Spatio-temporal Data Analysis

Type of study	Doctoral
Language of instruction	Czech
Code	548-0952/01
Abbreviation	CSAD
Course title	Spatio-temporal Data Analysis
Credits	10
Coordinating department	Department of Geoinformatics
Course coordinator	prof. Ing. Igor Ivan, Ph.D.

Subject syllabus

Introduction to time series.
Decomposition of time series.
Methods of time series analysis - regression modeling.
Methods of time series analysis - exponential modeling.
Methods of time series analysis - ARIMA.
Methods of time series analysis - SARIMA models.
Introduction to spatiotemporal data.
Exploratory analysis of spatiotemporal data.
Spatio-temporal analyzes.
Spatio-temporal clustering.
Visualization of spatiotemporal data.
New directions in spatio-temporal analyzes.

Literature

KULLDORFF, M. SaTScan User Guide. 2021. 119 p. http://www.satscan.org/
SHMUELI, G., LICHTENDAHL, K.C. Practical Time Series Forecasting with R: A Hands-On Guide, Axelrod Schnall Publishers, 2nd edition, 2016, .
SHI, Z., PUN-CHENG, L.S.C. Spatiotemporal Data Clustering: A Survey of Methods. ISPRS International Journal of Geo-Information, 2019, 8, 112; doi:10.3390/ijgi8030112.
ROGERSON, P., YAMADA, I. Statistical Detection and Surveillance of Geographic Clusters. Chapman and Hall/CRC, 2008, 324 p.

Advised 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.
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.
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.

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