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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
Teaching Methodologies and Assessment Criteria The CU is taught during the first semester, involving 30 hours of contact with the teacher and 180 hours of autonomous student work (total: 210 hours). The approval to the UC grants the trainee 7.5 ECTS. The classes, from the theoretical-practical typology (TP), contemplate the brief theoretical exposition of the syllabus contents, the resolution accompanied by exercises and the discussion and analysis of conceptual questions, serving as the basis for the development of a final practical work of an individual nature and autonomous, that aims at the resolution of an exercise of spatial analysis, using the GIS tools and applying a large part of the theoretical knowledge given. The evaluation is carried out through supervised assignments (10%), an individual and autonomous practical assignment (40%) and a final exam (50%) for the students admitted. The evaluation criteria may be reviewed annually, according to the UBI RGAC.
Language Portuguese. Tutorial support is available in English.
Last updated on: 2021-11-11

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