中心地体系与水系分形结构的相似性分析——关于人-地对称关系的一个理论探讨

以城市体系与水系的分形结构相似性为实例,探讨人文地理系统与自然地理系统的对称性及其破缺特征。首先建立城市人口—河流长度、城区面积—流域面积、 (某一级别的 )城市数目— (某一等级的 )河流数目等测度对应关系 ;然后证明基于中心地理论的Beckmann城镇等级—规模模型与 Horton水系构成第一、第二定律数理同构,关于城市人口—城区面积的异速生长关系模型与关于主河道长度—流域面积的几何测度关系模型以及 Horton水系构成的第二、第三定律数理同构 ;进而提出 :城市体系与水系分形结构的相似性实质上是自然—人文地理系统的对称性,只是这种对称关系存在一定程度的破缺,地理系统的演化目标之一似乎是要重建大自然的对称律。     

Thematic signatures for cleansing and enriching place-related linked data

There has been significant progress transforming semi-structured data about places into knowledge graphs that can be used in a wide variety of geographic information systems such as digital gazetteers or geographic information retrieval systems. For instance, in addition to information about events, actors, and objects, DBpedia contains data about hundreds of thousands of places from Wikipedia and publishes it as Linked Data. Repositories that store data about places are among the most interlinked hubs on the Linked Data cloud. However, most content about places resides in unstructured natural language text, and therefore it is not captured in these knowledge graphs. Instead, place representations are limited to facts such as their population counts, geographic locations, and relations to other entities, for example, headquarters of companies or historical figures. In this paper, we present a novel method to enrich the information stored about places in knowledge graphs using thematic signatures that are derived from unstructured text through the process of topic modeling. As proof of concept, we demonstrate that this enables the automatic categorization of articles into place types defined in the DBpedia ontology (e.g., mountain) and also provides a mechanism to infer relationships between place types that are not captured in existing ontologies. This method can also be used to uncover miscategorized places, which is a common problem arising from the automatic lifting of unstructured and semi-structured data.     

旅游中心地研究及其规划应用

在对已有旅游中心地相关研究回顾的基础上,探讨了旅游中心地的概念与界定方法,分析了旅游中心地理论在旅游空间规划中的指导意义,并以吉林省旅游发展总体规划为例,介绍如何将旅游中心地的理论运用到实际的旅游规划当中。     

基于旅游场理论的区域旅游空间竞争研究

旅游场是旅游活动存在的一种基本形式,具有能量、动量和质量,影响和作用于其中的旅游流的产生、集聚与扩散,反映场内各源点之间的相互作用关系。通过提出了旅游场的概念体系,构建了基于旅游场的区域旅游空间竞争分析模型与测度方法。并以皖南旅游区为例,从单一源点的场强、一对源点的位势、多源点的相互作用三个角度,对近1000份调查问卷资料进行统计分析,探讨了其区内旅游场核、旅游场位势、旅游场等级结构、旅游流等级扩散和旅游流空间行为的一般特点,揭示了区域旅游空间竞争的基本规律。     

旅游型城市公共空间特征及场所营造指向研究——以甘南藏族自治州夏河县为例

近年来,随着城镇化和旅游业的快速发展,加速了夏河县城市公共空间的更新建设,但也带来场所精神蜕变、识别性降低等一系列问题。在对夏河县进行社会调查、路网拓扑建模的基础上,采用模糊综合评价法、空间句法、核密度分析等方法对场所空间品质、空间活力进行系统地探析,进而对场所单元、丛拉商业文化场所等5处公共场所组团提出了具体的营建策略,并提出场所系统的营造应从构筑系统化的场所、坚持多组团多策略的营造原则、从多主体进行场所营造、营造高通达性的场所、以热点场所单元策动场所组团和场所系统的营造等视角出发营造一个高品质、高活力的场所系统。同时,期望能够为旅游型城市公共空间的场所营造提供一套可借鉴的公共空间评价方法和营造策略。     

Enriching user profiles using geo-social place semantics in geo-folksonomies

Geo-folksonomies link social web users to geographic places through the tags users choose to label the places with. These tags can be a valuable source of information about the user’s perception of place and can reflect their experiences and activities in the places they label. By analysing the associations between users, places and tags, an understanding of a place and its relationships with other places can be drawn. This place characterisation is unique, dynamic and reflects the perception of a particular user community that generated the geo-folksonomy. In this work, an approach is proposed to analysing geo-folksonomies that builds on and extends existing statistical methods by considering specific concepts of relevance to geographic place resources, namely, place types and place-related activities, and by building a place ontology to encode those concepts and relationships. The folksonomy analysis and evaluation are demonstrated using a realistic geo-folksonomy data set. The resulting ontology is used to build user profiles from the folksonomy. The derived profiles reflect the association between users and the specific places they tag as well as other places with relevant associated place type and activities. The methods proposed here provide the potential for many interesting and useful applications, including the harvesting of useful insight on geographic space and employing the derived user profiles to enhance the search experience and to identify similarities between users based on their association to geographic places.     

对就地养老的反思——“人”与“地方”关系视角①

在有关养老的老年学和地理学研究中,“就地养老”是一个广泛使用的概念,并一直被认为是解决老龄人口养老需求的有效政策手段。迄今为止,关于就地养老的研究主要关注了很多能够让老年人健康就地(或在家)养老的物质方面的因素,比如住房条件或家庭照护。有些老年学研究者们认识到,就地养老受到居住环境中实体环境和社会、情感因素的共同影响。但我们认为,在养老体验研究中,要更加深入地审视“人”和“地方”之间的复杂关系。特别是,我们主张就地养老成功的因素是地方具有维持良好关系的潜力。提到“地方(place)”一词的时候,人们过分局限于关注老年人身体上接近的地理空间,或是具有实体边界的地方,例如房子或社区。而我们通过回顾现有文献发现,对许多选择就地养老的人来说,更具有意义的是随着时间的推移,他们在不同空间尺度上所建立起来的多元的、网络化的社会和非社会关系。基于这个新的视角,可以更好地理解老年人与地方的多层次的联系,以及从不同尺度和不同类型的人与地方的关系来考察就地养老的意义。     

从“地方感”到“人地相处”——以广州天河体育中心公共休闲空间中的人地关系为例

从基于现象学路径的地方感研究引入,批判性地借鉴地方芭蕾概念,按照人地之间实际相处的亲疏程度不同,将广州天河体育中心公共休闲空间中的人地关系区分为三类：日常式相处、周期式相处、背景式相处。其中背景式相处的人地关系已经超越了地方芭蕾概念的解释边界,由此引发出如下两个值得进一步探讨的理论命题：第一,“人地整体”或“人地相处”或可取代人文主义地理学研究中用以刻画人地关系本质的“地方整体”概念;第二,目前主流的地方感研究实质上是一种基于心理学的局部的地方感研究,在它之外还应有一种围绕着人地相处的各种实际可能性来展开的整体的地方感研究,以及一种接近于哲学层次的人地关系基础研究。     

Location approximation for local search services using natural language hints

Local search services allow a user to search for businesses that satisfy a given geographical constraint. In contrast to traditional web search engines, current local search services rely heavily on static, structured data. Although this yields very accurate systems, it also implies a limited coverage, and limited support for using landmarks and neighborhood names in queries. To overcome these limitations, we propose to augment the structured information available to a local search service, based on the vast amount of unstructured and semi‐structured data available on the web. This requires a computational framework to represent vague natural language information about the nearness of places, as well as the spatial extent of vague neighborhoods. In this paper, we propose such a framework based on fuzzy set theory, and show how natural language information can be translated into this framework. We provide experimental results that show the effectiveness of the proposed techniques, and demonstrate that local search based on natural language hints about the location of places with an unknown address, is feasible.     

Spatial (re)organization and places of the Brao in southern Laos and northeastern Cambodia

Initiatives designed to bring about social and spatial change, whether implemented by governments, international agencies, nongovernment organizations or private companies, invariably have an impact on how people perceive ‘places’– defined as spaces with particular meanings. In southern Laos and northeastern Cambodia the ethnic Brao peoples are facing rapid social and spatial changes as a result of a wide range of initiatives, many of which are associated with ‘development’. Case studies on internal resettlement from the uplands to the lowlands, the redesigning of living spaces, and the implications of protected national park establishment and management are discussed in relation to a four‐point typology of what is required to constitute place. The role of social and spatial (re)organization on place amongst the Brao is considered, including how peoples' conceptions of place are being altered and how the Brao are variously responding to efforts to (re)organize them and reconstitute their places.     

Are all cities with similar urban form or not? Redefining cities with ubiquitous points of interest and evaluating them with indicators at city and block levels in China

Urban forms reflect spatial structures of cities, which have been consciously and dramatically changing in China. Fast urbanisation may lead to similar urban forms due to similar habits and strategies of city planning. However, whether urban forms in China are identical or significantly different has not been empirically investigated. In this paper, urban forms are investigated based on two spatial units: city and block. The boundaries of natural cities in terms of the density of human settlements and activities are delineated with the concept of ‘redefined city’ using points of interests (POIs), and blocks are determined by road networks. Urban forms are characterised by city-block two-level spatial morphologies. Further, redefined cities are classified into four hierarchies to examine the effects of different city development stages on urban forms. The spatial morphology is explained by urbanisation variables to understand the effects. Results show that the urban forms are spatially clustered from the perspective of city-block two-level morphologies. Urban forms tend to be similar within the same hierarchies, but significantly varied among different hierarchies, which is closely related to the development stages. Additionally, the spatial dimensional indicators of urbanisation could explain 41% of the spatial morphology of redefined cities.     

安徽省长江沿岸港口体系规模组合与空间结构分析

借助差异指数和罗化兹曲线等技术废划了安徽沿江港口体系规模组合与空间结构的地域差异特征;并运用多元回归分析方法探讨了该港口体系规模组合与空间结构地域差异的成因机制;最后在定性与定量上阐述了该港口体系规模组合与空间结构的动态演变规律。     

基于SoftGIS的土地利用地域性认同测度研究——以荷兰为例

在剖析地域性认同双重内涵及其与土地利用关系的基础上,结合SoftGIS技术,研究构建土地利用地域性认同测度方法,并以荷兰为例进行实证分析。数据分析显示,传统GIS数据可与土地利用认知数据相融合,基于核密度修正法构建的土地利用地域性认同指数可测度地域性认同的空间差异,应用于土地利用评价或规划决策。结论表明,测度平台在问卷设计和调查空间尺度上具有灵活性,数据收集快捷,通过平台的高清卫星地图定位,调查对象可反馈空间准确、情景真实的土地利用地域性认同信息。     

Incorporating spatial interaction patterns in classifying and understanding urban land use

Land use classification has benefited from the emerging big data, such as mobile phone records and taxi trajectories. Temporal activity variations derived from these data have been used to interpret and understand the land use of parcels from the perspective of social functions, complementing the outcome of traditional remote sensing methods. However, spatial interaction patterns between parcels, which could depict land uses from a perspective of connections, have rarely been examined and analysed. To leverage spatial interaction information contained in the above-mentioned massive data sets, we propose a novel unsupervised land use classification method with a new type of place signature. Based on the observation that spatial interaction patterns between places of two specific land uses are similar, the new place signature improves land use classification by trading off between aggregated temporal activity variations and detailed spatial interactions among places. The method is validated with a case study using taxi trip data from Shanghai.     

HUMAN IMPACTS ON THE ENVIRONMENT: UNPREDICTABILITY AND THE PRIMACY OF PLACE

Landscapes, environments, and ecosystems (i.e., places) are historically and spatially contingent and therefore unique. Generalizations and laws are based on “all other things being equal.” Owing to historical and spatial contingency, all other things are never completely equal and often do not approach that ideal closely enough to allow for reliable prediction. The problem is illustrated by examining effects of grazing and fire suppression on transitions between grass and woody vegetation communities. In three different environments in the southern United States (central Texas, southwestern Virginia, and eastern North Carolina), three different relationships exist between grazing and fire regime, and vegetation. Other examples are common in the geographic and environmental literature. This suggests that the search for a single applicable generalization or predictive model of a given human-induced environmental change that can be applied without accounting for the particular characteristics of places may be futile. Several general ways to address this issue are suggested. First is the recognition that place matters. Conditions specific to a location or region will influence what, how, or even if generalizations apply. Second is the adoption of a “demographic” approach. This is based on the idea that for places, like people, it is possible to make aggregate or probabilistic generalizations or predictions, but these cannot be applied to deterministic prediction of individuals. Third is a synoptic approach based on forecasting not via simple cause-effect relationships, but based on a typology of situations that recognizes and incorporates the unique characteristics of site and situation. Several converging threads of inquiry in geography and geosciences explicitly or implicitly address the issue of historical and spatial contingency. [Key words: landscape, environment, place, prediction.]     

北京城市认知的空间关联模式——城市地名认知率的空间分析

论文通过空间聚类分析方法,在基于认知率和位置关系划分认知地点类型、街道类型的基础上,讨论了北京城市地名认知率的空间差异性、基于地点-街道的空间认知关联模式,并得出三方面的结论.第一,北京城市空间认知差异性明显.从地点类型来看,城区南部中心城区和近郊区的认知率低且分布集中,东北部近郊区认知率低且离散性强,西部中心城区和近郊区认知率高且集中,东南中心城区认知率高且离散.从街道类型看,中心城区街道认知率高,外围街道认知率低,表现为中心-边缘结构.第二,各类型街道对23地点的认知率与距离之间表现为不同的结合型式,有近距离一低认知率型、近距离-高认知率型、中距离-中认知率型、远距离-低认知率型、远距离-高认知率型.不同结合型式中距离对认知率的影响因结合型式而异.第三,北京城市空间的认知曲线存在双峰,一峰表现为近距离、高认知率特征,具体位置随认知地点而异;另一峰表现为远距离、高认知率特征,主要是城市中心区认知地点.     

新疆交通可达性对区域经济的影响分析

采用Cobb-Douglas 生产函数模型, 结合GIS 空间分析的方法, 分析了交通可达性在区 域经济发展中对投资绩效的影响, 以及定量模拟了交通可达性在经济发展中的作用。研究结 果表明, 当交通可达性满足某一经济水平时, 区域经济发展主要取决于投资的规模, 但当交 通可达性小于与之对应的经济水平时, 它对投资绩效具有明显的制约作用。同时在一定经济 发展阶段, 交通可达性的波动与经济的波动之间具有显著的同步响应关系。另外, 新疆的交 通可达性具有明显的局部分异特征, 总体水平较低, 通过万元GDP 增长所需交通耗费分析 进一步表明, 这种分异特征与经济分布特征相一致。因此, 分析交通可达性对研究区域经济 具有重要意义, 对稳定、谐调、平衡发展区域经济, 划分主体功能区提供有力的依据。     

江南水乡游客满意度的多维度影响因素测量模型

以江南水乡实证为例,从资源价值维度、旅游功能维度、心理满足维度、场所环境维度、负面评价维度等5个维度,探讨江南水乡游客满意度的多维度影响因素。偏最小二乘法回归显示,就江南水乡这种特定类型的旅游地而言,各个维度的影响重要性依次是：资源价值维度（0.203）>场所环境维度（0.183）>旅游功能维度（0.179）>心理满足维度（0.173）>负面评价维度（0.072）。重要的实践指示意义在于,对不同类型的旅游地应该进行针对性的游客满意度测评,包括其多维度的影响因素设计,及其影响因素可能存在的不同影响重要性的组合顺序。