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。     

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.     

Housing differentiation and housing poverty in Chinese low-income urban neighborhoods under the confluence of State-market forces

ABSTRACT

Based on a large-scale household survey conducted in six large Chinese cities, this study is among the first attempts to juxtapose factors related to institution, market, and demography to examine the complex patterns and mechanisms of housing differentiation and housing poverty in low-income neighborhoods, which are conventionally conceived as homogenous substandard settlements. Results of Theil indices and multivariate regression models convey several interesting findings. First, the forces of the market and the State have projected different impacts on various aspects of housing status. Institutional factors had significant impacts on some costly and durable housing indicators such as housing tenure and housing area, while market forces have swiftly transformed the most malleable aspects of housing conditions, such as housing facilities, and will eventually replace some institutional legacies. Second, within-group housing differentiation is more palpable than between-group housing differentiation, suggesting that low-income neighborhoods in large Chinese cities are fluid and heterogeneous. Third, different institutional elements have different impacts on housing poverty. The well-functioning market remuneration system helps reduce the risk of housing poverty, yet working poor remains a severe problem. These findings can inform policies promoting social mix and housing affordability.     

邻里建成环境对居民外出型休闲活动时空差异的影响——以广州市为例

休闲行为的产生条件一直受到国内外地理学者的重视,邻里建成环境作为结构性制约因素,在休闲行为研究的交叉学科中开始受到重视,但是关注其对休闲行为影响的时间差异的研究严重不足;此外相关研究多从是否产生休闲行为或活动量的角度去验证,缺乏建成环境对休闲空间特征影响的衡量。基于时间地理学理论,以广州市为案例地,结合居民的出行活动日志调查与人口普查数据、土地利用数据、建筑POI普查数据,探讨居民休闲行为时空特征及居住地的邻里建成环境对其产生的影响。研究发现：工作日,居民外出型休闲活动时间呈现出高度集中特征,高度集中于12:00~14:00,活动集聚的时空区域是12:00~14:00、4 km内;休息日,居民外出型休闲活动时间集聚的集中性减弱,活动持续时间增长;活动集聚的时空区域是9:00~20:00、1 km内。邻里建成环境的不同维度指标对休闲活动距离的作用时段与影响程度存在差异。工作日上午并无影响显著的因素;中午,休闲距离主要受到道路交叉口数量和商业中心可达性的负向影响;下午,休闲距离受到道路交叉口数量先负向后正向的影响。休息日上午,休闲距离主要受开敞空间用地比例的负向影响;中午,受开敞空间用地比例、公交站点数和到最近开敞空间距离的负向影响,土地利用混合度则是呈现先正向后负向的影响;下午,受道路交叉口数量和公交站点数的负向影响、休闲设施数量的正向影响。从作用机制来看,休息日是休闲机会和时间成本作用占主导,工作日是休闲环境作用占主导。     

A linear tessellation model to identify spatial pattern in urban street networks

Street patterns reflect the distribution characteristics of a street network and affect the urban structure and human behavior. The recognition of street patterns has been a topic of interest for decades. In this study, a linear tessellation model is proposed to identify the spatial patterns in street networks. The street segments are broken into consecutive linear units with equal length. We define five focal operations using neighborhood analysis to extract the geometric and topological characteristics of each linear unit for the purpose of grid-pattern recognition. These are then classified by Support Vector Machine, and the result is optimized based on Gestalt principles. The experimental results demonstrate that our method is effective for mining grid patterns in a street network.     

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.     

Is there diversity in the New Urbanism? Analyzing the demographic characteristics of New Urbanist neighborhoods in the United States

The New Urbanism (NU) planning movement aspires to create socially diverse neighborhoods. It is unclear, however, whether this movement lives up to its aspirations in practice. In an effort to systematically examine this aspect of the movement, this paper analyzes age, family type, income, and race data of 70 NU neighborhoods in the United States. The paper uses a diversity index to compare the NU neighborhoods with control sites. Findings show that NU neighborhoods have lower racial diversity, but may have higher income diversity. Consideration of variations within the way NU is implemented reveals that the low racial diversity is associated with a single approach, but higher income diversity is associated with all variants. This paper argues that NU generates places that are more socially diverse than what is described in the literature and uses two case studies to explore the ways in which diversity is produced and its relation to gentrification.     

Symbiosis between the holothurian Scotoplanes sp. A and the lithodid crab Neolithodes diomedeae on a featureless bathyal sediment plain

Vulnerability to predation may be high for many megafaunal taxa in deep‐sea sedimentary habitats where physical heterogeneity is low. During ROV observations in a bathyal sediment plain off Central California, juveniles of the lithodid crab Neolithodes diomedeae were frequently observed on or under the holothurian (sea cucumber) Scotoplanes sp. A, and are hypothesized to benefit from this association as a nursery or refugium from predation. Ninety‐six percent (n = 574 of 599) of the juvenile N. diomedeae observed (density varied from 0.02–0.75/m² among sites and seasons) in the study area were associated with Scotoplanes sp. A. Of the 2596 Scotoplanes sp. A observed (density varied from 0.48 to 25.90/m²), 22% were attended by at least one juvenile crab, and rarely two crabs (n = 4). Solitary N. diomedeae were rarely observed. This decapod–holothurian symbiosis appears to be largely commensal, with juvenile crabs (carapace width = 0.03–0.31 ×  holothurian length) observed on or beneath Scotoplanes sp. A in a habitat with few refugia from epibenthic predators. Other hypotheses may explain or enhance the potential benefits of the association for N. diomedeae, such as elevated food availability due to the activities of Scotoplanes sp. A. The relationship may be mutualistic if there is a benefit for the holothurian, including the removal of epizoic parasites. Ultimately, the nursery or other effects on the population dynamics of N. diomedeae may be minimal in low‐relief, sediment‐dominated habitats, as very few sub‐adult crabs were observed in the study area and were likely consumed upon outgrowing their refugia. While sedimentary habitats may be a sink for N. diomedeae populations, growth of juvenile crabs during their association with Scotoplanes sp. A should increase energy flow to its predator populations. This association has not been reported previously but may be expected in sediment‐dominated habitats where these species overlap.     

栅格数字地形分析中的尺度问题研究方法

栅格数字高程模型（DEM）固有的尺度特征给以栅格DEM为基本输入的数字地形分析带来各种尺度问题。对栅格数字地形分析中涉及的尺度进行梳理,以分辨率和分析窗口为重点,对栅格数字地形分析中的多尺度表达、尺度效应、适宜尺度选择、尺度转换等尺度问题及其相互关系进行阐述;分别介绍各类尺度问题的现有定量研究方法,尤其对尺度效应定量刻画和适宜尺度选择方法,根据不同方法计算定量指标所利用的信息类别进行分类归纳;最后讨论了其中有待进一步开展研究的几方面工作。     

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。