Adrienne Grêt-Regamey: Catalogue data in Autumn Semester 2022

Name	Prof. Dr. Adrienne Grêt-Regamey
Name variants	Adrienne Gret Adrienne Grêt Adrienne Gret Regamey Adrienne Gret-Regamey
Field	Landscape and Environmental Planning
Address	Inst. f. Raum- u. Landschaftsentw. ETH Zürich, HIL H 51.3 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND
Telephone	+41 44 633 29 57
E-mail	gret@ethz.ch
URL	http://www.plus.ethz.ch
Department	Civil, Environmental and Geomatic Engineering
Relationship	Full Professor

Number

Title

ECTS

Hours

Lecturers

103-0313-00L

Spatial Planning and Landscape Development

5 credits

A. Grêt-Regamey, Y. M. Räth, J. Van Wezemael

Abstract

The lecture introduces into the main-features of spatial planning. Attended will be the subjects planning as a national responsibility, instruments of spatial planning, techniques for problem solving in spatial planning and the Swiss concept for national planning. The lecture is complemented with in-depth topics and international examples.

Learning objective

Die Studierenden kennen die Grundzüge der Raumplanung, ihre wichtigen Instrumente und Problemlösungsverfahren. Sie können das vermittelte theoretische Wissen direkt an konkreten, praxisorientierten Übungsaufgaben umsetzen.

- Grundzüge der Raumplanung und ihre wichtigsten Instrumente kennenlernen
- Erarbeiten der Fähigkeit, räumliche Probleme zu erkennen und Problemlösungsverfahren auf diese anzuwenden
- Planung und Landmanagement als interaktiven Prozess kennenlernen und anwenden
- Verstehen der mit Fläche und Boden verbundenen Potentiale, Nutzungen und Prozesse
- Das vermittelte theoretische Wissen direkt an konkreten, praxisorientierten Fallbeispielen umsetzen können

Content

Die Vorlesung deckt die Grundlagen der (Schweizerischen) Raumplanung und Landschaftsentwicklung ab:

- Was ist Raumplanung (Begriffe)
- Prinzipien der Raumplanung
- Die Raumplanung als staatliche Aufgabe - Raumordnungspolitik
- Instrumente der Raumplanung auf den Planungsebenen (u.a. Sachpläne und Konzepte, Richtplanung, Nutzungsplanung, Sondernutzungsplanung, Landumlegungsverfahren)
- Problemlösungsverfahren in der Raumplanung - systemtechnisches Vorgehen
- Das schweizerische Raumordnungskonzept

Der Schwerpunkt der Vorlesung liegt auf der Erläuterung der Raumplanung als Problemlösungsverfahren. Das dabei vermittelte theoretische Wissen wird direkt an einer konkreten, praxisorientierten Übungsaufgabe umgesetzt. Im Rahmen der Übung wird das Projektgebiet während einer Exkursion besucht.

Lecture notes

Prof. Dr. W.A. Schmid et al. (2006, Stand 2017): Raumplanung GZ - Eine Einführung für Ingenieurstudierende. IRL-PLUS, ETHZ

- Handouts of the lectures
- Exercises

Download: http://www.plus.ethz.ch/de/studium/vorlesungen/bsc/spatial_planning_and_landscape_development.html

103-0347-00L

Landscape Planning and Environmental Systems

3 credits

A. Grêt-Regamey

Abstract

In the course, students learn about methods for the identification and measurement of landscape characteristics, as well as measures and policies for landscape planning. Landscape planning is put into the context of environmental systems (soil, water, air, climate, flora and fauna) and discussed with regard to socio-political questions of the future.

Learning objective

The aims of this course are:
1) To illustrate the concept of landscape planning, the economic relevance of landscape and nature in the context of the environmental systems (soil, water, air, climate, flora and fauna).
2) To show landscape planning as an integral information system for the coordination of different instruments by illustrating the aims, methods, instruments and their functions in landscape planning.
3) To show the importance of ecosystem services.
4) To learn basics about nature and landscape: Analysis and assessment of the complex interactions between landscape elements, effects of current and future land use (ecosystem goods and services, landscape functions).
5) To identify and measure the characteristics of landscape.
6) Learn how to use spatial data in landscape planning.

Content

In this course, the following topics are discussed:
- Definition of the concept of landscape
- Relevance of landscape planning
- Landscape metrics
- Landscape change
- Methods, instruments and aims of landscape planning (policy)
- Socio-political questions of the future
- Environmental systems, ecological connectivity
- Ecosystem services
- Urban landscape services
- Practice of landscape planning
- Use of GIS in landscape planning

Lecture notes

No script. The documentation, consisting of presentation slides are partly handed out and are provided for download on Moodle.

Prerequisites / Notice

The contents of the course will be illustrated in the associated course 103-0347-01 U (Landscape Planning and Environmental Systems (GIS Exercises)) or in Project LAND within the Experimental and Computer Lab (for Environmental Engineers). A combination of courses is recommended.

