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Last update: doc. RNDr. Zbyněk Pawlas, Ph.D. (15.09.2013)
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Last update: doc. RNDr. Zbyněk Pawlas, Ph.D. (15.09.2013)
Introduce students into the basic methods for modelling of spatial data. |
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Last update: doc. RNDr. Zbyněk Pawlas, Ph.D. (22.02.2023)
The course is finalized by a credit from exercise class and by a final exam.
The credit from exercise class is necessary for taking part in the final exam.
Requirements for receiving the credit from exercise class: regular active attendance.
Attempt to receive the credit from exercise class cannot be repeated. |
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Last update: doc. RNDr. Zbyněk Pawlas, Ph.D. (15.09.2013)
Cressie N.A.C.: Statistics for Spatial Data. Wiley, 1993.
Illian J., Penttinen A., Stoyan H., Stoyan D.: Statistical Analysis and Modelling of Spatial Point Patterns, Wiley, 2008.
Moller J., Waagepetersen R.P.: Statistical Inference and Simulation for Spatial Point Processes, Chapman&Hall/CRC, 2003.
Rataj J.: Bodové procesy, Karolinum, 2006.
Schabenberger O., Gotway C.: Statistical Models for Spatial Data Analysis. Chapman&Hall/CRC, 2005. |
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Last update: doc. RNDr. Zbyněk Pawlas, Ph.D. (14.02.2022)
Lecture+exercises. |
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Last update: doc. RNDr. Zbyněk Pawlas, Ph.D. (14.02.2022)
The final exam is oral. The topics for the exam are published on the lecturer's webpage. |
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Last update: T_KPMS (24.04.2015)
1. spatial models on lattices, Markov random fields, Ising model, Gaussian models
2. random fields, variogram, autocovariance function
3. random measures, existence, weak and vague convergence
4. point processes, Poisson process and other examples, moment measures, Palm distribution
5. stationary point processes, Cox process, cluster processes, hard-core point processes
6. finite point processes with density, Markov point processes
7. nonhomogeneous point process, marked point processes, marking models |
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Last update: doc. RNDr. Zbyněk Pawlas, Ph.D. (18.05.2018)
Fundamentals of measure theory, probability theory and stochastic processes. |