基于地统计的徐州市人口密度空间分布研究

依据徐州市2004年乡镇统计数据，以AreGIS为技术平台，采用地统计学的方法，对其人口密度的空间分布进行了研究。首先借助直方图、半方差云图和Voronoi多边形等方法对人口密度数据作探索性数据分析，获取了人口密度空间分布的初步信息；然后，采用曲线拟合和交叉证实法确立了徐州市对数人口密度空间分布的变异函数模型（指数模型）及其相关参数；最后运用对数克里金法（LK）得到徐州市人口密度空间分布的等值线地图和三维直观表达地图。     

Modal Choice in the Pittsburgh Metropolitan Statistical Area: An Exploratory Data Analysis

Journey-to-work mode choice is intertwined with ideological and pragmatic issues. This article reexamines such issues using socioeconomic data from the decennial census and American Community Survey (ACS). It investigates the structure of variables with exploratory data analysis (EDA) because this technique advises the formation of hypotheses and the specification of cause and effect. Traditional EDA reveals the nonnormal structure of raw data, mapping illustrates associations between transit and income, and both methods suggest the presence of a transit-by-choice population among affluent metropolitan residents. The results yield three hypotheses concerning propensity to use transit that have previously received little attention.     

Identification of GIS Attribute Error Using Exploratory Data Analysis*

Exploratory data analysis (EDA), a data-centered, inductive approach to statistical analysis, provides effective tools for assessing the quality and integrity of GIS attribute data. This research presents selected examples demonstrating EDA distribution analyses, correlational statistics, and proximity analysis. An integrated modular software prototype to operationalize these techniques combines the mapping and display capabilities of ArcView with the statistical functionality of STATA in a MS-Windows multi-tasking, multiple-windowed environment.     

土地空间分形结构的尺度转换特征

应用分形理论以及多元相关分析、灰色关联分析方法,分析浙江省慈溪市土地空间分形结构的尺度转换特征。结论为:①慈溪市、贵州省不同尺度分割区域的土地空间分形结构均客观存在,不因尺度不同而变化;②尺度转折点因尺度不同而出现,贵州省(省域尺度)土地利用存在尺度转折点,慈溪市(县域尺度)土地利用不存在尺度转折点;③不同尺度的慈溪市、贵州省土地空间结构的分维不仅主要受到土地类型本身几何属性的影响,而且其所受到的影响跨尺度存在;④尺度的差异造成不同影响因子的影响程度随尺度出现变化;平均图斑形状指数对慈溪市土地空间结构的分维影响最大,图斑数则对贵州省土地空间结构分维的影响最大。     

EXAMINING LARGE DATABASES:A CHEMOMETRIC APPROACH USING PRINCIPAL COMPONENT ANALYSIS

Principal component analysis is used to examine large multivariate databases.The graphical approachto exploratory data analysis is described and illustrated with a single example of chemical compositiondata obtained on environmental dust particles.While the graphical approach to exploratory data analysishas certain advantages over the numerical procedures,the empirical approach described here should beviewed as complementary to the more robust treatments that statistical methodologies afford.     

A BOOTSTRAP RESAMPLING SCHEME FOR USING THE CANONICAL CORRELATION TECHNIQUE IN RANK ESTIMATION

Rank estimation by canonical correlation analysis in multivariate statistics has been proposed as analternative approach for estimating the number of components in a multicomponent mixture.Amethodological turning point of this new approach is that it focuses on the difference in structure ratherthan in magnitude in characterizing the difference between the signal and the noise.This structuraldifference is quantified through the analysis of canonical correlation,which is a well-established datareduction technique in multivariate statistics.Unfortunately,there is a price to be paid for having thisstructural difference:at least two replicate data matrices are needed to carry out the analysis.In this paper we continue to explore the potential and to extend the scope of the canonical correlationtechnique.In particular,we propose a bootstrap resampling method which makes it possible to performthe canonical correlation analysis on a single data matrix.Since a robust estimator is introduced to makeinference about the rank,the procedure may be applied to a wide range of data without any restrictionon the noise distribution.Results from real as well as simulated mixture samples indicate that when usedin conjunction with this resampling method,canonical correlation analysis of a single data matrix isequally efficient as of replicate data matrices.     

