Efficient Code for Second Order Analysis of Events on a Linear Network
Abstract
We describe efficient algorithms and open-source code for the second-order statistical analysis of point events on a linear network. Typical summary statistics are adaptations of Ripley's K-function and the pair correlation function to the case of a linear network, with distance measured by the shortest path in the network. Simple implementations consume substantial time and memory. For an efficient implementation, the data structure...
Paper Details
Title
Efficient Code for Second Order Analysis of Events on a Linear Network
Published Date
Jan 1, 2019
Volume
90
Issue
1
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