_2002 subgroup=lsat7_2002 \

imagery/i.fft/i.fft.html

@@ -26,11 +26,11 @@ resulting fast Fourier transform invalid.
 North Carolina example:
 
 <div class="code"><pre>
-g.region rast=lsat7_2002_70
+g.region raster=lsat7_2002_70
 i.fft input=lsat7_2002_70 real=lsat7_2002_70.real imaginary=lsat7_2002_70.imag
 
 # set region to resulting FFT output map (due to new FFT coordinate space):
-g.region rast=lsat7_2002_70.real -p
+g.region raster=lsat7_2002_70.real -p
 d.mon x0
 d.rast lsat7_2002_70.real
 d.rast lsat7_2002_70.imag

imagery/i.pca/i.pca.html

@@ -53,7 +53,7 @@ history files. View with <em>r.info</em>.
 Using Landsat imagery in the North Carolina sample dataset:
 
 <div class="code"><pre>
-g.region rast=lsat7_2002_10 -p
+g.region raster=lsat7_2002_10 -p
 i.pca in=lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40,lsat7_2002_50,lsat7_2002_70 \
     out=lsat7_2002_pca
 

imagery/i.segment/i.segment.html

@@ -122,7 +122,7 @@ i.group group=ortho_group input=ortho_2001_t792_1m@PERMANENT
 input ortho photograph).
 
 <div class="code"><pre>
-g.region -p rast=ortho_2001_t792_1m n=220446 s=220075 e=639151 w=638592
+g.region -p raster=ortho_2001_t792_1m n=220446 s=220075 e=639151 w=638592
 </pre></div>
 
 Try out a low threshold and check the results.
@@ -162,7 +162,7 @@ they are less similar than required by our threshold):
 
 <p>Set the region to match the entire map(s) in the group.
 <div class="code"><pre>
-g.region -p rast=ortho_2001_t792_1m@PERMANENT
+g.region -p raster=ortho_2001_t792_1m@PERMANENT
 </pre></div>
 
 <p>

imagery/i.smap/i.smap.html

@@ -147,7 +147,7 @@ r.mapcalc "MASKed_map = classification_results"
 Supervised classification of LANDSAT
 
 <div class="code"><pre>
-g.region rast=lsat7_2002_10 -p
+g.region raster=lsat7_2002_10 -p
 
 # store VIZ, NIR, MIR into group/subgroup
 i.group group=my_lsat7_2002 subgroup=my_lsat7_2002 \

imagery/i.vi/i.vi.html

@@ -253,7 +253,7 @@ dataset.
 
 <!-- todo: check if i.landsat.toar use is needed for NC data -->
 <div class="code"><pre>
-g.region rast=lsat5_1987_30 -p
+g.region raster=lsat5_1987_30 -p
 i.vi red=lsat5_1987_30 viname=ndvi output=lsat5_1987.ndvi nir=lsat5_1987_40
 r.colors lsat5_1987.ndvi color=ndvi
 </pre></div>

lib/cairodriver/cairodriver.html

@@ -95,7 +95,7 @@ export GRASS_RENDER_WIDTH=800
 export GRASS_RENDER_HEIGHT=800
 export GRASS_RENDER_FILE_READ=TRUE
 
-g.region rast=elevation
+g.region raster=elevation
 d.rast map=elevation
 d.vect map=streams width=1 color=blue fcolor=aqua type=area,line
 d.vect map=roadsmajor width=2
@@ -111,7 +111,7 @@ export GRASS_RENDER_FILE=nc_spm.pdf
 export GRASS_RENDER_WIDTH=800
 export GRASS_RENDER_HEIGHT=800
 
-g.region vect=roadsmajor
+g.region vector=roadsmajor
 # activate vector font
 d.font Vera
 d.vect map=roadsmajor layer=1 display=shape attrcolumn=ROAD_NAME lcolor=0:90:255
@@ -126,7 +126,7 @@ export GRASS_RENDER_FILE=nc_spm.pdf
 export GRASS_RENDER_WIDTH=800
 export GRASS_RENDER_HEIGHT=800
 
-g.region rast=elevation
+g.region raster=elevation
 d.rast map=elevation
 </pre></div>
 

lib/pngdriver/pngdriver.html

@@ -67,7 +67,7 @@ Several environment variables affect the operation of the PNG driver:
 export GRASS_RENDER_IMMEDIATE=png
 export GRASS_RENDER_TRUECOLOR=TRUE
 
-g.region rast=elevation
+g.region raster=elevation
 d.rast elevation
 d.vect roadsmajor color=red
 </pre></div>

lib/psdriver/psdriver.html

@@ -57,7 +57,7 @@ Several environment variables affect the operation of the PS driver:
 export GRASS_RENDER_IMMEDIATE=ps
 export GRASS_RENDER_TRUECOLOR=TRUE
 
-g.region rast=elevation
+g.region raster=elevation
 d.rast elevation
 d.vect roadsmajor color=red
 </pre></div>

lib/python/docs/src/gunittest_testing.rst

@@ -55,7 +55,7 @@ it must be placed into a directory named ``testsuite``.
             # to not override mapset's region (which might be used by other tests)
             cls.use_temp_region()
             # cls.runModule or self.runModule is used for general module calls
-            cls.runModule('g.region', rast='elevation')
+            cls.runModule('g.region', raster='elevation')
             # note that the region set by default for NC location is the same as
             # the elevation raster map, this is an example shows what to do
             # in the general case

lib/python/gunittest/testsuite/test_assertions.py

@@ -81,7 +81,7 @@ class TestAssertModuleKeyValue(grass.gunittest.TestCase):
     @classmethod
     def setUpClass(cls):
         cls.use_temp_region()
-        cls.runModule(SimpleModule('g.region', rast='elevation'))
+        cls.runModule(SimpleModule('g.region', raster='elevation'))
 
