SANET: A Toolbox for Spatial Analysis on a Network

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.