Category: Publications
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Recent Progress in Automated Cartography at German Cartographers Day at INTERGEO
The German Cartographers Day (Deutscher Kartographentag) is taking place at INTERGEO conference held in Stuttgart this week. We will present an update on recent progress in automated cartography in a talk by Andreas Reimer and Maxim Rylov about our latest improvements in automated label placement, which have been implemented in MapSurfer.NET as published as in OpenMapSurfer.uni-hd.de.…
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Program of our ISSDQ session on “Quality analysis of Volunteered Geographic Information (VGI) towards effective use” is online
The program of our special session SS1 on “Quality analysis of Volunteered Geographic Information (VGI) towards effective use” at the 9th International Symposium on Spatial Data Quality (ISSDQ 2015) has been published online. ISSDQ is an event at the ISPRS Geospatial Week 2015 in Montpellier – La Grande Motte, France. The session is scheduled on…
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Quality Evaluation of OSM with Authoritative Data — a study of Land Use in Southern Germany
Volunteered Geographic Information (VGI) such as data derived from the OpenStreetMap (OSM) project is a popular data source for freely available geographic data. There is frequently a cause of concern regarding the quality and usability of such data. In addition to our former studies (further here) or complementing our OSM in GIScience Book in a…
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IJGIS Review for OpenStreetMap in GIScience Book
The International Journal of Geographical Information Science (IJGIS) published a first review by Wen Lin at Taylor & Francis Online (DOI: 10.1080/13658816.2015.1077965) about our Springer book on OpenStreetMap in GIScience: experiences, research and applications, edited by Jamal Jokar Arsanjani, Alexander Zipf, Peter Mooney and Marco Helbich (2015, Springer Series: Lecture Notes in Geoinformation and Cartography,…
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A Conceptual Quality Framework for Volunteered Geographic Information (VGI)
The assessment of the quality of volunteered geographic information (VGI) is cornerstone to understand the fitness for purpose of VGI in many application domains. Most analyses focus on the geometric and positional quality, and only sporadic attention has been devoted to the interpretation of the data, i.e., the communication process through which consumers try to…
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How to find the fastest way out of a dense human crowd using your smartphone?
In our research “Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery“, we propose a navigation approach for smartphones that enables visitors of major events to avoid crowded areas or narrow streets and to navigate out of dense crowds quickly. Two types of sensor data are integrated. Real-time optical images acquired…
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Pairwise Line Labeling of Geographic Boundaries
We present an algorithm that labels linear features with two matched toponyms describing the left and the right side of a line, respectively. Such a pairwise line labeling is a common technique used in manually produced maps (see Figure 1). The lines differentiate administrative divisions or other geographic subdivisions. The proposed method can be used…
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Mapping Support Event for Nepal at ISCRAM conference 2015 in Norway
As members of the disastermappers heidelberg and the GIScience Research Group Benjamin Herfort and Melanie Eckle were presenting their research at this years ISCRAM conference in Kristiansand, Norway. ISCRAM being a conference for researchers and practitioners in the field of disaster and emergency management, they also used this situation to set up a spontaneous Mapping…
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Geo-reCAPTCHA: Crowdsourcing large amounts of geographic information from earth observation data
With the Geo-reCAPTCHA we present a new concept for crowdsourcing of vast amounts of geoinformation by micro-mapping tasks. The paper can be downloaded free of charge (until 22 May 2015). In our study we investigated the possibilities and limitations of capturing building footprints via Geo-reCAPTCHA based on remote sensing imagery. We could analyze more than…
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How to detect post-harvest growth from terrestrial LiDAR point clouds in precision agriculture? Read the new paper about comparative classification analysis
The new paper “Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture” has just been finally released in the ISPRS Journal of Photogrammetry and Remote Sensing. http://dx.doi.org/10.1016/j.isprsjprs.2015.03.003 Citation Koenig, K., Höfle, B., Hämmerle, M., Jarmer, T., Siegmann, B. & Lilienthal, H. (2015): Comparative classification analysis of post-harvest growth detection…