     @classmethod
     def tearDownClass(cls):
@@ -123,7 +123,7 @@ class TestRasterMapAssertions(grass.gunittest.TestCase):
     def setUpClass(cls):
         cls.use_temp_region()
         # TODO: here we should actually not call self.runModule but call_module
-        cls.runModule(SimpleModule('g.region', rast='elevation'))
+        cls.runModule(SimpleModule('g.region', raster='elevation'))
 
     @classmethod
     def tearDownClass(cls):

lib/python/pygrass/modules/grid/grid.py

@@ -353,7 +353,7 @@ def cmd_exe(args):
             inputs[key] = mapnames[key]
         cmd['inputs'] = inputs.items()
         # set the region to the tile
-        sub.Popen(['g,region', 'rast=%s' % key], env=env).wait()
+        sub.Popen(['g,region', 'raster=%s' % key], env=env).wait()
     else:
         # set the computational region
         lcmd = ['g.region', ]

lib/python/script/testsuite/test_start_command_functions.py

@@ -15,27 +15,27 @@ class TestPythonKeywordsInParameters(grass.gunittest.TestCase):
 
     def test_prefixed_underscore(self):
         proc = start_command(
-            'g.region', _rast=self.raster, stderr=PIPE)
+            'g.region', _raster=self.raster, stderr=PIPE)
         stderr = proc.communicate()[1]
-        self.assertNotIn('_rast', stderr)
+        self.assertNotIn('_raster', stderr)
         self.assertIn(self.raster, stderr,
             msg="Raster map name should appear in the error output")
 
     def test_suffixed_underscore(self):
         proc = start_command(
-            'g.region', rast_=self.raster, stderr=PIPE)
+            'g.region', raster_=self.raster, stderr=PIPE)
         stderr = proc.communicate()[1]
-        self.assertNotIn('rast_', stderr)
+        self.assertNotIn('raster_', stderr)
         self.assertIn(self.raster, stderr,
             msg="Raster map name should appear in the error output")
 
     def test_multiple_underscores(self):
         proc = start_command(
-            'g.region', _rast_=self.raster, stderr=PIPE)
+            'g.region', _raster_=self.raster, stderr=PIPE)
         stderr = proc.communicate()[1]
         returncode = proc.poll()
         self.assertEquals(returncode, 1)
-        self.assertIn('rast', stderr)
+        self.assertIn('raster', stderr)
 
 if __name__ == '__main__':
     grass.gunittest.test()

lib/python/script/testsuite/test_start_command_functions_nc.py

@@ -24,30 +24,30 @@ class TestPythonKeywordsInParameters(grass.gunittest.TestCase):
 
     def test_prefixed_underscore(self):
         proc = start_command(
-            'g.region', _rast=self.raster, stderr=PIPE)
+            'g.region', _raster=self.raster, stderr=PIPE)
         stderr = proc.communicate()[1]
         returncode = proc.poll()
         self.assertEquals(returncode, 0,
-            msg="Undersocre as prefix was not accepted")
-        self.assertNotIn('_rast', stderr)
+            msg="Underscore as prefix was not accepted")
+        self.assertNotIn('_raster', stderr)
 
     def test_suffixed_underscore(self):
         proc = start_command(
-            'g.region', rast_=self.raster, stderr=PIPE)
+            'g.region', raster_=self.raster, stderr=PIPE)
         stderr = proc.communicate()[1]
         returncode = proc.poll()
         self.assertEquals(returncode, 0,
-            msg="Undersocre as suffix was not accepted, stderr is:\n%s" % stderr)
-        self.assertNotIn('rast_', stderr)
+            msg="Underscore as suffix was not accepted, stderr is:\n%s" % stderr)
+        self.assertNotIn('raster_', stderr)
 
     def test_multiple_underscores(self):
         proc = start_command(
-            'g.region', _rast_=self.raster, stderr=PIPE)
+            'g.region', _raster_=self.raster, stderr=PIPE)
         stderr = proc.communicate()[1]
         returncode = proc.poll()
         self.assertEquals(returncode, 1,
-            msg="Undersocre at both sides was accepted")
-        self.assertIn('rast', stderr)
+            msg="Underscore at both sides was accepted")
+        self.assertIn('raster', stderr)
 
 if __name__ == '__main__':
     grass.gunittest.test()

lib/python/temporal/stds_import.py

@@ -97,7 +97,7 @@ def _import_raster_maps_from_gdal(maplist, overr, exp, location, link, format_,
 
     # Set the computational region from the last map imported
     if set_current_region is True:
-        gscript.run_command("g.region", rast=name)
+        gscript.run_command("g.region", raster=name)
 
 ############################################################################
 
@@ -121,7 +121,7 @@ def _import_raster_maps(maplist, set_current_region=False):
 
     # Set the computational region from the last map imported
     if set_current_region is True:
-        gscript.run_command("g.region", rast=name)
+        gscript.run_command("g.region", raster=name)
 
 ############################################################################
 

misc/m.nviz.image/m.nviz.image.html

@@ -11,7 +11,7 @@ of <em>volume</em> data (3D raster data) from the command line.
 Render elevation map in a 3D space.
 
