Description Usage Format Details Source Examples
Example dataset of 14 gauges in 30-min resolution in the Piura region of Peru. The dataset has a typical spread-sheet layout, such as obtained when reading a .csv, .xls or .txt file with coordinates, elevation and station names specified in the first rows and the temporal information thereafter.
1 | data("gauges.hh.piura")
|
A data frame with 4420 observations on the following 15 variables.
V1
a factor with levels Latitude
Longitude
Elevation
DATE
in the first four rows and 30-min time-stamps from 2014-04-01 00:00:00
to 2015-04-01 00:00:00
thereafter.
V2
a factor with levels specifying the latitude, longitude, elevation and station name/ code in the first four rows (in that order) and thereafter containing the gauge measurements corresponding to the dates in V1. V3 to V15 are set up identifally to V2.
V3
a factor identical to V2.
V4
a factor identical to V2.
V5
a factor identical to V2.
V6
a factor identical to V2.
V7
a factor identical to V2.
V8
a factor identical to V2.
V9
a factor identical to V2.
V10
a factor identical to V2.
V11
a factor identical to V2.
V12
a factor identical to V2.
V13
a factor identical to V2.
V14
a factor identical to V2.
V15
a factor identical to V2.
Example dataset of 14 gauges in 30-min resolution in the Piura region of Peru. The dataset has a typical spread-sheet layout, such as obtained when reading a .csv, .xls or .txt file with coordinates, elevation and station names specified in the first rows and the temporal information thereafter.
iMHEA monitoring programme (Wouter Buytaert, Imperial College London)
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