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Quantile Spatial Scan Statistic: A Method for Finding Unusual Regions in Space

Speaker: Travis W Moore

When analyzing spatial data, the common task involves finding unusual regions that differ from the surrounding area. Existing techniques compare regions according to the means of their distributions to measure unusualness. Comparing means is not only vulnerable to outliers, but it is also restrictive as an analyst may want to compare other parts of the probability distributions. For instance, an analyst interested in unusual areas for high-end homes would be more interested in the 90th percentile of home sale prices than in the mean. We introduce the Quantile Spatial Scan Statistic (QSSS), which finds unusual regions in spatial data by comparing quantiles of data distributions while accounting for covariates at each data point. We also develop an exact incremental update of the hypothesis test used by the QSSS, which results in a massive speedup over a naive implementation.

Wednesday, November 7 at 3:00pm to 4:00pm

Kelley Engineering Center, 1005
110 SW Park Terrace, Corvallis, OR 97331

Event Type

Lecture or Presentation

Event Topic

Research

Organization
College of Engineering, Electrical Engineering and Computer Science
Contact Name

Aayam K. Shrestha

Contact Email

robotics-bounces@engr.orst.edu

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