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Category Archive for 'Crowd Analyser'

In the era of big data, ubiquitous Flickr geotagged photos have opened a considerable opportunity for discovering valuable geographic information. Point of interest (POI) and region of interest (ROI) are significant reference data that are widely used in geospatial applications. A recently published study (Kuo et al 2018) study aims to develop an efficient method [...]

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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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Our colleague René Westerholt was recently invited to deliver a Masterclass on ‘Spatial Analysis’ at the University of Warwick (UK) on Tuesday, 6th of March. The one-day-event was hosted by the Q-Step Centre, an initiative to strengthen quantiative skills of students enrolled at the Social Science Faculty. The workshop was attended by students from various [...]

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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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We recently published a new paper on the integration of geographic information into survey research. The paper is the outcome of a collaborative effort with colleagues from the Leibnitz Institute for the Social Sciences (GESIS) in Mannheim and from the University of Salzburg (Z_GIS) and it provides an overview of how the consideration of geographic [...]

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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.
Based [...]

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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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Last week, our colleagues Franz-Benjamin Mocnik and René Westerholt participated in a summer school of the DFG priority programme on “VGI”. GIScience Heidelberg is involved in that programme by two projects, one of which is dealing with data quality issues and another one that investigates the assessment of spatial assotiations in social media data. The [...]

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GIScience Heidelberg recently contributed to the Annual International Conference, which was held in the premises of the Royal Geographical Society and at the Imperial College in London. Together with João Porto de Albuquerque from the University of Warwick, our member René Westerholt convened two workshop sessions about “spatial urban analytics” on Friday 01 September (link [...]

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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 and [...]

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