Competencies

Subject-specific Competencies	Concepts and Theories	assessed
	Techniques and Technologies	assessed
Method-specific Competencies	Analytical Competencies	assessed
	Decision-making	assessed
	Media and Digital Technologies	assessed
	Problem-solving	assessed
	Project Management	assessed
Social Competencies	Communication	assessed
	Cooperation and Teamwork	fostered
	Customer Orientation	fostered
	Leadership and Responsibility	fostered
	Self-presentation and Social Influence	fostered
	Sensitivity to Diversity	fostered
	Negotiation	fostered
Personal Competencies	Adaptability and Flexibility	fostered
	Creative Thinking	assessed
	Critical Thinking	assessed
	Integrity and Work Ethics	fostered
	Self-awareness and Self-reflection	fostered
	Self-direction and Self-management	fostered

103-0347-01L

Landscape Planning and Environmental Systems (GIS Exercises)

3 credits

A. Grêt-Regamey, C. Brouillet, M. Galleguillos Torres, N. Klein

Abstract

The course content of the lecture Landscape Planning and Environmental Systems (103-0347-00 V) will be illustrated in practical GIS exercises (e.g. habitat modelling, land use change, ecosystem services, connectivity).

Learning objective

- Practical application of theory from the lectures
- Quantitative assessment and evaluation of landscape characteristics
- Learning useful applications of GIS for landscape planning
- Developing landscape planning measures for practical case studies

Content

- Applications of GIS in landscape planning
- Landscape analysis
- Landscape structural metrics
- Modelling habitats and land use change
- Calculating urban ecosystem services
- Ecological connectivity

Lecture notes

A script and presentation slides for each exercise will be provided on Moodle.

Literature

Will be named in the lecture.

Prerequisites / Notice

Basic GIS skills are strongly recommended.

Competencies

Subject-specific Competencies	Concepts and Theories	fostered
	Techniques and Technologies	assessed
Method-specific Competencies	Analytical Competencies	assessed
	Decision-making	fostered
	Media and Digital Technologies	assessed
	Problem-solving	assessed
	Project Management	assessed
Social Competencies	Communication	assessed
	Cooperation and Teamwork	assessed
	Customer Orientation	fostered
	Leadership and Responsibility	fostered
	Self-presentation and Social Influence	fostered
	Sensitivity to Diversity	fostered
	Negotiation	fostered
Personal Competencies	Adaptability and Flexibility	assessed
	Creative Thinking	assessed
	Critical Thinking	assessed
	Integrity and Work Ethics	fostered
	Self-awareness and Self-reflection	fostered
	Self-direction and Self-management	fostered

103-0378-00L

Introduction to the Programming Language R

3 credits

M. J. Van Strien, A. Grêt-Regamey

Abstract

R is one of the most popular programming language in science and practice for data analysis, modelling and visualisation. In this course, you will learn the basics of R and some common applications of R, such as making plots, regression analysis and working with spatial data. The weekly computer labs start with a short lecture followed by exercises that have to be handed in to pass the course.

Learning objective

The overall objective of this course is to provide an introduction to the programming language R and to build confidence to apply R in other courses. More specifically, the objectives are:
- Understand how to import and export data, and how to work with the most important types of R-objects (e.g. vectors, data frames, matrices and lists).
- Learn how to create meaningful and visually attractive graphics and apply this knowledge to several datasets.
- Learn how to apply several types of important functions (e.g. for- and while-loops, if-else statements, data manipulation).
- Understand descriptive statistics and regression analysis and apply this knowledge to analyse several datasets.
- Understand the possibilities of analysing and plotting spatial data.
- Learn how to write own functions.

Content

The course has a strong focus on “learning by doing”. During the weekly computer lab sessions, students will be given an introduction to the programming language R. Each lab session will start with a short introductory lecture, after which students work through the script and complete the exercises. During the lab sessions, the lecturers will be available to answer individual questions. The main topics that will be covered in the lab sessions are:
- importing and exporting data
- types of R-objects
- data scraping
- plotting data
- descriptive statistics
- data manipulation
- conditionals and loops
- regression analysis
- plotting and analysing spatial data
- writing own functions

In the 7th and 14th week of the course, students have the time to finish the exercises that should be handed in at the end of those weeks.

Lecture notes

A script with theory, examples and exercises will be handed out at the beginning of the course. Data for the exercises will be made available via Moodle.

Literature

Optional supplementary reading is the book: Venables, Smith & R Core Team (2021) An Introduction to R. This book can be downloaded for free from: https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf.

Prerequisites / Notice

No prior knowledge of R or any other programming language is required for this course.

Competencies

Subject-specific Competencies	Concepts and Theories	fostered
	Techniques and Technologies	assessed
Method-specific Competencies	Analytical Competencies	assessed
	Decision-making	fostered
	Media and Digital Technologies	fostered
	Problem-solving	assessed
	Project Management	fostered
Social Competencies	Communication	fostered
	Cooperation and Teamwork	fostered
	Customer Orientation	fostered
	Leadership and Responsibility	fostered
	Self-presentation and Social Influence	fostered
	Sensitivity to Diversity	fostered
	Negotiation	fostered
Personal Competencies	Adaptability and Flexibility	fostered
	Creative Thinking	assessed
	Critical Thinking	assessed
	Integrity and Work Ethics	assessed
	Self-awareness and Self-reflection	fostered
	Self-direction and Self-management	fostered

103-0817-00L

Geomatics Seminar

Does not take place this semester.

4 credits

K. Schindler, K. W. Axhausen, A. Grêt-Regamey, L. Hurni, M. Raubal, B. Soja, A. Wieser

Abstract

Introduction to general scientific working methods and skills in the core fields of geomatics. It includes a literature study, a review of one of the articles, a presentation and a report about the literature study.

Learning objective

Learn how to search for literature, how to write a scientific report, how to present scientific results, and how to critically read and review a scientific article.

Content

A list of topics for the literature study are made available at the beginning of the semester. A topic can be selected based on a moodle.

Prerequisites / Notice

Agreement with one of the responsible Professors is necessary.