Ecology - Data processing.

Ecosystem modeling in theory and practice : = an introduction with case histories / by: (Language materials, printed)

Ecological data : = design, management and processing / by: (Language materials, printed)

Ecosystem modeling in theory and practice = an introduction with case histories / by: (Electronic resources)

Computational ecology = artificial neural networks and their applications / by: (Electronic resources)

Functional and phylogenetic ecology in R by: (Electronic resources)

Numerical ecology with R by: (Electronic resources)

Introduction to R for terrestrial ecology = basics of numerical analysis, mapping, statistical tests and advanced application of R / by: (Electronic resources)

Numerical ecology with R / by: (Language materials, printed)

Evolutionary Biology.

Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Ecology- Statistical methods.

Computational biology.

Phylogeny- Data processing.

Theoretical Ecology/Statistics.

Math. Appl. in Environmental Science.

Terrestial Ecology.

R (Computer program language)

Neural networks (Computer science)

Programming Languages, Compilers, Interpreters.

Statistics for Life Sciences, Medicine, Health Sciences.

Ecology- Mathematical models.

Ecology- Mathematics

Biological models- Data processing.

Multivariate analysis.

Ecology- Data processing.

Statistics.

Statistics and Computing/Statistics Programs.

Ecology.

Ecology- Statistical methods