电子影像地图的技术研究

本文概述了电子影像地图的概念及其与地理信息系统的关系,详细介绍了电子影像地图的技术和实现方法.在上述理论基础上,本文研制了上海市电子影像地图,在研制过程中解决了数据安全性的问题、大数据量的存储、传送问题等等.论文依据面向对象的设计原理和编程方法,用Visual C 开发了用户的浏览查询界面,为普通用户提供了一个快速的查询浏览平台.     

土地利用更新调查成果内外业一致性检查方法的分析与探讨

土地利用更新调查内外业数据保持一致是确保成果质量的重要环节。本文以福建省开展土地利用更新调查情况为背景,介绍了土地利用更新调查成果内外业一致性检查的方法和过程,分析了不同情况下成果检查的特点,对从事该领域生产和研究的专业人员有一定的借鉴和指导作用。     

一种面向应用的非平面路网数据模型及其实现

已有的路网数据模型有平面模型和非平面模型两类,但它们都没能完全表达空间路网的真实结构。将平面路网数据模型与节点高差以及方向车道结合,提出一种基于非平面的路网数据模型,用以表达实际的非平面路网。同时探讨了基于该模型的一种实现方式,并在广州市智能交通管理指挥系统中得到初步应用。     

吉林省松原市国土资源电子政务建设

本文以松原市国土资源局"以国土资源电子政务建设省级试点项目"为实例,分析了项目的总体目标和设计,详细地阐述了所采用的关键技术,具体地论述了数据中心和三大平台的建设,概述了项目建设的保障措施,并就今后的工作重点作了进一步的说明。     

基于Symantec Backup Exec实现的湖北国土资源数据中心备份系统

本文深入探讨了有关数据备份中离线数据存储、备份策略规划、ORACLE数据库备份特性等技术专题,同时较详细地介绍了Symantec Backup Exec备份软件的服务组件和工作原理,并基于该软件介绍了如何构建湖北国土资源数据中心备份系统的具体实现过程。     

Analysis of dependence of decision quality on data quality

GIS professionals seem to assume that better data lead to better decisions, but how does one decide when better data lead to a better decision? An analysis to determine the effects of data quality on the quality of decisions provides criteria whether to invest in data quality improvement. This article analyzes data quality and how it influences the quality of a decision. It uses an example of an environmental engineering decision to demonstrate a general method to assess the influence of data quality on the decision. It shows that the uncertainty in aspects, which are poorly known, e.g., the necessary security levels, dominate the uncertainty of many decisions. Efforts to collect more or better data to improve the data quality of those stored in a GIS would not reduce uncertainty in the decision significantly. This result seems to be consistent with results from other studies for this very large class of decisions. The article gives a general method to assess whether collecting better data improves a decision or not.     

Multiple-Point Simulations Constrained by Continuous Auxiliary Data

An important issue of using the multiple-point (MP) statistical approach for reservoir modeling concerns the integration of auxiliary constraints derived, for instance, from seismic information. There exist two methods in the literature for these non-stationary MP simulations. One is based on an analytical approximation (the “τ-model”) of the conditional probabilities that involve auxiliary data. The degree of approximation with this method depends on the parameter τ, whose inference is difficult in practice. The other method is based on the inference of these conditional probabilities directly from training images. This method classifies the auxiliary data into a few classes. This classification is in general arbitrary and therefore inconvenient in practice, especially in the case of continuous auxiliary constraints. In this paper, we propose an alternative method for performing non-stationary MP simulations. This method accounts for the data support in the modeling procedure and allows, in particular, continuous auxiliary data to be integrated into MP simulations. This method avoids the major limitations of the previous methods, namely the use of an approximate analytical model and the reduction of the auxiliary data into a limited number of classes. This method can be easily implemented in the existing MP simulation codes. Numerical tests show good performance of this method both in reproducing the geometrical features of the training image and in honouring the auxiliary data.     

Fast FILTERSIM Simulation with Score-based Distance

FILTERSIM is a pattern-based multiple-point geostatistical algorithm for modeling both continuous and categorical variables. It first groups all the patterns from a training image into a set of pattern classes using their filter scores. At each simulation location, FILTERSIM identifies the training pattern class closest to the local conditioning data event, then samples a training pattern from that prototype class and pastes it onto the simulation grid. In the original FILTERSIM algorithm, the selection of the closest pattern class is based on the pixel-wise distance between the prototype of each training pattern class and the local conditioning data event. Hence, FILTERSIM is computationally intensive for 3D simulations, especially with a large and pattern-rich training image. In this paper, a novel approach is proposed to accelerate the simulation process by replacing that pixel-wise distance calculation with a filter score comparison, which is the difference between the filter score of local conditioning data event and that of each pattern prototype. This score-based distance calculation significantly reduces the CPU consumption due to the tremendous data dimension reduction. The results show that this new score based-distance calculation can speed up FILTERSIM simulation by a factor up to 10 in 3D applications.     

Integrating algebraic multigrid method in spatial aggregation of massive trajectory data

The advanced technologies in location-based services and telecom have yield large volumes of trajectory data. Understanding these data effectively requires intuitive yet accurate visual analysis. The visual analysis of massive trajectory data is challenged by the numerous interactions among different locations, which cause massive clutter. This paper presents a new methodology for visual analysis by integrating algebraic multigrid (AMG) method in data aggregation. The non-parametric method helps to build a multi-layer node representation from a graph which is extracted from trajectory data. The comparison with AMG and other methods shows that AMG method is more advanced in both the spatial representation and the importance of nodes. The new method is tested with real-world dataset of cell-phone signalling records in Beijing. The results show that our method is suitable for processing and creating abstraction of massive trajectory dataset, revealing inherent patterns and creating intuitive and vivid flow maps.     

科学数据共享实践：以国家地球系统科学数据中心为例

地球系统科学是一门综合性交叉学科,起源于全球变化研究,受益于遥感技术进步,现已进入大数据时代,人工智能技术成为解决地球系统科学前沿问题的新手段。科学数据共享是推动科学发展、提升数据价值的关键,经过长期的探索和实践,全球已形成完善的数据资源管理政策与机制、持续的数据共享服务体系、多元化的科学数据整合模式,并且新的理念不断推动数据共享创新发展,其中“可发现、可访问、可互操作和可重用”原则和数据出版备受推崇。我国颁布了国家层面的政策法规,着重推动国家级科学数据中心建设、科技项目数据资源汇交及数据出版。借鉴国外数据共享经验,结合国内实际发展情况,我国探索出具有中国特色的地球系统科学数据资源分类体系,在元数据、分布式互操作、大数据分析和共享服务等关键技术方面都取得了重大突破。本文以国家地球系统科学数据中心为例,系统梳理了国内地球系统科学领域的数据共享实践进展,详细介绍了国家在地球系统科学领域的数据共享实践及其成效。国家地球系统科学数据共享工作已探索形成成熟稳定的运行服务机制、研制出适用于多源分散地球系统科学数据的标准体系、 建成多学科多时空尺度的地球系统科学数据库群、自主研发海量异构数据共享网络技术体系与服务系统,促进了地球系统科学的科学发展,同时也推动了数据共享理念的传播与推广。然而,数据孤岛现象、共享服务系统标准化程度低、系统技术标准未对接国际规范等问题仍然较为突出,阻碍了地球系统科学数据开放与共享。未来,随着共享个性化需求被激活,定制化的“数据+知识”服务有望成为主流趋势,将给数据共享带来新的机遇和挑战。