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

SemesterSpring Semester 2024
LecturersM. A. M. Niederhuber, V. Griess, A. Semiao Ramos Cordeiro Dias
Periodicityyearly recurring course
Language of instructionEnglish
CommentPrerequisites: 701-0951-00L "GIS - Introduction into Geoinformation Science" in autum semester or comparable preparatory training.



Courses

NumberTitleHoursLecturers
701-1674-00 GSpatial Analysis, Modelling and Optimisation
Lecture: Wednesday 10:15-12:00
Exercises: Wednesday 14:15-16:00 and Tuesday 12:15-14:00
4 hrs
Tue12:15-14:00NO D 39 »
Wed10:15-12:00RZ F 21 »
14:15-16:00NO D 39 »
M. A. M. Niederhuber, V. Griess, A. Semiao Ramos Cordeiro Dias

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"
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Problem-solvingassessed
Social CompetenciesCommunicationfostered
Cooperation and Teamworkfostered
Personal CompetenciesCritical Thinkingfostered

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, A. Semiao Ramos Cordeiro Dias
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

Places50 at the most
PriorityRegistration for the course unit is until 19.02.2024 only possible for the primary target group
Primary target groupEnvironmental Sciences MSc (736000)
Waiting listuntil 03.03.2024

Offered in

ProgrammeSectionType
Doctorate Environmental Systems SciencesForest and Landscape ManagementWInformation
Spatial Development and Infrastructure Systems MasterMajor Courses for all MajorsWInformation
Spatial Development and Infrastructure Systems MasterMajor Courses for all MajorsWInformation
Environmental Sciences MasterModeling and Statistical AnalysisWInformation
Environmental Sciences MasterMethods and ToolsWInformation