Geostatistics

Code	13298
Year	1
Semester	S1
ECTS Credits	7,5
Workload	TP(30H)
Scientific area	Sistemas de Informação Geográfica
Entry requirements	Approval to SIG I.
Mode of delivery	Classroom (practical and laboratory classes)
Work placements	Not aplicable.
Learning outcomes	The curricular unit of Geostatistics aims to: a) provide theoretical and practical knowledge in factorial analysis of data issues. b) Understanding of the principal components analysis c) Understanding the theory of regionalized variables d) Understanding of the factor analysis of the linear model of coregionalization e) Understanding the correspondence analysis f) Understanding of factorial kriging
Syllabus	1. Exploratory data analysis 1.1. Introduction 1.2. Univariate description 1.3. Spatial Data Exploration Analysis Tools 2. Multivariate statistical analysis 2.1. Principal Component Analysis 2.2 Cluster Analysis 3. Deterministic procedures 3.1. General concepts about spatial interpolation 3.2. Polygons of Thiessen 3.3. IDW 3.4. Cross validation and validation 4. Geostatistical estimation 4.1. Variography 4.2. Kriging
Main Bibliography	- Cressie, N. (1991): Statistics for spatial data analysis, iley-Interscience, 900pp - Goovaerts, P. (1997): Geostatistics for natural resources evaluation, Oxford University Press, New York, 561pp - Pereira, H. G. e Sousa, A. J. (1988): Análise de dados para o tratamento de quadros multidimensionais, CVRMUTL, IST, 115pp - Isaaks, E.; Srivastava, R. (1989) An Introduction to Applied Geostatistics, Oxford University Press, ISBN 0-19-505013-4
Language	Portuguese. Tutorial support is available in English.