Inference and uncertainty of snow depth spatial distribution at the kilometre scale in the Colorado Rocky Mountains: the effects of sample size, random sampling, predictor quality, and validation procedures

Author:

McCreight J. L.12,Slater A. G.2,Marshall H. P.3,Rajagopalan B.12

Affiliation:

1. Department of Civil, Environmental, and Architectural Engineering; University of Colorado; Boulder CO USA

2. Cooperative Institute for Research in Environmental Sciences; University of Colorado; Boulder CO USA

3. Center for the Geophysical Investigation of the Shallow Subsurface; Boise State University; Boise ID USA

Publisher

Wiley

Subject

Water Science and Technology

Reference42 articles.

1. Combining binary decision tree and geostatistical methods to estimate snow distribution in a mountain watershed;Balk;Water Resources Research,2000

2. Using the R-GRASS interface: current status;Bivand;OSGeo Journal,2007

3. Scaling issues in snow hydrology;Bloschl;Hydrological Processes,1999

4. Bagging predictors;Breiman;Machine Learning,1996

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