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| ENVT0852-1 | Data collection and processing
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| Duration : | 40h Th, 40h Pr |
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| Credits/ECTS : |
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| Holder(s) : | Jean‑Jacques Boreux, Jacques Nicolas, Eric Pirard |
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| Language : | Langue française |
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| Course contents : | The lecture includes 5 chapters, given by 3 different professors.
Chapter 1 : Methodology of environmental data collection (Jacques NICOLAS-2 credits)
Chapter 2 : Sampling (Jacques NICOLAS-1 credit)
Chapter 3 : Géostatistics (Eric PIRARD-1 credit)
Chapter 4 : Mathematical and statistical tools (Jacques NICOLAS-1 credit)
Chapter5 : Applied statistics (Jean-Jacques BOREUX-1 credit)
Outline of chapter 1 : Definition of problem and goals of data collection. Concepts of global indicators and of signature. Preparation of instrumentation scheme, break down into different steps: selecting measurement variables, selecting methodology, selecting instruments, signal transport and conditioning, discussion of results.
Outline of chapter 2 : This chapter is one of the methodological features (chapter 1), it presents more particularly the challenge and theoretical aspects of sampling and their application for an environmental study: basic options of measurement campaign, preliminary site investigation, selection of measurement points in space and time. General principles of sample uptake.
Outline of chapter 3 : Spatial analysis of data. Notion and utilisation of variograms, stationarity hypothesis, deterministic and topo-probabilistic digital terrain models.
Outline of chapter 4 : Review of mathematical, graphical and statistical tools applied to environmental data and practised on data files issued from real studies.
Outline of chapter 5 : This chapter relates to the risks concerning the decisions as regards management of the environment. It treats quantitative analysis of uncertainties by going up from effects (observations) towards causes (parameters). Hence, it exploits the so-called bayesian statistical approach whose rational principles bring a new and relevant point of view to treat environmental risk management. According to this design, the objective data (observations) are combined with the "subjective" data (formalized representation of the studied phenomenon, expertise and knowledge preconditions) for an update of knowledge. The course offers an introduction to the graphic modelling which supports the multi-field approach and, by-there, the emergence of realistic models. The inherent calculative difficulties in this type of approach are reduced by an initiation to the Monte Carlo Markov Chain. Many real examples illustrate the explanations. |
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| Course objective : | The lecture objective is to provide students with very clear ideas on the various notions of data collection and processing as well as on parametric statistical model. The lecture aims at sharpen their critical sense on the uses of those tools in real studies, in particular in the frame of environmental risk management. |
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| Prerequisites : | The mathematical level required is the one of secondary education (e.g. deriving and integrating a single real function). Additional skills on elementary probability and statistics should be recommended. The student should be able to use basic computer tools, such as Excel. |
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| Workshops : | Workshop including presentation of actual cases of instrumentation schemes, application of sampling principles on noise measurement in Arlon's city, solving problems of increasing difficulties using Excel, WinBugs, Statistica or Arc View in the computer room or at home. |
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| Organization : | The lecture is given in modules covering each a half-day of 4 hours (1 credit=3 half-days), in an independent way for each lecturer, but within a condensed time period. Practical works are included in the timetable and in planned credits. |
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| Written notes : | Lecture notes available for the 4 first chapters. Available on-line for chapters 1, 2 and 4. Moreover, on-line interactive course for chapter 4 and reference book for chpaters 1 and 2:
Nicolas, J. 1998 Surveillance de l'Environnement-Méthodologie-Bruylant-Academia
References for chapter 5 :
Bernier, J., Parent, E., Boreux, JJ. 2000. Statistique Pour L'environnement . Traitement Bayésien de L'incertitude. Tec et Doc, Lavoisier.
Boreux, JJ., Parent, E., Bernier, J. 2009 (sortie en librairie en octobre 2009). Pratique du calcul bayésien, Springer Verlag France. |
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| Assessment : | Each professor questions the student by his own manner, but the global score is calculated as the average of each chapter score.
The knowledge of chapters 1 and 2 is judged on the basis of an oral presentation of a concrete case study by students, as well as on a report of practical work.
The one of chapter 3 is based on a written question about the subject.
For chapter 4, students process a concrete case proposed by the professor during a whole day in the computer room.
For chapter 5, the evaluation is based on a written report concerning a given problem and a further oral examination to confirm the intellectual attainments of fundamental concepts. |
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| Contacts : | Jacques NICOLAS
Département des Sciences et Gestion de l'Environnement
Université de Liège-Campus d'Arlon
Avenue de Longwy, 185
B-6700 ARLON
Belgium
Tel: 32 (0) 63 23 08 57
Fax: 32 (0)63 23 08 00
Email: j.nicolas@ulg.ac.be
Jean-Jacques BOREUX
Département des Sciences et Gestion de l'Environnement
Université de Liège-Campus d'Arlon
Avenue de Longwy, 185
B-6700 ARLON
Belgium
Tel: 32 (0) 63 23 08 56
Fax: 32 (0)63 23 08 00
Email: jj.boreux@ulg.ac.be
Eric PIRARD
Département Argenco
Université de Liège
Bât. B52/3 Géoressources minérales & Imagerie géologique
chemin des Chevreuils 1
4000 Liège 1
Belgique
Tél. +32 (0)4 3669528
Fax: +32 (0)4 3669520
Email: Eric.Pirard@ulg.ac.be |
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