| 12345678910111213141516171819202122232425262728293031 |
- #!/bin/sh
- # Space time raster dataset aggregation
- # 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
- # Generate data
- 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 -i type=rast 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
- t.rast.aggregate --o --v input=precip_abs1 output=precip_abs2 base=prec_sum granularity="2 days" method=average sampling=start,during
- t.info type=strds input=precip_abs2
- t.rast.aggregate --o --v input=precip_abs1 output=precip_abs2 base=prec_sum granularity="1 months" method=maximum sampling=start,during
- t.info type=strds input=precip_abs2
- t.rast.aggregate --o --v input=precip_abs1 output=precip_abs2 base=prec_sum granularity="2 months" method=minimum sampling=start,during
- t.info type=strds input=precip_abs2
- t.rast.aggregate --o --v input=precip_abs1 output=precip_abs2 base=prec_sum granularity="3 months" method=sum sampling=start,during
- t.info type=strds input=precip_abs2
- t.unregister type=rast maps=prec_1,prec_2,prec_3,prec_4,prec_5,prec_6
- t.remove type=strds input=precip_abs1,precip_abs2
|
