Predicting stream temperatures: geostatistical model comparison using alternative distance metrics
By Beth Gardner, P. Sullivan, A. Lembo. 2003
117 citations recorded by the source corpus.
Subfields: Ecology, Nature and Landscape Conservation, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/64836a9b20eb38243bea67967357c6adbec5d381
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In Ecology
In Nature and Landscape Conservation
In Water Science and Technology
Citations in the corpus
- A Moving Average Approach for Spatial Statistical Models of Stream Networks (2010, background): “KEY WORDS: Euclidean distance; Geostatistics; Kernel convolution; Spatial autocorrelation; Spatial linear model.”
- Daily river water temperature forecast model with a k‐nearest neighbour approach (2012, methodology): “Three neighbours were used to calculate the estimated temperature, and the weighting combination that yielded the best results was an equal weight on all three nearest neighbours.”
- Spatial designs and properties of spatial correlation: Effects on covariance estimation (2007, background): “However, there are situations in which riverine data is analyzed using distance along a stream network (Cressie and Majure 1997; Gardner et al. 2003; Ganio et al. 2005).”