t.vect.what.strdsgrass - Online in the Cloud

PROGRAM:

NAME

t.vect.what.strds - Stores raster map values at spatial and temporal positions of vector
points as vector attributes.

KEYWORDS

temporal, sampling, vector, time

SYNOPSIS

t.vect.what.strds
t.vect.what.strds --help
t.vect.what.strds input=name strds=name [column=string] method=string [where=sql_query]
[t_where=sql_query] [sampling=name[,name,...]] [--help] [--verbose] [--quiet]
[--ui]

Flags:
--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 vector dataset

strds=name [required]
Name of the input space time raster dataset

column=string
Name of the vector column to be created and to store sampled raster values
The use of a column name forces t.vect.what.rast to sample only values from the first
map found in an interval. Otherwise the raster map names are used as column names

method=string [required]
Aggregate operation to be performed on the raster maps
Options: disabled, average, count, median, mode, minimum, min_raster, maximum,
max_raster, stddev, range, sum, variance, diversity, slope, offset, detcoeff, quart1,
quart3, perc90, quantile, skewness, kurtosis
Default: disabled

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’

sampling=name[,name,...]
The method to be used for sampling the input dataset
Options: start, during, overlap, contain, equal, follows, precedes
Default: start

DESCRIPTION

The module t.vect.what.strds samples a space time raster dataset at spatio-temporal
locations of a space time vector dataset.

EXAMPLE

The example is based on the space time vector dataset "precip_stations@climate_2009_2012"
created in the t.vect.observe.strds example. In below example the command fills the new
column "new_temp" with values extracted from the "tempmean_monthly" space time raster
dataset:
t.vect.what.strds input=precip_stations@climate_2009_2012 \
strds=tempmean_monthly@climate_2009_2012 \
column=new_temp method=average

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