Terminated in academic year 2021/2022

Interpretation of geodata

Type of study	Bachelor
Language of instruction	English
Code	548-0092/02
Abbreviation	IGD
Course title	Interpretation of geodata
Credits	3
Coordinating department	Department of Geoinformatics
Course coordinator	prof. Ing. Igor Ivan, Ph.D.

Subject syllabus

1) Methods of pre-processing of data and geodata for further processing
2) Errors in data and geodata and dealing with errors
3) Basics in R
4) R and geodata
5) Principal component analysis and interpretation of results
6) Factor analysis and interpretation of results
7) Discriminant analysis and interpretation of results
8) Cluster analysis and interpretation of results
9) Decision trees and interpretation of results
10)Basics of data mining

Literature

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. .
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. .

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. .
LAROSE, C. D., LAROSE, D.T. (2019): Data science using Python and R. Hoboken: Wiley. Wiley series on methods and applications in data mining. .
TATTAR, P., RAMAIAH, S., MANJUNATH, B. G.(2016): A course in statistics with R. Chichester: Wiley. .

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