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Terminated in academic year 2021/2022

Spatiotemporal Analyses

Type of study Follow-up Master
Language of instruction Czech
Code 548-0117/03
Abbreviation CPA
Course title Spatiotemporal Analyses
Credits 5
Coordinating department Department of Geoinformatics
Course coordinator prof. Ing. Igor Ivan, Ph.D.

Subject syllabus

1) Introduction to time series analysis.
2) Introduction to time series analysis.
3) Methods of time series analysis.
4) Methods of time series analysis.
5) Introduction to spatiotemporal analysis.
6) Exploratory analysis of spatiotemporal data.
7) Spatiotemporal analyses.
8) GeoSurvaillance – retrospective and prospective tests.
9) Spatiotemporal modelling.
10) Spatiotemporal modelling.
11) Multivariate spatiotemporal models.
12) Multivariate spatiotemporal models.

Literature

CRESSIE, N., WINKLE, C.K. Statistics for Spatio-Temporal Data. Wiley, 2011, 624 p.
SHERMAN, M. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley, 2010, 294 p.
COWPERTWAIT, Paul S. P. a Andrew V. METCALFE. Introductory time series with R. Dordrecht: Springer, c2009. Use R!. ISBN 978-0-387-88697-8.
SHMUELI, G., LICHTENDAHL, K.C. Practical Time Series Forecasting with R: A Hands-On Guide, Axelrod Schnall Publishers, 2nd edition, 2016, ISBN 978-0997847918 .

Advised literature

ROGERSON, P., YAMADA, I. Statistical Detection and Surveillance of Geographic. Chapman and Hall/CRC, 2008, 324 p.
ANSARI, M.Y., AHMAD, A., KHAN, S.S., BHUSHAN, G., MAINUDDIN. Spatiotemporal clustering: a review. Artificial Intelligence Review, 2020, 53:2381–2423, https://doi.org/10.1007/s10462-019-09736-1.
LEVINE, N. CrimeStat: A Spatial Statistics Program for the Analysis of Crime Incident Locations (v 4.02). Ned Levine & Associates, Houston, Texas, and the National Institute of Justice, Washington, D.C. August. 2015.
BOX-STEFFENSMEIER, J. M., FREEMAN, J.R., HITT, M.P., PEVEHOUSE, J.C. (2014): Time series analysis for the social sciences. New York: Cambridge University Press. Analytical methods for social research. ISBN 978-0-521-87116-7.