interpolation.coverage.RdFunction interpolation.coverage calculates, for each meteorological variable, the number of stations with data per date or the number of dates with data per station in an object of class MeteorologyInterpolationData-class.
interpolation.coverage(object, type = "spatial", percent = FALSE)An object of class MeteorologyInterpolationData-class.
A string with the coverage summary to be produced (either "spatial" or "temporal").
A boolean flag to indicate that percentages should be returned instead of counts.
If type = "spatial" the function returns an object of class SpatialPointsDataFrame with the number (or percentage) of dates with data per station and meteorological variable. If type = "temporal" the function returns an object of class data.frame with the number (or percentage) of stations with data per day and meteorological variable.
De Caceres M, Martin-StPaul N, Turco M, Cabon A, Granda V (2018) Estimating daily meteorological data and downscaling climate models over landscapes. Environmental Modelling and Software 108: 186-196.
data(exampleinterpolationdata)
#Number of days with data per station
head(interpolation.coverage(exampleinterpolationdata))
#> coordinates MinTemperature MaxTemperature Precipitation
#> C7 (347104, 4614634) 1456 1454 1456
#> C8 (358240, 4615380) 1450 1449 1450
#> CA (382829, 4645816) 1444 1444 1444
#> VD (350600, 4616925) 1461 1461 1461
#> VP (377232, 4628439) 1461 1461 1461
#> W5 (360730, 4659875) 1288 1288 1288
#> RelativeHumidity Radiation WindSpeed WindDirection
#> C7 0 0 0 0
#> C8 0 0 0 0
#> CA 0 0 0 0
#> VD 0 0 0 0
#> VP 0 0 0 0
#> W5 0 0 0 0
#Number of stations with data per day
head(interpolation.coverage(exampleinterpolationdata, type = "temporal"))
#> MinTemperature MaxTemperature Precipitation RelativeHumidity
#> 2000-01-01 13 13 14 1
#> 2000-01-02 13 13 14 1
#> 2000-01-03 13 13 14 1
#> 2000-01-04 13 13 14 1
#> 2000-01-05 13 13 14 1
#> 2000-01-06 13 13 14 1
#> Radiation WindSpeed WindDirection
#> 2000-01-01 0 1 1
#> 2000-01-02 0 1 1
#> 2000-01-03 0 1 1
#> 2000-01-04 0 1 1
#> 2000-01-05 0 1 1
#> 2000-01-06 0 1 1