Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Various Approaches for Predicting Land Cover in Mountain Areas   Using former maps, geographers intend to study the evolution of the land
cover in order to have a prospective approach on the future landscape;
predictions of the future land cover, by the use of older maps and
environmental variables, are usually done through the GIS (Geographic
Information System). We propose here to confront this classical geographical
approach with statistical approaches: a linear parametric model (polychotomous
regression modeling) and a nonparametric one (multilayer perceptron). These
methodologies have been tested on two real areas on which the land cover is
known at various dates; this allows us to emphasize the benefit of these two
statistical approaches compared to GIS and to discuss the way GIS could be
improved by the use of statistical models.

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The categories of this paper are: cond-mat
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The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: nucl-ex
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The categories of this paper are: math
22
The categories of this paper are: chao-dyn
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The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
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The categories of this paper are: hep-th
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The categories of this paper are: supr-con
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The categories of this paper are: hep-ex
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The categories of this paper are: quant-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio