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。     

THE EXPANSION METHOD: IMPLICATIONS FOR GEOGRAPHIC RESEARCH*

Geographic phenomena and our models of them are closely linked to the spatial-temporal contexts in which they are observed. The expansion method is a procedure that incorporates contextual effects into mathematical models. More importantly, it is the basis for a movement by some geographers away from the classical spatial science paradigm. The evolving paradigm associated with the expansion method represents a reformulation of the way in which geographers think about and use models, and is consistent with a more realistic perspective on the nature of geographic inquiry.     

一种顾及上下文的遥感影像模糊聚类

模糊聚类是非监督分类中的一类重要方法。传统的模糊聚类方法应用于遥感影像的非监督分类时，均未考虑到邻域像元间的统计依赖关系即上下文信息。针对这一缺陷，在Markov随机场模型框架下，引入了空间隶属度概念，提出了一种顾及上下文信息的模糊聚类算法，有效地提高了聚类精度和抗噪声能力。针对需要预先指定聚类个数的问题，采用了一种兼顾类别内部紧密程度和类别之间分离程度的评价指标，用以检验聚类结果的有效性。从而找出最优的聚类个数，在一定程度上提高了聚类结果的客观性。最后通过实验验证了本文算法的有效性。     

移动环境下自适应地图可视化研究

本文首先介绍了移动地图学的概念框架,然后在对移动环境下自适应地图可视化中涉及的用户模型、上下文模型进行分析的基础上,提出了自适应地图可视化的处理流程,并详细讨论了移动环境下自适应地图可视化中存取速度、显示速度、界面元素放置、载负量、符号设计、色彩设计、图例设计和方向设计这些关键技术的实现。     

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.     

Semantic Visual Variables for Augmented Geovisualization

ABSTRACT

The human–cyber–physical world produces a considerable volume of multi-modal spatio-temporal data, thus leading to information overload. Visual variables are used to transform information into visual forms that are perceived by the powerful human vision system. However, previous studies of visual variables focused on methods of ‘drawing information’ without considering ‘intelligence’ derived from balancing ‘importance’ and ‘unimportance’. This paper proposes semantic visual variables to support an augmented geovisualization that aims to avoid exposing users to unnecessary information by highlighting goal-oriented content over redundant details. In this work, we first give definitions of several concepts and then design a semiotic model for depicting the mechanisms of augmented geovisualization. We also provide an in-depth discussion of semantic visual variables based on a hierarchical organization of the original visual variables, and we analyse the critical influencing factors that affect the choice of visualization forms and visual variables. Finally, a typical application is used to illustrate the relevance of this study.     

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。     

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.     

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%。     

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...