Successive Nonparametric Estimation of Conditional Distributions

Spatial characterization of non-Gaussian attributes in earth sciences and engineering commonly requires the estimation of their conditional distribution. The indicator and probability kriging approaches of current nonparametric geostatistics provide approximations for estimating conditional distributions. They do not, however, provide results similar to those in the cumbersome implementation of simultaneous cokriging of indicators. This paper presents a new formulation termed successive cokriging of indicators that avoids the classic simultaneous solution and related computational problems, while obtaining equivalent results to the impractical simultaneous solution of cokriging of indicators. A successive minimization of the estimation variance of probability estimates is performed, as additional data are successively included into the estimation process. In addition, the approach leads to an efficient nonparametric simulation algorithm for non-Gaussian random functions based on residual probabilities.     

SiZer for exploration of inhomogeneous structure in temporal distribution of earth-quakes

Introduction Globally speaking, the temporal distribution of earthquake activities is very complex. Re- searches argued that it always characterizes random and clustering features. On the hypothesis that time series of earthquake activities can be depicted by stationary or nonstationary stochastic proc- esses, several stochastic models have been proposed such as stress release models (SRMs), epi- demic type aftershocks sequence (ETAS) models as well as Markov processes for strong earth- qua…     

GPS水准计算的非参数回归法

非参数回归是一种广义的回归方法,它具有直观,对模型要求不严密,计算简单的优点。本文介绍非参数回归的原理及其左GPS水准计算中的应用,通过对两个测区的试算,得出了一些有益的结论。     

Geological applications of multi-response permutation procedures

The multi-purpose permutation procedures (MRPP) test statistic is designed to analyze multivariate data at the ordinal or higher levels. It is based on the weighted averages of symmetric distance functions over all paired objects withina priori disjoint groups of objects from a finite population of objects where each object's response is a point in anr-dimensional space. Thus, the arguments of eachr-dimensional point correspond to ther measured responses of each object in the finite population of objects. The null hypothesis underlying MRPP is that the observed sample of objects within groups of a specified size structure is randomly obtained from the pooled collection of objects comprising the finite population. The procedure is used to test the presumed geomorphic differences among three reaches of the Lower Mississippi River. A combination of the proposed reaches is favored and several variable-based reach configurations are proposed.     

基于多时相影像的农业作物非参数与概率分类

本文提出了一种新的结合多光谱和变化检测技术的多时相卫星数据集分类方法。该方法以数理统计中的最近邻法为基础,其目标函数是使得正确分类的平均概率得到最优化,即把每个分类类别看成同等重要。该新算法被应用于一个农业作物分类的研究区域,并利用覆盖该区的不同季节的SPOT和LANDSAT TM多时像影像。结果表明,与单时像影像相比,使用五个不同季节的多时像影像可以充分地提高分类精度。为了说明该方法在大尺度范围内的效果,本文选取瑞典道拉河流域作为研究区。由于不同地物的分布高度重叠,不可能得到像元水平上满意的分类精度。这就需要引进一种新的概念：像元概率分类法。基于像元的概率向量可用于判别传统分类法的可靠性并测量单个像元的不确定性（熵）。概率分类法同时提供了不同地物的面积的无偏估计,无论所感兴趣的区域的大小。这已经在不同特性的耕地试验点进行了检验。     

Development and comparison of aerial photograph aided visualization pipelines for LiDAR datasets

Light Detection and Ranging (LiDAR) technology generates dense and precise three-dimensional datasets in the form of point clouds. Conventional methods of mapping with airborne LiDAR datasets deal with the process of classification or feature specific segmentation. These processes have been observed to be time-consuming and unfit to handle in scenarios where topographic information is required in a small amount of time. Thus there is a requirement of developing methods which process the data and reconstruct the scene in a small amount of time. This paper presents several pipelines for visualizing LiDAR datasets without going through classification and compares them using statistical methods to rank these processes in the order of depth and feature perception. To make the comparison more meaningful, a manually classified and computer-aided design (CAD) reconstructed dataset is also included in the list of compared methods. Results show that a heuristic-based method, previously developed by the authors perform almost equivalent to the manually classified and reconstructed dataset, for the purposes of visualization. This paper makes some distinct contributions as: (1) gives a heuristics-based visualization pipeline for LiDAR datasets, and (2) presents an experimental design supported by statistical analysis to compare different pipelines.     

