Using new naming scheme

git-svn-id: https://svn.osgeo.org/grass/grass/trunk@51280 15284696-431f-4ddb-bdfa-cd5b030d7da7

temporal/tr.series/Makefile

@@ -1,7 +0,0 @@
-MODULE_TOPDIR = ../../
-
-PGM = tr.series
-
-include $(MODULE_TOPDIR)/include/Make/Script.make
-
-default: script $(TEST_DST)

temporal/tr.series/test.tr.series.sh

@@ -1,27 +0,0 @@
-# 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"
-
-tr.series --o input=precip_abs method=average output=prec_average where="start_time > '2001-03-01'"
-tr.series --o -t input=precip_abs method=maximum output=prec_max order=start_time
-tr.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

temporal/tr.series/tr.series.py

@@ -1,135 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-############################################################################
-#
-# MODULE:	tr.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()
-