Martin Raubal: Catalogue data in Spring Semester 2020

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 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.
3 credits6RM. Raubal
AbstractFundamentals in geo information technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics;
ObjectiveKnow the fundamentals in geo information technologies for the realization, application and operation of geographic information systems in engineering projects.
ContentModellierung von raumbezogenen Informationen
Geometrische und semantische Modelle
Topologie und Metrik
Raster und Vektormodelle
Datenbanken
Anwendungsbeispiele
LiteratureWorboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd Edition ed.). Boca Raton, FL: CRC Press.
O'Sullivan, D., & Unwin, D. (2010). Geographic Information Analysis (second ed.). Hoboken, New Jersey: Wiley.
Bill, R. (2016). Grundlagen der Geo-Informationssysteme (6. Auflage ed.): Wichmann.
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 credits11RM. Raubal
AbstractAdvanced geoinformation technologies: geodatabases advanced; system architectures; mobile GIS; user interfaces; fields and interpolation; data quality, uncertainty, metadata; temporal aspects in GIS.
ObjectiveKnowing advanced topics of geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects.
LiteratureWorboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd Edition ed.). Boca Raton, FL: CRC Press.
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.