Florian Hartig's Projects
An awesome list of high-quality open datasets in public domains (on-going).
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The BASic FORest model, BASFOR, is a process-based model for forest biogeochemistry which simulates the C-, N- and water-cycles.
General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments.
A book covering the fundamentals of data visualization
These codes are analyses for the manuscript "Defaunation of large-bodied animals reduces carbon storage in a tropical forest of Southeast Asia"
make a range-wide integral projection model based on USFS forest inventory data
Diagnostics for HierArchical Regession Models
R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.
R implementation of the cavity method for ecological community assembly.
A multiplayer online game of a tradable permit market written in java.
MSc Course on Evolutionary Game Theory
Public repository for the encfsgui project, an OSX GUI wrapper around encfs
Tools for fitting the Extended Empirical Saddlepoint density approximation.
code and instruction how to extract abundance data from http://www.european-mammals.org/ svg-maps, export them as tables and plot them in new, modifyable R-graphics
Model code for examining the evolutionary attainability and stability of coexistence by relative nonlinearity of competition
R-Codes for RSE manuscript "Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass"
Materials for workshop on GPU computation for statistics, data science, machine learning applications.
Analysis of forest inventory data from Khoa Yai National Park. For the data, contact Wirong Chanthorn at http://goo.gl/CBspj0
A complete environment for Bayesian inference within R
An introduction to Bayesian statistics
Mixed-effects models in R using S4 classes and methods with RcppEigen
Simulations to