Encyclopedia of Quaternary Science 2013
DOI: 10.1016/b978-0-444-53643-3.00086-8
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GLACIAL LANDFORMS, SEDIMENTS | Micromorphology of Glacial Sediments

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“…Universal kriging was then used to calculate geographically interpolated surfaces with spatial linear dependence, especially useful for predicting environmental conditions for areas not included in the original layers (e.g., a newly available coastal region). For each input layer, we determined a variogram where the layer values were linearly dependent on the spatial coordinates (i.e., in R notation, bio ~ longitude + latitude) with the autofitVariogram function from the R package automaps ( Hiemstra and Hiemstra 2013 ). Next, universal kriging was implemented using the krige function from the R package gstat ( Pebesma 2019 ).…”
Section: Methodsmentioning
confidence: 99%
“…Universal kriging was then used to calculate geographically interpolated surfaces with spatial linear dependence, especially useful for predicting environmental conditions for areas not included in the original layers (e.g., a newly available coastal region). For each input layer, we determined a variogram where the layer values were linearly dependent on the spatial coordinates (i.e., in R notation, bio ~ longitude + latitude) with the autofitVariogram function from the R package automaps ( Hiemstra and Hiemstra 2013 ). Next, universal kriging was implemented using the krige function from the R package gstat ( Pebesma 2019 ).…”
Section: Methodsmentioning
confidence: 99%