Geocomputation and Spatial Analytics

2018/2019

Prerequisite/Recommended prerequisite for participation in the module

Having completed the 1st Semester.

Content, progress and pedagogy of the module

Students who complete the module will acquire the following knowledge, skills and competencies:

Learning objectives

Knowledge

  • A wide range of advanced analysis and modelling methods like spatial statistics, raster-based modelling, network analysis, predictive models, multivariate analysis, classification, and hydrological analysis,
  • Multi-criteria evaluation and decision support systems.

Skills

  • Being able to understand and identify the strengths and weaknesses of the different geoprocessing methods and tools.
  • Identifying and applying advanced geocomputational techniques and decision analysis to solve practical problems

Competences

  • Having the ability to design and develop decision support systems from identifying appropriate data and tools to present the results to the decision makers and the public

Type of instruction

Combined lectures and exercises.



Exam

Exams

Name of examGeocomputation and Spatial Analytics
Type of exam
Written exam
ECTS5
Permitted aids
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentAre stated in the Joint Programme Regulations.

Facts about the module

Danish titleGeografisk analyse og modellering
Module codePGLLANK17208
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Copenhagen
Responsible for the module

Organisation

Study BoardStudyboard for Planning, Geography and Surveying
FacultyTechnical Faculty of IT and Design
SchoolSchool of Architecture, Design and Planning