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Data Structures for Spatial Grids

  • Valliappa Lakshmanan
Chapter
Part of the Geotechnologies and the Environment book series (GEOTECH, volume 6)

Abstract

Spatial grids can be represented in a number of ways: as an array of numbers, a list of pixels, a level set, a topographic surface, a Markov chain, a matrix, a parametric approximation, a multiresolution pyramid, or as a multiscale tree. Each of these representations makes the grid amenable to specific types of processing. We illustrate the benefits of each of these representations on the problem of extracting the most populated cities in North America from a population density grid. Along the way, we explore Radial Basis Function, projection pursuit, and Gaussian Mixture Models.

Keywords

Gaussian Mixture Model Spatial Grid Projection Pursuit Negative Amplitude Topographical Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht. 2012

Authors and Affiliations

  • Valliappa Lakshmanan
    • 1
  1. 1.National Weather CenterUniversity of OklahomaNormanUSA

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