Economic development in tropical Africa from a geographical perspective: a comparative study of African economies

Tropical Africa is often seen to have problem economies that are very much alike and suffer from the same development problems. This view is questioned in exploratory analyses of levels of wealth, spatial productivity, the structure of the economy and aspects of the openness of economies and the way they have changed between 1965 and 1995. The analyses reveal differences between economies in both degree and kind. Change to economies was not unidirectional so that they became more disparate and differentiated. The exploratory analyses were extended using factor analysis as a diagnostic tool on a 19-variable by 25 country data set for 1985, 1990 and 1995. This confirmed the findings of the exploratory analyses and revealed changes in the structure of the factors reflecting development in the period. The results are discussed in the context of the literature in a search for explanation and policy formulation.     

基于VEP实验法的江南水乡古镇游客感知意象研究——以上海枫泾古镇为例

江南水乡古镇已成为城市居民和游客回归自然、追忆乡愁的休闲旅游新标的。为获取游客对此类旅游目的地客观、真实的感知,避免游客自述性反馈的主观干扰,广泛借助格式塔心理学、凝视理论、符号学等相关理论,采用游客受雇拍摄法——邀请游客在游历过程中拍摄一系列照片,通过对照片编码和拍摄点的分析,解构游客凝视的元素、结构和空间流动,归纳游客对江南水乡古镇的感知意象特征。结果表明,游客对江南水乡古镇的感知意象呈现具有原真属性、创意属性以及功能属性的三维耦合结构。其中,最具传统江南文化表征的原真属性占据感知意象的主导,代表新式文化与传统文化融合的创意属性具有提升和开发的潜力,而带有旅游功能属性的感知意象相对最弱。从空间角度看,随着旅游活动的不断展开与深入,游客感知意象流动易在古镇入口、特色通道与景观带、园林标志物处高度聚焦、聚集。     

探索性空间分析及其与GIS集成模式探讨

探索性空间分析基于让数据说话的理念,可以避免野值或非典型观测值的误导。在对探索性空间分析的基本原理和概念界定的基础上,探讨交互式和动态空间数据分析、地学可视化及可视化空间分布、确认性空间分析、空间数据挖掘等探索性空间分析的主要技术。由于统计分析软件和GIS的数据格式差异很大,直接将二者简单集成存在一定困难,因此切实可行的集成方式是采用对象连接和嵌入(OLE)技术,分别调用统计分析软件的探索性分析功能(或者函数)以及GIS的地图显示和空间分析功能,并进行必要开发,实现二者的集成。最后对探索性空间分析的发展方向进行展望。     

湿地公园游客体验价值量表的开发方法——以杭州西溪湿地公园为例

随着体验经济时代的到来和湿地生态旅游的兴起,湿地公园游客体验价值越来越引起学术界和实践界人士的关注,如何提高游客体验价值成为增强湿地公园竞争力的有效途径。尽管有不少学者对游客体验价值的结构维度进行探讨,但对游客体验价值的概念没有深入研究,尤其是对游客体验价值的定量研究,没有一套科学合理的测量方法。因此,本研究提出量表开发的五个步骤,选取西溪湿地公园为实证研究对象,通过项目个项—总体相关分析、探索性因子分析、验证性因子分析、信度效度检验等方法,开发出由服务、特色、教育、成本、生态、信任、关怀7个体验因子、26个项目构成的湿地公园游客体验价值量表,为游客体验价值的测量提供量化工具。     

DISCRIMINANT PRINCIPAL COMPONENTS ANALYSIS

When the number of variables exceeds the number of samples, one method of multivariate discriminationis to use principal components analysis to reduce the dimensionality and then to perform canonicalvariates analysis (PC-CVA). This paper proposes an alternative approach in which discriminant analysisis carried out by a weighted principal component analysis of the group means (DPCA). This method doesnot require prior data reduction and produces discriminant factors that are orthogonal in the original dataspace. The theory and performance of the two methods are compared. Although the individual factors ofDPCA are found to be less discriminating than PC-CVA, the overall discrimination, calculated bymultivariate analysis of variance, and the predictive value, estimated by the leaving-one-out error rate,are broadly comparable.     