 <div class="code"><pre>
-g.region rast=elevation
+g.region raster=elevation
 m.nviz.image elevation_map=elevation output=elev perspective=15
 </pre></div>
 

misc/m.nviz.script/m.nviz.script.html

@@ -85,7 +85,7 @@ To interactively create an NVIZ animation from raster elev.rast with
 the scene, run the following:
 
 <div class="code"><pre>
-g.region rast=elevation.dem
+g.region raster=elevation.dem
 d.rast elevation.dem
 m.nviz.script -ik input=elevation.dem output=nviz.script dist=2400 ht=1220 frames=1000
 </pre></div>

ps/ps.map/ps.map.html

@@ -1576,7 +1576,7 @@ This script file can be entered at the command line:
 
 <div class="code"><pre>
  # First set the region
- g.region rast=soils
+ g.region raster=soils
 
  # Generate comment file (or use text editor)
  echo "Spearfish (SD) soils" &gt; soil.cmt

raster/r.carve/r.carve.html

@@ -21,7 +21,7 @@ depressions are in flat areas and not in the streams.
 North Carolina sample dataset:
 
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.carve rast=elevation vect=streams out=carve_dem width=20 depth=5
 </pre></div>
 

raster/r.clump/r.clump.html

@@ -38,7 +38,7 @@ Perform clumping on "lakes" map (North Carolina sample dataset) and
 report area sizes for each lake individually rather by waterbody type:
 
 <div class="code"><pre>
-g.region rast=lakes -p
+g.region raster=lakes -p
 
 # report sizes by waterbody type
 r.report lakes units=h

raster/r.contour/r.contour.html

@@ -40,7 +40,7 @@ r.contour input=elevation.dem output=elevation_dem_contours minlevel=1000 maxlev
 North Carolina example:
 <p>
 <div class="code"><pre>
-g.region rast=elev_lid792_1m -p
+g.region raster=elev_lid792_1m -p
 r.contour input=elev_lid792_1m output=elev_lid792_1m_contours minlevel=100 maxlevel=150 step=10
 </pre></div>
 

raster/r.cost/r.cost.html

@@ -217,7 +217,7 @@ used. The calculation is done with <em>r.cost</em> as follows
 (example for Spearfish region):
 
 <div class="code"><pre>
-  g.region rast=roads -p
+  g.region raster=roads -p
   r.mapcalc "area.one = 1"
   r.cost -k input=area.one output=distance start_rast=roads
   d.rast distance

raster/r.cost/test_suite/profile.sh

@@ -1,5 +1,5 @@
 # NC dataset
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.mapcalc 'one = 1'
 CMD="r.cost -k in=one start_points=school_copy output=cost.test --o"
 

raster/r.drain/tests/test.r.drain.sh

@@ -5,7 +5,7 @@
 export GRASS_OVERWRITE=1
 
 r.in.ascii testascii_nc.asc out=testascii
-g.region rast=testascii -p
+g.region raster=testascii -p
 
 d.mon wx0
 sleep 2

raster/r.external/r.external.html

@@ -29,7 +29,7 @@ changed to NULL (if() condition).
 <div class="code"><pre>
 # import of all channels (each channel will become a GRASS raster map):
 r.external  /home/user/data/maps/059100.tif out=ortho
-g.region rast=ortho.3 -p
+g.region raster=ortho.3 -p
 d.rgb r=ortho.1 g=ortho.2 b=ortho.3
 r.composite r=ortho.1 g=ortho.2 b=ortho.3 output=ortho.rgb
 </pre></div>

raster/r.grow.distance/r.grow.distance.html

@@ -64,7 +64,7 @@ distances in meters instead of map units.
 
 A) Distance from the streams network (North Carolina sample dataset):
 <div class="code"><pre>
-g.region rast=streams_derived -p
+g.region raster=streams_derived -p
 r.grow.distance input=streams_derived distance=dist_from_streams
 </pre></div>
 
@@ -76,7 +76,7 @@ r.grow.distance input=streams_derived distance=dist_from_streams
 <p>
 B) Distance from sea in meters in latitude-longitude location:
 <div class="code"><pre>
-g.region rast=sea -p
+g.region raster=sea -p
 r.grow.distance -m input=sea distance=dist_from_sea_geodetic metric=geodesic
 </pre></div>
 

raster/r.his/r.his.html

@@ -92,7 +92,7 @@ Recreate the following example for <em>d.his</em> using <em>r.his</em>.
 First, create shaded relief and show it.
 
