测绘学报

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基于序列“状态”的林业资源时空数据模型研究

夏凯1,2,刘南3,刘仁义1,谢炯4,张丰5   

  1. 1. 浙江大学
    2. 浙江农林大学
    3. 浙江大学 浙江省资源与环境重点实验室
    4. 中国科学院地理科学与资源研究所
    5. 浙江大学 浙江省资源与环境重点实验室;浙江大学地理信息科学研究所
  • 收稿日期:2012-03-01 修回日期:2012-11-07 发布日期:2019-01-01
  • 通讯作者: 夏凯

Research of Foresty Spatio-Temporal Data Model Based on Sequence “States”

  • Received:2012-03-01 Revised:2012-11-07 Published:2019-01-01

摘要: 林业信息领域中目前尚缺乏合适的时空数据模型管理动态数据。本文通过对林业地理实体时空演变过程的分析,指出林业地理实体的演变总体上是渐变和突变交替发生的时空过程,而且各专题属性和空间分布的演变类型并不相同,演变频率也不同。在此基础上,本文提出一种新的以序列快照方式和事件方式组合的“序列状态”时空表达模式,以“状态”集表达时空对象在生命周期内的演化历程,并针对林业数据的特点,采用面向对象的数据组织方式设计林业资源时空数据模型。模型可对不同演变类型进行组合,并实现对渐变和突变的统一表达。另外,模型允许采用不确定数据以加强对渐变过程的表达。本文通过原型系统验证了模型的可行性。

关键词: 时空数据模型, 序列状态, 林业, 事件, 序列快照

Abstract: There have no suitable spatio-temporal data model to manage dynamic data in forestry information field so far. This paper pointed out that the evolution of forestry geographic entity generally is a temporal and spatial process in which gradual change and abrupt change happen alternately. Furthermore, the type and frequency of evolution of spatial distribution and attributes in forestry geographic entity are not the same. The paper put forward a new spatio-temporal expression named Sequence “States” which is composed by the modes of snapshots and events. On that basis, a object-oriented forestry spatio-temporal data model developed according to the characteristic of forestry data. Different types of evolutions could be expressed by this model as well as Different types of changes. Moreover, uncertain Data is adoped in the model to Strengthen expression to the course of grandual change. This paper verified the feasibility of the model by a prototype system.

Key words: spatio-temporal data model, sequence states, forestry, events, snapshots

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