Abstract
In the process of global information construction, different fields have built their own discrete global grid systems (DGGS). With the development of big data technology, data exchange, integration, and update have gradually become a trend, as well as the associative integration of different DGGS. Due to the heterogeneity of DGGS and the different encoding rules, how to build the encoding conversion rules and data mapping relationship between the same object in various DGGS is an effective support and key technology to achieve the interoperability of DGGS. As a kind of multipurpose DGGS, the quaternary triangular mesh (QTM) has become an effective spatial framework for constructing the digital earth because of its simple structure. At present, there are many schemes for QTM encoding research, which plays a key role in the development of QTM, but at the same time, it also leads to difficulties in the communication and integration of QTM under different encoding. In order to solve this problem, we explore the characteristics of QTM encoding, and put forward three conversion algorithms: resampling conversion algorithm, hierarchical conversion algorithm, and row–column conversion algorithm.
Highlights
A Discrete global grid system (DGGS) is a suitable grid system for representing the Earth, and it can indefinitely subdivide a sphere without changing its grid shape
Quaternary triangular mesh (QTM) is a DGGS based on an inscribed regular octahedron [7]
D() = {[D()]i |i∈N}, where D is the set of encodings, is the category of quaternary triangular mesh (QTM) encodings, and N is the total number of tcheellstointalthneugmribderinotfhceelsltsuidnytahreeag,risducinh athseDs(tLuSd)yisaerxeap,resusscehdaassDa(cLoSl)leicstieoxnpressed a of LS encodingsc.ollection of LS encodings
Summary
A Discrete global grid system (DGGS) is a suitable grid system for representing the Earth, and it can indefinitely subdivide a sphere without changing its grid shape. A DGGS is characterized by discrete hierarchy and global continuity. It is not limited by the type of map projection. A DGGS can fundamentally solve problems inherent in planar map projections, such as such as data discontinuities, geometric deformation, scale transformations, and topological inconsistency when handling global spatiotemporal data [5,6]. Quaternary triangular mesh (QTM) is a DGGS based on an inscribed regular octahedron [7]. It has the characteristics of hierarchical organization and continuous sorting [8], and it conforms to spherical characteristics. According to the encoding principle, they can be divided into three types: hierarchical encoding, integer coordinate encoding, and filling curve encoding
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