北京市基础地理信息DLG数据库物理无缝数据层的更新方法探讨

针对北京市基础地理信息DLG数据库物理无缝数据层的更新方案进行了探讨,并介绍了具体更新流程设计及相应的更新编辑实施方法,旨在建立一种高效可行的物理无缝数据更新机制,以减少对不同比例尺每一版更新数据的重复拼接整合工作。     

全站仪三角高程测量的精度分析和计算自动化

全站仪三角高程测量具有效率高,实施灵活等优点,经研究并通过实践验证,在对观测结果进行相关改正的条件下,全站仪三角高程测量完全能达到三、四等水准测量的精度要求,同时可借助Excel所具备的强大数据处理能力,使观测数据的处理更为方便快捷。     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models: An Empirical Validation of ISWRidge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p 〈0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to cheek the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height （X1 ） and potential energy （X2 ） significantly impact （p 〈 0. 0001 ） the amplitude-based refleeted rate; the P-values for the deviance and Pearson are all 〉 0.05 （0.2839, 0.3438, respectively）. That is, the goodness-of-fit between ridge height （ X1 ） and potential energy （X2） can further predict parameters under the scenario of the best parsimonious model. Investigation of 6 predictive powers （ R2, Max-rescaled R^2, Sorners＇ D, Gamma, Tau-a, and c, respectively） indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models： An Empirical Validation of ISW-Ridge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p<0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to check the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height (X1) and potential energy (X2) significantly impact (p<0.0001) the amplitude-based reflected rate; the P-values for the deviance and Pearson are all >0.05 (0.2839, 0.3438, respectively). That is, the goodness-of-fit between ridge height (X1) and potential energy (X2) can further predict parameters under the scenario of the best parsimonious model.Investigation of 6 predictive powers (R2, Max-rescaled R2, Somers'D, Gamma, Tau-a, and c, respectively) indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

港口物流系统虚拟经营模式及其二维空间逻辑结构

文章综合港口及港口物流概念出发,提出港口物流虚拟经营模式,并从港口物流虚拟经营模式内涵与特征出发,对港口物流虚拟经营模式运作流程及其平台深入分析,构建港口物流虚拟经营系统的逻辑结构.     

面向过程的海洋时空数据分布式存储与并行检索

海洋现象特征数据是一类带有过程性质的时空数据,具有多样性、多态性、海量性和时变性等特点,广泛服务于海洋灾害预报、船舶航行规划、台风路径追踪、海洋与大气环流等领域。本文根据海洋现象特征,建立海洋现象过程的对象表达和数据组织模型,设计三维空间海洋时空数据分片策略和R树空间数据索引方法,以提高海洋现象过程时空数据的查询效率。实验通过构建海洋现象过程时空数据分布式存储与并行检索系统测试算法的执行效率。实验结果表明,面向过程的海洋时空数据分布式并行检索算法能够实现数据的高效检索,验证了海洋现象过程对象数据组织模型的合理性,为研究海洋现象过程多要素的关联机制提供了有效的方法和理论基础。     

刺参染色体制备的初步研究

为探索取材容易、结果稳定可靠的刺参染色体制备方法,分别以刺参(Apostichopus japortfcus)胚胎和成体为材料对刺参染色体制片方法进行了研究.结果表明,以原肠后期胚胎为材料采用常规的热滴片法,细胞有丝分裂指数最高,获得分裂相效果最好;以成体呼吸树、成体肠组织为材料时,也能获得中期分裂相染色体,但存在着细...     

海洋内波发生概率的模糊逻辑推理预测模型

海洋内波发生的诊断及预测,因其生成机制的复杂性和实际观测资料的缺乏而被海洋学界公认为一个难题。为此,提出了一个基于模糊逻辑思想的内波发生概率诊断与预测新方法,并利用该方法建立了内波发生概率预测模型。从实际海洋水文资料中提取出影响内波发生的8个海洋环境因子作为模型的输入,内波发生概率作为模型的输出。最后将预测模型在西北太平洋不同海域进行了应用。结果表明,该模型可为海洋工程和舰船航行中规避和防范内波提供参考。     

海啸危险性概率分析的不确定性研究

针对海啸危险性概率分析（PTHA）存在的较大不确定性问题,对不确定性产生来源进行了归纳和分类,提出了基于逻辑树与事件树方法合理量化不确定性的思路框架,并以马尼拉海啸潜源为研究对象,给出了量化震级上限、破裂面参数不确定的过程示例。数值模拟分析结果表明：海啸潜源震级上限的改变对危险性评估结果产生了显著影响,通过逻辑树方法可合理量化这种不确定性;地震破裂面的倾角、滑移角和破裂面积的随机不确定性对海啸危险性分析结果产生较为显著的影响,经事件树方法处理后的危险性结果保证率远高于20%,略低于80%,可基本满足工程抗海啸设计要求。     

基于R树的分布式并行空间索引机制研究

为提高分布式并行计算环境下海量空间数据管理与并行化处理的效率,基于并行空间索引机制的研究,设计一种多层并行R树空间索引结构。该索引结构以高效率的并行空间数据划分策略为基础,以经典的并行计算方法论为依据,使其结构设计在保证能够获得较好的负载平衡性能的前提下,更适合于海量空间数据的并行化处理。以空间范围查询并行处理的系统响应时间为性能评估指标,通过实验证明并行空间索引结构具有设计合理、性能高效的特点。