GIS线目标间拓扑关系描述的4交差模型

提出了利用连通度不变量来区分单个线目标上具有不同拓扑特性的点，进一步定义了线目标的端点集和内点集。在此基础上，建立了IR^1和IR^2中线目标间拓扑关系的基本模型。该模型能有效地表达线目标间拓扑关系的变化特性。     

递归相似和线性多步法

在递归相似的基础上提出数值求解初值问题的一种新方案，与传统方法的区别，在于求解归结为演化系数的计算。这里给出常微（组）初值问题的算法；并指出新方法与传统方法的关系。     

实验变差函数计算方法的研究与运用

本文系统、详尽地分析讨论了不同样品数据条件下实验变差函数的计算方法。在实验变差函数计算流程的设计和有效样品搜索域的确定方面提出了自己独特的见解。最后用一个矿山的控矿工程教据对文中介绍的方法进行了测试。结果表明,利用本文的方法,容易得到稳健、准确、信息量高的实验变差函数。     

Research Note: Neighborhoods as Territorial Units: The Case of Tel Aviv-Jaffa

This paper suggests a GIS-based methodology for the investigation of the extent to which the inhabitants of a representative sample of city residents perceives itself as living in socially constituted neighborhood territories. We ask residents about the relevancy of the neighborhood as a social unit and to delineate their neighborhood boundaries. We then define these delineations as polygons in GIS, measuring the tendency of neighbors to define merging territorial bases for their neighborhoods. Three possible patterns are identified: (1) lack of perceived boundaries resulting from the irrelevancy of the neighborhood, (2) personal senses of localities that do not merge into communal territories by immediate neighbors—in this case we conclude that residents experience some sense of locality but they do not share any common sense of neighborhood—and (3) the tendency of residents' delineations to merge with those of their neighbors demonstrating, by thus, the social constitution of communal sense of neighborhood. We conclude that in most of the city the neighborhood is marginally relevant with only several areas, located in the outer ring of the city, presenting a coherent territorial sense of neighborhood.     

The modifiable areal unit problem in hedonic house-price models

When geographically aggregated data are included in hedonic models, the resulting coefficients are biased by the spatial scale and spatial configuration of variable measurement. We explore the effects of this modifiable areal unit problem (MAUP) within the context of hedonic price models with an individual-level dependent variable. Specifically, we developed standard and spatial hedonic regression models in order to examine the effects of the MAUP on model fit and coefficient estimates. Our empirical analysis documents several significant scale and zoning effects in the hedonic modeling framework. First, neighborhood characteristics are clearly important in efforts to improve model fit—and they are more significant contributors in the standard model than in the spatial hedonic model. For aggregation scale, the model fit change of the standard model is relatively large, whereas the change is more modest for spatial models. The patterns of change in model fit for standard and spatial hedonic models clearly diverge from one another, implying the existence of a scale level showing a maximum functional range of the submarket on which scale dependencies are expected to have an impact. Regarding the zoning effect, the model fits for both standard and spatial hedonic models vary according to the submarket systems.     

Residential mobility and neighborhood inequality during the transition to adulthood

There is ongoing interest on the outcomes of residential mobility during the young adulthood. In this paper, we examine movement in and out of disadvantaged and advantaged neighborhoods as individuals move out of the family home and experience significant life course events. Using longitudinal data on young adults in the United States from the National Longitudinal Study of Adolescent to Adult Health, we find that while the point-in-time measure of the neighborhood poverty gap (the difference between the most and least advantaged neighborhoods) remained nearly identical from adolescence to young adulthood. But the neighborhood poverty gap between individuals starting out in the least and most disadvantaged residential settings decreased by 18.2 percentage points. In other words, cross sectional estimates of the poverty gap do not capture the dynamism of changes in poverty with young adult transitions. Partner formation, home ownership, and educational attainment are important life course transitions associated with significant moves up and down the neighborhood poverty distribution.     

A STATISTICAL APPROACH TO THE PROBLEM OF MISSING SPATIAL DATA USING A FIRST-ORDER MARKOV MODEL*

Geographical data sets sometimes contain missing observations that need to be estimated. A statistical approach to the problem is discussed for multivariate normal spatial data sets satisfying the first-order spatial Markov property with constant mean, where the information at neighboring or contiguous observed sites is used to estimate the missing values. The completed data are used to estimate the parameters of the distribution. The procedure is iterative. The approach is a special case of the Orchard and Woodbury missing information principle. The paper concludes with an illustrative empirical example using rainfall data from an area of Kansas and Nebraska. The quality of the estimates for different sites are compared.     

基于两种插值算法的三维地质建模对比

三维地质建模过程中,插值算法对模型准确性具有显著影响。为评价不同插值算法对三维建模准确性的影响,本文选取反距离权重插值法和自然邻域插值法开展对比研究。通过理论分析和案例研究,从统计学原理、插值误差和可视化效果等三方面进行了对比分析。结果表明：反距离权重插值法在建模中精度较高,适应面更广。与自然邻域插值法相比,反距离权重插值法更加适用于地层缺失严重的层位,能够更好地保留地层缺失的特征;同时,反距离权重插值法能够更好地处理断层构造,对于地层的错断起伏情况表现效果更好;反距离权重插值法在沉积地层中误差更小,与实际情况更接近。     

Cross-scale analysis of cluster correspondence using different operational neighborhoods

Cluster correspondence analysis examines the spatial autocorrelation of multi-location events at the local scale. This paper argues that patterns of cluster correspondence are highly sensitive to the definition of operational neighborhoods that form the spatial units of analysis. A subset of multi-location events is examined for cluster correspondence if they are associated with the same operational neighborhood. This paper discusses the construction of operational neighborhoods for cluster correspondence analysis based on the spatial properties of the underlying zoning system and the scales at which the zones are aggregated into neighborhoods. Impacts of this construction on the degree of cluster correspondence are also analyzed. Empirical analyses of cluster correspondence between paired vehicle theft and recovery locations are conducted on different zoning methods and across a series of geographic scales and the dynamics of cluster correspondence patterns are discussed.      

中国重点产业创新产出时空分异及影响因素

采用Mann-Kendall、Theil指数、空间马尔科夫链等方法,对1994-2014年中国十大重点产业创新产出时空演化进行分析,并对创新发展空间分异成因进行了探讨。研究表明：① 研究期内,中国重点产业创新产出分为两个时段,成果呈指数型增长;② 创新产出差异先增后减,东、中、西、东北板块间差异小于板块内部,创新产出发展呈现出传染扩散与等级扩散的双重特征;③ 邻域环境影响创新发展,创新产出水平发生类型转移的单元集中在东、中部地区,且活跃度不断提升;④ 经济社会与政策条件、高等教育基础条件对重点产业创新发展有明显的正向驱动作用,而工业化程度影响微弱,未来加强对高等教育基础与智力资本的投入可进一步增强重点产业创新发展竞争力。