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Category Archive for 'VGI Group'

Last week about 30 scientists from different insitutions from all across Germany came together in Heidelberg to conduct collaborative research. The research week is the result of an intense collaboration within the DFG Priority Programme VGIscience, which deals with the following topics
Information Retrieval and Analysis of VGI:
• information extraction (space, time, semantics)
• data aggregation and [...]

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The recent availability of user-generated geographic datasets allows gaining novel insights into otherwise hardly observable societal phenomena. Geosocial media forms one important source of user-generated information, which partly describes the everyday lives of people. The analysis of these kinds of data, however, requires new approaches. Geosocial media data—like those extracted [...]

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The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large [...]

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Rochester NY, a small city located at Lake Ontario, became a gathering place for the international ISCRAM community last week. Researchers and practitioners from over 20 countries presented their latest work, ideas and needs related to crisis management at the 15th ISCRAM conference.
Crisis and humanitarian management being one of the main focuses of the HeiGIT/ [...]

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Disaster mapping activations that are supported by many volunteers with various levels of experience raise questions related to the quality of the provided Volunteered Geographic Information. Learning about the data quality that can be expected in a disaster activation helps to evaluate the quality and fitness for purpose of the OSM data.
At the ISCRAM 2018 [...]

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The production of Volunteered Geographic Information (VGI) is a type of human behavior which emerges via direct and indirect interactions with the physical environments described by these data. The nature of these interactions and the extent to which they rely on physical presence in the mapped area may affect the quality of the resulting digital [...]

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With the aim of rapidly estimating the updated state of the CORINE land-cover map at the frequency with which the OpenStreetMap (OSM) dataset is edited and extended, we propose an approach for automatically associating widely used OSM tags to Level 1 and Level 2 CORINE land-cover classes. This association is probabilistic and is undertaken based [...]

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Among semi-automated methods and pre-processed data products, crowdsourcing is another tool which can help to collect information on human settlements and complement existing data, yet it’s accuracy is debated. Whereas the potential of crowdsourced datasets for training of machine learning algorithms has been explored recently, only few work has been done towards utilizing machine learning [...]

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Accessibility is a widely discussed topic and there are a growing number of efforts to sensitise European cities and municipalities to the topic. A focus of such efforts is the facilitation of easy access to public places for everyone, including those with walking disabilities, balance and visual disorders, as well as people requiring the use [...]

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A paper for the Academic Track of the State of the Map Conference, Milan, has been accepted. We are looking forward to discuss with you following aspects:
A growing number of studies analyzes OSM data, its contributors, usage, and quality.
Such studies were mostly limited to analyzing either small samples of the OSM database or to simple [...]

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