东北地区县域粮劳变化耦合模式与乡村发展类型

本文选取2001年、2008年和2015年3期截面数据,综合运用标准差椭圆等空间分析法和非参数检验等数理统计法,对东北地区183个县域粮食产量与农业劳动力变化的耦合模式及其表征的乡村发展类型进行研究。结果表明：① 2001—2015年东北地区总的粮劳变化耦合模式在2008年发生转折,2001—2008年为粮增劳减模式,2008—2015年为粮劳同增模式,这实际上是一种在多因素综合作用下发生的退化。② 县域层面,2008年前后两时段东北地区粮增劳减耦合模式的比例由45.90%下降为37.16%,同时粮减劳增与粮劳同减耦合模式的比例明显上升。从空间格局看,粮劳变化耦合模式转换的差异明显。③ 县域粮劳变化耦合模式可以较好的表征相应的乡村发展类型。县域乡村发展类型实际上具有一定的层级性和结构演进规律。④ 东北地区各县域乡村发展类型所面临的约束和机遇不同,应有针对性的采取差别化的推进策略。     

中国气象农业非参数化综合干旱监测及其适用性

旱灾是对人类社会影响以及致损最大的灾种之一,如何进行可靠的旱灾监测是旱灾预警与旱灾防灾减灾的关键。气象干旱与农业干旱的综合干旱方法是目前干旱监测的主要方法之一。本文对多变量标准化干旱指数（MSDI）方法进行改进,以非参数化的方法计算标准化降水蒸散指数（SPEI）、标准化土壤湿度指数（SSI）,提出改进的MSDI,即气象农业综合干旱指标（MMSDI）。在此基础上,用1979-2015年中国降水资料、蒸散发资料以及土壤湿度数据对不同时间尺度（3月尺度与6月尺度）分别研究气象干旱、农业干旱、气象农业综合干旱,用气象农业综合干旱分别与气象干旱、农业干旱和改进之前的气象农业综合干旱对比,并结合实际记录的干旱事件时空特征验证,结果证实MMSDI指数可以同时监测气象与农业干旱,且其监测结果准确度高于单一变量的气象（SPEI）或农业（SSI）干旱监测,MMSDI指数对气象农业综合干旱具有更好的监测效果,可考虑作为中国气象农业综合干旱监测及旱灾预警的重要理论依据。     

塔里木河源流区气候变化和年径流量关系初探

基于1957~2003年塔里木河流域源流区长期监测资料,分析塔里木河流域源流区的主要河流年径流量和相应气温、降水变化的特点,探讨流域内气候变化与水资源量变化的关系。利用非参数检验的方法,分析温度、降水变化与径流量变化的关联性和一致性。结果显示:在塔里木河流域源流区,温度在0.05水平上呈现单调递增的趋势,降水则表现为不显著增加的走势,而径流量基本均出现了递增现象;从参数检验和非参数分析的结果看,温度升高与径流量增加的关联趋势更明显。     

用非参数估计技术预报风的研究

该文介绍了使用非参数估计技术制作风的预报试验。为了有一个较完整的历史样本集,试验中使用了1981—2003年共23年的逐日资料。在采用的K近邻非参数估计技术中,由于风的特殊性,其不是标量而是矢量,试验中根据天气学原理,设计和试用了一种根据过程相似性从历史样本集中搜索出近邻子集和新的从近邻子集中挑选最佳样本的方法。试验结果显示,所试用的预报方法不仅使得风的预报Ts评分有一定的提高,同时使得3 d降水量的预报Ts评分也有一定的提高,这表明该方法具有一定的实际参考使用价值。