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

SemesterSpring Semester 2021
LecturersM. A. M. Niederhuber, V. Griess
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 25.

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
Wed10:15-12:00LEE C 114 »
14:15-16:00NO D 39 »
M. A. M. Niederhuber, V. Griess

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.
Learning objectiveUnderstand, search for, and manage various types of geospatial data; Carry out conceptual data modelling for a spatial and/or optimisation problem and translate it into a tangible form within a GIS software; Conceptualize spatial and/or optimisation problems and design a workflow that transitions from "data processing" through "advanced spatial analysis" to "presentation of results"; Implement such a workflow in standard GIS and/or optimisation software, verify and validate the procedures, then present the final results.
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, V. Griess
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition possible without 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 07.03.2021

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