 <div class="code"><pre>
-g.region rast=elevation
+g.region raster=elevation
 r.relief input=elevation output=elevation_shaded_relief
 
 d.mon wx0

raster/r.horizon/r.horizon.html

@@ -142,7 +142,7 @@ The examples are intended for the North Carolina sample dataset.
 of horizon angles CCW from East):
 
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.horizon elevation=elevation direction=215 step=0 bufferzone=200 \
     coordinates=638871.6,223384.4 maxdistance=5000
 </pre></div>

raster/r.in.lidar/r.in.lidar.html

@@ -207,7 +207,7 @@ Import of a LAS file into an existing location/mapset (metric):
 <div class="code"><pre>
 # set the computational region automatically, resol. for binning is 5m
 r.in.lidar -e -o input=points.las resolution=5 output=lidar_dem_mean
-g.region rast=lidar_dem_mean -p
+g.region raster=lidar_dem_mean -p
 r.univar lidar_dem_mean
 </pre></div>
 

raster/r.in.poly/testsuite/test_rinpoly.py

@@ -31,7 +31,7 @@ class TestRInPoly(grass.gunittest.TestCase):
     @classmethod
     def setUpClass(cls):
         cls.use_temp_region()
-        cls.runModule('g.region', rast='elevation')
+        cls.runModule('g.region', raster='elevation')
 
     @classmethod
     def tearDownClass(cls):

raster/r.kappa/r.kappa.html

@@ -51,7 +51,7 @@ information for each and every category.
 Example for North Carolina sample dataset:
 
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.kappa -w classification=landuse96_28m reference=landclass96
 </pre></div>
 <p>

raster/r.lake/r.lake.html

@@ -86,7 +86,7 @@ during single run.
 Example of small flooding along a street (North Carolina sample dataset):
 
 <div class="code"><pre>
-g.region rast=elev_lid792_1m -p
+g.region raster=elev_lid792_1m -p
 
 # water accumulation next to street dam
 r.lake elev_lid792_1m coordinates=638759.3,220264.1 water_level=113.4 lake=flooding

raster/r.latlong/r.latlong.html

@@ -14,7 +14,7 @@ Datum transform is not implemented, the same datum is taken as output.
 <h2>EXAMPLE</h2>
 
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.latlong input=elevation output=latitude
 </pre></div>
 

raster/r.li/TODO

@@ -15,7 +15,7 @@ GRASS 7:
 # TODO: change the examples to North Carolina wherever possible:
 
 # Spearfish tests
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 d.mon wx0
 d.rast forests
@@ -61,7 +61,7 @@ sh ./r.li.testing_nc_asc.sh
 echo "SAMPLINGFRAME 0|0|1|1
 SAMPLEAREA 0.0|0.0|1.0|1.0" > $HOME/.grass7/r.li/landsat_test
 
-g.region rast=lsat7_2002_40 -p
+g.region raster=lsat7_2002_40 -p
 r.li.shannon input=lsat7_2002_40 conf=landsat_test output=landsat_shannon
 --> Result written to ASCII file <$HOME/.grass7/r.li/output/landsat_shannon>
 

raster/r.li/r.li.daemon/daemon.c

@@ -413,7 +413,7 @@ int parseSetup(char *path, struct list *l, struct g_area *g, char *raster)
 	char maskname[GNAME_MAX] = {'\0'};
 	msg m;
 
-	/* Get the window setting. g.region rast=<input raster> */
+	/* Get the window setting. g.region raster=<input raster> */
 	/*   ? same as cellhd above ? */
 	/* no. the current window might be different */
 

raster/r.li/r.li.dominance/r.li.dominance.html

@@ -35,7 +35,7 @@ r.li.dominance input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.dominance input=forests conf=movwindow7 out=forests_dominance_mov7
 r.univar forests_dominance_mov7
@@ -44,7 +44,7 @@ r.univar forests_dominance_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.dominance input=forests conf=movwindow7 out=forests_dominance_mov7
 

raster/r.li/r.li.edgedensity/r.li.edgedensity.html

@@ -56,7 +56,7 @@ r.li.edgedensity input=my_map conf=my_conf output=my_out patch_type=34
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.edgedensity input=forests conf=movwindow7 out=forests_edgedens_mov7
 r.univar forests_edgedens_mov7
@@ -65,7 +65,7 @@ r.univar forests_edgedens_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.edgedensity input=forests conf=movwindow7 out=forests_edgedensity_mov7
 

raster/r.li/r.li.html

@@ -81,7 +81,7 @@ in the Spearfish sample dataset, using a 5x5 moving window:
   <ol>
   <li> set the region settings to the "<tt>geology</tt>" raster map:
 <div class="code"><pre>
-  g.region rast=geology -p
+  g.region raster=geology -p
 </pre></div>
 
   <li> run <em>r.li.patchdensity</em>:

raster/r.li/r.li.mpa/r.li.mpa.html

@@ -43,7 +43,7 @@ r.li.mpa input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.mpa input=forests conf=movwindow7 out=forests_mpa_mov7
 r.univar forests_mpa_mov7
@@ -52,7 +52,7 @@ r.univar forests_mpa_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.mpa input=forests conf=movwindow7 out=forests_mpa_mov7
 

raster/r.li/r.li.mps/r.li.mps.html

@@ -45,7 +45,7 @@ r.li.mps input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.mps input=forests conf=movwindow7 out=forests_mps_mov7
 r.univar forests_mps_mov7
@@ -54,7 +54,7 @@ r.univar forests_mps_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.mps input=forests conf=movwindow7 out=forests_mps_mov7
 

raster/r.li/r.li.padcv/r.li.padcv.html

@@ -35,7 +35,7 @@ r.li.padcv input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.padcv input=forests conf=movwindow7 out=forests_padcv_mov7
 r.univar forests_padcv_mov7
@@ -44,7 +44,7 @@ r.univar forests_padcv_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.padcv input=forests conf=movwindow7 out=forests_padcv_mov7
 

