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Interesting Interval Discovery on Spatiotemporal Datasets

Interesting Interval Discovery on Spatiotemporal Datasets. C sci 8715 Fall 2013. Sub-path of Abrupt Change. Spatial sub-path of Abrupt Change[1] Sharp change in vegetation cover Transition between ecological zones ( ecotones ) Vulnerable to climate change

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Interesting Interval Discovery on Spatiotemporal Datasets

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  1. Interesting Interval Discovery on Spatiotemporal Datasets Csci 8715 Fall 2013

  2. Sub-path of Abrupt Change • Spatial sub-path of Abrupt Change[1] • Sharp change in vegetation cover • Transition between ecological zones (ecotones) • Vulnerable to climate change • Moves in response to climate change W1=[12N, 17N] The change is persistent and rapid A snapshot of vegetation cover in Africa [6]

  3. Sub-path of Abrupt Change • Temporal sub-path (interval) of Abrupt Change[1] • Abrupt shift in precipitation, temperature, etc. • Climate change detection. Raw Sahel precipitation anomaly (JJASO) Smoothed Sahel precipitation anomaly (JJASO)

  4. Case Study Output Data: NDVI by GIMMS, Africa, 1981 August. Resolution: 8km. Smoothed within 1x1 degree. Path: along each longitude (south  north) Interest measure: (Slope) Sameness degree ∆ : unit slope Thresholds:α= 20% percentile, SD ≥0.5 AVG{∆} AVG≥α{∆}

  5. Potential Project ideas • Explore other interest measures to find interesting interval patterns • High correlations time periods between two time series • High variation periods of time series • Implement an R software[2] package and enable user defined interest measure [1]. Xun Zhou, ShashiShekhar, Pradeep Mohan, Stefan Liess, and Peter K. Snyder. "Discovering interesting sub-paths in spatiotemporal datasets: A summary of results." In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 44-53. ACM, 2011. [2]. The R project for statistical computing: http://www.r-project.org/

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