@article{ref1,
title="Comparison of planar and network K-functions in traffic accident analysis",
journal="Journal of transport geography",
year="2004",
author="Yamada, Ikuho and Thill, Jean-Claude",
volume="12",
number="2",
pages="149-158",
abstract="The network and planar K-function methods are applied to traffic accident data to illustrate the risk of false positive detection associated with the use of a statistic designed for a planar space to analyze a network-constrained phenomenon. We also demonstrate the benefits of using a method specifically designed for a network space. The results clearly indicate that the planar K-function analysis is problematic since it entails a significant chance of over-detecting clustered patterns. Analyses are implemented based on Monte Carlo simulation and applied to 1997 traffic accident data in the Buffalo, NY area.<p />",
language="",
issn="0966-6923",
doi="10.1016/j.jtrangeo.2003.10.006",
url="http://dx.doi.org/10.1016/j.jtrangeo.2003.10.006"
}