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Road Network Conflation is concerned with finding accurate mappings between geographical structures of road networks. This thesis establishes Road Network Conflation within a taxonomy of georeferencing methods and classifies and compares common approaches to the problem. A novel approach called Iterative Hierarchical Conflation (IHC) is introduced, which systematically accounts for the resolution of ambiguities. The IHC is evaluated using several samples from digital maps of different vendors. Results show that the IHC offers advantages especially in terms of correctness, speed and complexity. Road Network Conflation bezeichnet das Problem, geeignete Abbildungen zwischen Straßennetzen digitaler Karten zu identifizieren. Diese Dissertation ordnet Road Network Conflation in eine Taxonomie von Georeferenzierungsverfahren ein. Gängige Ansätze werden klassifiziert und verglichen. Ein neuartiger Ansatz namens Iterative Hierarchical Conflation (IHC) wird vorgestellt, welcher eine systematische Auflösung von Mehrdeutigkeiten vorsieht. Der IHC wird anhand mehrerer Beispieldatensätze von digitalen Karten verschiedener Hersteller evaluiert. Die Ergebnisse zeigen, dass der IHC insbesondere bei Korrektheit, Geschwindigkeit und Komplexität Vorteile bietet.

The study presents a conceptual model to build a high level geo knowledge based system to manage real world processes. A generic event oriented perspective was used to implicitly represent causal relationships among different components of a Spatio-Temporal Geographic Information system. To utilize the collected event information, a Volunteered Location Based Service was developed. In addition a tool was signed to increase the general awareness of the volunteers in spatial analysis and shift their power and influences from a mere data collector to a knowledge producer. Diese Studie stellt ein konzeptionelles Modell vor, um ein geo-wissensbasiertes System zum Managen der realen Weltprozessen zu erstellen. Eine generische ereignisorientierte Perspektive wurde verwendet, um implizit die kausalen Zusammenhänge zwischen den verschiedenen Komponenten eines räumlich-zeitlichen Systems darzustellen. Um die gesammelten Ereignisinformationen zu nutzen, wurde ein “Volunteered Location Based Service” entwickelt. Darüber hinaus wurde ein Tool entwickelt, um das allgemeine Bewusstsein der Freiwilligen in räumlichen Analyse zu erhöhen.

The purpose of this article is to investigate the density calculation and representation of spatially and temporally highly dynamic point data sets. We suggest an approach to explore point patterns that have a temporal dimension and therefore introduce an incremental development of the traditional kernel density estimation processes. Based on a movement vector assigned to each moving point, we apply a directed (or tilted) kernel to calculate and visualize the density pattern. The resulting density map recognizes the dynamic behavior of the underlying data points. By applying a shade effect or contour lines, the areas with densely distributed moving points are characterized by directed 'ripples' or 'waves'. This assists the visual analysis and prediction of 'movement trends' based on the dynamic points. In our case study, we apply this method to airplane movement data limited to two points in time and we thereby visualize the results for the study area over Germany. Refereed/Peer-reviewed