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SANET: A Toolbox for Spatial Analysis on a Network
Authors:Atsuyuki Okabe  Kei-ichi Okunuki  Shino Shiode
Institution:Center for Spatial Information Science, University of Tokyo, Tokyo, Japan,;Department of Geography, Nagoya University, Nagoya, Japan,;Center for Spatial Information Science, University of Tokyo, Tokyo, Japan
Abstract:This article shows a geographical information systems (GIS)-based toolbox for analyzing spatial phenomena that occur on a network (e.g., traffic accidents) or almost along a network (e.g., fast-food stores in a downtown). The toolbox contains 13 tools: random point generation on a network, the Voronoi diagram, the K -function and cross K -function methods, the unconditional and conditional nearest-neighbor distance methods, the Hull model, and preprocessing tools. The article also shows a few actual analyses carried out with these tools.
Keywords:
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