raster/r.li/r.li.padrange/r.li.padrange.html

@@ -37,7 +37,7 @@ r.li.padrange input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.padrange input=forests conf=movwindow7 out=forests_padrange_mov7
 r.univar forests_padrange_mov7
@@ -46,7 +46,7 @@ r.univar forests_padrange_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.padrange input=forests conf=movwindow7 out=forests_padrange_mov7
 

raster/r.li/r.li.padsd/r.li.padsd.html

@@ -37,7 +37,7 @@ r.li.padsd input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.padsd input=forests conf=movwindow7 out=forests_padsd_mov7
 r.univar forests_padsd_mov7
@@ -46,7 +46,7 @@ r.univar forests_padsd_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.padsd input=forests conf=movwindow7 out=forests_padsd_mov7
 

raster/r.li/r.li.patchdensity/r.li.patchdensity.html

@@ -40,7 +40,7 @@ r.li.patchdensity input=my_map conf=my_conf output=my_out
 <p>
 Example for Spearfish forest areas:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 # extract forested areas:
 r.category landcover.30m
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43, 1, null())"
@@ -57,7 +57,7 @@ d.vect forests type=boundary
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.patchdensity input=forests conf=movwindow7 out=forests_patchdensity_mov7
 

raster/r.li/r.li.patchnum/r.li.patchnum.html

@@ -31,7 +31,7 @@ r.li.patchnum input=my_map conf=my_conf out=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.patchnum input=forests conf=movwindow7 out=forests_patchnum_mov7
 r.univar forests_patchnum_mov7
@@ -40,7 +40,7 @@ r.univar forests_patchnum_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.patchnum input=forests conf=movwindow7 out=forests_patchnum_mov7
 

raster/r.li/r.li.pielou/r.li.pielou.html

@@ -34,7 +34,7 @@ r.li.pielou input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.pielou input=forests conf=movwindow7 out=forests_pielou_mov7
 r.univar forests_pielou_mov7
@@ -43,7 +43,7 @@ r.univar forests_pielou_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.pielou input=forests conf=movwindow7 out=forests_pielou_mov7
 

raster/r.li/r.li.renyi/r.li.renyi.html

@@ -37,7 +37,7 @@ r.li.renyi input=my_map conf=my_conf output=my_out alpha=0.6
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.renyi input=forests conf=movwindow7 out=forests_renyi_mov7_a06 alpha=0.6
 r.univar forests_renyi_mov7_a06
@@ -46,7 +46,7 @@ r.univar forests_renyi_mov7_a06
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.renyi input=forests conf=movwindow7 out=forests_renyi_mov7
 

raster/r.li/r.li.richness/r.li.richness.html

@@ -37,7 +37,7 @@ r.li.richness input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.richness input=forests conf=movwindow7 out=forests_richness_mov7
 r.univar forests_richness_mov7
@@ -46,7 +46,7 @@ r.univar forests_richness_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.richness input=forests conf=movwindow7 out=forests_richness_mov7
 

raster/r.li/r.li.shannon/r.li.shannon.html

@@ -35,7 +35,7 @@ r.li.shannon input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.shannon input=forests conf=movwindow7 out=forests_shannon_mov7
 r.univar forests_shannon_mov7
@@ -44,7 +44,7 @@ r.univar forests_shannon_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.shannon input=forests conf=movwindow7 out=forests_shannon_mov7
 

raster/r.li/r.li.shape/r.li.shape.html

@@ -36,7 +36,7 @@ r.li.shape input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.shape input=forests conf=movwindow7 out=forests_shape_mov7
 r.univar forests_shape_mov7
@@ -45,7 +45,7 @@ r.univar forests_shape_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.shape input=forests conf=movwindow7 out=forests_shape_mov7
 

raster/r.li/r.li.simpson/r.li.simpson.html

@@ -34,7 +34,7 @@ r.li.simpson input=my_map conf=my_conf output=my_out
 
 Forest map (Spearfish sample dataset) example:
 <div class="code"><pre>
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 r.li.simpson input=forests conf=movwindow7 out=forests_simpson_mov7
 r.univar forests_simpson_mov7
@@ -43,7 +43,7 @@ r.univar forests_simpson_mov7
 
 Forest map (North Carolina sample dataset) example:
 <div class="code"><pre>
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 r.mapcalc "forests = if(landclass96 == 5, 1, null() )"
 r.li.simpson input=forests conf=movwindow7 out=forests_simpson_mov7
 

raster/r.li/r.li.testing_nc_asc.sh

@@ -11,7 +11,7 @@ SAMPLEAREA 0.0|0.0|1.0|1.0" > $G_RLI/landcover_whole_whole # GRASS7
 
 # North Carolina location:
 export GRASS_OVERWRITE=1
-g.region rast=landclass96 -p
+g.region raster=landclass96 -p
 RASTER_MAP=landclass96
 #r.to.vect in=basin_50K output=basin_50K feature=area
 

raster/r.li/r.li.testing_sp_mov.sh

@@ -14,7 +14,7 @@ SAMPLEAREA -1|-1|0.015021459227467811|0.011058451816745656
 MOVINGWINDOW" > $HOME/.grass7/r.li/movwindow7
 
 export GRASS_OVERWRITE=1
-g.region rast=landcover.30m -p
+g.region raster=landcover.30m -p
 r.mapcalc "forests = if(landcover.30m >= 41 && landcover.30m <= 43,1,null())"
 
