xenial (1) t.vect.observe.strds.1grass.gz

Provided by: grass-doc_7.0.3-1build1_all bug

NAME

       t.vect.observe.strds   - Observes specific locations in a space time raster dataset over a period of time
       using vector points.

KEYWORDS

       temporal, sampling, vector, time

SYNOPSIS

       t.vect.observe.strds
       t.vect.observe.strds --help
       t.vect.observe.strds      input=name      strds=name[,name,...]      output=name       vector_output=name
       columns=string[,string,...]     [where=sql_query]      [t_where=sql_query]      [--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 input vector map
           Or data source for direct OGR access

       strds=name[,name,...] [required]
           Name of the input space time raster datasets

       output=name [required]
           Name of the output space time vector dataset

       vector_output=name [required]
           Name of the new created vector map that stores the sampled values in different layers

       columns=string[,string,...] [required]
           Names of the vector columns to be created and to store sampled raster values, one name for each STRDS

       where=sql_query
           WHERE conditions of SQL statement without ’where’ keyword
           Example: income < 1000 and inhab >= 10000

       t_where=sql_query
           WHERE conditions of SQL statement without ’where’ keyword used in the temporal GIS framework
           Example: start_time > ’2001-01-01 12:30:00’

DESCRIPTION

       The module t.vect.observe.strds is used to observe specific locations in a space time raster dataset over
       a  period  of  time  using  vector points.  The first input is a vector map layer with vector points. The
       second input is one or several space time raster datasets (STRDS) that should be sampled over time at the
       vector  point  positions.  The  space  time raster dataset will be sampled over its whole temporal extent
       (from start to end). The range can be adjusted using the temporal where condition t_where. A column  name
       must be specified for each input space time raster dataset.

       As  results   a  new  space time vector dataset is generated that contains a single (new) vector map that
       links to as many time stamped attribute tables as raster map layer are present in the  input  space  time
       raster  dataset.  Hence,  for  each  time  step in the space time raster dataset a new attribute table is
       created. The GRASS GIS Temporal Framework allows to time stamp attribute tables that can be linked  to  a
       single vector map layer.

       The  module  v.what.rast  is used internally for sampling the time stamped raster map layers. All sampled
       values of a single time stamped raster map layer are written into a new time stamped attribute table.

       Use t.vect.db.select to print attribute values of the space time vector dataset to stdout.

EXAMPLE

       The example show how to create a space time vector dataset and a  vector  layer  starting  from  a  point
       vector and a space time raster dataset:
       t.vect.observe.strds input=precip_30ynormals_3d strds=tempmean_monthly \
                            output=precip_stations vect=precip_stations_monthly \
                            columns=month
       t.info precip_stations type=stvds
        +-------------------- Space Time Vector Dataset -----------------------------+
        |                                                                            |
        +-------------------- Basic information -------------------------------------+
        | Id: ........................ precip_stations@climate_2009_2012
        | Name: ...................... precip_stations
        | Mapset: .................... climate_2009_2012
        | Creator: ................... lucadelu
        | Temporal type: ............. absolute
        | Creation time: ............. 2014-12-02 00:42:39.187615
        | Modification time:.......... 2014-12-02 00:42:55.215169
        | Semantic type:.............. mean
        +-------------------- Absolute time -----------------------------------------+
        | Start time:................. 2009-01-01 00:00:00
        | End time:................... 2013-01-01 00:00:00
        | Granularity:................ 1 month
        | Temporal type of maps:...... interval
        +-------------------- Spatial extent ----------------------------------------+
        | North:...................... 306221.830194
        | South:...................... 27606.895351
        | East:.. .................... 917004.829165
        | West:....................... 151768.568246
        | Top:........................ 1615.44
        | Bottom:..................... 2.4384
        +-------------------- Metadata information ----------------------------------+
        | Vector register table:...... vector_map_register_be074525097c4088997c9a1979f17065
        | Number of points ........... 6664
        | Number of lines ............ 0
        | Number of boundaries ....... 0
        | Number of centroids ........ 0
        | Number of faces ............ 0
        | Number of kernels .......... 0
        | Number of primitives ....... 6664
        | Number of nodes ............ 0
        | Number of areas ............ 0
        | Number of islands .......... 0
        | Number of holes ............ 0
        | Number of volumes .......... 0
        | Number of registered maps:.. 49
        |
        | Title:
        | Observaion of space time raster dataset(s) tempmean_monthly
        | Description:
        | Observation of space time raster dataset(s) tempmean_monthly with vector map precip_30ynormals_3d
        | Command history:
        | # 2014-12-02 00:42:39
        | t.vect.observe.strds input="precip_30ynormals_3d"
        |     strds="tempmean_monthly" output="precip_stations"
        |     vect="precip_stations_monthly" columns="month"
        |
        +----------------------------------------------------------------------------+
       v.info precip_stations_monthly
        +----------------------------------------------------------------------------+
        | Name:            precip_stations_monthly                                   |
        | Mapset:          climate_2009_2012                                         |
        | Location:        nc_spm_temporal_workshop                                  |
        | Database:        /grassdata                                                |
        | Title:           North Carolina 30 year precipitation normals (3D)         |
        | Map scale:       1:1                                                       |
        | Name of creator: neteler                                                   |
        | Organization:                                                              |
        | Source date:     Wed May  9 14:32:39 2007                                  |
        | Timestamp (first layer): none                                              |
        |----------------------------------------------------------------------------|
        | Map format:      native                                                    |
        |----------------------------------------------------------------------------|
        |   Type of map: vector (level: 2)                                           |
        |                                                                            |
        |   Number of points:       136             Number of centroids:  0          |
        |   Number of lines:        0               Number of boundaries: 0          |
        |   Number of areas:        0               Number of islands:    0          |
        |   Number of faces:        0               Number of kernels:    0          |
        |   Number of volumes:      0               Number of holes:      0          |
        |                                                                            |
        |   Map is 3D:              Yes                                              |
        |   Number of dblinks:      49                                               |
        |                                                                            |
        |   Projection: Lambert Conformal Conic                                      |
        |                                                                            |
        |               N:     306221.830194    S:      27606.895351                 |
        |               E:     917004.829165    W:     151768.568246                 |
        |               B:            2.4384    T:           1615.44                 |
        |                                                                            |
        |   Digitization threshold: 0                                                |
        |   Comment:                                                                 |
        |                                                                            |
        +----------------------------------------------------------------------------+

SEE ALSO

        t.create, t.info, t.vect.db.select, t.vect.what.strds

AUTHOR

       Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

       Last changed: $Date: 2015-09-22 10:12:20 +0200 (Tue, 22 Sep 2015) $

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