Interpretation of geodata

Type of study	Bachelor
Language of instruction	Czech
Code	548-0092/03
Abbreviation	IGD
Course title	Interpretation of geodata
Credits	3
Coordinating department	Department of Geoinformatics
Course coordinator	doc. RNDr. Jan Caha, 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) Basics in IBM SPSS Statistics
5) R and geodata
6) Principal component analysis and interpretation of results
7) Interpretation of principal component analysis results
8) Factor analysis, interpretation of results
9) Cluster analysis
10) Interpretation of cluster analysis results
11) Decision trees
12) Interpretation of decision tree results
13) 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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