A spatial indexing method for the hexagon discrete global grid system

Ben, Jianwei; Tong, Xiaochong; Chen, Rongguo

doi:10.1109/geoinformatics.2010.5567972

Cited by 12 publications

(8 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This creation process for units is restricted to one map projection and is consequently not applicable for worldwide use. To overcome this restriction, the global grids approach with a nearly constant cell size could be used (Ben, Tong, & Chen, 2010;Lin, Zhou, Xu, Zhu, & Lu, 2018).…”

Section: Aggregating Points Into a Regular Structurementioning

confidence: 99%

Micro diagrams: visualization of categorical point data from location-based social media

Gröbe

Burghardt

2020

Cartography and Geographic Information Science

View full text Add to dashboard Cite

Location-based social media data from different platforms such as Twitter and Flickr increasingly serve with their point-geocoded content as data sources for a variety of applications. The standard visualization method uses a derivation of point maps, which works well with a limited amount of data, but it suffers from weaknesses related to cluttering and overlapping, especially for sets of categories. We developed a new visualization method for categorical point data, called "Micro Diagrams", which uses small diagrams to show the percentages of categories and the spatial distribution. The processing steps to derive the micro diagrams start with aggregating the points in a regular grid structure, which is followed by the selection of the diagram type that represents the numerical proportions and the application of a size scaling function to show the amounts of data. Various parameterization options are discussed and the influence of the color selection is analyzed. Finally, a case study combined with a user test presents the strengths and limits of the micro diagram method.

show abstract

Section: Aggregating Points Into a Regular Structurementioning

confidence: 99%

Micro diagrams: visualization of categorical point data from location-based social media

Gröbe

Burghardt

2020

Cartography and Geographic Information Science

View full text Add to dashboard Cite

show abstract

“…Other hexagon-based DGGSs include the OA3HDGG and OA4HDGG (Octahedral Aperture 3/4 Hexagonal Discrete Global Grid (Vince 2006;Ben et al 2010)). As implied by the name(s), both DGGSs are constructed from an octahedron that undergoes a hexagonal refinement.…”

Section: Scientific Digital Earthsmentioning

confidence: 99%

Digital Earth Platforms

Alderson

Purss

et al. 2019

Manual of Digital Earth

View full text Add to dashboard Cite

In this chapter, we provide a thorough discussion on Digital Earth with particular focus on Discrete Global Grid Systems (DGGS), which are a standardized representation of the Earth. We describe the necessary components of a DGGS, such as the underlying 2D representation, indexing system, projection, and cell types. We also discuss a selection of well-known public and commercial DGGSs followed by current DGGS standards. Keywords Discrete Global Grid • OGC Standard • Digital Earth 2.1 Introduction Digital Earth is a framework for geospatial data management. In this model, data are assigned to locations on a 3D model of the Earth and analyzed at multiple resolutions, each representing data at a specific level of detail. To locate and retrieve data sets associated with the Earth, mechanisms are needed for data representation, region addressing, and the assignment and retrieval of data for a region of interest. Digital Earth provides a reference model that can handle all of these queries.

show abstract

“…Although tetrahedrons may cause noticeable angular and areal distortions in their approximations of the Earth, they remained a popular choice due to their simplicity [13] (see Figure 2a). Octahedrons are also very popular in representing the Earth, since their faces can be associated with spherical octants when their singular vertices can be placed at the poles [14][15][16] (see Figure 2c). Dodecahedrons have also been used (see Figure 2e).…”

Section: Polyhedronmentioning

confidence: 99%

Categorization and Conversions for Indexing Methods of Discrete Global Grid Systems

Amiri

Samavati

Peterson

2015

IJGI

View full text Add to dashboard Cite

Digital Earth frameworks provide a tool to receive, send and interact with large location-based datasets, organized usually according to Discrete Global Grid Systems (DGGS). In DGGS, an indexing method is used to assign a unique index to each cell of a global grid, and the datasets corresponding to these cells are retrieved or allocated using this unique index. There exist many methods to index cells of DGGS. Toward facility, interoperability and also defining a "standard" for DGGS, a conversion is needed to translate a dataset from one DGGS to another. In this paper, we first propose a categorization of indexing methods of DGGS and then define a general conversion method from one indexing to another. Several examples are presented to describe the method.

show abstract

A spatial indexing method for the hexagon discrete global grid system

Cited by 12 publications

References 4 publications

Micro diagrams: visualization of categorical point data from location-based social media

Micro diagrams: visualization of categorical point data from location-based social media

Digital Earth Platforms

Categorization and Conversions for Indexing Methods of Discrete Global Grid Systems

Contact Info

Product

Resources

About