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非空间数据的英文

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"非空间数据"怎么读用"非空间数据"造句

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  • aspatial data

例句与用法

  • 054 these applications all store , retrieve , update , or query some collection of features that have both nonspatial and spatial attributes
    上述两种系统都需要同时对空间数据及非空间数据进行存储,查询,及更新。
  • Rough set theory is applied in spatial data classification , and during classification spatial and non - spatial data are processed by rough set theory simultaneously
    本文将rough集理论应用在空间数据分类中,在分类时使用rough集理论同时处理空间和非空间数据
  • Proposes a uniform graph - base model for representation to spatial and non - spatial data and also including spatial relations ( topological , orientation and distance )
    在此基础上,提出一种空间数据、非空间数据及空间关系(拓扑、距离、方向关系)的统一化图形表示模型。
  • Sadbs ii can manage spatial and non - spatial data efficiently , has powerful spatial analysis capability , and can keep the whole system self - contained and consistent
    该系统能够有效地管理空间数据和非空间数据,具有强大的空间分析能力,同时还能够保证系统的完备性和一致性。
  • Spatial data mining ( sdm ) refers to picking up interesting rules from spatial database , such as spatial patterns and characteristics , the universal relations of spatial and non - spatial data and other universal implicated in spatial data
    空间数据挖掘是指从空间数据库中提取用户感兴趣的空间模式与特征、空间与非空间数据的普遍关系及其它一些隐含在空间数据中的普遍的数据特征。
  • Research result shows that the object - oriented geographic spatial model has stronger representative ability , is easier understood and accepted ; using the concept of geometric data type unify the process method of attribute and spatial data , and simplify entity query and analyses . the topologic relations between entities , which are not been stored in explicit formulation in the model , can be achieved through collective operation of geometric object ' s hypergraph model . compared with traditional his , the query and analyses ability of which based on new model are stronger
    研究结果表明,面向对象的地理空间模型具有更强的表现能力,并且容易被理解和接受;采用几何数据类型的概念,可以使对非空间数据和空间数据的处理方法相统一,而且会使对实体的各种属性数据(包括空间属性)的查询和分析模型更加简单;对于面向对象模型中不显式表示的地理实体间的空间拓扑关系,可以利用实体的几何对象的超图模型间的集合运算来求得;基于面向对象地理空间模型的实体查询和分析,也比基于传统gis数据库查询和分析具有强得多的功能。
  • Secondly , apart from the spatial character , the operational data of sea area use management are characterized by multi - source , multiple scale , and coordinate , complex type and large quantity , etc , so this paper has laid emphasis on studying the spatial data model and the data framework related to the management of sea area use , solved a series of key technical problems such as check and correction , organization and structrue , quality management and standard norms for the geographical sapce data associated with the management of sea area use , proposed various practical and effective ways of storing and managing spatial and non - spatial data and established the spatial data base system for the management of sea area use
    其次,由于海域使用管理业务数据除空间特性外,还具有多源、多尺度、多坐标、类型复杂、数据量大等特征,因此,本文重点研究了与海域使用管理相关的空间数据模型与数据框架,解决了海域使用管理相关地理空间数据的复合与订正、组织与结构、质量管理与标准规范等一系列关键技术问题,并提出了切实有效的空间数据和非空间数据的不同的存储、管理方式,建立了海域使用管理空间数据库系统。
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