圣保罗大都市区社会空间分异研究——多元统计方法在城市连绵区的应用

空间数据和地理信息系统在城市规划和决策中应用的重要性日见凸显。主要原因在于：重要的人口数据和社会变动经常表现出一定的空间特性,这种特性可以通过空间分析和统计方法被认识和解释。应用多元分析的空间分类方法编制圣保罗大都市区社会分异地图并进行相关分析。研究的主要数据来自2000年巴西全国人口普查,其中包括了圣保罗大都市的所有行政区和39个自治市的21774个人口普查区。为了把都市连绵区从数据全集中分离出来,我们采用混合技术进行互补分析,即在2000年4月30日的陆地卫星7号图像中绘制一个个多边形,这些被识别出来的多边形就是人口普查区。然后,通过目视解译出假彩色多边形集合。应用空间分类评分程序将这些多边形分成五类,并建立人口普查区的数目、覆盖的面积和都市连绵区之间的关系。这种多元分析方法是基于变量的均衡化来生成易于用分级统计图描述平均值,以促进可视化和后续的空间分布分析。基于多元分析的空间分类方法研究,清楚地展现了圣保罗大都市最重要的社会特征,也说明城市社会地图方法和多元分析的空间分类方法在大都市区的管理、公共政策规划和复杂决策中具有重要的应用价值。     

Cluster analysis of seismic moment tensor orientations

This paper demonstrates that well-known methods of cluster analysis and multivariate data analysis are useful for geodynamic interpretation of seismic moment tensors. To use these methods, moment tensors are expressed as vectors in a 6-D space. These are vectors in a rigorous sense, rather than an arbitrary set of ordered numbers, because a dot product can be defined that is independent of the coordinate system. In this vector space, non-isotropic moment tensors are a 5-D linear subspace and normalized moment tensors are unit vectors, or points on a unit sphere. Distance along a great circle of the unit sphere satisfies reasonable requirements for any measure of the difference between normalized moment tensors. In regions with a few isolated sets of orientations, cluster analysis based on the great circle distance identifies the same groups of earthquakes that a seismologist would. Figures based on principal component analysis and discriminant analysis illustrate orientation clustering better than equal area projections of moment tensor principal axes. In one case where clusters have been claimed to exist, orientations appear to be continuously distributed and no evidence is found for separate populations of moment tensors.     

中国山区经济发展阶段的理论模型与预测

中国山区经济发展离不开全国经济发展的宏观背景,同时亦受到区域发展阶段性规律的制约,处于不同发展阶段的区域经济有着明显不同的产业结构特征和经济发展驱动力。在探讨区域发展机理的基础上,提出利用时空等价概念模型预测中国山区经济发展趋势与人均GDP变化特征。以模型定量研究为基础,在中国宏观经济发展的大背景下,分析山区未来5年、10年、20年不同时段的经济增长状况：在2005~2006年中国山区人均GDP达到8000元左右,在2010~2011年达到12000元左右;最后,通过对中国山区发展阶段定位,确定山区经济发展阶段转换的时机,并对转换的条件提出政策性建议。     

Research Note—The Ebb and Flow of Temporary Populations: The Dimensions of Spatial-Temporal Distributions of Daytime Visitors in the Netherlands

In a network society, the increasing fragmentation of individual activity and travel patterns has a major impact on visitors' use of places and spaces throughout the day. The aim of this study is to determine the main dimensions underlying diurnal weekday variations in visitor populations in Dutch municipalities, and to identify the salient spatial and transportation-related features of these municipalities that contribute to the dimensions of these temporary populations. Using the 1998 Netherlands National Travel Survey for six representative one-hour time periods, we performed an exploratory factor analysis to capture the underlying dimensions. The solution comprised one dimension referring to participation in activities, two dimensions related to the size of the territory in which visitor populations operate combined with the use of different transport modes, one dimension expressing the direction in which interlocal movement occurs, and three dimensions capturing different life-cycle stages within the visitor population.     

