| utsnow_dtl2 {intkrige} | R Documentation |
An interval-valued design ground snow load dataset for Utah that only considers depth to load conversions.
Description
A dataset containing the interval-valued data used in the analysis of Bean et. at (2019). The 415 measurement locations included in the dataset are taken from Bean et. al. (2018).
Usage
utsnow_dtl2
Format
A data frame with 415 rows and 8 variables:
- STATION
The global historical climatological network (GHCN) station identifier
- STATION_NAME
The GHCN station name
- LATITUDE
Latitude coordinate position
- LONGITUDE
Longitude coordinate position
- ELEVATION
Elevation of the measurement location (meters)
- minDL
The lower endpoint of the interval-valued design snow load as measured in kilopascals (kpa)
- maxDL
The upper endpoint of the design snow load interval (kpa)
- pointDL
The original point-valued design snow load from the 2018 Utah Snow Load Study (kpa)
Details
The interval valued kriging analysis described in Bean et. al. (2019) analyzes this dataset on a log scale after removing the effect of elevation. An example of predictions using this workflow are found in the README associated with this package. Note that this dataset differs from utsnow in that intervals only consider differences in depth to load conversions. This dataset differs from utsnow_dtl in that intervals are only calculated at the final step of the analysis: after finding 50 year events using all 8 depth to load conversion techniques. utsnow_dtl rather created annual intervals, only fitting distributions to two sets of maximums (the annual lower and upper bounds), rather fitting 8 sets of maximums on all the depth-to-load conversion types.
References
Bean B, Sun Y, Maguire M (2019). “Interval-Valued Kriging Models for Geostatistical Mapping with Uncertain Inputs.” (publication pending).
Bean B, Maguire M, Sun Y (2018). “The Utah Snow Load Study.” https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=4591&context=cee_facpub.