 MEASURE="dominance edgedensity mpa mps padcv padrange padsd patchdensity patchnum pielou richness shannon shape simpson"

raster/r.mapcalc/test_suite/README

@@ -4,7 +4,7 @@
 #### r.blend for 3-in-1 testing
 #spearfish
 
-g.region rast=elevation.10m res=5
+g.region raster=elevation.10m res=5
 export GRASS_OVERWRITE=1
 export GRASS_VERBOSE=0
 

raster/r.mode/r.mode.html

@@ -33,7 +33,7 @@ the same as they were at the time that the result map was created.
 Mode of K-factor (erosion) for Spearfish fields:
 
 <div class="code"><pre>
-g.region rast=fields -p
+g.region raster=fields -p
 r.mode base=fields cover=soils.Kfactor output=K.by.farm.mode
 r.univar K.by.farm.mode
 </pre></div>

raster/r.out.gdal/r.out.gdal.html

@@ -19,7 +19,7 @@ a group, when the imagery group's name is entered as input.
 module)
 <p>As with most GRASS raster modules, the current region extents and region
 resolution are used, and a MASK is respected if present.
-Use <em><a href="g.region.html">g.region</a></em>'s "align=", or "rast="
+Use <em><a href="g.region.html">g.region</a></em>'s "align=", or "raster="
 options if you need to realign the region settings to match the original
 map's before export.
 
@@ -164,33 +164,33 @@ overviews.
 
 <h3>Export the integer raster basin_50K map to GeoTIFF format:</h3>
 <div class="code"><pre>
-g.region rast=basin_50K -p
+g.region raster=basin_50K -p
 r.out.gdal input=basin_50K output=basin_50K.tif
 </pre></div>
 <p>
 <h3>Export a DCELL raster map in GeoTIFF format suitable for ESRI software:</h3>
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.out.gdal in=elevation output=elevation.tif createopt="PROFILE=GeoTIFF,TFW=YES"
 </pre></div>
 <p>
 <h3>Export a raster map in "Deflate" compressed GeoTIFF format:</h3>
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.out.gdal in=elevation output=elevation.tif createopt="COMPRESS=DEFLATE"
 </pre></div>
 <p>
 <h3>Export R,G,B imagery bands in GeoTIFF format suitable for ESRI software:</h3>
 <div class="code"><pre>
 i.group group=nc_landsat_rgb input=lsat7_2002_30,lsat7_2002_20,lsat7_2002_10
-g.region rast=lsat7_2002_30 -p
+g.region raster=lsat7_2002_30 -p
 r.out.gdal in=nc_landsat_rgb output=nc_landsat_rgb.tif type=Byte \
   createopt="PROFILE=GeoTIFF,INTERLEAVE=PIXEL,TFW=YES"
 </pre></div>
 <p>
 <h3>Export the floating point raster elevation map to ERDAS/IMG format:</h3>
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.out.gdal input=elevation output=elelevation.img format=HFA type=Float32
 </pre></div>
 
@@ -199,7 +199,7 @@ r.out.gdal input=elevation output=elelevation.img format=HFA type=Float32
 g.list group
 i.group group=tm7 subgroup=tm7 input=tm7_10,tm7_20,tm7_30,tm7_40,tm7_50,tm7_60,tm7_70
 i.group -l tm7
-g.region rast=tm7_10 -p
+g.region raster=tm7_10 -p
 r.out.gdal tm7 output=lsat_multiband.tif
 gdalinfo lsat_multiband.tif
 </pre></div>

raster/r.out.ppm/r.out.ppm.html

@@ -4,7 +4,7 @@
 at the pixel resolution of the CURRENTLY DEFINED REGION. 
 To get the resolution and region settings of the raster map, run:<p>
 <div class="code"><pre>
-g.region -p rast=[mapname]
+g.region -p raster=[mapname]
 </pre></div>
 
 <p>

raster/r.out.ppm3/r.out.ppm3.html

@@ -9,7 +9,7 @@ using the the current region settings.
 <p>To get the full area and resolutin of the raster map, run:
 
 <div class="code"><pre>
-g.region rast=[mapname]
+g.region raster=[mapname]
 </pre></div>
 
 <p>before running <em>r.out.ppm3</em>.

raster/r.param.scale/r.param.scale.html

@@ -73,7 +73,7 @@ Note that the aspect map is calculated differently from
 The next commands will create a geomorphological map of the Spearfish region:
 
 <div class="code"><pre>
-g.region rast=elevation.10m -p
+g.region raster=elevation.10m -p
 r.param.scale in=elevation.10m output=morphology param=feature size=9
 </pre></div>
 

raster/r.patch/r.patch.html

@@ -63,7 +63,7 @@ geographic region settings to one or several raster maps, the <em>g.region</em>
 program can be used:
 
 <div class="code"><pre>
-g.region rast=map1[,map2[,...]]
+g.region raster=map1[,map2[,...]]
 </pre></div>
 
 <p>
@@ -104,7 +104,7 @@ used in the order listed.
 
