|Website:||website containing additional information|
|Period:||period 4 (week 17 through 27, i.e., 23-4-2012 through 6-7-2012; retake week 34)
|Participants:||up till now 31 subscriptions|
|Schedule:||Official schedule representation can be found in Osiris|
|Teachers:||Dit is een oud rooster!
|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, as opposed to theoretical, algorithmic techniques.|
|Literature:||Slides from the lectures, and possibly book chapters as background reading material.|
|Course form:||Lectures, combined with a project. Projects are done in pairs or triples, 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. No implementation will be done.|
|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:||You need a 4 for the written exam to qualify for the second chance written exam.|
|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.
There are a lot of companies that deal with geographic data. GMT master thesis projects have been done (in the past) at TomTom, QPS, Vicrea, Logica Nieuwegein, NLR, IT Works, TNO, Cadastral office, ...|