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111.
Abstract The accumulation of geological information in digital form, due to modern exploration methods, has introduced the possibility of applying geographical information system technology to the field of geology. To achieve the benefits in information management and in data analysis and interpretation, however, it will be necessary to develop spatial models and associated data structures which are specifically designed for working in three dimensions. Some progress in this direction has already been demonstrated, with the application of octree spatial subdivision techniques to the storage of uniform volume elements representing mineral properties. By imposing octree tessellations on more precisely-defined geometric data, such as triangulated surfaces and polygon line segments, it may now be possible to combine efficient spatial addressing with topologically-coded boundary representations of geological strata. The development of storage schemes capable of representing such geological boundary models at different scales poses a particular problem, a possible solution to which may be by means of hierarchical classification of the vertices of triangulated surfaces according to shape contribution. 相似文献
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《International Journal of Digital Earth》2013,6(3):259-278
Abstract This paper introduces a new concept, distributed geospatial information processing (DGIP), which refers to the process of geospatial information residing on computers geographically dispersed and connected through computer networks, and the contribution of DGIP to Digital Earth (DE). The DGIP plays a critical role in integrating the widely distributed geospatial resources to support the DE envisioned to utilise a wide variety of information. This paper addresses this role from three different aspects: 1) sharing Earth data, information, and services through geospatial interoperability supported by standardisation of contents and interfaces; 2) sharing computing and software resources through a GeoCyberinfrastructure supported by DGIP middleware; and 3) sharing knowledge within and across domains through ontology and semantic searches. Observing the long-term process for the research and development of an operational DE, we discuss and expect some practical contributions of the DGIP to the DE. 相似文献
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Robert Andrle 《自然地理学》2013,34(3):270-281
The traditional measure of river-channel sinuosity, P, is shown to vary with scale of measurement, the geometric character of the particular reach, and the starting point of the divider walk. Meander wavelength, L, suffers from non-reproducibility caused by the subjective identification of inflection points, a problem compounded by the irregularity of river meanders. Applicability of the angle measure technique (AMT) to the measurement of meander planform is demonstrated. The AMT considers variations in the complexity of meandering with scale, eliminating the dependence of results on scale of measurement. The AMT also samples the river at random points rather than sequentially, unlike the divider walk used to calculate P, avoiding the dependence of P on the starting position of the divider walk. The AMT also does not require subjective identification of inflection points as wavelength L does. Additionally, the traditional measures P and L are difficult to apply to manifestly underfit rivers. In this study, the AMT is applied to two underfit rivers and measures of meander size and sinuosity are calculated for each set of meanders. [Key words: sinuosity, meanders, wavelength, underfit river, fluvial geomorphology.] 相似文献
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针对分布式环境下区域分片片段间的各种原始缝隙,提出一种3RM(Three Relational Matrix)缝隙处理模型。该模型采用两阶段流程,第1步划分空间计算单元,对区域分片边界处的要素进行聚类分组;第2步对各个空间计算单元进行缝隙处理。模型研究区域分片边界处缝隙的描述和区分方法,依据要素拓扑关系、属性关系以及精度3种关系建立了3RM缝隙处理矩阵,发现线状和面状要素在分片数据边界处的38种潜在的缝隙,并建立了相应的缝隙处理方法。运用3RM模型对异构的土地利用分片数据进行缝隙处理试验,试验结果表明,本文提出的缝隙处理模型能够有效处理实际分片数据当中的各种缝隙。 相似文献
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Extraction of buildings from LIDAR data has been an active research field in recent years. A scheme for building detection and reconstruction from LIDAR data is presented with an object-oriented method which is based on the buildings' semantic rules. Two key steps are discussed: how to group the discrete LIDAR points into single objects and how to establish the buildings' semantic rules. In the end, the buildings are reconstructed in 3D form and three common parametric building models (flat, gabled, hipped) are implemented. 相似文献
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Data refinement refers to the processes by which a dataset’s resolution, in particular, the spatial one, is refined, and is thus synonymous to spatial downscaling. Spatial resolution indicates measurement scale and can be seen as an index for regular data support. As a type of change of scale, data refinement is useful for many scenarios where spatial scales of existing data, desired analyses, or specific applications need to be made commensurate and refined. As spatial data are related to certain data support, they can be conceived of as support-specific realizations of random fields, suggesting that multivariate geostatistics should be explored for refining datasets from their coarser-resolution versions to the finer-resolution ones. In this paper, geostatistical methods for downscaling are described, and were implemented using GTOPO30 data and sampled Shuttle Radar Topography Mission data at a site in northwest China, with the latter’s majority grid cells used as surrogate reference data. It was found that proper structural modeling is important for achieving increased accuracy in data refinement; here, structural modeling can be done through proper decomposition of elevation fields into trends and residuals and thereafter. It was confirmed that effects of semantic differences on data refinement can be reduced through properly estimating and incorporating biases in local means. 相似文献