Summarise interpolator objects by temporal dimension
summarise_interpolator.Rd![[Experimental]](figures/lifecycle-experimental.svg)
Summarises an interpolator object by the desired temporal scale.
summarise_interpolator(
interpolator,
fun = "mean",
frequency = NULL,
vars_to_summary = c("Temperature", "MinTemperature", "MaxTemperature", "Precipitation",
"RelativeHumidity", "MinRelativeHumidity", "MaxRelativeHumidity", "Radiation",
"WindSpeed", "WindDirection", "PET", "SmoothedPrecipitation",
"SmoothedTemperatureRange", "elevation", "slope", "aspect"),
dates_to_summary = NULL,
months_to_summary = 1:12,
verbose = getOption("meteoland_verbosity", TRUE),
...
)Arguments
- interpolator
An interpolator object as created by
create_meteo_interpolator.- fun
The function to use for summarising the data.
- frequency
A string indicating the interval specification (allowed ones are "week", "month", "quarter" and "year"). If NULL (default), aggregation is done in one interval for all the dates present.
- vars_to_summary
A character vector with one or more variable names to summarise. By default, all interpolated variables are summarised.
- dates_to_summary
A Date object to define the dates to be summarised. If NULL (default), all dates in the interpolated data are processed.
- months_to_summary
A numeric vector with the month numbers to subset the data before summarising. (e.g.
c(7,8)for July and August). This parameter allows studying particular seasons, when combined withfrequency. For examplefrequency = "years"andmonths = 6:8leads to summarizing summer months of each year.- verbose
Logical indicating if the function must show messages and info. Default value checks
"meteoland_verbosity"option and if not set, defaults to TRUE. It can be turned off for the function with FALSE, or session wide withoptions(meteoland_verbosity = FALSE)- ...
Arguments needed for
fun
Value
summarise_interpolator function returns the same interpolator object provided with the
temporal dimension aggregated to desired frequency.
Examples
# \donttest{
# example interpolator
meteoland_interpolator_example
#> stars object with 2 dimensions and 13 attributes
#> attribute(s):
#> Min. 1st Qu. Median Mean 3rd Qu.
#> Temperature -14.200000 8.800000 12.60000 11.324991 14.80000
#> MinTemperature -15.900000 3.300000 6.90000 5.883189 9.40000
#> MaxTemperature -13.000000 13.900000 18.30000 17.364292 21.80000
#> RelativeHumidity 18.000000 57.000000 67.00000 67.720000 78.00000
#> Precipitation 0.000000 0.000000 0.00000 1.925434 0.10000
#> Radiation 7.707484 17.717235 22.04597 20.762628 23.61352
#> WindDirection 0.000000 116.000000 217.00000 196.861908 275.00000
#> WindSpeed 0.200000 0.900000 1.30000 1.603907 2.00000
#> elevation 0.000000 147.000000 317.00000 515.629630 668.00000
#> aspect 0.000000 0.000000 0.00000 0.000000 0.00000
#> slope 0.000000 0.000000 0.00000 0.000000 0.00000
#> SmoothedPrecipitation 0.100000 1.862500 5.55000 6.197496 9.07500
#> SmoothedTemperatureRange 4.695000 9.863542 11.66307 11.400932 13.26868
#> Max. NA's
#> Temperature 23.40000 148
#> MinTemperature 20.10000 138
#> MaxTemperature 29.90000 139
#> RelativeHumidity 100.00000 145
#> Precipitation 160.90000 79
#> Radiation 28.10878 139
#> WindDirection 359.00000 4171
#> WindSpeed 6.90000 4160
#> elevation 2535.00000 0
#> aspect 0.00000 0
#> slope 0.00000 0
#> SmoothedPrecipitation 65.10000 818
#> SmoothedTemperatureRange 17.72778 124
#> dimension(s):
#> from to offset delta refsys point
#> date 1 30 2022-04-01 UTC 1 days POSIXct FALSE
#> station 1 189 NA NA WGS 84 TRUE
#> values
#> date NULL
#> station POINT (0.95172 41.6566),...,POINT (1.89716 42.32211)
# aggregate all dates in the interpolator, calculating the maximum values
summarise_interpolator(meteoland_interpolator_example, fun = "max")
#> stars object with 2 dimensions and 13 attributes
#> attribute(s):
#> Min. 1st Qu. Median Mean 3rd Qu.
