Geographic Knowledge Discovery – Theses
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
An OGC Sensor Observation Service for GPS and Mobile Sensors
Masterarbeit of Roland Müller, B-IT Master-Studiengang Autonomous Systems, Hochschule Bonn-Rhein-Sieg, 2010, awarded with the AFCEA-Studienpreis
As a component of the OGC Sensor Web Enablement an OGC-conformant Sensor Observation Service (SOS) for GPS sensor data was devloped. Compared to other implementations so far, it shall support mobile sensors, like GPS-enabled mobile phones, which transmit the data through the transactions interface of the SOS. The thesis was conducted as part of the ESS project (thesisResearch Projects).
A Rich Client Framework for the OGC Sensor Web
Master thesis of Manuel Fabritius, B-IT Master-Studiengang Autonomous Systems, Hochschule Bonn-Rhein-Sieg, 2010
For this thesis an interactive web client was developed to access the OGC SOS. In particular, it shall visualize the movement of mobile sensors on maps and the data as time series graphs. This work was conducted as part of the ESS project (thesis).
The OGC Web Coverage Service specification for efficient spatio-temporal data querying and processing
Master thesis of Anup Deshmukh, Geographisches Institut der Universität Bonn, 2007
The OGC Web Coverage Server is the current standard for publication of gridded data on theweb. It represents a first cut at the problem of publishing gridded data. However, there is ample evidence that people who wish to publish multidimensional gridded data attempt to add to it. The thesis gives the details about the design and architecture of our Web Service refactoring of OGC specifications for the Web Coverage Service, determines how it falls short of meeting the needs of querying spatio-temporal data, and compares with similar facilities in other, more mature specifications. The pros and cons in adopting the conventions that are legal (if perhaps not “recommended”) according to the current specification will be assessed. (thesis)
Multicriteria analysis and visualization of location-allocation problems
Master thesis of Emilia Suomalainen, Department of Engineering Physics and Mathematics der Universität Helsinki, 2006
In a location-allocation problem (LAP), an optimal number of facilities has to be placed in an area of interest in order to satisfy the customer demand. The optimization objective can be, e.g., to minimize costs or to maximize profit and the situation can be characterized by various constraints. The total location area may also be divided into regions which have each their special characteristics. There are often several plausible scenarios for an LAP representing, for example, different budgets limitations, cost functions, or estimates for market growth. In this Thesis, the emphasis is on retail location-allocation problems and it is illustrated with a case study in retailing.Existing tools of GIS software are not sufficient for the visualization of dozens of multi-dimensional location-allocation solutions. This problem can be circumvented either by concentrating on the statistical properties of the solution set instead of examining and comparing the options one by one, or by trying to classify the solutions into groups whose properties can then be more easily compared. The methods of cluster analysis and subgroup discovery could prove useful in grouping the solutions. Also, principal component analysis can be used to reduce the dimensions of the problem and to facilitate visualization. (pdf)