基于iBeacon的精细室内定位方法研究

苹果公司发布的i Beacon作为一种粗精度位置感知服务体系,得到了广泛关注。针对更精细的广域位置服务,提出了基于i Beacon的无线指纹定位方法,并给出了图书馆的位置服务示例。     

城市居住空间分异背景下青少年成长的邻里影响——以广州市鹭江村与逸景翠园为例

城市居住空间分异是现代城市社会阶层分化导致的普遍现象,西方许多研究证明这种特定人群集中居住的邻里会对其中的青少年的成长产生多方面的影响。本文以广州市鹭江村和逸景翠园社区为例进行对比研究,探究中国城市中不同邻里对居住在其中的青少年成长的影响。在此将邻里特征分为社会经济特征、家庭教育观念特征、同龄人交往特征、机构资源特征4 个方面,运用logistic 回归分析发现,上述4 个方面的邻里特征确实会对青少年的成长产生影响,其中社会经济特征对青少年的学习成绩有影响,家庭教育观念特征影响青少年的教育表现与心理状态,同龄人交往特征则对青少年性格有重要影响,机构资源特征会影响青少年发展机会的获得。而邻里影响的作用机制可以用Jencks等的邻里机构资源模式和群体社会化模式来解释。     

一种利用点云邻域信息的建筑物屋顶面高精度自动提取方法

从LiDAR数据中高精度地提取建筑物屋顶面是构建屋顶面拓扑关系、实现建筑物三维模型重建的关键。本文针对现有算法提取复杂建筑物屋顶面适应性较差、精度较低等问题,提出了一种利用点云邻域信息的建筑物屋顶面高精度自动提取方法。通过主成分分析计算点云特征,构建特征直方图,选取可靠种子点;利用提出的局部点云法向量分布密度聚类算法聚类种子点,快速准确地提取初始屋顶面片;构建基于邻域信息的投票模型,有效地解决屋顶面竞争现象。试验结果表明,本文方法可自动、高精度地提取屋顶面,对不同复杂程度的建筑物具有较好的适应性,能为建筑物三维模型重建提供可靠的屋顶面信息。     

Testing the correctness of the sequential algorithm for simulating Gaussian random fields

The sequential algorithm is widely used to simulate Gaussian random fields. However, a rigorous application of this algorithm is impractical and some simplifications are required, in particular a moving neighborhood has to be defined. To examine the effect of such restriction on the quality of the realizations, a reference case is presented and several parameters are reviewed, mainly the histogram, variogram, indicator variograms, as well as the ergodic fluctuations in the first and second-order statistics. The study concludes that, even in a favorable case where the simulated domain is large with respect to the range of the model, the realizations may poorly reproduce the second-order statistics and be inconsistent with the stationarity and ergodicity assumptions. Practical tips such as the multiple-grid strategy do not overcome these impediments. Finally, extending the original algorithm by using an ordinary kriging should be avoided, unless an intrinsic random function model is sought after.     

基于车载激光点云的高精地图矢量化成图

针对车载激光点云中对各特征物提取结果后矢量化成图时的自动化问题,本文基于双方向积分法实现了边缘检测及矢量化成图,旨在保证特征物基本特征的同时,也保证点云的绝对精度。将输入的特征点云进行离群点过滤,以保证外包框算法特征点云的准确度;将三维点云按照外包框算法投影至最优平面,为后续沿各方向积分提供输入;利用八邻域KD-tree算法求出样本特征点云的均值邻域半径,依据邻域半径对各方向积分提供积分域中的微分元;根据提供的微分元沿各方向进行积分,在该积分元内找到距平面最值的最优解;按照积分结果构建点云索引,并根据点云特征构建模型,最终得到高精地图的矢量化点云。试验证明了该方法在处理实际问题时的可行性。     

社区商业模式选择的思考——以苏州工业园区邻里中心为例

在城市的旧社区商业改造和新社区商业开发过程中,建立合理的社区商业模式对于保障居民日常生活需求、改善社区商业交易环境、完善城市社区功能、提升城市面貌有着重要的现实意义。本文以苏州工业园区邻里中心为例,通过实地考察和问卷调查的方式,从区位、布置方式、业态组合、居民的消费行为等方面进行分析,论述新加坡邻里中心在苏州本地化过程中的成功经验,提出对国内社区商业模式选择的建议。     

Where is my neighborhood? A dynamic individual-based definition of home ranges and implementation of multiple evaluation criteria

With the growing interest in studying characteristics of geographical context and its influence upon people, the concept of home range has been a focus of scholarly research. Home ranges are studied extensively across multiple disciplines, with literature supporting different operationalization techniques. This article argues that many of the existing approaches are not dynamic and versatile enough and do not provide reliable solutions for estimating individual home ranges. We additionally argue that many of current studies lack robust evaluation approaches. Recent evidences suggest that the usual approaches, which often exclusively rely on a single validation criterion, are not reliable and may be influenced by inferential errors. This study aims to tackle the exiting limitations in definition and operationalization of individual-based home range models and provide a more robust solution for their evaluation and comparison. Using data collected through public participation GIS we develop an applied, dynamic, and parametric model of individual home ranges. Subsequently, we propose multiple criteria comprising five validation hypotheses to evaluate model's effectiveness. We argue that application of this approach in evaluating spatial delimitation models can ameliorate the risk of biased validation resulting from inferential errors. The evaluation results indicate a substantial improvement in coverage of visited points compared to previously used static methods. Consequently, this paper draws a number of conclusions that can serve as guidelines for future research. This paper highlights the strengths and weaknesses of the proposed method and explains how it can be improved and employed in future studies investigating contextual effects on residents.     

基于点云数据的改进四叉树空间索引研究

随着测绘行业的不断发展,三维激光扫描技术已经成为地理信息产业中不可或缺的重要组成部分^[1],然而点云庞大的数据量给处理带来了一定的困难。本文针对运用车载移动测量系统所获取的海量点云数据,采用了一种基于编码改进四叉树索引的点云数据组织处理方法。结果证明该方法提高了创建索引的速度,减少了树的深度以及数据的冗余量,并基于此编码进行最邻近查找,具有可行性和有效性。     

Neighborhood and socioeconomic change in emerging megapolitan nodes: tracking shifting social geographies in three rapidly growing United States metropolitan areas, 1980–2010

This paper investigates the complex demographic and social changes that have occurred in the neighborhoods of fast-growing United States metropolitan areas emerging as nodes in megapolitan regions between 1980 and 2010. A neighborhood typology is created using k-means cluster analysis to examine the demographic and housing characteristics, and geographic distribution, of neighborhoods that have existed in rapidly growing metropolitan areas. A socioeconomic index is created using principal component analysis (PCA) to analyze socioeconomic conditions within neighborhoods. Using data from the metropolitan areas of Las Vegas, Nevada; Austin, Texas; and Raleigh, North Carolina, this study identifies five neighborhood types, each of which has distinctive geographic and socioeconomic trends. The geographic orientation of each metropolitan area within their larger megapolitan region appears to have a role in the geography of neighborhood change. The results are also discussed in relation to human ecology, immigration, and economic restructuring.     

基于二元关系的GIS实体拓扑关系的粗糙表达

利用二元关系和粗糙集的一些性质来研究GIS实体之间关系,发现在基于二元关系的广义近似空间下GIS实体的前继领域、后继领域算子、上、下继领域包含了比它自身更广的一个集合定义。同样基于粗糙集,我们发现二元关系GIS实体的上、下近似比Pawlark粗糙集的定义更广泛。在二元关系的广义近似空间下,一个GIS单点集的上近似等于它的前继领域,同样等于它后继领域的逆。