Spatially explicit structural equation modeling

By E. Lamb, Kerrie L. Mengersen, K. Stewart, U. Attanayake, S. Siciliano. 2014

53 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Economics and Econometrics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/112dd45162e8c4711834d24163722d7b6f7aa8c3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. E. Lamb

In Economics and Econometrics

1. Gerard B. M. Heuvelink
2. Tomislav Hengl

In Nature and Landscape Conservation

1. S. Siciliano
2. E. Lamb
3. Haiyan Chu

Citations in the corpus

• Multivariate mapping of soil with structural equation modelling (2017, methodology): “Lamb et al. (2014) developed a tool to incorporate the spatial autocorrelation among variables in SEM.”
• Soil fertility is associated with fungal and bacterial richness, whereas pH is associated with community composition in polar soil microbial communities (2014, methodology): “Incorporating this spatial dependence requires expansion of the SEM causal framework (Shipley, 2000; Grace, 2006b) to incorporate spatially explicit dependent causal relationships such as the recently proposed spatially-explicit SEM methodology (Lamb et al., 2013).”