Using new naming scheme

git-svn-id: https://svn.osgeo.org/grass/grass/trunk@51284 15284696-431f-4ddb-bdfa-cd5b030d7da7

temporal/tr.univar/Makefile

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

temporal/tr.univar/test.tr.univar.sh

@@ -1,22 +0,0 @@
-# Test the extraction of a subset of a space time raster input
-
-# 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
-# Data generation
-r.mapcalc --o expr="prec_1 = rand(0, 550)"
-r.mapcalc --o expr="prec_2 = rand(0, 450)"
-r.mapcalc --o expr="prec_3 = rand(0, 320)"
-r.mapcalc --o expr="prec_4 = rand(0, 510)"
-r.mapcalc --o expr="prec_5 = rand(0, 300)"
-r.mapcalc --o expr="prec_6 = rand(0, 650)"
-
-t.create --o type=strds temporaltype=absolute output=precip_abs1 title="A test" descr="A test"
-t.register type=rast --v -i input=precip_abs1 maps=prec_1,prec_2,prec_3,prec_4,prec_5,prec_6 start="2001-01-15 12:05:45" increment="14 days"
-
-# The first @test
-tr.univar -he input=precip_abs1 
-
-t.unregister type=rast maps=prec_1,prec_2,prec_3,prec_4,prec_5,prec_6
-t.remove type=strds input=precip_abs1

temporal/tr.univar/tr.univar.py

@@ -1,125 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-############################################################################
-#
-# MODULE:	tr.univar
-# AUTHOR(S):	Soeren Gebbert
-#
-# PURPOSE:	Calculates univariate statistics from the non-null cells for each registered raster map of 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: Calculates univariate statistics from the non-null cells for each registered raster map of a space time raster dataset
-#% keywords: spacetime raster dataset
-#% keywords: raster
-#% keywords: statistics
-#%end
-
-#%option G_OPT_STRDS_INPUT
-#%end
-
-#%option G_OPT_T_WHERE
-#%end
-
-#%option
-#% key: fs
-#% type: string
-#% description: The field separator character between the output columns
-#% required: no
-#% answer: |
-#%end
-
-#%flag
-#% key: e
-#% description: Calculate extended statistics
-#%end
-
-#%flag
-#% key: h
-#% description: Print column names 
-#%end
-
-import grass.script as grass
-import grass.temporal as tgis
-
-############################################################################
-
-def main():
-
-    # Get the options
-    input = options["input"]
-    where = options["where"]
-    extended = flags["e"]
-    header = flags["h"]
-    fs = options["fs"]
-
-    # Make sure the temporal database exists
-    tgis.create_temporal_database()
-    # We need a database interface
-    dbif = tgis.sql_database_interface()
-    dbif.connect()
-   
-    mapset =  grass.gisenv()["MAPSET"]
-
-    if input.find("@") >= 0:
-        id = input
-    else:
-        id = input + "@" + mapset
-
-    sp = tgis.space_time_raster_dataset(id)
-    
-    if sp.is_in_db(dbif) == False:
-        dbif.close()
-        grass.fatal(_("Space time %s dataset <%s> not found") % (sp.get_new_map_instance(None).get_type(), id))
-
-    sp.select(dbif)
-
-    rows = sp.get_registered_maps("id,start_time,end_time", where, "start_time", dbif)
-
-    if not rows:
-            dbif.close()
-            grass.fatal(_("Space time raster dataset <%s> is empty") % out_id)
-
-    if header == True:
-        print "id" + fs + "start" + fs + "end" + fs + "mean" + fs + "min" + fs + "max" + fs,
-        print "mean_of_abs" + fs + "stddev" + fs + "variance" + fs,
-        if extended == True:
-            print "coeff_var" + fs + "sum" + fs + "null_cells" + fs + "cells" + fs,
-            print "first_quartile" + fs + "median" + fs + "third_quartile" + fs + "percentile_90" 
-        else:
-            print "coeff_var" + fs + "sum" + fs + "null_cells" + fs + "cells" 
-
-    for row in rows:
-        id = row["id"]
-        start = row["start_time"]
-        end = row["end_time"]
-
-        flag="g"
-
-        if extended == True:
-            flag += "e"
-
-        stats = grass.parse_command("r.univar", map=id, flags=flag)
-
-        print str(id) + fs + str(start) + fs + str(end),
-        print fs + str(stats["mean"]) + fs + str(stats["min"]) + fs + str(stats["max"]) + fs + str(stats["mean_of_abs"]),
-        print fs + str(stats["stddev"]) + fs + str(stats["variance"]) + fs + str(stats["coeff_var"]) + fs + str(stats["sum"]),
-
-        if extended == True:
-            print fs + str(stats["null_cells"]) + fs + str(stats["cells"]) + fs,
-            print str(stats["first_quartile"]) + fs + str(stats["median"]) + fs + str(stats["third_quartile"]) + fs + str(stats["percentile_90"]) 
-        else:
-            print fs + str(stats["null_cells"]) + fs + str(stats["cells"])
-        
-    dbif.close()
-
-if __name__ == "__main__":
-    options, flags = grass.parser()
-    main()
-