Using Topological Relationships to Inform a Data Integration Process

When spatial datasets are overlaid, corresponding features do not always coincide. This may be a result of the datasets having differing quality characteristics, being captured at different scales or perhaps being in different projections or datums. Data integration methods have been developed to bring such datasets into alignment. Although these methods attempt to maintain topological relationships within each dataset, spatial relationships between features in different datasets are generally not considered. The preservation of inter‐dataset topology is a research area of considerable current interest. This research addresses the preservation of topology within a data integration process. It describes the functional models established to represent a number of spatial relationships as observation equations. These are used to provide additional information concerning the relative positions of features. Since many topological relationships are best modelled as inequalities, an algorithm is developed to accommodate such relationships. The method, based on least squares with inequalities (LSI), is tested on simulated and real datasets. Results are presented to illustrate the optimal positioning solutions determined using all of the available information. In addition, updated quality parameters are provided at the level of the individual coordinate, enabling communication of local variation in the resultant quality of the integrated datasets.     

Modelling Positional Uncertainty of Line Features by Accounting for Stochastic Deviations from Straight Line Segments

The assessment of positional uncertainty in line and area features is often based on uncertainty in the coordinates of their elementary vertices which are assumed to be connected by straight lines. Such an approach disregards uncertainty caused by sampling and approximation of a curvilinear feature by a sequence of straight line segments. In this article, a method is proposed that also allows for the latter type of uncertainty by modelling random rectangular deviations from the conventional straight line segments. Using the model on a dense network of sub‐vertices, the contribution of uncertainty due to approximation is emphasised; the sampling effect can be assessed by applying it on a small set of randomly inserted sub‐vertices. A case study demonstrates a feasible way of parameterisation based on assumptions of joint normal distributions for positional errors of the vertices and the rectangular deviations and a uniform distribution of missed sub‐vertices along line segments. Depending on the magnitudes of the different sources of uncertainty, not accounting for potential deviations from straight line segments may drastically underestimate the positional uncertainty of line features.     

曲流点坝内部剩余油形成与分布规律物理模拟

建立了曲流点坝物理模型,模拟地下曲流点坝储层进行驱替实验。观察注入剂的运动规律,同时,在模型上布置了测量电极,以双电极法测量驱替过程中垂向电阻变化,反映注入剂波及高度的变化规律。分析了侧积泥岩夹层的建筑结构对注入剂在点坝砂体中的流动规律,以及对剩余油的形成分布的影响。通过实验研究证实,在曲流点坝内部,侧积泥岩夹层对注入剂具有强烈的遮挡作用,受其影响形成侧积体差异型剩余油、重力型剩余油以及压力异常型剩余油三种类型剩余油,主要分布在点坝的中上部。在实际生产中,利用水平井钻遇点坝上部进行开采是主要的手段。     

土地更新调查成果与二次调查数据衔接问题的探讨

结合广西第二次土地调查工作实际,论述了在调查工作中对原土地更新调查成果的利用,对需补充、完善的调查内容逐一进行了分析和阐述,并对如何处理两次调查数据衔接中存在的问题提出了一些建议和看法。     

高程控制测量中的混合构网法

针对目前常规水准测量在山区公路高程控制测量中的局限性,本文提出了一种三角高程与常规水准测量相结合的混合构网方法,并通过实例得出,这种方法充分利用了两者的优势,在保证成果的可靠性和精度的同时,大大提高了工作效率,缩短了生产周期。     

基于Flash技术的综合电子地图集制作技术

重点介绍了基于Flash平台制作多媒体综合电子地图集的开发集成方法以及具体功能的实现。     

数字测图技术在阜新市地理数据库更新中的应用

采用GPS和全站仪联合作业的数字测图方式进行了外业快速数据采集。并利用南方CASS软件对数据进行内业成图工作,最后利用大型的地理信息系统软件ArcGIS进行地理数据的入库,从而实现了阜新市区地理数据库的更新,此方式具有速度快、效率高和精度高等优点,可以借鉴到同类的地区。     

安徽省空间地理信息基础数据库示范工程研发

从工程组成及实现、关键技术及解决方法等方面,介绍和讨论已完成的“安徽省空间地理信息基础数据库示范工程”项目。示范库的建设工作达到了预期的目的。     

关于MAPGIS与南方CASS的数据共享技术研究

多源数据格式之间的无损转换是目前不同GIS系统之间数据共享的一个重要问题。本文深入分析了MAPGIS图形格式和南方CASS标准格式的特点,通过开发独立的数据转换接口,实现了两种数据格式之间自动化和智能化转换,保证了数据的完整性和正确性,并以实例论述了数据转换实施的具体过程。