An R platform for computing competition indices and experimenting with spatially explicit individual-based vegetation models.

• Master branch: Current siplab version 1.4 in CRAN, https://cran.r-project.org/package=siplab
• Development branch: Work in progress for next version.

Install the stable version from CRAN: install.packages("siplab")
or from the RStudio menus: Tools > Install Packages... > siplab

For testing the bleeding-edge development version from here use devtools::install_github("ogarciav/siplab")

Computing Hegyi's competition index:

hegyi <- pairwise(spruces, maxR=6, kernel=powers.ker,
    kerpar=list(pi=1, pj=1, pr=1, smark=1))
head(marks(hegyi))

Areas of Brown's APAs (aka Dirichlet cells or Voronoi polygons):

trees <- spruces
marks(trees) <- 100
apa <- assimilation(trees)
summary(marks(apa))

1. Computing Hegyi’s (and other) Competition Indices.
2. A Gentle Guide to Fully Spatial Models

• García, O. (2014). "Siplab, a spatial individual-based plant modelling system". Computational Ecology and Software 4(4): 215-222. PDF
• García, O. (2014). "A generic approach to spatial individual-based modelling and simulation of plant communities". Mathematical and Computational Forestry and Nat.-Res. Sci. (MCFNS) 6(1), 36-47. PDF
• García, O. (2014). "Can plasticity make spatial structure irrelevant in individual-tree models?" Forest Ecosystems 1, 16. PDF
• Lee, M. J. and García, O. (2016). "Plasticity and Extrapolation in Modeling Mixed-Species Stands". Forest Science 62(1): 1-8. PDF