An R platform for computing competition indices and experimenting with spatially explicit individual-based vegetation models.
Current stable siplab version 1.6 on CRAN: https://cran.r-project.org/package=siplab
Install the stable version from CRAN: install.packages("siplab")
or with 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))- [Computing Hegyi’s (and other) Competition Indices.]https://cran.r-project.org/web/packages/siplab/vignettes/cindex.pdf
- [A Gentle Guide to Fully Spatial Models.]https://cran.r-project.org/web/packages/siplab/vignettes/gentle.pdf
- 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
- García, O. (2022) "Plasticity as a link between spatially explicit, distance-independent, and whole-stand forest growth models". Forest Science 68(1): 1–7. Web
- Lee, M. J. and García, O. (2016). "Plasticity and Extrapolation in Modeling Mixed-Species Stands". Forest Science 62(1): 1-8. PDF