Martin Raubal: Catalogue data in Autumn Semester 2023 |
| Name | Prof. Dr. Martin Raubal |
| Field | Geoinformation 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 |
| mraubal@ethz.ch | |
| URL | http://www.raubal.ethz.ch/ |
| Department | Civil, Environmental and Geomatic Engineering |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 103-0233-10L | Fundamentals of GIS | 6 credits | 5G | M. Raubal | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Fundamentals of geographic information systems: spatial data modeling; metrics & topology; vector, raster and network data; thematic data; spatial statistics; system architectures; data quality; spatial queries and analysis; geovisualisation; spatial databases; labs with GIS software | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Knowing theoretical aspects of geographic information regarding data acquisition, representation, analysis and visualisation. Knowing the fundamentals of geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | - Einführung GIS & GIScience - Konzeptionelles Modell & Datenschema - Vektorgeometrie & Topologie - Rastergeometrie und -algebra - Netzwerke - Thematische Daten - Räumliche Statistik - Systemarchitekturen & Interoperabilität - Datenqualität, Unsicherheiten & Metadaten - Räumliche Abfragen und Analysen - Präsentation raumbezogener Daten - Geodatenbanken | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Vorlesungspräsentationen werden digital zur Verfügung gestellt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Bill, R. (2016). Grundlagen der Geo-Informationssysteme (6. Auflage): Wichmann. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competencies |
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| 103-0248-00L | Geospatial Research Methods | 4 credits | 4G | M. Raubal | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The goal of this seminar-style course is to convey methods how to do research and communicate research results in the geospatial domain. The course further provides an overview of the types of research in the geospatial domain and the research life cycle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Students will exercise important aspects when doing research, such as doing a literature search, writing and referencing, and presenting. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0717-00L | Geoinformation Technologies and Analysis | 6 credits | 5G | M. Raubal | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Geoinformationstechnologien und -analysen für Fortgeschrittene: Mobile GIS; Web-GIS & Geo-Web-Services; Spatial Big Data; Zeitliche Aspekte in GIS; Analyse von Bewegungsdaten; Benutzerschnittstellen Übungen: Web-GIS-Semesterprojekt in Gruppenarbeit - die Übungen finden auf Englisch statt! | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Fortgeschrittene Geoinformationstechnologien (Mobile GIS und Web-GIS) und raum-zeitliche Analysemethoden kennen, um Projekte im Zusammenhang mit Realisierung, Nutzung und Betrieb von Web-GIS ingenieurmässig planen und implementieren zu können. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | - Mobile GIS - Web-GIS & Geo-Web-Services - Spatial Big Data - Zeitliche Aspekte in GIS - Analyse von Bewegungsdaten - Benutzerschnittstellen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Vorlesungspräsentationen werden digital zur Verfügung gestellt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Bill, R. (2016). Grundlagen der Geo-Informationssysteme (6. Auflage): Wichmann. O'Sullivan, D., & Unwin, D. (2010). Geographic Information Analysis (2nd Edition). Wiley. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | GIS GZ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
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| 103-2233-AAL | GIS Basics 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. | 6 credits | 13R | M. Raubal | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Fundamentals in geoinformation technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with GIS software. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Know the fundamentals in geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Modelling of spatial information Geometric and semantic models Topology & metrics Raster and vector models Databases Applications Labs with GIS software | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Worboys, 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 148-0001-00L | GIS-basics and -principles  | 3 credits | 4G | L. Hurni, M. Raubal | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | A Geographic Information System (GIS) is a system for collecting, managing, analyzing and visualizing spatial data (geodata). This module teaches the fundamental concepts and principles necessary for a comprehensive understanding and effective application of GIS technologies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | After completion of this module, students will be able to understand the fundamentals of Geographic Information Systems (GIS) and be able to retrieve and apply them appropriately in practice. They will be able to describe and apply the essential components and principles of GIS. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 148-0002-00L | GIS-methods and processes | 4 credits | 7G | L. Hurni, M. Raubal | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | GIS methods and processes represent the basic strategies and processing steps used within a GIS workflow to model, capture, manage, analyze, and visualize geodata. The GIS workflow is a systematic approach that ensures that geospatial data is used effectively to solve problems in various application domains. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The aim of this module is to provide students with a comprehensive understanding and diverse skills in the use of GIS methods and processes. The entire sequence of geodata processing from acquisition to application is to be covered. The goal is to provide students with a structured and systematic approach to effectively process and use geospatial data in a meaningful way. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
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| 166-0201-00L | Potential of Spatial Information- and Communication Technologies Does not take place this semester. | 3 credits | 3G | M. Raubal | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Familiarity 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 notes | Distributed at start of module | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Distributed at start of module | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Announced to students of the of the MAS / CAS at the beginning of the term. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||