Category: Crowd Analyser
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Contribution selected for final round of GISRUK data challenge
The results of an analysis of migration data and of the Brexit referendum votes are among only four selected finalists of this year’s data challenge associated with the GISRUK conference. The research was conducted by a team advised by Professor João Porto de Albququerque (University of Warwick) including our colleague René Westerholt. The idea of…
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A novel test on the influence of spatial structure on the variance in local conditions
Statistical parameters often vary across geographic landscapes. For instance, when the the variance of georeferenced random variables is not stable, this might hint on variegated processes or contextual conditions in different sub-regions. Analysing such heterogeneous areas is challenging because an explicit consideration of this so-called spatial heterogeneity is required. Various approaches exist that take account…
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Mobile low-cost 3D camera maize crop height measurements under field conditions
Maps of the spatial distribution of crop heights can strongly support agriculture in terms of efficiency and yield optimization. Recently published results of experiments of the 3D Spatial Data Processing research group describe an approach to easily extend regular agricultural machines with low-cost sensors for capturing crop heights while the machine is in the field.…
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The OpenStreetMap folksonomy and its evolution
The comprehension of folksonomies is of high importance when making sense of Volunteered Geographic Information (VGI), in particular in the case of OpenStreetMap (OSM). So far, only little research has been conducted to understand the role and the evolution of folksonomies in VGI and OSM, which is despite the fact that without a comprehension of…
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Martin Hämmerle receives PhD
Yesterday, our colleague Dr. Martin Hämmerle defended his PhD thesis with great success. We would like to congratulate him – with our sincere thanks for his hard work and amazing research the last years. Martin is an expert on 3D geodata (with focus on 3D point clouds from LiDAR and photogrammetry), methods for 3D processing…
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Reducing stress by avoiding noise with ‘Quiet Routing’ in OpenRouteService
Noise pollution is a growing problem in many urban environments, affecting citizens’ daily life. It can reduce citizens’ happiness, increase their stress, and even people them get sick if they are exposed to noise pollution for a long period of time. In recent studies we investigate the use of crowdsourced data to derive noise polluted…