Spatial Data Analysis

Code:

MEMG0012

Acronym:

ADVE

Keywords
Classification	Keyword
OFICIAL	Mathematics, Physics, Earth Sciences

Instance: 2011/2012 - 1S

Active?	Yes
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	10	Plano de estudos oficial a partir de 2008/09	2	-	4	42	108

Teaching language

Portuguese

Objectives

Introduction to the fundamental concepts and procedures of data analysis with spatial variability (Geostatistics). It aims to enable students to apply it in a mining, geoenvironmental or geotechnical environment.

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-referentiation: 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

Variowin; GeoEas; 3Plot98; Krigame
Excel spreadsheet
Surfer
Matlab 6

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	54,00
	Trabalho escrito	32,00
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
	Estudo autónomo	35
	Total:	35,00

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 9,5 points, in the various performed tasks, namely two mid-term tests and data analysis study 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

- 40% of the final grade: assignments and students’ performance
- 25% of the final grade: first test.
- 35% of the final grade: second 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.