云南元江地区铜矿GIS预测时的找矿有利度和空间相关性分析

以云南元江地区铜矿ＧＩＳ预测为例,介绍了线型异常和面型异常的找矿有利度分析方法,并给出断裂、物化探异常和地层找矿有利度分析的结果．给出了计算空间相关性的公式,并研究了不同元素化探异常的空间相关性．研究了相关元素的组合异常,论证了在矿产资源预测中应用组合异常的必要性．     

一种面向WFS服务的分布式空间连接查询优化策略

研究了一般分布式环境下空间连接查询的优化策略,针对OGC的WFS服务规范的特点,提出了一种基于递归区域划分的WFS服务空间连接查询优化策略。实验结果表明,当查询区域范围内包含的数据量越大时,该策略越能有效地降低查询需要的网络数据传输费用,缩短查询执行时间。     

GIS空间数据不确定性与质量控制的研究现状

GIS空间数据不确定性和质量控制的研究是GIS基础理论问题研究中的一个重要内容。文中具体介绍了对该问题研究的几个阶段，对目前这一理论问题的研究现状作了简要介绍，并对GIS数据质量控制的策略提出一些看法。     

基于虚拟SAN的网格GIS数据存储技术研究

针对空间数据存储的特点,结合网格和虚拟SAN技术的优势,提出了基于虚拟SAN的网格GIS数据存储解决方案,旨在解决网格GIS环境下的数据存储问题。     

北秦岭华阳川地区重磁三维反演及岩浆岩特征研究

华山岩体、老牛山杂岩体等中酸性花岗岩体和华阳川韧性剪切带在北秦岭华阳川地区的成矿过程中起着重要的作用,既是构造演化的记录,又是构造—岩浆—成矿的重要指示。本文在系统研究华阳川地区地面和航空重力、磁测数据以及地面电法剖面等多种地球物理资料的基础上,完成物性统计分析、航空和地面数据融合处理,通过先验信息约束的重磁2.5D交互式反演和三维反演计算,构建了华阳川地区区域三维地质—地球物理模型,为区域地质背景和深部地质构造的研究提供地球物理依据;推断解释了华山岩体、老牛山岩体和华阳川韧性剪切带的三维形态和空间分布,探讨了华阳川韧性剪切带、老牛山岩体和华山岩体的深部接触关系,对大岩体外围接触带的铀、钼等矿床的深部找矿具有一定指导意义。     

Big spatial data for urban and environmental sustainability

ABSTRACT

Eighty percent of big data are associated with spatial information, and thus are Big Spatial Data (BSD). BSD provides new and great opportunities to rework problems in urban and environmental sustainability with advanced BSD analytics. To fully leverage the advantages of BSD, it is integrated with conventional data (e.g. remote sensing images) and improved methods are developed. This paper introduces four case studies: (1) Detection of polycentric urban structures; (2) Evaluation of urban vibrancy; (3) Estimation of population exposure to PM2.5; and (4) Urban land-use classification via deep learning. The results provide evidence that integrated methods can harness the advantages of both traditional data and BSD. Meanwhile, they can also improve the effectiveness of big data itself. Finally, this study makes three key recommendations for the development of BSD with regards to data fusion, data and predicting analytics, and theoretical modeling.     

基于土地适宜性评价与元胞自动机模型的城市开发边界划定方法

城市开发边界的划定可以在一定程度上引导城市空间的良性扩张。为了研究边界划定的方法,以我国某港口城市作为研究区域,在空间增长模拟的方向进行探索。研究中借助土地适宜性评价和元胞自动机边界工具,构建既符合生态资源环境要求又符合城市发展需要的边界划定,同时,为了实现城市用地健康和动态管控举措,提出了建立健全土地用地管理机制的要求。     

The Portuguese maritime spatial plan

Numerous national governments and supranational organizations such as the OSPAR Commission, the European Union and the United Nations Educational, Scientific and Cultural Organization (UNESCO) have underlined the importance of maritime spatial planning (MSP) for balancing and solving conflicts between the needs of different sectors and conservation in the marine space. In the last decade, many maritime spatial plans have been developed around the world. The drivers to develop these plans and the approaches to find solutions for the particular problems differ significantly. The Portuguese national marine jurisdiction is one of the largest in Europe. For the continental part, a maritime spatial plan was initiated in 2009, and entered in 2010 in the final stage of approval. One of the driving forces for this MSP initiative was the claim to extend its continental shelf. The development process was led by a multidisciplinary team. Despite the challenges, the existing as well as potential future marine resources and activities were characterized, mapped and categorized. To overcome conflicts resulting from the many overlapping uses and to assure sustainable development of all sectors, a conflict analysis and evaluation of potential future uses were necessary. The applied zoning scheme represented an exercise of conflict solving and proved to be a powerful tool to promote discussion and participation among stakeholders. The successful implementation of Portuguese MSP will rely largely on its ability to provide efficient management, financial and legal mechanisms to achieve the integration of all strategies and spaces under the Portuguese maritime jurisdiction.     

分形理论在空间网络分布特征研究中的应用

探讨了以图论为基础的空间网络的测度方法,以及以分形理论为基础的表达空间网络分布特征的几种分维数,并阐述了各种分维数的地理意义,最后对于分维数的测算进行了评述.     

A tool for site prioritisation of marine protected areas under data poor conditions

A challenge of managing data poor fisheries lies in overcoming uncertainties associated with a lack of information on biological and socio-economic conditions. This paper focuses on site prioritisation for marine protected areas, a process that usually imposes moderate to heavy demands on data, time, local expertise, and funds. A fuzzy logic decision support tool for zoning marine areas that is suitable for use in data poor conditions is developed. This tool, the Protected Area Suitability Index (PASI), assesses the suitability of sites for protection based on fishers’ preferences for that site and the site’s conservation value. Only eight input attributes are required to run the PASI, which operates on a series of heuristic rules to estimate a site suitability score that ranges from 0 to 10, where 10 indicates that a site is highly suitable for being protected from fishing. Sensitivity analysis reveals that the PASI is relatively robust, and produces reliable results even as the system is degraded by the loss of data. Eighteen actively fished sites and 11 sites that are closed to fishing are assessed to evaluate how well the PASI is able to distinguish differences between sites. The estimated scores are significantly different (p<0.05), whereby non-fished sites are scored as being more suitable for protection than fished sites. The PASI can be used as a decision support tool to facilitate systematic marine spatial management under data poor conditions, especially in the task of identifying suitable sites for protection.