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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]    [--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 population >= 10000

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). A
       column name must be specified for each input space time raster dataset.

       The result is a new space time vector dataset that contains  a  single  (new)  vector  map
       which  links  to as many time-stamped attribute tables as raster map layers 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 shows 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: 2016-10-27 23:20:55 +0200 (Thu, 27 Oct 2016) $

SOURCE CODE

       Available at: t.vect.observe.strds source code (history)

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       © 2003-2019 GRASS Development Team, GRASS GIS 7.6.1 Reference Manual