地球信息科学学报
地毬信息科學學報
지구신식과학학보
GEO-INFORMATION SCIENCE
2013年
4期
518-526
,共9页
时态GIS%森林资源小班%空间数据库%VBMBSEA-STDM模型%版本控制
時態GIS%森林資源小班%空間數據庫%VBMBSEA-STDM模型%版本控製
시태GIS%삼림자원소반%공간수거고%VBMBSEA-STDM모형%판본공제
temporal-GIS%sub-compartments of forest resource%spatial database%VBMSEA-STDM%version control
森林资源小班是森林资源二类调查、统计和经营、管理的基本单位,通过研究其变化的形式和影响其变化的因素,得到的结果可以适用于整个森林资源空间数据。本文依据小班对象的空间变化和属性变化,将其变化归纳为8种基本变化类型。对传统基态修正模型查询速率低下的问题予以解决:使用动态多级索引的方法进行模型的改进,同时,用面向对象的方法对小班空间数据更新的时空信息进行描述,构建了基于版本的多基态修正扩展时空数据模型(VBMBSEA-STDM),很大程度上提高了二类调查数据的准确性和更新速率,更加有利于实现历史查询和分析。在研究的基础上,通过GIS分析凉水实验林场1999年和2009年小班调查数据,得出小班数据的具体变化形式,构建森林资源空间数据更新时空模型,实现历史比较和回溯。
森林資源小班是森林資源二類調查、統計和經營、管理的基本單位,通過研究其變化的形式和影響其變化的因素,得到的結果可以適用于整箇森林資源空間數據。本文依據小班對象的空間變化和屬性變化,將其變化歸納為8種基本變化類型。對傳統基態脩正模型查詢速率低下的問題予以解決:使用動態多級索引的方法進行模型的改進,同時,用麵嚮對象的方法對小班空間數據更新的時空信息進行描述,構建瞭基于版本的多基態脩正擴展時空數據模型(VBMBSEA-STDM),很大程度上提高瞭二類調查數據的準確性和更新速率,更加有利于實現歷史查詢和分析。在研究的基礎上,通過GIS分析涼水實驗林場1999年和2009年小班調查數據,得齣小班數據的具體變化形式,構建森林資源空間數據更新時空模型,實現歷史比較和迴溯。
삼림자원소반시삼림자원이류조사、통계화경영、관리적기본단위,통과연구기변화적형식화영향기변화적인소,득도적결과가이괄용우정개삼림자원공간수거。본문의거소반대상적공간변화화속성변화,장기변화귀납위8충기본변화류형。대전통기태수정모형사순속솔저하적문제여이해결:사용동태다급색인적방법진행모형적개진,동시,용면향대상적방법대소반공간수거경신적시공신식진행묘술,구건료기우판본적다기태수정확전시공수거모형(VBMBSEA-STDM),흔대정도상제고료이류조사수거적준학성화경신속솔,경가유리우실현역사사순화분석。재연구적기출상,통과GIS분석량수실험림장1999년화2009년소반조사수거,득출소반수거적구체변화형식,구건삼림자원공간수거경신시공모형,실현역사비교화회소。
Spatial data of forest resource is that related data which has characteristic of space geometry. It mainly comes from the forest resources survey, including the national forest resource continuous inventory and the local annual survey. It often lost information of time among the surveys. It causes difficult to achieve the characteris-tics of historical inquiry. Therefore, temporal-GIS was introduced in this paper. The sub-compartment is the ba-sic unit of forest resource investigation and management. Taking it as the main research object, as the same time, introducing the time factor, we have established a data update model based on temporal-GIS. The object of this model is to improve the update rate realize the historical query of forest resources spatial data. In this paper we have analyzed the changes of forest resources spatial data and has understood those changes are due to reasons such as natural growth of trees, disasters, legal and illegal human activities and the survey error. According to the variation of space and attribute, the variation type of sub-compartment is divided into eight basic ones. Through described temporal and spatial information of sub-compartment updating we have improved the traditional base-state with amendments by the way of dynamic classification indexes. At the same time, we have extended model through object-oriented and version management. On this basis, we structured a new spatio-temporal data model named version-based multi-base state extended spatio-temporal data model with amendments which is short for VBMBSEA-STDM. The article has a systematic description of model mainly about the three aspects:data structure of sub-compartment object, basic spatial operation of sub-compartment object and data storage of sub-compartment. According to the study, by analyzing the data of Liangshui experimental forest in 1999 and 2009, it reaches the specific changes form of sub-compartment data. It has constructed a spatio-temporal data up-date model of forest resource to realize the historical comparison and backtracking.