plantcomp

This dataset summarizes plant community characteristics, competition
  intensity, and topographic features in a mesic grassland in central
  Alberta, Canada.

datasets

Structural equation modeling (SEM) is a powerful statistical
    approach for the testing of networks of direct and indirect theoretical
    causal relationships in complex datasets with intercorrelated dependent and
    independent variables. Here we implement a simple method for spatially
    explicit SEM (SE-SEM) based on the analysis of variance covariance matrices
    calculated across a range of lag distances. This method provides readily
    interpretable plots of the change in path coefficients across scale.

Eric Lamb

sesem

Spatially explicit structural equation modeling

plantcomp function

A data frame with 192 rows and 10 variables.

format

Lamb, E. G. and J. F. Cahill. 2008. When competition does not matter: grassland diversity and community composition. <em>American Naturalist</em> <b>171</b>:777-787

plantcomp: Plant Competition dataset

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