Enhancing the Jaquez k Nearest Neighbor Test for Space-Time Interaction
AbstractThe Jacquez k nearest neighbor test, originally developed to improve upon shortcomings of existing tests for space-time interaction, has been shown to be a robust and powerful method of detecting interaction. Despite its flexibility and power however, the test has three main shortcomings: (1) it discards important information regarding the spatial and temporal scale at which detected interac- tion takes place; (2) the results of the test have not been visualized; (3) recent research demonstrates the test to be susceptible to population shift bias. This study presents enhancements to the Jacquez k nearest neighbors test with the goal of addressing each of these three shortcomings and improving the utility of the test. Data on Burkittâ€™s lymphoma cases in Uganda between 1961-1975 are employed to illustrate the modifications and enhance the visual output of the test. Output from the enhanced test is compared to that provided by alternative tests of space-time interaction. Results show the enhancements presented in this study transform the Jacquez test into a complete, descriptive, and informative metric that can be used as a stand alone measure of global space-time interaction.
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Bibliographic InfoPaper provided by GeoDa Center for Geospatial Analysis and Computation in its series GeoDa Center Working Papers with number 1052.
Date of creation: 2012
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space-time interaction; Jacquez k nearest neighbor; visualization; space-time cube; population shift bias;
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- Uwe Ligges & Martin Maechler, . "scatterplot3d - An R Package for Visualizing Multivariate Data," Journal of Statistical Software, American Statistical Association, vol. 8(i11).
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