Quantification of spatial spread in track‐based applications | Zendy

Cheung Jacob C. H. | Zendy

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Quantification of spatial spread in track‐based applications

Author(s) -

Cheung Jacob C. H.

Publication year - 2016

Publication title -

meteorological applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.672

H-Index - 59

eISSN - 1469-8080

pISSN - 1350-4827

DOI - 10.1002/met.1556

Subject(s) - track (disk drive) , computer science , set (abstract data type) , metric (unit) , ellipse , similarity (geometry) , tropical cyclone , data mining , spatial analysis , measure (data warehouse) , remote sensing , meteorology , artificial intelligence , geography , mathematics , image (mathematics) , operations management , geometry , economics , programming language , operating system

Traditionally, spaghetti charts and track ellipses are used in track‐based meteorological applications to illustrate the spatial uncertainty of a set of paths on a map. However, the spatial spread of the set is often evaluated by the eye, and as a result, the decisions made can be highly subjective. A unit‐less metric based on the Fréchet distance is developed and proposed as a consistent way of quantifying spatial uncertainty in track‐based applications. The methodology described is generic and can be configured for use in applications where a measure of the spatial similarity among a set of tracks is required, such as tropical storm track forecasts and flight/ship routing.

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