1t.vect.observe.strds(1)       Grass User's Manual      t.vect.observe.strds(1)
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NAME

6       t.vect.observe.strds   -  Observes  specific  locations in a space time
7       raster dataset over a period of time using vector points.
8

KEYWORDS

10       temporal, sampling, vector, time
11

SYNOPSIS

13       t.vect.observe.strds
14       t.vect.observe.strds --help
15       t.vect.observe.strds input=name strds=name[,name,...] output=name  vec‐
16       tor_output=name      columns=string[,string,...]      [where=sql_query]
17       [--overwrite]  [--help]  [--verbose]  [--quiet]  [--ui]
18
19   Flags:
20       --overwrite
21           Allow output files to overwrite existing files
22
23       --help
24           Print usage summary
25
26       --verbose
27           Verbose module output
28
29       --quiet
30           Quiet module output
31
32       --ui
33           Force launching GUI dialog
34
35   Parameters:
36       input=name [required]
37           Name of input vector map
38           Or data source for direct OGR access
39
40       strds=name[,name,...] [required]
41           Name of the input space time raster datasets
42
43       output=name [required]
44           Name of the output space time vector dataset
45
46       vector_output=name [required]
47           Name of the new created vector map that stores the  sampled  values
48           in different layers
49
50       columns=string[,string,...] [required]
51           Names  of  the  vector  columns  to be created and to store sampled
52           raster values, one name for each STRDS
53
54       where=sql_query
55           WHERE conditions of SQL statement without ’where’ keyword
56           Example: income < 1000 and population >= 10000
57

DESCRIPTION

59       The module t.vect.observe.strds is used to observe  specific  locations
60       in  a  space  time  raster  dataset  over a period of time using vector
61       points.  The first input is a vector map layer with vector points.  The
62       second  input is one or several space time raster datasets (STRDS) that
63       should be sampled over time at the vector point  positions.  The  space
64       time  raster  dataset  will  be  sampled over its whole temporal extent
65       (from start to end). A column name must be  specified  for  each  input
66       space time raster dataset.
67
68       The  result  is  a new space time vector dataset that contains a single
69       (new) vector map which links to as many time-stamped  attribute  tables
70       as  raster  map  layers  are  present  in  the  input space time raster
71       dataset.  Hence, for each time step in the space time raster dataset  a
72       new attribute table is created. The GRASS GIS Temporal Framework allows
73       to time stamp attribute tables that can be linked to  a  single  vector
74       map layer.
75
76       The module v.what.rast is used internally for sampling the time stamped
77       raster map layers. All sampled values of a single time  stamped  raster
78       map layer are written into a new time stamped attribute table.
79
80       Use t.vect.db.select to print attribute values of the space time vector
81       dataset to stdout.
82

EXAMPLE

84       The example shows how to create a space time vector dataset and a  vec‐
85       tor layer starting from a point vector and a space time raster dataset:
86       t.vect.observe.strds input=precip_30ynormals_3d strds=tempmean_monthly \
87                            output=precip_stations vect=precip_stations_monthly \
88                            columns=month
89       t.info precip_stations type=stvds
90        +-------------------- Space Time Vector Dataset -----------------------------+
91        |                                                                            |
92        +-------------------- Basic information -------------------------------------+
93        | Id: ........................ precip_stations@climate_2009_2012
94        | Name: ...................... precip_stations
95        | Mapset: .................... climate_2009_2012
96        | Creator: ................... lucadelu
97        | Temporal type: ............. absolute
98        | Creation time: ............. 2014-12-02 00:42:39.187615
99        | Modification time:.......... 2014-12-02 00:42:55.215169
100        | Semantic type:.............. mean
101        +-------------------- Absolute time -----------------------------------------+
102        | Start time:................. 2009-01-01 00:00:00
103        | End time:................... 2013-01-01 00:00:00
104        | Granularity:................ 1 month
105        | Temporal type of maps:...... interval
106        +-------------------- Spatial extent ----------------------------------------+
107        | North:...................... 306221.830194
108        | South:...................... 27606.895351
109        | East:.. .................... 917004.829165
110        | West:....................... 151768.568246
111        | Top:........................ 1615.44
112        | Bottom:..................... 2.4384
113        +-------------------- Metadata information ----------------------------------+
114        | Vector register table:...... vector_map_register_be074525097c4088997c9a1979f17065
115        | Number of points ........... 6664
116        | Number of lines ............ 0
117        | Number of boundaries ....... 0
118        | Number of centroids ........ 0
119        | Number of faces ............ 0
120        | Number of kernels .......... 0
121        | Number of primitives ....... 6664
122        | Number of nodes ............ 0
123        | Number of areas ............ 0
124        | Number of islands .......... 0
125        | Number of holes ............ 0
126        | Number of volumes .......... 0
127        | Number of registered maps:.. 49
128        |
129        | Title:
130        | Observaion of space time raster dataset(s) tempmean_monthly
131        | Description:
132        | Observation of space time raster dataset(s) tempmean_monthly with vector map precip_30ynormals_3d
133        | Command history:
134        | # 2014-12-02 00:42:39
135        | t.vect.observe.strds input="precip_30ynormals_3d"
136        |     strds="tempmean_monthly" output="precip_stations"
137        |     vect="precip_stations_monthly" columns="month"
138        |
139        +----------------------------------------------------------------------------+
140       v.info precip_stations_monthly
141        +----------------------------------------------------------------------------+
142        | Name:            precip_stations_monthly                                   |
143        | Mapset:          climate_2009_2012                                         |
144        | Location:        nc_spm_temporal_workshop                                  |
145        | Database:        /grassdata                                                |
146        | Title:           North Carolina 30 year precipitation normals (3D)         |
147        | Map scale:       1:1                                                       |
148        | Name of creator: neteler                                                   |
149        | Organization:                                                              |
150        | Source date:     Wed May  9 14:32:39 2007                                  |
151        | Timestamp (first layer): none                                              |
152        |----------------------------------------------------------------------------|
153        | Map format:      native                                                    |
154        |----------------------------------------------------------------------------|
155        |   Type of map: vector (level: 2)                                           |
156        |                                                                            |
157        |   Number of points:       136             Number of centroids:  0          |
158        |   Number of lines:        0               Number of boundaries: 0          |
159        |   Number of areas:        0               Number of islands:    0          |
160        |   Number of faces:        0               Number of kernels:    0          |
161        |   Number of volumes:      0               Number of holes:      0          |
162        |                                                                            |
163        |   Map is 3D:              Yes                                              |
164        |   Number of dblinks:      49                                               |
165        |                                                                            |
166        |   Projection: Lambert Conformal Conic                                      |
167        |                                                                            |
168        |               N:     306221.830194    S:      27606.895351                 |
169        |               E:     917004.829165    W:     151768.568246                 |
170        |               B:            2.4384    T:           1615.44                 |
171        |                                                                            |
172        |   Digitization threshold: 0                                                |
173        |   Comment:                                                                 |
174        |                                                                            |
175        +----------------------------------------------------------------------------+
176

SEE ALSO

178        t.create, t.info, t.vect.db.select, t.vect.what.strds
179

AUTHOR

181       Sören Gebbert, Thünen Institute of Climate-Smart Agriculture
182

SOURCE CODE

184       Available at: t.vect.observe.strds source code (history)
185
186       Main index | Temporal index | Topics index | Keywords index | Graphical
187       index | Full index
188
189       © 2003-2019 GRASS Development Team, GRASS GIS 7.8.2 Reference Manual
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193GRASS 7.8.2                                            t.vect.observe.strds(1)
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