t.rast.to.rast3(1grass) GRASS GIS User's Manual t.rast.to.rast3(1grass)
NAME
t.rast.to.rast3 - Converts a space time raster dataset into a 3D
raster map.
KEYWORDS
temporal, conversion, raster, raster3d, voxel, time
SYNOPSIS
t.rast.to.rast3
t.rast.to.rast3 --help
t.rast.to.rast3 input=name output=name [--overwrite] [--help]
[--verbose] [--quiet] [--ui]
Flags:
--overwrite
Allow output files to overwrite existing files
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog
Parameters:
input=name [required]
Name of the input space time raster dataset
output=name [required]
Name for output 3D raster map
DESCRIPTION
t.rast.to.rast3 is designed to convert a space time raster dataset
(STRDS) into a space time voxel cube. A space time voxel cube is a 3
dimensional raster map layer (3D raster map or voxel map layer) that as
time as unit for the z-dimension.
A space time raster dataset that should be converted into a space time
voxel cube must have a valid temporal topology. Hence, overlapping or
inclusion of time stamps is not allowed. The granularity of the STRDS
is used to set the resolution of the 3D raster map layer and to sample
the registered time stamped raster map layers.
Gaps between raster map layer in the STRDS will be represented by NULL
values in the voxel map layer.
NOTES
The reference time for all space time voxel cubes is
1900-01-0100:00:00. This allows the alignment space time voxel cubes
with different granularities.
Be aware that the granularity of a STRDS is used to sample time stamped
map layers! If you have gaps between monthly intervals that have the
size of a second, the monthly intervals will be sampled by a second
based granularity as well. This may result in millions of space time
voxel cube layers!
Management of open file limits
The maximum number of raster maps that can be processed is given by the
per-user limit of the operating system. For example, both the the hard
and soft limit for users is typically 1024. The soft limit can be
changed with e.g. ulimit -n 4096 (UNIX-based operating systems) but
not higher than the hard limit. If the latter is too low, you can as
superuser add an entry in
/etc/security/limits.conf
# <domain> <type> <item> <value>
your_username hard nofile 4096
This will raise the hard limit to 4096 files. Also have a look at the
overall limit of the operating system
cat /proc/sys/fs/file-max
which, on modern Linux systems, is several 100,000 files.
EXAMPLE
To create a voxel map layer from a subset of the tempmean_monthly space
time dataset, run:
# create the subset for 2012 data
t.rast.extract input=tempmean_monthly output=tempmean_monthly_later_2012 \
where="start_time >= ’2012-01-01’"
# set the right 3D region
g.region -p3 res3=500
# convert to 3D raster map
t.rast.to.rast3 input=tempmean_monthly_later_2012@climate_2009_2012 output=tempmean_monthly_2012
t.info type=raster_3d input=tempmean_monthly_2012
+-------------------- 3D Raster Dataset -------------------------------------+
| |
+-------------------- Basic information -------------------------------------+
| Id: ........................ tempmean_monthly_2012@climate_2009_2012
| Name: ...................... tempmean_monthly_2012
| Mapset: .................... climate_2009_2012
| Creator: ................... lucadelu
| Temporal type: ............. absolute
| Creation time: ............. 2014-11-28 11:10:51.679294
+-------------------- Absolute time -----------------------------------------+
| Start time:................. 2012-01-01 00:00:00
| End time:................... 2013-01-01 00:00:00
+-------------------- Spatial extent ----------------------------------------+
| North:...................... 320000.0
| South:...................... 10000.0
| East:.. .................... 935000.0
| West:....................... 120000.0
| Top:........................ 1357.0
| Bottom:..................... 1345.0
+-------------------- Metadata information ----------------------------------+
| Datatype:................... DCELL
| Number of columns:.......... 620
| Number of rows:............. 1630
| Number of cells:............ 12127200
| North-South resolution:..... 500.0
| East-west resolution:....... 500.0
| Minimum value:.............. -0.534994
| Maximum value:.............. 28.794653
| Number of depths:........... 12
| Top-Bottom resolution:...... 1.0
| Registered datasets ........
+----------------------------------------------------------------------------+
r3.info tempmean_monthly_2012
+----------------------------------------------------------------------------+
| Layer: tempmean_monthly_2012 Date: Fri Nov 28 11:10:50 2014 |
| Mapset: climate_2009_2012 Login of Creator: lucadelu |
| Location: nc_spm_temporal_workshop |
| DataBase: /grassdata |
| Title: Space time voxel cube |
| Units: none |
| Vertical unit: months |
| Timestamp: none |
|----------------------------------------------------------------------------|
| |
| Type of Map: 3d cell Number of Categories: 0 |
| Data Type: DCELL |
| Rows: 620 |
| Columns: 1630 |
| Depths: 12 |
| Total Cells: 12127200 |
| Total size: 28414287 Bytes |
| Number of tiles: 4230 |
| Mean tile size: 6717 Bytes |
| Tile size in memory: 23520 Bytes |
| Number of tiles in x, y and z: 47, 45, 2 |
| Dimension of a tile in x, y, z: 35, 14, 6 |
| |
| Projection: Lambert Conformal Conic (zone 0) |
| N: 320000 S: 10000 Res: 500 |
| E: 935000 W: 120000 Res: 500 |
| T: 1357 B: 1345 Res: 1 |
| Range of data: min = -0.53499434 max = 28.79465315 |
| |
| Data Source: |
| |
| |
| |
| Data Description: |
| This space time voxel cube was created with t.rast.to.rast3 |
| |
| Comments: |
| r.to.rast3 input="2012_01_tempmean@climate_2009_2012,2012_02_tempmea\ |
| n@climate_2009_2012,2012_03_tempmean@climate_2009_2012,2012_04_tempm\ |
| ean@climate_2009_2012,2012_05_tempmean@climate_2009_2012,2012_06_tem\ |
| pmean@climate_2009_2012,2012_07_tempmean@climate_2009_2012,2012_08_t\ |
| empmean@climate_2009_2012,2012_09_tempmean@climate_2009_2012,2012_10\ |
| _tempmean@climate_2009_2012,2012_11_tempmean@climate_2009_2012,2012_\ |
| 12_tempmean@climate_2009_2012" output="tempmean_monthly_2012" tilesi\ |
| ze=32 |
| |
+----------------------------------------------------------------------------+
SEE ALSO
r3.mapcalc, r3.info
AUTHOR
Sören Gebbert, Thünen Institute of Climate-Smart Agriculture
SOURCE CODE
Available at: t.rast.to.rast3 source code (history)
Accessed: unknown
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