基于RIA的WebGIS多媒体数据的存储与检索

针对传统WebGIS在多媒体数据存储与检索上存在的数据结构烦琐、检索效率低下等诸多问题,本文在阐述RIA技术的基础上,充分利用RIA客户端缓存机制,提出并实现了基于RIA的WebGIS多媒体数据的存储、检索以及离线操作模型。实验表明,该系统模型数据结构简明、清晰,检索效率较传统WebGIS有明显提高,同时也从很大程度上增强了客户端的用户体验感。     

Automatic search of geospatial features for disaster and emergency management

Although the fast development of OGC (Open Geospatial Consortium) WFS (Web Feature Service) technologies has undoubtedly improved the sharing and synchronization of feature-level geospatial information across diverse resources, literature shows that there are still apparent limitations in the current implementation of OGC WFSs. Currently, the implementation of OGC WFSs only emphasizes syntactic data interoperability via standard interfaces and cannot resolve semantic heterogeneity problems in geospatial data sharing. To help emergency responders and disaster managers find new ways of efficiently searching for needed geospatial information at the feature level, this paper aims to propose a framework for automatic search of geospatial features using Geospatial Semantic Web technologies and natural language interfaces. We focus on two major tasks: (1) intelligent geospatial feature retrieval using Geospatial Semantic Web technologies; (2) a natural language interface to a geospatial knowledge base and web feature services over the Semantic Web. Based on the proposed framework we implemented a prototype. Results show that it is practical to directly discover desirable geospatial features from multiple semantically heterogeneous sources using Geospatial Semantic Web technologies and natural language interfaces.     

Knowledge-based building reconstruction from terrestrial video sequences

The paper presents an automatic method for the reconstruction of building models from video image sequences. These videos may be recorded using a hand-held camera or a camera mounted on a moving car. Such terrestrial video sequences are economic and flexible. Presenting buildings as geometric models–rather than for instance a representation from a simple meshing of 3D points–enables one to perform a wide range of analyses. However, sparse 3D points and 3D edges do not contain topological relations. Therefore, integrating building structure knowledge into the reconstruction steps plays an important role in our method. First, some rules are applied to reasonably group the extracted features. Then, a suitable outline and normal direction are specified for each surface patch. Based on these surface patches, a hybrid model- and data-driven method is used to recover a building model from both the extracted surface patches and hypothesized parts. Using the building structure knowledge leads to a simple and fast reconstruction method, and also enables one to obtain the main structures of buildings. The results show that this method correctly sets up topological relationships between generated surface patches and also obtains reasonable structure models in occluded areas. Therefore, the reconstructed models satisfy requirements for both visualization and analysis.     

Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields

The Markov chain random field (MCRF) model is a spatial statistical approach for modeling categorical spatial variables in multiple dimensions. However, this approach tends to be computationally costly when dealing with large data sets because of its sequential simulation processes. Therefore, improving its computational efficiency is necessary in order to run this model on larger sizes of spatial data. In this study, we suggested four parallel computing solutions by using both central processing unit (CPU) and graphics processing unit (GPU) for executing the sequential simulation algorithm of the MCRF model, and compared them with the nonparallel computing solution on computation time spent for a land cover post-classification. The four parallel computing solutions are: (1) multicore processor parallel computing (MP), (2) parallel computing by GPU-accelerated nearest neighbor searching (GNNS), (3) MP with GPU-accelerated nearest neighbor searching (MP-GNNS), and (4) parallel computing by GPU-accelerated approximation and GPU-accelerated nearest neighbor searching (GA-GNNS). Experimental results indicated that all of the four parallel computing solutions are at least 1.8× faster than the nonparallel solution. Particularly, the GA-GNNS solution with 512 threads per block is around 83× faster than the nonparallel solution when conducting a land cover post-classification with a remotely sensed image of 1000?×?1000 pixels.     

城市旅游综合体土地利用空间格局演变及驱动机制——以西安曲江为例

判识城市旅游综合体用地格局的演变规律及驱动机制,对于优化城市功能结构和构建城市现代服务体系具有重要意义。本文以西安曲江城市旅游综合体为例,采用土地利用变化指数模型和GIS分析技术,探究其用地分异过程及机制。结果显示,曲江由农业生产和村居功能为主导的乡镇聚落,转变为以旅游功能为核心、多元用地形态圈层布局的城市旅游综合体过程中,其用地形态共经历了均质无序、极化–扩散和均衡集约三个阶段。而这一演化过程,实则是在土地差异化增值形成级差地租的条件下,多元用地主体理性选择的结果。文章认为,保证城市旅游综合体合理的发展用地、有序实现土地增值及发挥地价杠杆的调节作用,是实现城市旅游综合体土地集约利用和功能协同发展的根本前提。     

Hydrochemical characteristics and controlling factors of natural water in the border areas of the Qinghai-Tibet Plateau

Journal of Geographical Sciences - The special geography and human environment of the Qinghai-Tibet Plateau has created the unique hydrochemical characteristics of the region’s natural water,...     