 <div class="code"><pre>
 MAPS=`g.list type=rast sep=, pat="map_*"`
-g.region rast=$MAPS
+g.region raster=$MAPS
 r.patch in=$MAPS out=mosaic
 </pre></div>
 <br>

raster/r.profile/testsuite/test_profile_ncspm.py

@@ -134,7 +134,7 @@ class TestProfileNCSPM(TestCase):
     @classmethod
     def setUpClass(cls):
         gcore.use_temp_region()
-        gcore.run_command('g.region', rast='elevation')
+        gcore.run_command('g.region', raster='elevation')
 
     @classmethod
     def tearDownClass(cls):

raster/r.proj/r.proj.html

@@ -261,7 +261,7 @@ v.proj input=bounds location=source_location_name output=bounds_reprojected
 # bounds map, and align the resolution to the desired cell resolution of the 
 # final, reprojected raster map:
 
-g.region vect=bounds_reprojected res=5 -a
+g.region vector=bounds_reprojected res=5 -a
 
 # Now reproject the raster into the target location
 

raster/r.quantile/r.quantile.html

@@ -8,14 +8,14 @@ for use with large amounts of data. It is using two passes.
 Calculation of elevation quantiles (printed to standard-out):
 
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.quantile input=elevation percentiles=0.1,1,10,25,50,75,90,99,99.9
 </pre></div>
 
 The output of <em>r.quantile</em> can be used for quantile classification:
 
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.quantile elevation quantiles=5 -r --quiet | r.recode elevation \
            out=elev_quant5 rules=-
 </pre></div>

raster/r.random/r.random.html

@@ -71,7 +71,7 @@ and then use the reclassed raster map layer as input to <em>r.random</em>.
 Spearfish region, result stored in 2D vector map:
 
 <div class="code"><pre>
-g.region rast=elevation.10m -p
+g.region raster=elevation.10m -p
 r.random elevation.10m vector=elevrand n=100
 v.db.select elevrand
 v.univar elevrand col=value type=point
@@ -83,7 +83,7 @@ Spearfish region with collocated values sampled from landuse map,
 result stored in 3D vector map:
 
 <div class="code"><pre>
-g.region rast=elevation.10m -p
+g.region raster=elevation.10m -p
 r.random -d elevation.10m cover=landcover.30m vector=luserand3d n=100
 
 # data output (value: elevation, covervalue: landuse class):

raster/r.reclass/r.reclass.html

@@ -46,7 +46,7 @@ as a <em>r.reclass</em> of a <em>r.reclass</em>.
 
 <p>To convert a reclass map to a regular raster map layer, set your
 geographic region settings to match the settings in the header for the
-reclass map (with "<tt>g.region&nbsp;rast=reclass_map</tt>", or
+reclass map (with "<tt>g.region&nbsp;raster=reclass_map</tt>", or
 viewable by running <em><a href="r.info.html">r.info</a></em>) 
 and then run <em><a href="r.resample.html">r.resample</a></em>.
 

raster/r.recode/testsuite/test_rrecode_ncspm.py

@@ -39,7 +39,7 @@ class TestNCMaps(TestCase):
     @classmethod
     def setUpClass(cls):
         cls.use_temp_region()
-        cls.runModule('g.region', rast='elevation@PERMANENT')
+        cls.runModule('g.region', raster='elevation@PERMANENT')
         cls.runModule('r.mapcalc', expression="random01 = rand(0, 1.)", seed=1, overwrite=True)
 
     @classmethod

raster/r.regression.line/r.regression.line.html

@@ -17,14 +17,14 @@ identical to that obtained from R-stats's lm() function.
 
 Comparison of the old and the new DEM in Spearfish:
 <div class="code"><pre>
-g.region rast=elevation.10m -p
+g.region raster=elevation.10m -p
 r.regression.line map1=elevation.dem map2=elevation.10m
 </pre></div>
 <p>
 Using the script style flag AND <em>eval</em> to make results
 available in the shell:
 <div class="code"><pre>
-g.region rast=elevation.10m -p
+g.region raster=elevation.10m -p
 eval `r.regression.line -g map1=elevation.dem map2=elevation.10m`
 echo $a
 479.615

raster/r.regression.multi/r.regression.multi.html

@@ -72,7 +72,7 @@ available through the R-function stepAIC.
 Multiple regression with soil K-factor and elevation, aspect, and slope
 (North Carolina dataset). Output maps are the residuals and estimates:
 <div class="code"><pre>
-g.region rast=soils_Kfactor -p
+g.region raster=soils_Kfactor -p
 r.regression.multi mapx=elevation,aspect,slope mapy=soils_Kfactor \
   residuals=soils_Kfactor.resid estimates=soils_Kfactor.estim
 </pre></div>

raster/r.relief/r.relief.html

@@ -53,7 +53,7 @@ In this example, the aspect map in the North Carolina sample
 dataset location is used to hillshade the elevation map:
 
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 r.relief input=elevation output=elevation_shade
 </pre></div>
 

raster/r.resamp.bspline/r.resamp.bspline.html

@@ -72,7 +72,7 @@ g.region n=north s=south e=east w=west align=input -p
 # interpolate NULL cells
 r.resamp.bspline -n input=input_raster output=interpolated_nulls method=bicubic
 # set region to area with NULL cells, align region to input map
-g.region rast=input -p
+g.region raster=input -p
 # patch original map and interpolated NULLs
 r.patch input=input_raster,interpolated_nulls output=input_raster_gapfilled
 </pre></div>
@@ -85,7 +85,7 @@ elevation values; missing pixels are then re-interpolated to obtain
 a complete elevation map:
 
