Martin Raubal: Catalogue data in Autumn Semester 2017

Name Prof. Dr. Martin Raubal
FieldGeoinformation Engineering
Address
Inst. f. Kartografie u. Geoinform.
ETH Zürich, HIL G 37.3
Stefano-Franscini-Platz 5
8093 Zürich
SWITZERLAND
Telephone+41 44 633 30 26
E-mailmraubal@ethz.ch
URLhttp://www.raubal.ethz.ch/
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipFull Professor

NumberTitleECTSHoursLecturers
103-0233-AALGIS I
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
3 credits2RM. Raubal
AbstractFundamentals in geoinformation technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with GIS software.
ObjectiveKnow the fundamentals in geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects.
ContentModelling of spatial information
Geometric and semantic models
Topology & metrics
Raster and vector models
Databases
Applications
Labs with GIS software
LiteratureWorboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd ed.). Boca Raton, FL: CRC Press.
O'Sullivan, D., & Unwin, D. (2010). Geographic Information Analysis (second ed.). Hoboken, New Jersey: Wiley.
103-0233-01LGIS I3 credits2GM. Raubal
AbstractFundamentals of geoinformation technologies: spatial data modeling, metrics & topology, vector and raster data, thematic data, spatial queries and analysis, spatial databases; group project with GIS software
ObjectiveKnowing the fundamentals of geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects.
ContentEinführung GIS & GIScience
Konzeptionelles Modell & Datenschema
Vektorgeometrie & Topologie
Rastergeometrie und -algebra
Thematische Daten
Räumliche Abfragen & Analysen
Geodatenbanken
Lecture notesVorlesungspräsentationen werden digital zur Verfügung gestellt.
LiteratureBartelme, N. (2005). Geoinformatik - Modelle, Strukturen, Funktionen (4. Auflage). Berlin: Springer.
Bill, R. (2016). Grundlagen der Geo-Informationssysteme (6. Auflage): Wichmann.
Worboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd Edition). Boca Raton, FL: CRC Press.
103-0234-AALGIS II
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
5 credits4RM. Raubal
AbstractAdvanced course in geoinformation technologies: conceptual and logical modelling of networks, 3D- and 4D-data and spatial processes in GIS; raster data structures and operations; mobile GIS; Internet and GIS; interoperability and data transfer; legal and technical foundations of spatial data infrastructures (SDI)
ObjectiveStudents will be able to carry out the following phases of a GIS project: data modelling, mobile data acquisition and analysis, Web publication of data and integration of interoperable geospatial web services into a Spatial Data Infrastructure (SDI).

Students will deepen their knowledge of conceptual and logical modeling by means of the particular requirements of networks as well as 3D- and 4D-data.
LiteratureWorboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd Edition). Boca Raton, FL: CRC Press.
103-0237-00LGIS III5 credits3GM. Raubal
AbstractThe course deals with advanced topics in GIS: GIS project lifecycle, Managing GIS, Legal issues, GIS assets & constraints; Geospatial Web Services; Geostatistics; Geosimulation; Human-Computer Interaction; Cognitive Issues in GIS.
ObjectiveStudents will get a detailed overview of advanced GIS topics. They will go through all steps of setting up a Web-GIS application in the labs and perform other practical tasks relating to Geosimulation, Human-Computer Interaction, Geostatistics, and Web Processing Services.
Lecture notesLecture slides will be made available in digital form.
LiteratureFu, P. and Sun, J., Web GIS - Principles and Applications (2011), ESRI Press, Redlands, California.
O'Sullivan, D., & Unwin, D. (2010). Geographic Information Analysis (second ed.). Hoboken, New Jersey: Wiley.
103-0255-AALGeodata Analysis
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
2 credits4RM. Raubal
AbstractThe course deals with advanced methods in spatial data analysis.
Objective- Understanding the theoretical principles in spatial data analysis.
- Understanding and using methods for spatial data analysis.
- Detecting common sources of errors in spatial data analysis.
- Advanced practical knowledge in using appropriate GIS-tools.
ContentThe course deals with advanced methods in spatial data analysis in theory as well as in practical exercises.
LiteratureMITCHELL, A., 2012, The Esri Guide to GIS Analysis - Modeling Suitability, Movement, and Interaction (3. Auflage), ESRI Press, Redlands, California
103-0778-00LGIS and Geoinformatics Lab4 credits4PM. Raubal
AbstractIndependent study project with (mobile) geoinformation technologies.
ObjectiveLearn how to work with (mobile) geoinformation technologies (including application design and programming).
103-0817-00LGeomatics Seminar Restricted registration - show details 4 credits2SM. Rothacher, K. W. Axhausen, A. Geiger, A. Grêt-Regamey, L. Hurni, M. Raubal, B. Scholl, U. A. Weidmann, A. Wieser
AbstractIntroduction 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.
ObjectiveLearn 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
ContentA list of themes for the literature study are made availabel at the beginning of the semester. A theme can be selected based on a moodle.
Prerequisites / NoticeAgreement with one of the responsible Professors is necessary
166-0201-00LPotential of Spatial Information- and Communication Technologies Restricted registration - show details
Only for MAS in Future Transport Systems and CAS in Future Transport Systems: Technology Potential.
3 credits2GM. Raubal
AbstractThe digital revolution, spatial information and communication systems in particular, have a significant influence on the development of new transport systems. Participants acquire an in-depth understanding of the functionality and application potential of spatial information systems and services and of communication technologies for deployment in future transport systems and applications.
ObjectiveFamiliarity with information and communication technologies (ICT) and spatial information technologies, and the ability to identify and utilise their potential to address concrete problems.
Content- Functionality and application of geographic information systems (GIS) to represent and analyse transport systems (acquire, model, analyse and visualise geodata)
- Deployment potentials of GIS and ICT for efficient transport solutions (tangible, non-tangible)
- Functionality and application of mobile spatial information technologies in future transport systems
- Methods of spatiotemporal analysis and geodata analysis
- Technical aspects of information and communication technologies (ICT)
- Modelling, simulation and assessment of traffic behaviour
- Basics of autonomous driving
- Legal aspects of geodata
- Applications: Traffic behaviour in Switzerland; location based services for energy-efficient behaviour; GIS for the Zurich traffic system (multimodal)
Lecture notesDistributed at start of module
LiteratureDistributed at start of module
Prerequisites / NoticeAnnounced to students of the of the MAS / CAS at the beginning of the term.