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")
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A data frame with 4420 observations on the following 15 variables.
V1a 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.
V2a 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.
V3a factor identical to V2.
V4a factor identical to V2.
V5a factor identical to V2.
V6a factor identical to V2.
V7a factor identical to V2.
V8a factor identical to V2.
V9a factor identical to V2.
V10a factor identical to V2.
V11a factor identical to V2.
V12a factor identical to V2.
V13a factor identical to V2.
V14a factor identical to V2.
V15a 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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