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Spatiotemporal Analyses

Summary

The aim of this course is to present the processing of spatiotemporal data. The introductory part of the course presents the problems of time series and selected methods of their visualization, analysis and modeling (decomposition, regression models, exponential models, ARIMA and SARIMA). Furthermore, key aspects of spatiotemporal data and methods of their exploratory analysis are presented. Methods of analysis of spatiotemporal data and spatiotemporal clustering are presented, which form a key part of this course. Lectures are also devoted to the issue of visualization of spatiotemporal data.

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.


Language of instruction čeština, angličtina, čeština, angličtina, čeština
Code 548-0117
Abbreviation CPA
Course title Spatiotemporal Analyses
Coordinating department Department of Geoinformatics
Course coordinator prof. Ing. Igor Ivan, Ph.D.