论文部分内容阅读
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。
Small forest resources is the basic unit of investigation, statistics, management and management of forest resources. By studying the forms of its changes and the factors influencing the changes, the results obtained can be applied to the entire spatial data of forest resources. Based on the spatial and attribute changes of small classes, this paper summarizes the changes into eight basic types of changes. To solve the problem of low query rate of traditional ground state correction model, the dynamic multi-level index method is used to improve the model. At the same time, object-oriented method is used to describe spatio-temporal information of small-class spatial data update, The modified Extended Spatial-Temporal Data Model (VBMBSEA-STDM) greatly improves the accuracy and update rate of the second-type survey data and is more conducive to historical query and analysis. On the basis of the study, we analyzed the data of small-scale surveys in 1999 and 2009 in Liangshui Experimental Farm through GIS, got the concrete changes of small-scale data, constructed the spatio-temporal model of spatial data of forest resources, and compared and retrospected the history.