#> Temperature 4.40000 16.200000 17.50000 16.893443 18.90000
#> MinTemperature 1.90000 10.000000 11.75000 11.290761 12.92500
#> MaxTemperature 8.20000 24.300000 25.80000 24.790761 27.50000
#> Precipitation 6.80000 18.025000 23.80000 25.743548 29.47500
#> RelativeHumidity 84.00000 92.000000 96.00000 95.295082 99.00000
#> Radiation 22.23314 24.933313 25.69993 25.581177 26.20250
#> WindSpeed 1.40000 3.200000 3.90000 3.991837 5.10000
#> WindDirection 216.00000 306.000000 340.00000 327.346939 354.00000
#> SmoothedPrecipitation 4.45000 9.876667 11.36000 12.175889 14.76500
#> SmoothedTemperatureRange 5.93750 10.535570 12.40588 12.117069 14.03814
#> elevation 0.00000 147.000000 317.00000 515.629630 668.00000
#> slope 0.00000 0.000000 0.00000 0.000000 0.00000
#> aspect 0.00000 0.000000 0.00000 0.000000 0.00000
#> Max. NA's
#> Temperature 23.40000 6
#> MinTemperature 20.10000 5
#> MaxTemperature 29.90000 5
#> Precipitation 160.90000 3
#> RelativeHumidity 100.00000 6
#> Radiation 28.10878 5
#> WindSpeed 6.90000 140
#> WindDirection 359.00000 140
#> SmoothedPrecipitation 29.30000 129
#> SmoothedTemperatureRange 17.72778 5
#> elevation 2535.00000 0
#> slope 0.00000 0
#> aspect 0.00000 0
#> dimension(s):
#> from to refsys point
#> date 1 1 POSIXct NA
#> station 1 189 WGS 84 TRUE
#> values
#> date 2022-04-01 CEST
#> station POINT (0.95172 41.6566),...,POINT (1.89716 42.32211)
# aggregate weekly, calculating mean values
summarise_interpolator(meteoland_interpolator_example, frequency = "week")
#> stars object with 2 dimensions and 13 attributes
#> attribute(s):
#> Min. 1st Qu. Median Mean
#> Temperature -13.600000 7.714286 12.1071429 10.581211
#> MinTemperature -15.666667 2.246429 6.3666667 5.168547
#> MaxTemperature -10.000000 13.500000 18.3357143 16.610800
#> Precipitation 0.000000 0.000000 0.2666667 1.727146
#> RelativeHumidity 36.666667 57.857143 66.6666667 65.878442
#> Radiation 12.820177 19.166860 20.6693138 20.719565
#> WindSpeed 0.600000 1.161905 1.5142857 1.739622
#> WindDirection 43.285714 168.285714 206.8571429 202.485561
#> SmoothedPrecipitation 0.100000 2.810238 5.4536905 6.050388
#> SmoothedTemperatureRange 4.822367 9.903581 11.7322300 11.440517
#> elevation 0.000000 147.000000 317.0000000 515.629630
#> slope 0.000000 0.000000 0.0000000 0.000000
#> aspect 0.000000 0.000000 0.0000000 0.000000
#> 3rd Qu. Max. NA's
#> Temperature 14.367857 18.15000 25
#> MinTemperature 8.707143 14.83333 23
#> MaxTemperature 20.571429 25.03333 23
#> Precipitation 2.759524 29.51429 13
#> RelativeHumidity 75.000000 94.85714 25
#> Radiation 22.198744 27.06309 23
#> WindSpeed 2.085714 5.70000 694
#> WindDirection 242.000000 350.00000 696
#> SmoothedPrecipitation 8.487679 46.68286 299
#> SmoothedTemperatureRange 13.316941 17.39137 21
#> elevation 668.000000 2535.00000 0
#> slope 0.000000 0.00000 0
#> aspect 0.000000 0.00000 0
#> dimension(s):
#> from to offset delta refsys point
#> date 1 5 2022-03-28 CEST 7 days POSIXct NA
#> station 1 189 NA NA WGS 84 TRUE
#> values
#> date NULL
#> station POINT (0.95172 41.6566),...,POINT (1.89716 42.32211)
# }