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Sökning: db:Swepub > Högskolan i Gävle > Lunds universitet > Harrie Lars

  • Resultat 1-5 av 5
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  • Dahlgren, Anders, et al. (författare)
  • Planning Rescue Services with Non-Stationary Rescue Units
  • 2009
  • Ingår i: Fire Technology. - Springer. - 0015-2684. ; 45:3, s. 239-255
  • Tidskriftsartikel (refereegranskat)abstract
    • Geographical accessibility is fundamental when planning rescue services. At present there are several programs for computing the accessibility of stationary rescue units. This study suggests a method for evaluating geographic accessibility in scenarios containing also non-stationary units. The method supports the planning process by matching the risk of an incident occurring with the rescue units’ capabilities and accessibility. The method is implemented in the computer program Rescue Unit Planner. The result of the analysis is presented in thematic maps and graphs as level of coverage, mean response time and concentration. The method and the computer program have been evaluated in two case studies: one urban area in southern Sweden and one rural area in northern Sweden. The case studies show that that this method can be useful in the rescue service planning process.
  • Harrie, Lars, 1968-, et al. (författare)
  • Some strategic national initiatives for the Swedish education in the geodata field
  • 2014
  • Ingår i: Connecting a Digital Europe through Location and Place : Selected best short papers and posters of the AGILE 2014 Conference, 3‐6 June 2014, Castellón, Spain. - AGILE Digital Editions. - 978-90-816960-4-3
  • Konferensbidrag (refereegranskat)abstract
    • This paper describes national cooperation in Sweden launched by its universities and authorities, aimed at improving geodata education. These initiatives have been focused upon providing common access to geodata, the production of teaching materials in Swedish and organizing annual meetings for teachers. We argue that this type of cooperation is vital to providing high quality education for a poorly recognized subject in a country with a relatively small population.
  • Jiang, Bin, et al. (författare)
  • Selection of Streets from a Network Using Self-Organizing Maps
  • 2004
  • Ingår i: Transactions in Gis. - 1361-1682. ; 8:3, s. 335-350
  • Tidskriftsartikel (refereegranskat)abstract
    • We propose a novel approach to selection of important streets from a network, based on the technique of a self-organizing map (SOM), an artificial neural network algorithm for data clustering and visualization. Using the SOM training process, the approach derives a set of neurons by considering multiple attributes including topological, geometric and semantic properties of streets. The set of neurons constitutes a SOM, with which each neuron corresponds to a set of streets with similar properties. Our approach creates an exploratory linkage between the SOM and a street network, thus providing a visual tool to cluster streets interactively. The approach is validated with a case study applied to the street network in Munich, Germany.
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