Jochen Ruben Breschan: Catalogue data in Spring Semester 2018

Name Dr. Jochen Ruben Breschan
DepartmentEnvironmental Systems Science
RelationshipLecturer

NumberTitleECTSHoursLecturers
701-1674-00LSpatial Analysis, Modelling and Optimisation Restricted registration - show details
Number of participants limited to 25.

The waitinig list will be deleted on March 4th, 2018.

Prerequisites: 701-0951-00L "GIS - Introduction into Geoinformation Science" in autum semester or comparable preparatory training.
5 credits4GM. A. M. Niederhuber, J. R. Breschan
AbstractProblems encountered in forest- and landscape management often have a spatial dimension. Methods and technics of geoinformation sciences GIS and/or optimization give support to identify good solutions. Students learn to conceptualize, implement and combine I) spatial analysis & modeling of geodata and, II) optimization techniques, based on theoretical inputs and practical work on small projects.
Objective- Conceptualize spatial problems and design a work flow from "data processing" through "advanced spatial analysis" to "presentation of results";
- Implement a specific workflow in standard GIS software, verify and validate procedures and results;
- Conceptualize an optimization problem and specify a workflow and the tools to solve the problem;
- Implement a specific optimization problem in standard software, verify the procedures and check the validity of results;
- Process problem-specific spatial data, export them to standard exchange file formats, and import them into optimization- or analysis tools;
- Conceptualize, implement and solve spatially-explicit optimization models by integrating spatial analysis with optimization techniques.
LiteratureChurch RL, Murray AT (2009). Business Site Selection, Location Analysis, and GIS,
Wiley, Hoboken [spatially-explicit optimization]
Williams HP (1999). Model Building in Mathematical Programming. 4th edition, Wiley, Chichester [introduction to optimization techniques]
Prerequisites / NoticeKnowledge and skills equal those of the course "GIST - Einführung in die räumliche Informationswissenschaften und Technologien"