Multiscale contextual spatial modelling with the Gaussian scale space
By Thorsten Behrens, K. Schmidt, R. MacMillan, R. V. Rossel. 2018
51 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/a05f0c8788fd3d8bdc818d46ccf3b1bef8542768
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Environmental Engineering
- Tomislav Hengl
- Gerard B. M. Heuvelink
- Marvin N. Wright
- Madlene Nussbaum
- Benedikt Gräler
- Dick Brus
- Budiman Minasny
- Alex B. McBratney
In Global and Planetary Change
Citations in the corpus
- Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (2018, methodology): “Using northing and easting63 as covariates in a random forest model may not help the prediction process as it leads to linear boundaries64 in the resulting map (obvious artifacts) which are directly related to the configuration of the sampling65 plan (Behrens et al., 2018b).”