Spatial Data Analysis

Code:

MEMG0012

Acronym:

ADVE

Keywords
Classification	Keyword
CNAEF	Mathematics and statistics

Instance: 2019/2020 - 1S

Active?	Yes
Web Page:	http://moodle.fe.pt
Responsible unit:	Mining Engineering Department
Course/CS Responsible:	Master in Mining and Geo-Environmental Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MEMG	8	Plano de estudos oficial a partir de 2008/09	2	-	6	56	162

Teaching language

Suitable for English-speaking students

Objectives

Introduction to the fundamental concepts and procedures of data analysis with spatial variability (Geostatistics) aiming at enabling students to apply them in a mining, geoenvironmental or geotechnical environment.

Learning outcomes and competences

To familiarize the students with the basic concepts and procedures of Geostatistics allowing them to be used theoretically and practically in a rigorous way.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Matthematical Analysis I and II; Classical Statistics

Program

Presentation of the course unit. Historical introduction. Review of uni and bivariate descriptive statistics concepts: frequency table and histograms, moments, theoretical models, comparison between distributions, graphic representations of two variable distributions, correlation, linear regression, conditional expectation. Some statistical application to mining problems, namely reserves calculation: introduction to T-Sichel estimator, concept of disperse. Geo-reference: spatial description – various types of graphic representation. Structural analysis: definition of regionalized variable and fundamentals of geostatistics; the variogram – experimental, theoretical and fitting models – isotropy and anisotropy situations; adjustment of theoretical models. Global and point estimate and corresponding estimation error variance. Kriging method – normal, simple, dummy variable, derivate, co-kriging and co-colocalized co-kriging Cross-validation. Introduction to geostatistical simulation.

Mandatory literature

Soares, Amílcar; Geoestatística. ISBN: 972-8469-10-1
David, Michel; Handbook of applied advanced geostatistical ore reserve estimation. ISBN: 0-444-42918-2
Isaaks, Edward H.; Applied Geostatistics. ISBN: 0-19-505013-4

Complementary Bibliography

Armstrong, Margaret; Géostatistique linéaire. ISBN: 2-911762-07-X
Textos e outro material de apoio a fornecer pelo docente

Teaching methods and learning activities

The course is formally set in theoretical-applied lectures. Some will be mainly used for a theoretical introduction of the different matters with sporadic examples of application. In others there will be successive development of application examples using geospatial data sets, with the help of charts, Excel spreadsheet, MatLab and Surfer environment and specific software. One or more geospatial data sets will be used as “raw -material” for the developments resulting from the application of the concepts previously introduced. The referred data will have associated an integrated set of objectives to be gradually attained. The conceptual framework will be growing and structured, as much as possible, in intone with practical needs, felt in data treatment process leading to attaining the referred objectives.

Software

Excel spreadsheet
Matlab
GSLIB90/Wingslib
GeoEas

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	5,00
Teste	60,00
Trabalho escrito	35,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	90,00
Frequência das aulas	52,00
Trabalho escrito	20,00
Total:	162,00

Eligibility for exams

Conditions for attaining “frequency”: valid registration on the course, regular attendance and weighted mean of grades obtained during the semester equal or exceeding 7,0 points, in the various performed tasks, namely two mid-term tests and data analysis practical work. The referred conditions are also valid for students under the conditions referring to items a), b) and c), number 3, article 4 of "Normas Gerais de Avaliação", except those related to attendance.

Calculation formula of final grade

"Avaliação Distribuída": 40% of the final grade: assignments and student's performance; 25% of the final grade: first mid-term test; 35% of the final grade: second mid-term test.

Examinations or Special Assignments

Not applicable

Special assessment (TE, DA, ...)

According to General Evaluation Rules of FEUP

Classification improvement

Recurso (resit exam); Oral exam

Observations

it is foresen the public presentation of the performed application works.