Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

Geographic data processing

Te lang geleden voor docent- en roosterinformatie
Contents:Geographic data processing is about the techniques needed to make software like geographic information systems and vehicle navigation systems work. The emphasis is on practical, algorithmic techniques. (The course replaces the course GIS, and may not be followed if GIS has already been done.)
Literature:Slides from the lectures, and book chapters as background reading material.
Course form:Lectures, combined with a project. Projects are done in pairs, and consist of the study and initial development of the solution to a geographic problem (possibly from automated cartography or spatial data analysis). Two written hand-ins must be made throughout the course that contain the observations and ideas that lead to a solution to the problem. The solutions will also be presented by the students in class.
Exam form:Written exam (50%) and project (50%). Both items must be evaluated with at least a 5.
Minimum effort to qualify for 2nd chance exam:At least a grade of 4 is needed to qualify.
Description:Geographic data processing occurs for many reasons in geographic information systems. The acquired data (through LiDAR, satellite images, map digitizing) must be cleaned up and processed into useful representations, the tasks that users want to perform must be done by combining spatial data, and to visualize the results of a geographic analysis, automated cartography techniques are needed. Geographic Information Systems (GIS) are elaborate software packages for the input, manipulation, analysis, and presentation of geographic data. With analysis of data we mean the possibilities for combining different thematic data sets or map layers (like population density and political preference), or generating best solutions (for the planning of a new airport), or modelling and computing consequences (for example, of global warming). Geographic Information Systems are use by geographers, politicians, geologists, civil engineers, etc. In this course the emphasis is on representation, algorithms, and cartographic computations. Geographic data processing is also common in vehicle navigation systems, for example to compute shortest routes.