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Terminated in academic year 2007/2008

Spatial Data Analysis

Type of study -
Language of instruction Czech
Code 548-0044/03
Abbreviation PAD
Course title Spatial Data Analysis
Coordinating department Department of Geoinformatics
Course coordinator Fiktivní Uživatel

Course aims

The objective is to learn student how to utilize selected methods of spatial analysis not included in other courses. It is focused on circular statistics, modelling of spatial distribution of events and relevant inferential methods to analyse their randomness, including multiple events. Large attention is dedicated to graph theory and its application for spatial tasks, statistical description of networks (local and global measures), selected tasks in graphs. Students get acqauinted with locational and alocational tasks, utilization of gravity theory, selected analysis for areal data, multivariate techniques for spatial data and a logistic regression.

Literature

Hilbe, J.M. Practical guide to logistic regression. CRC Press/Taylor & Francis, Boca Raton, 2016. S. 158. ISBN 978-1-4987-0957-6 
Newman, M. Networks: an introduction. Oxford University Press. 2010
Rogerson, P. Statistical methods for geography, 5th ed. SAGE, LA, 2019. S. 405. ISBN 978-1-5264-9880-
Smith M.J., Goodchild M.F., Longley P.A. Geospatial Analysis. 2011. Dostupné na http://www.spatialanalysisonline.com

Advised literature

Anselin L., Florax R., Rey S. (Eds.): Advances in Spatial Econometrics. Springer, 2004, pp. 51, 3ISBN 3540437290.
Barabási, A.: Network Science. The Barabási-Albert Model. 2012. Dostupné na http://barabasi.com/f/622.pdf
Batschelet, E.: Circular Statistics in Biology. Academic Press, 1981, London.
Hosmer, D.W., Lemeshow, S., Sturdivant, R.X.. Applied logistic regression, Third edition. ed, Wiley series in probability and statistics. Wiley, 2013. S. 528. ISBN 978-1-118-54835-6