基于扎根理论的节事场所依赖维度探索性研究——以2011西安世界园艺博览会为例

场所依赖(place attachment)探讨的是个人对充满意义的特定场所产生的某种认知或感情的联系。作为一项探索性研究,以2011西安世界园艺博览会为案例,采用质性研究方法,通过参与观察和深度访谈等手段获取研究资料,运用扎根理论深入分析游客的活动特征和情感态度,研究游客的节事场所依赖特征。在此基础上挖掘和提炼节事场所依赖的维度,最终构建一个由个体、社会、场所和节事4个维度构成的节事场所依赖PSPE概念模型,为节事场所依赖的定量研究打下基础。     

空间数据挖掘技术研究进展

空间数据具有海量、非线性、多尺度、高维和模糊性等复杂性特点,空间数据挖掘技术是对空间数据中非显性的知识、空间关系等模式的自动提取。该文从空间数据挖掘的知识类型、方法、体系结构、过程以及与GIS系统集成等方面对其进行综述。重点阐述空间特征及区分规则、空间分类及聚类规则、空间分布及关联规则、空间序列及演化规则等知识类型以及统计分析、机器学习、探索性数据分析、可视化分析等数据挖掘方法。通过对空间数据挖掘理论、应用和系统实现等方面研究方向、存在问题的分析,指出集数据库、知识库、专家系统、决策支持系统、可视化工具、网络等技术于一体的空间数据挖掘系统是其主要发展方向。     

Design and Usability of an Enhanced Geographic Information System for Exploration of Multivariate Health Statistics*

The multidimensional nature of many types of data in modern geography calls for creative and innovative approaches to their analysis. Statisticians have recently developed methods for exploring and visualizing large, multivariate datasets, but cartographers and geographers in general have only recently begun to integrate these methods for use with spatial and spatiotemporal datasets that are multivariate in character. This article will present an example of such an integration—an environment for visualization of health statistics—as a case study to demonstrate the philosophical and practical advantages of geovisualization systems for the exploration of complex spatiotemporal information. Emphasis is placed on the encouragement of creative thinking about geographic phenomena through the use of such data‐rich graphical tools.     

区位选择与人文地理系统的分形优化——关于城市区位分形理论一般原理与方法的初步探讨

以城市区位论为主线,提出区位选择的分形思想和方法,旨在探讨人文地理系统空间优化的基本理论。指出区位选择和空间优化应该遵循三个基本原则：自相似原则、匹配原则和包容原则。     

基于历史地图与遥感影像的近百年来长江荆江段河道演变

基于实测的军事地形图和Landsat遥感影像,重建了20世纪30年代至2015年的近百年长江荆江段河道演变空间数据集,并以此为基础使用计盒维数法在ArcGIS 10.2平台上测算得出河道分形维数近百年来的变化过程。研究表明：荆江河道具有明显的分形特征,河道分维数值在1.074 7~1.049 1之间变动,平均值为1.061 3。近百年来荆江河道演变可以划分为2个阶段：20世纪30~50年代和1976~2015年,其分维均值分别为1.074 3和1.052 6。近百年来荆江河道处于逐渐趋于稳定的过程中。各时间断面下荆江的分维值都高于上荆江,下荆江的河流复杂程度大于上荆江,且荆江河道分维的变化主要取决于下荆江。近百年来荆江河道分维下降的原因主要是1949年后荆江河道大规模治理和人工截弯取直。