Description Usage Arguments Value
View source: R/kriging_quantile_true.R
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 | kriging_quantile_true(
official.windspeed,
datetime.sequence,
official.longitude,
official.latitude,
split.season = TRUE
)
|
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 |
a large list that contains the estimated quantiles at different locations of each period. It has 6 sublists, each one represent a certain period; Each sublist includes estimated quantiles from 0.01 to 1 at thousands of new locations.
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