View source: R/get_timeseries.R
get_timeseries_tsid | R Documentation |
Using the ts_id codes and by providing a given date period, download the corresponding time series from the waterinfo.be website
get_timeseries_tsid( ts_id, period = NULL, from = NULL, to = NULL, datasource = 1, token = NULL )
ts_id |
waterinfo.be database ts_id, defining a timeserie variable and frequency it is defined. |
period |
input string according to format required by waterinfo: De period string is provided as P#Y#M#DT#H#M#S, with P defines 'Period', each # is an integer value and the codes define the number of... Y - years M - months D - days T required if information about sub-day resolution is present H - hours D - days M - minutes S - seconds Instead of D (days), the usage of W - weeks is possible as well Examples of valid period strings: P3D, P1Y, P1DT12H, PT6H, P1Y6M3DT4H20M30S. |
from |
date of datestring as start of the time series |
to |
date of datestring as end of the time series |
datasource |
int [0-4] defines the 'meetnet' of which the measurement station is part of. VMM based stations are net '1', MOW-HIC is net '2' |
token |
token to use with the call (optional, can be retrieved via
|
A data.frame with 3 variables:
Datetime of the measurement.
Measured value.
Quality code of the measurement, dependent on the data source used:
VMM Quality Code Interpretation (datasource 1)
10/110 - Excellent
30/100/130 - Good
50/150 - Moderate
70/170 - Poor
80/180 - Estimated
90/190 - Suspect
220 - Default
-1 - Missing
HIC Quality Code Interpretation (datasource 2)
40 - Good
80 - Estimated
120 - Suspect
200 - Unchecked
60 - Complete
160 - Incomplete
-1 - Missing
Aggregated timeseries
40 - Good
100 - Estimated
120 - Suspect
200 - Unchecked
-1 - Missing
The URL of the specific request is provided as a comment attribute to the
returned data.frame. Use comment(df)
to get the request URL.
data.frame with the timestamps, values and quality code
get_timeseries_tsid("35055042", from = "2017-01-01", to = "2017-01-02") get_timeseries_tsid("5156042", period = "P3D") get_timeseries_tsid("55419010", from = "2017-06-01", to = "2017-06-03", datasource = 4)
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