Gated communities in England: historical perspectives and current developments

It is important to analyse the growth of gated communities and the drivers for their supply and demand, within the context specific to each country’s history. This article uses findings from recent studies of gated communities in England, together with historical material, to explore their typology. It considers the changing social, economic and political conditions which may lead to the emergence of defended collective housing, together with the history of property relations and the concept of public/private land within the English context.     

Effects of Policy Measures and Moderating Factors on Climate Change Adaptation Among Private Forest Owners in Sweden

Threats associated with climate change may damage forests. To encourage adaptation in countries with a lot of privately owned forest, policy measures directed at private forest owners may be implemented. By means of policy scenarios, the present study examined the effects of two hypothetical policies: an advice and an economic incentive, on climate change adaptation among private forest owners in Sweden (n?=?753 and n?=?729). Both policies strengthened the intention to adapt although results also revealed that individual variables (i.e., forest values) and a contextual variable (i.e., being in an encouraging social risk management context) were important for the owners’ response. Production forest values and social risk management context furthermore moderated the effect of policy on intention to adapt, suggesting that the economic incentive was mainly more effective than the advice among owners with strong production values and among owners in less encouraging social risk management contexts.     

Developing a GIS-Based Online Survey Instrument to Elicit Perceived Neighborhood Geographies to Address the Uncertain Geographic Context Problem

Although neighborhood factors have been consistently associated with health, technological difficulties in eliciting self-defined neighborhoods from large cohorts have compromised the interpretability of this research. Here, we offer a mixed-methods approach to elicit and validate self-defined neighborhoods. Participants used a customized Google.Maps interface to “draw” their neighborhood and answered questions about perceived map accuracy, neighborhood definition, and neighborhood activities. We compared geographic concordance of drawn and narrative neighborhood definitions, quantified differential accuracy by demographic characteristics, and examined factors influencing neighborhood definitions. We found similar geographic concordance between narrative and mapped boundaries in two cities, with no differences by neighborhood size. Self-reported neighborhoods had greater concordance with larger administrative areas (e.g., police precincts) than for smaller units (e.g., census tracts). To delineate their neighborhood boundaries, participants reported using administrative definitions, walking distance, their familiarity with people and structures, where they spend time, and physical landmarks. In New York City, participants also reported considering sociodemographic characteristics and transportation. Our method demonstrates the feasibility of collecting perceived (egocentric) neighborhoods through online mapping surveys, adaptable to many study settings.     

Primary Sector Value Chains,Poverty Reduction,And Rural Development Challenges In The Philippines

The insertion of Philippine agriculture and fisheries into global value chains has not contributed significantly to rural poverty reduction, in contrast to several other Southeast Asian countries. While there are pockets of downstream export successes, upstream actors face persistent precarious conditions. This comparative investigation of the relationships between value chains and rural development fills a gap in the literature on the Philippines. An analysis of four important products affecting at least 3 million households illustrates the need to focus more on upstream value‐chain governance and pro‐poor rural development interventions. This article shows that the integration of livelihoods and value‐chain analyses has the advantage of fleshing out upstream challenges that are relevant for agri/aquabusiness performance, socio‐spatial policies, and refinements of rural development theories. It is unlikely that horizontal coordination/social capital as well as associated upgrading efforts will be effective without a stronger emphasis on vertical coordination and human‐capital formation.     

语言经济原则的语用研究

为提高语言交际效率,作者或发话人往往选择最精简的语言符号表达特定的思想,这就是语言经济原则,它作为规约语言使用的语用机制,对有关语用理论如会话含义理论、关联论和模因论等语用理论具有普遍约束力。     

条件随机场框架下基于随机森林的城市土地利用/覆盖遥感分类

针对"基于像素的条件随机场(conditional random fields,CRFs)模型能否在m级分辨率的多光谱遥感图像分类中表现良好"的问题,提出了集成图像的光谱、方向梯度直方图和多尺度多方向Texton纹理等多种线索的CRFs模型定义方法。利用上述特征,选择随机森林(random forests,RF)定义CRFs关联势函数;利用特征对比度加权的Potts函数定义CRFs交互势函数,并且建立了多标签的RF-CRFs模型;对该模型进行分项参数训练以及基于图割的α-膨胀算法推理;利用典型城区的Quick Bird多光谱图像进行模型的验证与精度评价。结果表明RF-CRFs模型的分类精度可达82.52%以上,比RF分类器的分类精度提高了3.35%。     

Mapping ideas from cyberspace to realspace: visualizing the spatial context of keywords from web page search results

We introduce a new method for visualizing and analyzing information landscapes of ideas and events posted on public web pages through customized web-search engines and keywords. This research integrates GIScience and web-search engines to track and analyze public web pages and their web contents with associated spatial relationships. Web pages searched by clusters of keywords were mapped with real-world coordinates (by geolocating their Internet Protocol addresses). The resulting maps represent web information landscapes consisting of hundreds of populated web pages searched by selected keywords. By creating a Spatial Web Automatic Reasoning and Mapping System prototype, researchers can visualize the spread of web pages associated with specific keywords, concepts, ideas, or news over time and space. These maps may reveal important spatial relationships and spatial context associated with selected keywords. This approach may provide a new research direction for geographers to study the diffusion of human thought and ideas. A better understanding of the spatial and temporal dynamics of the ‘collective thinking of human beings’ over the Internet may help us understand various innovation diffusion processes, human behaviors, and social movements around the world.     

一种顾及动静态的室内定位技术精度评价方法

为了解决室内定位问题,已提出多种室内定位系统,但各类定位系统的精度评价只利用了静态方法或动态方法中的一种,而两种方法均存在一定的优势和局限。本文根据室内定位系统精度评价的目的和需求,结合静态和动态评价方法的优劣进行优势互补,提出了一种顾及动静态的精度评价方法,该方法的关键是真值参考系统的建立。在对一种基于手机WiFi/PDR融合定位的室内定位系统验证试验中发现,该方法可以有效获得精度评价的指标,可满足室内定位系统的评估需求。     

基于随机森林算法的多维情境特征活动识别

利用智能手机传感器可感知时间、空间、时空和用户等多维情境的特征,可识别用户活动,但原框架模型中仅利用了单一分类器中的朴素贝叶斯算法,存在分类精度效果受限的问题。本文利用集成分类器中的随机森林算法对原有框架中的单一分类器进行了改进。在获取的3个数据集上的十倍交叉验证结果表明,加权平均F1量测值均有较大提高,表明利用随机森林算法在分类精度效果上有所提升;但由于集成算法结构相对复杂,其学习效率相对较低。此外,随机森林算法的分类混淆矩阵表明,导致识别误差的因素主要为活动的定义与室内定位精度。     

基于CiteSpace的粤港澳研究脉络可视化分析

利用文献计量和可视化工具CiteSpace,对1988—2020年粤港澳研究从科研机构、学者合作等横向特征以及文献数量演化、研究领域及研究热点迁移等纵向特征进行分析.研究发现:1)科研机构类型多样,以中山大学、暨南大学、广东外语外贸大学等高校为主导,且集中于广东省内;机构间初步形成合作关系网,但合作强度不高.2)个别学...