本文選題：森林資源 + 小班��； 參考：《浙江大學》2014年博士論文

【摘要】：小班(Subcompartment)是森林資源監(jiān)測和統(tǒng)計的基本單位,是森林資源信息的負載體。在信息技術迅猛發(fā)展的今天,小班數(shù)據(jù)的采集、管理和更新受到很大重視,但由于這些工作受到很多因素的影響,如對小班時空過程的認識、森林資源調查和監(jiān)測體系的完善,信息技術的使用等,目前還有許多不完善的地方。在實際工作中,林業(yè)部門以統(tǒng)計工作為重,小班圖形數(shù)據(jù)得不到有效維護,與現(xiàn)實差距大,各期數(shù)據(jù)之間缺乏關聯(lián),數(shù)據(jù)價值沒有被充分體現(xiàn)。 時空數(shù)據(jù)庫已在地籍管理、土地利用管理等多個領域得到研究和應用,其研究范疇包括時空數(shù)據(jù)建模、時空數(shù)據(jù)更新、時空索引等。本論文引入時空數(shù)據(jù)庫理論與技術來管理森林小班數(shù)據(jù),目的是將小班數(shù)據(jù)的采集、管理、更新、可視化等工作加以整合,實現(xiàn)對森林資源時空過程的有效表達。 本論文在深入研究森林資源調查和監(jiān)測工作的基礎上,分析了小班地理實體的時空演變,認為小班時空過程是漸變和突變相交替的時空過程。論文設計了序列狀態(tài)時空數(shù)據(jù)表達方法,該方法通過序列快照方法和事件方法的組合來表達漸變和突變相交替的時空過程,并基于這個方法設計了森林資源時空數(shù)據(jù)模型。該模型以小班、小班狀態(tài)、細班狀態(tài)三種對象的序列組合來表達小班地理實體的時空過程。 在森林資源時空數(shù)據(jù)模型研究的基礎上,論文提出了多源時空數(shù)據(jù)動態(tài)更新框架的思想�？蚣馨ㄉ中“嗟臅r空過程、時空數(shù)據(jù)模型、時空數(shù)據(jù)庫、數(shù)據(jù)采集和更新機構等五個部分,更新機構依據(jù)時空一致性規(guī)則進行數(shù)據(jù)庫更新,而時空一致性規(guī)則又以時空數(shù)據(jù)模型的完整性約束為基礎。論文深入分析了當前存在的數(shù)據(jù)源以及相互之間的關系,并討論了更新機構的組成、時空一致性規(guī)則和更新流程。 森林資源時空數(shù)據(jù)庫的數(shù)據(jù)序列本身就是對小班時空演變最好的表達,但用戶通常只需要查詢小范圍的時空序列。論文通過事件表、實體關聯(lián)表、時間索引表實現(xiàn)不同方式的數(shù)據(jù)關聯(lián)和索引,可以方便地實現(xiàn)特定歷史時刻再現(xiàn)和對象歷史回溯等時空數(shù)據(jù)的檢索功能。 時空表達必須通過可視化傳遞給用戶,本論文設計了三種可視化方法來表達小班地理實體的演變。第一種是歷史樹方法,以不同深度的樹節(jié)點記錄小班的歷史對象及其所有的專題屬性；第二種是面向矢量地物演變的時空立方體可視化方法,以x,y,t三維來表達地物的時空演變,并應用于小班狀態(tài)演變、多維屬性演變的可視化；論文也設計了小班演變的動態(tài)可視化表達。 論文最后通過森林資源管理原型系統(tǒng)及其時空數(shù)據(jù)庫的設計和實現(xiàn),檢驗了時空數(shù)據(jù)模型、數(shù)據(jù)更新框架、數(shù)據(jù)檢索和可視化表達等各項方法和技術。 信息技術和測繪技術在不斷發(fā)展,相應地,森林資源信息管理技術和方法的演進也不會停止。本論文對小班數(shù)據(jù)的建模、更新和表達作了比較全面的研究和闡述,為森林資源信息管理技術和方法的演進作了有價值的工作。
[Abstract]:Subcompartment is the basic unit of monitoring and statistics of forest resources and the load body of forest resource information. In today's rapid development of information technology, the collection, management and renewal of small class data have been paid great attention. However, these work has been influenced by many factors, such as the understanding of the time and space process in small classes, the investigation of forest resources and There are many imperfect places in the improvement of the monitoring system and the use of information technology. In the actual work, the forestry department takes the statistical work as the heavy, the small class graphic data can not be effectively maintained, the gap with the reality is large, the data of each period is lack of association, and the value of the data is not fully reflected.
Spatio-temporal database has been studied and applied in many fields, such as cadastral management, land use management, and so on. The research category includes spatio-temporal data modeling, spatio-temporal data updating, spatio-temporal index and so on. This paper introduces spatio-temporal database theory and technology to manage forest small class data. The purpose of this paper is to collect, manage, update and visualize small class data. Work is integrated to achieve effective expression of spatiotemporal processes of forest resources.
Based on the in-depth study of forest resources investigation and monitoring, the spatio-temporal evolution of small class geographic entities is analyzed. The spatio-temporal process of the small class spatio-temporal process is considered to be a spatio-temporal process of gradual change and abrupt mutation. This paper designs a spatio-temporal data expression method of sequence state, which is expressed by combination of sequence snapshot method and event method. Based on this method, the spatio-temporal data model of forest resources is designed based on this method, and the spatio-temporal process of the small class geographic entities is expressed in a small class, a small class state, and a fine class state of three objects.
Based on the study of spatio-temporal data model of forest resources, this paper proposes the idea of dynamic updating framework of multi source spatio-temporal data, which includes five parts, such as space-time process, spatio-temporal data model, spatio-temporal database, data collection and updating mechanism, and update the database on the basis of spatiotemporal consistency rules. The space consistency rule is based on the integrity constraints of spatiotemporal data model. The paper analyzes the existing data sources and the relationship between each other, and discusses the composition of the update mechanism, the time and space consistency rules and the updating process.
The data sequence of the spatio-temporal database of forest resources itself is the best expression for the evolution of the small class time and space, but the user usually only needs to query the small range of space-time sequence. The paper realizes the data association and index of different ways through the event table, the entity association table, the time index table, and can conveniently realize the reappearance and the object calendar of the specific historical time. History backtracking and other spatiotemporal data retrieval functions.
Spatio-temporal expression must be visualized to the user. This paper designs three visualization methods to express the evolution of small class geographic entities. The first is a history tree method, which records the historical objects of small classes with different depth of tree nodes and all the thematic attributes; the second is a spatio-temporal cube oriented to the evolution of vector objects. The spatio-temporal evolution of ground objects is expressed in X, y, and T, and it is applied to the evolution of small classes and the visualization of the evolution of multi-dimensional attributes; and the paper also designs the dynamic visual expression of the evolution of small classes.
Finally, through the design and implementation of the prototype system of forest resource management and its spatio-temporal database, the paper tests the methods and techniques of spatio-temporal data model, data updating framework, data retrieval and visualization expression.
Information technology and mapping technology are developing continuously. Accordingly, the evolution of forest resources information management technology and method will not stop. This paper makes a comprehensive research and exposition on the modeling, updating and expression of small class data, and has made valuable work for the evolution of forest resource information management technology and methods.
【學位授予單位】：浙江大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：S757.2;P208

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