Visualizing Marked Spatial and Origin-Destination Point Patterns With Dynamically Linked Windows

Abstract

We present dynamic linked graphs for exploratory analysis of spatial marked point processes data and give an introduction to our exploratory graphical analysis tool, called Marked Point Processes Exploratory Analysis (MaPPEA). In particular, we consider point processes with events marked with another spatial event representing origin-destination data types. Using linked windows brushing, MaPPEA provides an illustration of the structure and relationships between marks and locations of point patterns. The main feature is the dynamically changing, spatially localized graphical summary of the mark distribution. Many different graphical summaries are available, and they are updated dynamically as the user moves the mouse on the map showing the events. The methods are illustrated with data on car theft location and the eventual car retrieval location and on trees’ locations and their associated marks. This article has supplementary material online.