Stem radial growth indicate the options of species,topography and stand management for artificial forests in the western Loess Plateau,China

An understanding of the differences in artificial forest between tree species,slope aspects,and management options in arid environments is fundamentally important for efficient management of these artificial systems;however,few studies have quantified the spatial and temporal differences in stem radial growth of trees in the arid western Loess Plateau of China.Using dendrochronology,we assessed the growth of three woody species(the native shrub Reaumuria soongorica,the exotic shrub Tamarix ramosissima and tree Platycladus orientalis)by measuring the annual stem radial increment.We also describe the long-term growth trends and responses to climatic factors on slopes with different aspects during periods with and without irrigation.We found that precipitation during the main growing season was significantly positively correlated with ring growth for all three species and both slope aspects.In addition,supplemental water(e.g.,irrigation,rainwater harvesting)greatly relieved drought stress and promoted radial growth.Our results suggest that as the main afforestation species in the Loess Plateau used for soil and water conservation,P.orientalis is more suitable than T.ramosissima under rain-fed conditions.However,a landscape that combined a tree(P.orientalis)with a shrub(R.soongorica)and grassland appears likely to represent the best means of ecological restoration in the arid western Loess Plateau.     

Variation and relationship between soil moisture and environmental factors in the source region of the Yangtze River from 2005 to 2016

This study analyzed soil moisture, soil erosion, and vegetation in the source region of the Yangtze River from 2005 to 2016. We found that soil moisture showed an increasing trend from 2005 to 2009 but decreased from 2009 to 2016. The surface soil moisture was severely affected by seasonal changes in the source region of the Yangtze River, especially in the soil from 0 to 40 cm. However, seasonal variation of soil moisture deeper than 40 cm was different from that in the upper layer. Soil moisture below 40 cm wasn't affected by the seasonal variation. Soil moisture from 0 to 50 cm and the average thickness of wind deposition showed a positive correlation in the study area from 2005 to 2016. For environmental protection in the source region of the Yangtze River, wind deposition played a role in water retention. Similarly, a positive correlation also existed between the average thickness of wind erosion and soil moisture. Deep-soil moisture was the key factor for vegetation structure on the Qinghai-Tibet Plateau. The results are also helpful for further understanding the variation of soil moisture on the Tibetan Plateau and providing a scientific basis for effectively protecting and controlling the ecological environment in the future.     

Post-spreading volcanism in the central South China Sea: insights from zircon U–Pb dating on volcaniclastic breccia and seismic features

Marine Geophysical Research - Post-spreading volcanism in the central South China Sea (SCS) is of broad interest and has been well-studied using mainly geophysical data. The zircon U–Pb...     

评估不同评估配置应对年龄空间结构的表现:基于印度洋长鳍金枪鱼的模拟研究

不同种群结构或种群分布的空间异质性是导致模型错误的一个重要因素,并在渔业资源评估中对参数估计有重要影响。本文根据状态相关的洄游率与区域相关的捕捞死亡率,利用合成模型,模拟了印度洋长鳍金枪鱼年龄空间结构的异质性,并生成了资源评估数据。基于这些数据,本文研究了用于空间异质资源评估模型的不同空间配置、选择曲线及CPUE（Catch Per Unit Effort）使用场景的表现。本文结果表明：（1） 尽管同操作模型一致的空间动态配置能在所有模拟场景中对相对产卵生物量、相对死亡系数、最大可持续产量提供准确、无偏估计,但若由于知识与数据限制,使空间动态配置与操作模型不一致,则其表现可能相当差;（2） 对于空间配置,边界划分必须正确,但对于非空间配置,不管边界划分正确与否,只要划分的区域能合理反映现场数据的变化,并能通过增加空间参考参数从而能有效减少忽略空间结构的影响即为合理;（3） 尽管区域作为渔业的方法及灵活的时变选择曲线是一个较好备选方法,可用于解决空间结构问题,但这些方法并不能完全消除由空间结构而引起模型错误导致的影响,从而使模型的参数估计具有很大的不确定性、相同评估模型不同参数的估计质量不一致、相同评估配置的评估质量在不同模拟场景下存在很大的差异;（4） 尽管采用多个CPUE指数一般可以避免最差的参数估计,但没有更好的选择或生成CPUE指数的方法可以用于显著提高资源评估质量,因为忽略空间结构将导致所有资源评估模型预测的CPUE所包含的信息通常不同于观测的CPUE。对比不同建模者的模型配置的评估结果,除了与操作模型完全匹配的空间配置外,其他模型配置的表现均与具体案例有关。从这个意义上讲,本文研究结果不仅对当前印度洋长鳍金枪鱼资源评估有益,也将增加对空间结构配置效果的理解。