基于临近相似性考虑的犯罪热点密度图预测准确性比较——以DP半岛街头抢劫犯罪为例

在无时空考虑的密度估计算法基础上,分别加入了案件点之间的时间临近相似性、空间临近相似性和时空临近相似性的考虑,利用DP半岛2006~2007年的街头抢劫犯罪数据为基础计算无时空临近相似性、时间临近相似性、空间临近相似性和时空临近相似性4种不同算法所得到的犯罪热点图,并以之预测2008年的街头抢劫。通过Natural breaks（Jenks）分级方法和等比例面积选取两种方式来划定热点区域进行预测并进行PAI指数得分比较,结果表明时空临近相似性的密度估计算方法在犯罪预测的优势比较显著。     

Spatial patterns of retail activity and street network structure in new and traditional Israeli cities

The association between spatial patterns of retail activity and the spatial configuration of street networks was examined by means of the space syntax methodology in eight Israeli cities that represent two city types, characterized by different planning approaches and urban growth: (i) new towns, which were established according to a comprehensive city plan and modern planning concepts of “tree-like” hierarchical street networks and “neighborhood units”; (ii) older cities, where street networks and the spatial patterns of retail activity were formed incrementally during their growth. Unlike in older cities, retail activity in new towns concentrates in relatively less-accessible and intermediate locations. This is indicated by a weak correlation between retail activity and the street network’s Integration and Choice centrality measures. The comparison between Israeli cities illustrates the influence of urban growth and planning approaches on the formation of retail activity and its interaction with the structure of the street network.     

A partial susceptibility approach to analysing the magnetic properties of environmental materials: a case study

An approach to expressing the magnetic properties of environmental materials in terms of the contributions of the magnetic susceptibilities of specific magnetic components is reported. The approach links the partial susceptibilities of discrete particles, domains or mineral fractions with the concentration-dependent parameters by means of multiple linear regression methods. The case study, using the Liverpool street dust data set, demonstrates that the technique is able to model the contributions of the main magnetic components satisfactorily. Several factors may have a significant impact on the regression results. These include the validity of the linear proportional relationships between partial susceptibilities and the relevant concentration-dependent parameters, the adequacy of the variable selection procedure and the regression model, and the suitability of certain magnetic parameters.     

城市街道景观三维可视化的快速实现

提出了融合车载序列影像和二维矢量地图、快速实现城市街道景观三维可视化的方法。实验证明了该方法的有效性。     

金华市街道灰尘磁化率与交通因素的关系

通过对浙江省金华市街道灰尘磁化率测试,从主干道与非主干道磁化率的对比、十字路口与非十字路口磁化率的比较以及磁化率与路网密度相关分析三个方面,定量研究金华市街道灰尘磁化率及其与交通因素的关系。结果表明：灰尘样品磁化率（χlf）变幅为127.57×10^-8~853.91×10^-8 m³ · kg^-1,平均值为322.55×10^-8 m³ · kg^-1,高于本地土壤磁化率;频率磁化率变幅为0.67%~3.99%,平均值为1.61%;磁化率与频率磁化率呈负相关关系;主干道灰尘的磁化率大于非主干道,十字路口灰尘磁化率大于非十字路口;灰尘磁化率和路网密度呈正相关,金华市街道灰尘磁化率可以指示交通污染的分布状况。     

城市道路尘埃的磁性特征及其环境意义

城市环境磁性研究表明,道路尘埃中的粗颗粒磁性载体(频率磁化率系数χ′FD＜5%)多为人为源,磁性矿物以单畴和多畴状态的磁铁矿为主,同时含有少量的赤铁矿和其他磁性矿物;细颗粒磁性载体(χ′FD为7%～11%)多为自然源,磁化率较低(小于100×10-8 m3/kg).磁性物质在迁移时往往与粗一级粒径的尘埃颗粒相伴生,磁性参数(如磁化率)和重金属元素(如铅、锌)质量分数之间呈相关关系,它们之间的关系可以用回归分析方法确定.利用电镜分析、因子分析和聚类分析方法可以识别道路尘埃物质的污染源.因此,道路尘埃的磁性特征研究在城市环境评价中具有潜在的重要意义.     

昆明市城区旱季尘土磁化率特征及环境意义

分析了昆明市区旱季道路尘土样品磁化率特征。结果表明,样品的Xlf的变化范围为96×10-8~9×10-8m3/kg,平均值为46.5×10-8m3/kg,Xfd值变幅为0.3﹪~13.8﹪,平均为2.0﹪;磁化率数值由市中心区向郊区呈下降趋势,且城市不同功能区的磁化率值也存在明显差异,表明影响昆明市街道尘土磁化率因素的多元性,工业活动可能不是昆明市城区道路尘土磁性矿物颗粒最主要来源,而主要是来自市区日常生产与生活活动,特别是昆明市众多机动车辆产生的磁性颗粒物;道路尘土中磁性矿物含量较高,以人为源为主,重金属污染较重。     

A Street Fit for a King: Naming Places and Commemoration in the American South

The naming of streets after Martin Luther King, Jr. (MLK) is an importantarena for African Americans as they rewrite the landscape of southern identity and commemoration. While less ornate and ostentatious than museums and monuments, MLK streets are powerful and highly contested cultural geographies because of their potential to connect disparate communities and incorporate a vision of the past into the spatial practices of everyday life. They reveal the importance of location, particularly intra-urban location, to public memorialization. Naming streets for King is a significant part of the nonmetropolitan South as well as larger cities and dependent upon the relative size of a city's African-American population. When estimating the intra-urban character of MLK streets within several southern states, findings suggest that they are located in census areas that are generally poorer and with more African Americans than citywide averages. Analysis reveals a geographic unevenness in the frequency of businesses having an address identified with King. When compared with the stereotypical American thoroughfare of “Main” Street, the address composition of MLK streets appears to be more residential in nature, although there is significant state by state variation.     

GEOGRAPHERS IN GOVERNMENT

Geographers are working in federal, state, and local government agencies in many diverse positions. Historically and presently, geographers have held key policy positions in government agencies. In recent years the employment base for geographers in government has been broadened. Geographers working in government generally must have a pragmattic outlook that enables them to do the tasks assigned regardless of how geographical those assignments may be.     

Generating hierarchical strokes from urban street networks based on spatial pattern recognition

Strokes are products of a higher-level aggregation of street segments that can reflect functional importance and perceptual significance that is associated with them in human spatial mental conceptualizations, which is of vital importance for network analysis, street selection, and map generalization. Street properties (e.g., street names) and angles between street segments are the two main elements used for generating street strokes according to the continuity principle of perceptual grouping into networks. However, it is difficult to automatically generate strokes with good continuity from street networks with multiple lanes such as dual carriageways or complex street junctions. This article proposes a method for generating street strokes that maintain good continuity across multiple lanes and complex street junctions. The proposed method first detects dual carriageways and complex junctions in street networks and then generates strokes according to the continuity principle of perceptual grouping. Finally, it groups the generated street strokes across the dual carriageways and complex street junctions to maintain good continuity. Moreover, the generated strokes are hierarchically ranked based on stroke length and centrality measurements. Experimental studies demonstrate the validity and effectiveness of the proposed method. The result shows that the generated street strokes maintain good continuity and reflect well the hierarchical structure of the street networks.