Using new naming scheme

git-svn-id: https://svn.osgeo.org/grass/grass/trunk@51279 15284696-431f-4ddb-bdfa-cd5b030d7da7

temporal/t.rast.series/Makefile

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+MODULE_TOPDIR = ../../
+
+PGM = t.rast.series
+
+include $(MODULE_TOPDIR)/include/Make/Script.make
+
+default: script $(TEST_DST)

temporal/t.rast.series/t.rast.series.py

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+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+############################################################################
+#
+# MODULE:	t.rast.series
+# AUTHOR(S):	Soeren Gebbert
+#
+# PURPOSE:	Perform different aggregation algorithms from r.series on all or a selected subset of raster maps in a space time raster dataset
+# COPYRIGHT:	(C) 2011 by the GRASS Development Team
+#
+#		This program is free software under the GNU General Public
+#		License (version 2). Read the file COPYING that comes with GRASS
+#		for details.
+#
+#############################################################################
+
+#%module
+#% description: Perform different aggregation algorithms from r.series on all or a subset of raster maps in a space time raster dataset
+#% keywords: temporal
+#% keywords: series
+#%end
+
+#%option G_OPT_STRDS_INPUT
+#%end
+
+#%option
+#% key: method
+#% type: string
+#% description: Aggregate operation to be peformed on the raster maps
+#% required: yes
+#% multiple: no
+#% options: average,count,median,mode,minimum,min_raster,maximum,max_raster,stddev,range,sum,variance,diversity,slope,offset,detcoeff,quart1,quart3,perc90,quantile,skewness,kurtosis
+#% answer: average
+#%end
+
+#%option
+#% key: order
+#% type: string
+#% description: Sort the maps by category.
+#% required: no
+#% multiple: yes
+#% options: id, name, creator, mapset, creation_time, modification_time, start_time, end_time, north, south, west, east, min, max
+#% answer: id
+#%end
+
+#%option G_OPT_T_WHERE
+#%end
+
+#%option G_OPT_R_OUTPUT
+#%end
+
+#%flag
+#% key: t
+#% description: Assign the space time raster dataset start and end time to the output map
+#%end
+
+import grass.script as grass
+import grass.temporal as tgis
+
+############################################################################
+
+def main():
+
+    # Get the options
+    input = options["input"]
+    output = options["output"]
+    method = options["method"]
+    order = options["order"]
+    where = options["where"]
+    add_time = flags["t"]
+
+    # Make sure the temporal database exists
+    tgis.create_temporal_database()
+
+    if input.find("@") >= 0:
+        id = input
+    else:
+        mapset =  grass.gisenv()["MAPSET"]
+        id = input + "@" + mapset
+
+    sp = tgis.space_time_raster_dataset(id)
+
+    if sp.is_in_db() == False:
+        grass.fatal(_("Space time %s dataset <%s> not found") % (sp.get_new_map_instance(None).get_type(), id))
+
+    sp.select()
+
+    rows = sp.get_registered_maps("id", where, order, None)
+
+    if rows:
+        # Create the r.series input file
+        filename = grass.tempfile(True)
+        file = open(filename, 'w')
+
+        for row in rows:
+            string = "%s\n" % (row["id"])
+            file.write(string)
+        
+        file.close()
+
+        ret = grass.run_command("r.series", flags="z", file=filename, output=output, overwrite=grass.overwrite(), method=method)
+
+        if ret == 0 and add_time:
+            if sp.is_time_absolute():
+                start_time, end_time, tz = sp.get_absolute_time()
+            else:
+                start_time, end_time = sp.get_relative_time()
+                
+            # Create the time range for the output map
+            if output.find("@") >= 0:
+                id = output
+            else:
+                mapset =  grass.gisenv()["MAPSET"]
+                id = output + "@" + mapset
+
+            map = sp.get_new_map_instance(id)
+            map.load()
+
+            if sp.is_time_absolute():
+                map.set_absolute_time(start_time, end_time, tz)
+                map.write_absolute_time_to_file()
+            else:
+                map.set_relative_time(start_time, end_time)
+                map.write_relative_time_to_file()
+
+            # Register the map in the temporal database
+            if map.is_in_db():
+                map.update()
+            else:
+                map.insert()
+
+if __name__ == "__main__":
+    options, flags = grass.parser()
+    main()
+

temporal/t.rast.series/test.t.rast.series.sh

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+# We need to set a specific region in the
+# @preprocess step of this test. 
+# The region setting should work for UTM and LL test locations
+g.region s=0 n=80 w=0 e=120 b=0 t=50 res=10 res3=10 -p3
+
+r.mapcalc --o expr="prec_1 = 100"
+r.mapcalc --o expr="prec_2 = 200"
+r.mapcalc --o expr="prec_3 = 300"
+r.mapcalc --o expr="prec_4 = 400"
+r.mapcalc --o expr="prec_5 = 500"
+r.mapcalc --o expr="prec_6 = 600"
+
+# @test
+t.create --v --o type=strds temporaltype=absolute output=precip_abs title="A test" descr="A test"
+
+t.register --v type=rast input=precip_abs maps=prec_1,prec_2,prec_3,prec_4,prec_5,prec_6 start="2001-01-01" increment="1 months"
+
+t.rast.series --o input=precip_abs method=average output=prec_average where="start_time > '2001-03-01'"
+t.rast.series --o -t input=precip_abs method=maximum output=prec_max order=start_time
+t.rast.series --o -t input=precip_abs method=sum output=prec_sum
+
+t.unregister --v type=rast maps=prec_1,prec_2,prec_3,prec_4,prec_5,prec_6
+t.remove --v type=strds input=precip_abs
+
+r.info prec_average
+t.info type=rast input=prec_max
+t.info type=rast input=prec_sum