One-to-Two Digital Earth

Discrete global grid systems (DGGSs) are an emerging multiresolution 3D model used to integrate and analyze big earth data. The characteristic of multiresolution is usually realized by hierarchically subdividing cells on the sphere using certain refinement. This paper introduces mixed aperture three- and four- icosahedral hexagonal DGGSs using two types of refinement, the various combinations of which can provide more resolutions compared with pure aperture hexagonal DGGSs and can flexibly design the aperture sequence according to the target resolutions. A general hierarchy-based indexing method is first designed, and related indexing arithmetics and algorithm are developed based on the indexing method. Then, the grid structure on the surface of the icosahedron is described and by projection spherical grids are obtained. Experiments show that the proposed scheme is superior to pure aperture schemes in choosing grid resolutions and can reduce the data volume by 38.5% in representing 1-km resolution raster dataset; using the proposed indexing arithmetics to replace spherical geometry operations in generating discrete spherical vector lines based on hexagonal cells can improve the generation efficiency.

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“…A DGGS reference framework should consist of the following core elements: base polyhedron, type of cells, tessellation, and type of index [12].…”

Section: Related Workmentioning

confidence: 99%

“…The tetrahedron is simple and it was ever used to construct the virtual globe [18]. DGGSs based on cubes are popular [12,19,20]. Cubes can fit the Cartesian coordinate system well, which facilitates calculation.…”

Section: Related Workmentioning

confidence: 99%

Indexing Mixed Aperture Icosahedral Hexagonal Discrete Global Grid Systems

Wang

Ben

Zhou

et al. 2020

IJGI

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“…In general, DGGSs that have a planar square grid have many favourable characteristics including familiarity of square grids for users and compatibility with (i) existing hardware and display devices, (ii) quad-tree based algorithms, (iii) hierarchical data structures, and (iv) coordinate systems (Sahr et al 2003;Gregory et al 2008;Amiri et al 2015). Although many innovative square based DGGSs have been designed, such as (Ma et al 2009) and (Amiri et al 2013), the rHEALPix DGGS appears most often in DGGS related articles and literature. In order to understand the rHEALPix DGGS, it is important to mention the HEALPix DGGS.…”

Section: The Rhealpix Dggsmentioning

confidence: 99%

“…Two features that distinguish the rHEALPix DGGS from the popular the ISEA3H DGGS, are congruent cell structure, and isolatitude distribution of cells. Firstly, congruency is an important property because it makes hierarchical based cell indexing a trivial process which enables efficient handling of large volumes of data (Amiri et al 2013;Amiri et al 2015). Secondly, isolatititude distribution of cells is a rare quality in DGGSs.…”

Section: Key Featuresmentioning

confidence: 99%

The rHEALPix Discrete Global Grid System: considerations for Canada

Bowater

Stefanakis

2018

Geomatica

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Geospatial data is ubiquitous. However, the geographic grid is not designed to manage, store, or integrate huge volumes of heterogeneous geospatial data. One possible solution to these challenges is a Discrete Global Grid System (DGGS), which was recently announced as a new standard by the Open Geospatial Consortium (OGC). If Canada plans to utilize a DGGS in the future to reference geospatial data, research is needed to explore characteristics and suitability of different DGGSs. Although hexagonal- and triangular-based DGGSs are popular, the square-based rHEALPix DGGS mirrors the geographic grid more closely and has many advantages. This paper reviews key features of the rHEALPix DGGS, outlines recent work, and qualitatively considers cell shape and cell orientation with respect to Canada, including how variations can be avoided or exploited by rotating the grid.

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“…A DGGS can be thought of as a discrete, multiresolution, digital framework for referencing geospatial information to the earth. For the last two decades, DGGSs have played an important role in Digital Earth research (Adams, 2017;Amiri, Bhojani, & Samavati, 2013;Amiri, Samavati, & Peterson, 2015;Goodchild, 2000;Lin, Zhou, Xu, Zhu, & Lu, 2018;Sherlock, 2017;Vince & Zheng, 2009) but they are now gaining attention in the big data community and have recently been suggested as a solution to IoT (Internet of Things) data integration (Purss et al, 2017), big spatial vector data management (Yao & Li, 2018), and as the de facto global reference system for geospatial big data (OGC, 2017a). In addition, they have recently been utilized in the design of a scalable crowdsensing platform for geospatial data (Birk, 2018), and in the study of massive point cloud handling (Sirdeshmukh, 2018).…”

Section: Introductionmentioning

confidence: 99%

On the isolatitude property of the rHEALPix Discrete Global Grid System

Bowater

Stefanakis

2019

Big Earth Data

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Digital Earth frameworks provide a way to integrate, analyze, and visualize large volumes of geospatial data, and the foundation of such frameworks is the Discrete Global Grid System (DGGS). One approach in particular, the rHEALPix DGGS, has the rare property of distribution of cell nuclei along rings of constant latitude (or isolatitude rings). However, this property is yet to be explored. In this paper, we extend existing work on the rHEALPix DGGS by proposing a method to determine the isolatitude ring on which the nucleus of a given cell falls by converting a cell identifier to isolatitude ring without recourse to geodetic coordinates. In addition, we present an efficient method to calculate the geodetic latitude of a cell's nucleus via its associated isolatitude ring. Lastly, we use the proposed methods to demonstrate how the isolatitude property of the rHEALPix DGGS can be utilized to facilitate latitudinal data analysis at multiple resolutions.

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One-to-Two Digital Earth

Cited by 14 publications

References 16 publications

Indexing Mixed Aperture Icosahedral Hexagonal Discrete Global Grid Systems

Indexing Mixed Aperture Icosahedral Hexagonal Discrete Global Grid Systems

The rHEALPix Discrete Global Grid System: considerations for Canada

On the isolatitude property of the rHEALPix Discrete Global Grid System

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