Description Usage Arguments Value
For the input official wind speed data with locations, first find their quantiles from 0.01 to 1 with step interval of 0.01 (100 in total), then for quantiles at each level using ordinary kriging to interpolate estimated quantiles at other locations.
1 2 3 4 5 6 7 8 9 10 | kriging_quantiles.new(
official.windspeed,
datetime.sequence,
official.longitude,
official.latitude,
split.season = TRUE,
station.id,
station.longitude,
station.latitude
)
|
official.windspeed |
a data.frame of official/reference wind speed observations, each column represents an individual station, each row represents a timestamp. |
datetime.sequence |
the date time stamps/sequence of the data |
official.longitude |
a numeric vector, contains longitude information of official stations,
should relate to the column names (station IDs) of |
official.latitude |
a numeric vector, contains latitude information of official stations,
should relate to the column names (station IDs) of |
split.season |
a logical, if |
station.id |
a list of test station IDs, relating to |
station.longitude |
a numeric vector, contains longitude information of test stations,
should relate to the column names (station IDs) of |
station.latitude |
a numeric vector, contains latitude information of test stations,
should relate to the column names (station IDs) of |
a large list of interpolated quantiles for different test station, each sublist includes estimate quantiles (0.01-1.00) during each of the six periods.
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