Geospatial Data Organization Methods with Emphasis on Aperture-3 Hexagonal Discrete Global Grid Systems
Bibliographic Data
| ID | 14701575 |
|---|---|
| Authors | Ali Mahdavi Amiri (Simon Fraser University, corresponding author), Troy Alderson (0000-0001-5528-8652, University of Calgary), Faramarz Samavati (University of Calgary), Faramarz F Samavati (0000-0001-9440-7562, University of Calgary) |
| Year | 2019 |
| Volume | 54 |
| Issue | 1 |
| Pages | 30-50 |
| Publication date | 2019-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/cart.54.1.2018-0010 |
| OpenAlex | W2932849524 |
| Language | EN |
| Citations received | 3 |
| References cited | 35 |
Digital Earth frameworks deal with data sets of different types collected from various sources. To effectively store, retrieve, and transmit these data sets, efficient multi-scale data representations that are compatible with the underlying structure of the Digital Earth framework are required. In this article, we describe several such techniques and their properties: namely, how to represent data in the multi-scale cell hierarchy of a discrete global grid system (DGGS) or in the multi-scale hierarchy of a customized wavelet transform. We also discuss how these techniques can be tuned to be applicable to the A3H DGGS
Data mining · Distributed computing · Emphasis (telecommunications · Geography · Geospatial analysis · Grid · Hierarchy · Remote sensing · Scale (ratio · Telecommunications · Wavelet · Automated Road and Building Extraction · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Artificial Intelligence · Theoretical Computer Science
| Citations per year | 0.6 |
|---|---|
| Citation span | 2021 - 2024 (4) |
| Highly cited | No |