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An SDOG-based intrinsic method for three-dimensional modelling of large-scale spatial objects

机译：基于SDOG的内在方法用于大型空间物体的三维建模

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摘要

Three-dimensional (3D) modelling is a powerful tool for spatial representation and data analysis, and large scale is the common feature for spatial objects in Global Spatial Information System/Science (GSIS), especially in Earth System Science (ESS). It is important to develop a new 3D modelling method for large-scale spatial objects to meet the demands of global change and ESS researches. The projection-based methods, which have been applied for hundreds of years, are inadequate to perform large-scale spatial modelling, while the embedding methods are unnatural to represent the gravitational features of geo-objects, making the spatial modelling complex and the global data analysis hard. Although the current intrinsic methods are capable of dealing with large-scale spatial modelling, they have some defects such as shrinking, overlapping, non-latitude-longitude consistent, triangular prism-shaped or non-uniformly subdivided and lack of a unified representation model on geometric, topologic and attributive information integrally. Spheroid Degenerated-Octree Grid (SDOG), which takes the advantages of non-shrinking, quasi-uniform, non-overlapping, latitude-longitude consistent, hexahedron-shaped, uniformly subdivided, multi-resolution, is a preferable grid for developing an intrinsic method for the 3D modelling of large-scale spatial objects. This article employed SDOG to develop a new intrinsic method for large-scale 3D modelling. A triple representation model, T(OID, S, A), was proposed to conduct a unified representation on geometric, topologic and attributive information integrally. An algorithm of triples construction, as well as a two-table data structure, was developed to make the intrinsic method operable. A large-scale 3D modelling case, with SDOG-based intrinsic method, on the lithosphere of planet Earth in intrinsic space was illustrated. It shows that the SDOG-based intrinsic method is feasible to perform the 3D modelling of large-scale spatial objects, so as to support global visualization and ESS studies.View full textDownload full textKeywordslarge-scale spatial object, three-dimensional modelling, Spheroid Degenerated-Octree Grid, intrinsic space, Global Geographical Information SystemRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; var addthis_config = {"data_track_addressbar":true,"ui_click":true}; Add to shortlist Link Permalink http://dx.doi.org/10.1080/19475683.2012.727865
机译：三维（3D）建模是用于空间表示和数据分析的强大工具，而大规模是全球空间信息系统/科学（GSIS），尤其是地球系统科学（ESS）中空间对象的共同特征。为满足全球变化和ESS研究的需求，为大型空间物体开发一种新的3D建模方法非常重要。已经应用了数百年的基于投影的方法不足以执行大规模的空间建模，而嵌入方法却不自然地代表了地理对象的引力特征，这使得空间建模变得复杂且需要全局数据努力分析。尽管当前的内在方法能够处理大规模的空间建模，但它们仍存在一些缺陷，例如收缩，重叠，非经纬度一致，三角棱柱形或非均匀细分，以及缺乏统一的表示模型。完整的几何，拓扑和属性信息。球体退化八方网格（SDOG）具有非收缩，准均匀，不重叠，纬度-经度一致，六面体形，均匀细分，多分辨率的优点，是开发本征的首选网格大型空间对象的3D建模方法。本文使用SDOG来开发一种用于大规模3D建模的新内在方法。提出了三重表示模型T（OID，S，A），以对几何，拓扑和属性信息进行统一的表示。开发了三元组构造算法以及两表数据结构，以使内在方法可行。利用基于SDOG的内在方法，对行星在固有空间中的岩石圈进行了大规模的3D建模。研究表明，基于SDOG的内在方法对大型空间物体进行3D建模是可行的，以支持全局可视化和ESS研究。查看全文下载全文关键词大型空间物体，三维建模，球体退化-八角网格，内部空间，全球地理信息系统相关var addthis_config = {ui_cobrand：“泰勒和弗朗西斯在线”，service_compact：“ citeulike，netvibes，twitter，technorati，delicious，linkedin，facebook，stumbleupon，digg，google，更多”， pubid：“ ra-4dff56cd6bb1830b”}; var addthis_config = {“ data_track_addressbar”：true，“ ui_click”：true};添加到候选列表链接永久链接http://dx.doi.org/10.1080/19475683.2012.727865

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  • 来源
    《Annals of GIS》 |2012年第4期|267-278|共12页
  • 作者

    Jieqing Yu; Xiaojing Li;

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  • 入库时间 2022-08-18 00:59:44

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