 <div class="code"><pre>
-g.region rast=elev_srtm_30m -p
+g.region raster=elev_srtm_30m -p
 d.mon wx0
 d.histogram elev_srtm_30m
 

raster/r.resamp.interp/r.resamp.interp.html

@@ -44,7 +44,7 @@ Resample elevation raster map to a higher resolution (from 500m to 250m;
 North Carolina sample dataset):
 
 <div class="code"><pre>
-g.region rast=elev_state_500m -p
+g.region raster=elev_state_500m -p
 g.region res=250 -ap
 r.resamp.interp input=elev_state_500m output=elev_state_250m
 </pre></div>

raster/r.resamp.rst/BUGS

@@ -5,7 +5,7 @@ bugs in segmenting procedure and colortables
 Resolution bug: 
 
 r.resamp.rst N46E011.meters.90 el=N46E011.meters.1425 ew=14.25 ns=14.25
-GRASS 5.7.cvs:/nfsmnt/levi0/ssi/srtm_DEM90m_egm96geoid/original > g.region rast=N46E011.meters.1425 -p
+GRASS 5.7.cvs:/nfsmnt/levi0/ssi/srtm_DEM90m_egm96geoid/original > g.region raster=N46E011.meters.1425 -p
 projection: 1 (UTM)
 zone:       32
 datum:      WGS84

raster/r.resamp.rst/r.resamp.rst.html

@@ -100,13 +100,13 @@ Resampling the Spearfish 30m resolution elevation model to 15m:
  
 <div class="code"><pre>
 # set computation region to original map (30m)
-g.region rast=elevation.dem -p
+g.region raster=elevation.dem -p
 
 # resample to 15m
 r.resamp.rst input=elevation.dem ew_res=15 ns_res=15 elevation=elev15
 
 # set computation region to resulting map
-g.region rast=elev15 -p
+g.region raster=elev15 -p
 
 # verify
 r.univar elev15 -g

raster/r.resamp.stats/r.resamp.stats.html

@@ -30,7 +30,7 @@ North Carolina sample dataset):
 
 
 <div class="code"><pre>
-g.region rast=el_D782_6m -p
+g.region raster=el_D782_6m -p
 g.region res=20 -ap
 # from 6m to 20m: weighted resampling -w
 r.resamp.stats -w input=el_D782_6m output=el_D782_20m

raster/r.sim/r.sim.water/r.sim.water.html

@@ -140,7 +140,7 @@ for large, cutting-edge applications using high performance computing.
 Spearfish region:
 
 <div class="code"><pre>
-g.region rast=elevation.10m -p
+g.region raster=elevation.10m -p
 r.slope.aspect elevation=elevation.10m dx=elev_dx dy=elev_dy
 
 # synthetic maps

raster/r.sim/r.sim.water/spearfish.sh

@@ -7,7 +7,7 @@
 
 dem=elevation.10m
 output=simwe
-g.region rast=${output}
+g.region raster=${output}
 g.region n=4920800 s=4917800 w=602500 e=606000
 g.region -p
 

raster/r.slope.aspect/testsuite/test_r_slope_aspect.py

@@ -109,7 +109,7 @@ class TestSlopeAspectAgainstItself(grass.gunittest.TestCase):
     @classmethod
     def setUpClass(cls):
         cls.use_temp_region()
-        call_module('g.region', rast='elevation')
+        call_module('g.region', raster='elevation')
 
     @classmethod
     def tearDownClass(cls):
@@ -150,7 +150,7 @@ class TestExtremes(grass.gunittest.TestCase):
         aspect = 'small_aspect'
         self.runModule('r.in.ascii', input='-', output=elevation,
                        stdin_=SMALL_MAP)
-        call_module('g.region', rast=elevation)
+        call_module('g.region', raster=elevation)
         self.assertModule('r.slope.aspect', elevation=elevation,
                           slope=slope, aspect=aspect)
         self.assertRasterMinMax(map=slope, refmin=0, refmax=90,

raster/r.stats/test_suite/profile.sh

@@ -1,6 +1,6 @@
 #spearfish
 MAP=elevation.10m
-g.region rast=$MAP
+g.region raster=$MAP
 CMD="r.stats -a $MAP"
 
 time $CMD

raster/r.stream.extract/r.stream.extract.html

@@ -160,7 +160,7 @@ map produced with <em><a href="r.watershed.html">r.watershed</a></em>.
 
 <div class="code"><pre>
 # set region
-g.region -p rast=elev_ned_30m@PERMANENT
+g.region -p raster=elev_ned_30m@PERMANENT
 
 # calculate flow accumulation
 r.watershed ele=elev_ned_30m@PERMANENT acc=elevation.10m.acc

raster/r.sun/r.sun.html

@@ -255,7 +255,7 @@ memory_bytes = rows*cols*((IR*4+horizon_steps)/num_partitions  + OR*4)
 
 North Carolina example (considering also cast shadows):
 <div class="code"><pre>
-g.region rast=elevation -p
+g.region raster=elevation -p
 
 # calculate horizon angles (to speed up the subsequent r.sun calculation)
 r.horizon elevation=elevation step=30 bufferzone=200 basename=horangle \
@@ -277,7 +277,7 @@ for a given day of the year at 30m resolution. Here day 172 (i.e., 21 June
 in non-leap years):
 
 <div class="code"><pre>
-g.region rast=elev_ned_30m -p
+g.region raster=elev_ned_30m -p
 
 # considering cast shadows
 r.sun elevation=elev_ned_30m linke_value=2.5 albedo_value=0.2 day=172 \