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 language | English (US) |
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Pages (from-to) | 400-407 |
Number of pages | 8 |
Journal | Unknown Journal |
State | Published - Jan 1 1983 |
Externally published | Yes |
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)