Hydrological Tools for Handling Hydro-Meteorological Data Records
Aggregates a data frame to a larger time period
Aggregates a data frame to annually resolution
Aggregates a data frame to climatic resolution
Aggregates a data frame to daily resolution
Aggregates a data frame to hourly resolution
Aggregates a data frame to monthly resolution
Create a basic data frame for plotting
Check class for arguments
Check cross for argument coherence
Check argument length
Check numeric argument consistency
Check string argument consistency
Get an specific matrix columns statistics.
Cumulative sum
Rescale the data frame values in order to graph a dual y axis plot
Find non-reported dates and fill them with NA_*
Creates suitable table for ggplot2
Aggregates the table inside a slot to a larger time period
Load native data files automatically
Load native data files automatically
Creates an hydromet object.
Extract the slot
Melt many objects into an hydromet_compact
class object
Create, modify and delete columns inside a slot
Set new column names
Methods to easily use ggplot2
or plotly
(interactive)
Get a summary report of your data
Set the data of an hydromet
object or its subclass
Easy access to see your data
Subset your data by dates
hydromet
superclass object
hydromet
subclass for compact data
hydromet
subclass for store hydro-meteorological records.
Interpolation
Moving average windows
Monthly river discharge [m3/s] to volume [hm3]
Reads data from AIC
Reads data from Explorador Climático (CR2 - Chile)
Reads data from Departamento General de Irrigación - Hydrological Divi...
Reads data from Sistema de Monitoreo Meteorológico de Alta Montaña (IA...
Reads data provided by MNEMOS software (SNIH - Argentina)
Reads data from Servicio Nacional de Información Hídrica [(SNIH - Arge...
Objects exported from other packages
Report NA_real_
values inside a table.
Remove spikes
Rolling functions
Set a threshold
Set user defined values
Snow Water Equivalent to melt or snowfall
Read, plot, manipulate and process hydro-meteorological data records (with special features for Argentina and Chile data-sets).
Useful links