Less than eight (and a half) misconceptions of spatial analysis
By I. Kühn, Carsten F. Dormann. 2012
93 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/42c5f60d21683951e827917160c4f50f8d36b48a
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
- David L. Strayer
- Budiman Minasny
- Christopher J. Lortie
- Alex B. McBratney
- Petr Pyšek
- Tina Heger
- S. Haider
- Jonathan M. Jeschke
In Environmental Engineering
- Budiman Minasny
- Alex B. McBratney
- Alexandre M. J.-C. Wadoux
- Christopher J. Lortie
- Petr Pyšek
- Sabine Grunwald
- Tomislav Hengl
- R. M. Lark
Citations in the corpus
- Machine learning for digital soil mapping: Applications, challenges and suggested solutions (2020, background): “Kühn and Dormann (2012) recommend mapping the spatial distribution of the residual autocorrelation to facilitate the identification of a missing spatial process.”
- Support for major hypotheses in invasion biology is uneven and declining (2012, background): “…from biotic processes such as growth, dispersal, and mortality) or simply due to model misspecification (i.e. ignoring an important variable of spatial structure or falsely assuming a linear relationship that indeed is non-linear; Dormann et al. 2007, Anderson et al. 2010, Kühn and Dormann 2012).”