Bayesian Inference for Neyman-Scott Point Processes


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Documentation for package ‘binspp’ version 0.1.24

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binspp Bayesian inference for Neyman-Scott point processes
cov_refor Distance to the reforestration polygon
cov_reserv Distance to the reservoir
cov_slope Slope of the area
cov_tdensity Trees density
cov_tmi Topographic moisture index
estgtp Bayesian MCMC estimation of parameters of generalized Thomas process
estgtpr Results for Bayesian MCMC estimation of parameters of generalized Thomas process
estintp Estimation of Thomas-type cluster point process with complex inhomogeneities
first_step Estimate the first-order inhomogeneity
plot_outputs Graphical output describing the posterior distributions
print_outputs Text output describing the posterior distributions
re_estimate Re-estimate the posterior distributions with different burn-in
rgtp Simulation of generalized Thomas process
rThomasInhom Simulate a realization of Thomas-type cluster point process with complex inhomogeneities
trees_N4 Spanish oak trees
x_left_N4 Left horizontal corners for trees_N4 dataset
x_right_N4 Right horizontal corners for trees_N4 dataset
y_bottom_N4 Bottom vertical corners for trees_N4 dataset
y_top_N4 Vertical corners for trees_N4 dataset