Optimizing raster storage: an examination of four alternatives.

M. F. Goodchild, A. W. Grandfield

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

The performance of many algorithms in spatial data processing depends on the way in which spatial entities are ordered. The paper defines a general class of problems in which the objective is to preserve as far as possible the spatial relationships present in two dimensions. Applied to a raster, the problem leads to the N or Morton ordering and a new Pi-order is proposed based on a familiar Peano curve. An algorithm is given for defining Pi-order. These are compared empirically and analytically to the conventional row ordering, and a simple variant, using a number of standard images and using a class of indices which includes the spatial autocorrelation measures. The empirical results support Pi-order but the analytic results are mixed.-Authors

Original languageEnglish (US)
Pages (from-to)400-407
Number of pages8
JournalUnknown Journal
StatePublished - Jan 1 1983
Externally publishedYes

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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