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Author (up) Carolin Klonner; Luca Blessing pdf 
  Title Gathering Local Knowledge for Disaster Risk Reduction: The Use of Sketch Maps in Group Discussions Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages 1397-1398  
  Keywords  
  Abstract Participatory approaches can be applied to investigate the geospatial knowledge and risk perception of citizens in disaster-affected regions. Knowledge gained this way can improve, for example, the precision of official risk maps for specific locations. A dialogue between researchers, citizens, and centers of expertise can be established, which enables exchange around recommendations for measures of disaster risk reduction on a local level. The presented approach is based on previous studies about the use of sketch maps for disaster risk reduction .These previous studies and related methods are further developed so that they can be used for group discussions. In this way, citizens can be involved in the whole disaster reduction process, which can help to motivate them to take own mitigation measures. Our approach offers automatic georeferencing and color detection. This enables a fast processing of the data and efficient use for disaster management. Moreover, the approach is paper-based in order to include marginalized groups, which do not have knowledge of specific technologies or access to the internet  
  Address Institute of Geography, Heidelberg, Germany  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track Poster Session Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes c.klonner@uni-heidelberg.de; luca.blessing@stud.uni-heidelberg.de Approved no  
  Call Number Serial 1827  
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