Geospatial Data Organization Methods with Emphasis on Aperture 3 Hexagonal Discrete Global Grid Systems


Digital Earth frameworks deal with data sets of different types collected from various sources. In order to effectively store, retrieve, and transmit these data sets, efficient multiscale data representations that are compatible with the underlying structure of the Digital Earth framework are required. In this paper, we describe several such techniques and their properties; namely, how to represent data in the multiscale cell hierarchy of a DGGS or in the multiscale hierarchy of a customized wavelet transform. We also discuss how these techniques can be tuned to be applicable to the A3H DGGS.

Cartographica: The International Journal for Geographic Information and Geovisualization (University of Toronto Press)
Ali Mahdavi-Amiri

Alumni Postdoc and Research Associate

April 2015 - December 2016

Ali is a former Postdoctoral Scholar interested in geometric modelling, geospatial visualization, Digital Earth representations, and spatial data structures.