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Interpretation of geodata

Anotace

This course is focused on a practical work with data, its pre-processing, formatting and transformations. Practical introduction of basic statistical methods of data dimensions reduction and other multivariate methods such as factor, discriminant and cluster analysis and decision trees. Also basic principles of data mining are introduced. The aspect of results interpretation and maximal mining of information from data and geodata are key aspects of this course.

Povinná literatura

ZUUR, A. F., IENO, E. N., MEESTERS, E. (2009): A Beginner's Guide to R. Springer, 236 p.
DALGAARD, P. (2008): Introductory Statistics with R. Springer, 380 p.
LOVELACE, R., NOWOSAD, R.,MUENCHOW, J.(2019): Geocomputation with R. Boca Raton: CRC Press, Taylor & Francis Group. The R series. ISBN 978-1-138-30451-2 .
SPECTOR, P. (2008): Data manipulation with R. New York: Springer. Use R!. ISBN 978-0-387-74730-9.
STINEROCK, R. N. (2018): Statistics with R: a beginner's guide. Los Angeles: SAGE. ISBN 978-1-4739-2489-5 .

Advised literature

EVERITT, B., HOTHORN, T. (2011): An Introduction to Applied Multivariate Analysis with R. Springer, 288 p.
SCHUMACKER, R.,E., TOMEK, S. (2013): Understanding statistics using R. New York: Springer. ISBN 978-1-4614-6226-2.
WICKHAM, H., GROLEMUND, G. (2016): R for data science: import, tidy, transform, visualize, and model data. Sebastopol: O’Reilly Media. ISBN 978-1-4919-1039-9 .
LAROSE, C. D., LAROSE, D.T. (2019): Data science using Python and R. Hoboken: Wiley. Wiley series on methods and applications in data mining. ISBN 978-1-119-52681-0 .
TATTAR, P., RAMAIAH, S., MANJUNATH, B. G.(2016): A course in statistics with R. Chichester: Wiley. ISBN 9781119152750 .


Language of instruction čeština, angličtina, čeština, angličtina
Code 548-0092
Abbreviation IGD
Course title Interpretation of geodata
Coordinating department Department of Geoinformatics
Course coordinator doc. RNDr. Jan Caha, Ph.D.