Introduction to Geostatistics
The objective of this curricular unit is to teach the students the basic concepts of univariate geostatistics. Students will learn the main theoretical concepts related to the spatial interpolation of attributes using deterministic methods and geostatistics procedures, which are based on the spatial autocorrelation of the observed data. The students will also work on computer programs to practice the theoretical concepts.
Weekly - Available soon
Total - Available soon
Portuguese. If there are Erasmus students, classes will be taught in English
Goovaerts, P., 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press, Inc, New York, USA.; Isaaks, E. H.; Srivastava, R. M., 1989. An Introduction to Applied Geostatistics. Oxford University Press, Inc, New York, USA.; Deutsch, C. V.; Journel, A. G., 1998. Geostatistical Software Library and User¿s Guide. Oxford University Press, New York, USA.; Soares, A. 2000. Geoestatística para as Ciências da Terra e do Ambiente. Instituto Superior de Técnico, IST Press. Lisboa, Portugal.; Tutorials, e-books and other material provided by the teacher through the e-learning platform.
This curricular unit is lectured through the e-learning platform using synchronous tools (videoconference classes with the teacher) and asynchronous tools (forum, email, learning materials available in the e-learning platform). There will be a synchronous session at the end of each LU. This corresponds to a 2-hour online class with the teacher, which will be dedicated to the content of each LU and to the solving of a practical exercise.
The following evaluation elements are both mandatory to pass the course:
1. Exam (25% of final grade with a minimum grade of 8 points) done in the e-learning platform.
2. Students must write a report in English or Portuguese with the answers to the proposed exercises (75% of final grade). The report must be developed individually, and delivered until midnight of the day indicated in the course schedule. There is a penalty of 0.5 points for each day of delay (scale: 0-20 points).
The curricular unit is organized in 4 Learning Units (LU):
LU1. Introduction & Exploratory data analysis
LU2. Deterministic methods for spatial interpolation
LU4. Univariate geostatistics
Programs where the course is taught: