Lacunarity for spatial heterogeneity measurement in GIS

Abstract

As a scale dependent measure of heterogeneity, lacunarity has been applied to the analysis of structures in both fractals and non-fractals. In this paper, the lacunarity concept and some lacunarity estimation methods are briefly described, then a Lacunarity Analysis extension for ArcView GIS (ESRI) is introduced. Using binary and grayscale images, several examples are also given for lacunarity analysis of spatial heterogeneity. Experiments with gray-scale image textures show that a new lacunarity estimation method can provide more accurate heterogeneity measurement than some existing methods. The results suggest that lacunarity analysis is a promising tool for spatial heterogeneity measurement in a GIS environment. © 2000 Taylor & Francis Group, LLC.