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SANET: A Toolbox for Spatial Analysis on a Network
Author(s) -
Okabe Atsuyuki,
Okunuki Keiichi,
Shiode Shino
Publication year - 2006
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.0016-7363.2005.00674.x
Subject(s) - toolbox , voronoi diagram , computer science , preprocessor , spatial network , data mining , point (geometry) , function (biology) , algorithm , theoretical computer science , artificial intelligence , mathematics , combinatorics , geometry , evolutionary biology , biology , programming language
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.