701-1674-00L  Spatial Analysis, Modelling and Optimisation

SemesterSpring Semester 2018
LecturersM. A. M. Niederhuber, J. R. Breschan
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber 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.



Courses

NumberTitleHoursLecturers
701-1674-00 GSpatial Analysis, Modelling and Optimisation4 hrs
Wed10:15-12:00NO C 6 »
13:15-15:00NO D 39 »
M. A. M. Niederhuber, J. R. Breschan

Catalogue data

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"

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits5 credits
ExaminersM. A. M. Niederhuber, J. R. Breschan
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places25 at the most
Waiting listuntil 04.03.2018

Offered in

ProgrammeSectionType
Doctoral Department of Environmental SciencesForest and Landscape ManagementWInformation
Spatial Development and Infrastructure Systems MasterMajor Courses for all majorsWInformation
Environmental Sciences MasterModeling and Statistical AnalysisWInformation
Environmental Sciences MasterMethods and ToolsWInformation