T. Xu’s scientific contributions

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Publications (1)


A general algorithm for calculating force histograms using vector data
  • Article

January 2012

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30 Reads

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5 Citations

D. Recoskie

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T. Xu

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P. Matsakis

The histogram of forces is a generic relative position descriptor with remarkable properties, and it has found many applications, in various domains. So far, however, the applications involve objects in raster form. The fact is that several general algorithms for the computation of force histograms when dealing with such objects have been developed; on the other hand, there is no general algorithm available for objects in vector form, and the algorithms for raster objects cannot be adapted to vector objects. Here, the first general algorithm for calculating force histograms using vector data is presented.

Citations (1)


... The reason for the use of HoF instead of other topological analysis is because HoF can measure the relationship between objects' shapes, orientation, size, and distance (Matsakis & Nikitenko, 2005) from a single round of calculation, which can be useful for the analysis of a large set of data. For this research, we implemented a Grasshopper algorithm for the HoF calculation, and we verified our method by replicating the work of Recoskie et al. (2012). For example, the disjoint characteristics of Canada and South America are represented as a histogram where the straight lines from random points in South America rotate 360 • starting at 0 • , and when the lines cross Canada, the lines are divided infinitely, and the lengths are summed up. ...

Reference:

Decision support system for evidence-based precautionary ecological planning
A general algorithm for calculating force histograms using vector data
  • Citing Article
  • January 2012