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Category Archive for 'Crowd Analyser'

The concept of place recently gains momentum in GIScience. In some fields like human geography, spatial cognition or information theory, this topic already has a longer scholarly tradition. This is however not yet completely the case with statistical spatial analysis and cartography. Despite that, taking full advantage of the plethora of user-generated information that we [...]

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The study “Mobile low-cost 3D camera maize crop height measurements under field conditions” (see the respective blog entry) is now available also as print version:

The updated citation is:
Hämmerle, M. & Höfle, B. (2018): Mobile low-cost 3D camera maize crop height measurements under field conditions. Precision Agriculture 19(4), pp. 630-647. doi: 10.1007/s11119-017-9544-3.

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This week our GIScience Heidelberg team member Rene Westerholt most successfully defended his PhD! Congratulations! Very well deserved!

The thesis is located at the interface between spatial analysis methodology and the characteristics of spatially superimposed random variables. Three types of contributions are presented:
(i) the interactions of spatial analysis techniques with spatially superimposed random variables
are investigated;
(ii) novel [...]

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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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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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