Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gibbsian T-tessellation model for agricultural landscape
  characterization   A new class of planar tessellations, named T-tessellations, was introduced in
([10]). A model was proposed to be considered as a completely random
T-tessellation model (CRTT) and its Gibbsian variants were discussed. A general
simulation algorithm of Metropolis-Hastings-Green type was derived for model
simulation, involving three local transformations of T-tessellations. The
current paper focuses on statistical inference for Gibbs models of
T-tessellations. Statistical methods originated from point pattern analysis are
implemented on the example of three agricultural landscapes approximated by
T-tessellations. The choice of model statistics is guided by their capacity to
highlight the differences between the landscape patterns. Model parameters are
estimated by Monte Carlo Maximum Likelihood method, yielding a baseline for
landscapes comparison. In the last part of the paper a global envelope test
based on the empty-space function is proposed for assessing the goodness-of-fit
of the model.

33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math