Titlebook: Volunteered Geographic Information; Interpretation, Visu Dirk Burghardt,Elena Demidova,Daniel A. Keim Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if a

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Efficient Mining of Volunteered Trajectory Datasets stream of location data being generated every second. These location measurements are typically not considered individually but rather as sequences, each of which reflects the movement of one person or vehicle, which we call trajectory. This chapter presents new algorithmic approaches to process an

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Uncertainty-Aware Enrichment of Animal Movement Trajectories by VGIe investigate how multimodal user-generated data, consisting of images, videos, or text descriptions, can be used to enrich trajectories of migratory birds, e.g., for research on biodiversity or climate change. Firstly, we present our work on advanced visual analysis of GPS trajectory data. We devel

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Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Deta framework for analyzing the road and traffic situations for cyclists and pedestrians is presented, which only requires very few labeled examples. We address this problem by combining convolutional neural networks and random forests, transforming the random forest into a neural network, and generat

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Addressing Landmark Uncertainty in VGI-Based Maps: Approaches to Improve Orientation and Navigation nse of complex environments. Landmark representations in maps support map matching and orientation, because matching landmarks to their map representations provides information about spatial directions and distances. However, effective landmark-based map matching demands sufficiently accurate georef

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Improvement of Task-Oriented Visual Interpretation of VGI Point Data noise levels), which can lead to geometric and thematic clutter in visual presentations of regions with numerous VGI contributions. As a solution, cartography provides several point generalization operations that reduce the total number of points and therefore increase the readability of a map. How

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