548-0903/02 – Spatial Data Analysis (PAD)
| Gurantor department | Department of Geoinformatics | Credits | 10 |
| Subject guarantor | prof. Ing. Jiří Horák, Dr. | Subject version guarantor | prof. Ing. Jiří Horák, Dr. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 2009/2010 | Year of cancellation | 2018/2019 |
| Intended for the faculties | HGF, FBI, FEI, FAST | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The aim of the subject is to educate students methods of spatial statistics and spatial analysis and obtain adequate skill how to implement these methods for various application domains.
Teaching methods
Individual consultations
Summary
Spatial statistics.Spatial statistics for points.Inferential statistical
tests for points.Quadrant tests.Nearest neighbour method. K function.
Modelling of spatial distribution of events.Kernel mapping.Analysis of
multivariate event distribution.Time-space analysis.Geostatistical methods.
Structural functions.Kriging.Stochastic simulation.Lines – statistical
description.Introduction to graph theory.Optimal path.Traffic accessibility.
Location and allocation.Gravity theory.Analysis of interaction data.
Polygons.Area interpolation.Areal data smoothing.Multivariate techniques.
Compulsory literature:
Bailey, T.C., Gatrell, A.C., "Interactive spatial data analysis" Essex, Longman
Scientific & Technical, 1995.
Birkin M. et al.: Intelligent GIS - location decisions and strategic planning.
Geoinformation International, Cambridge, UK. 1996.
Fotheringham S., Rogerson P. (editors): Spatial Analysis and GIS.
Taylor&Francis Ltd 1994, 281 stran.
Meer Freek D.: Introduction to Geostatistics. ITC Enschede 1992, 52 stran.
Walford Nigel: Geographical Data Analysis.
Yue-Hong Chou: Exploring Spatial Analysis in Geographic Information systems.
Onword Press 1996.
Recommended literature:
Birkin M. et al.: Intelligent GIS - location decisions and strategic planning. Geoinformation International, Cambridge, UK. 1996.
Fotheringham S., Rogerson P. (editors): Spatial Analysis and GIS. Taylor&Francis Ltd 1994, 281 stran.
Walford Nigel: Geographical Data Analysis.
Yue-Hong Chou: Exploring Spatial Analysis in Geographic Information systems. Onword Press 1996.
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
No additional requirements are imposed on the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1) Definition, history and objectives of spatial analysis, review of usual methods, review of spatial statistical methods.
2) Points. Spatial statistics for point pattern. Inferential statistical tests for point pattern. Quadrat tests. Nearest neighbor methods. Ripley’ K function.
3) Modelling of point spatial patterns – theoretical models.
4) Point pattern transformation into a continuos field (raster model, kernel functions).
5) Analysis of multivariable point events.
6) Space-temporal analysis.
7) Line. Statistical description. Introduction to graph theory. Optimal path searching. Transport accessibility. Location and allocation tasks.
8) Gravity theory. Analysis of interaction data.
9) Polygons. Areal interpolation. Districting, regionalization.
10) Smoothing of areal data. Multivariate techniques. Regression modelling (including spatial regression).
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.