Assessing the Cluster Correspondence between Paired Point Locations

Some complex geographic events are associated with multiple point locations. Such events include, but are not limited to, those describing linkages between and among places. The term multi‐location event is used in the paper to refer to these geographical phenomena. Through formalization of the multi‐location event problem, this paper situates the analysis of multi‐location events within the broad context of point pattern analysis techniques. Two alternative approaches (Vector autocorrelation analysis and cluster correspondence analysis) to the spatial dependence of paired‐location events (i.e., two‐location events) are explored, with a discussion of their appropriateness to general multi‐location event problems. The research proposes a framework of cluster correspondence analysis for the detection of local non‐stationarities in the spatial process generating multi‐location events. A new algorithm for local analysis of cluster correspondence is proposed. It is implemented on a large‐scale dataset of vehicle theft and recovery location pairs in Buffalo, New York.     

基于高速公路交通流的江苏省城市空间关联特征

在江苏省高速公路网络2012年12月OD流量数据和通行时间数据支撑下,本文从县市尺度出发,在对城市空间关联的节点、路径和组团等要素分析基础上,尝试勾绘关联特征的基本图示。结论如下:①城市节点分布有一定的等级性,且节点重要性本身与其社会经济发展状况或在高速公路的功能定位有关。②单一组团或近邻组团以"中心城市+关联节点"进行关联,且城市间的通行时间基本在1小时内,而中长距离的双核心或多核心的组团则以中心城市作为联系基轴建构,且通行时间在1-3小时之间。③综合节点、路径和组团等要素勾绘的城市关联特征模式包含苏北系统、跨江系统和苏南系统,且该模式昭示以"多板块协同发展"的思路规划区域发展战略可作为优先考虑的方案。     

南京市对外交通节点与酒店之间游客流动空间特征分析

利用旅游攻略数据,构建关系网络,探讨南京市对外交通节点与酒店之间游客流动这一特殊旅游流的空间特征,研究表明:1在节点方面,酒店的流入度、流出度和中心度均呈现出较为明显的圈层结构,高数值区域分布在城市中心的南北两端,外围区域数值较低,游客选择的酒店集中于夫子庙街道、健康路街道、梅园新村街道、玄武门街道;对外交通节点中,南京火车站中心度最高,铁路在南京旅游对外交通中作用突出。2在网络方面,随着流量阀值增加,整个网络的连通性不断增强,且流量分布更加均衡;核心对外交通节点与酒店集中分布街道在整个网络中起着重要的支配作用。3游客选择酒店并非集聚在对外交通节点周边,距离在酒店选择中所起作用不强,而与景点空间分布存在较强相关性。     

Comment réorganiser le réseau postal suisse? Une application de l'aide à la décision territoriale

How to reorganize the Swiss postal network? A case study of spatial decision making‐support. This article presents a case study of spatial decision making‐support in relation to the Swiss Post and its efforts to reorganize the postal network in eight Swiss cities. The first part of the article describes the methodology and highlights selected original elements used in the processing of geographic information (spatial analysis and multi‐criteria analysis). The second part, more analytical, examines the process used to apply the method defined in the previous section. Based on a constructivist approach of decision‐support, it explores the modes of interaction between available information and decision makers. The analysis shows that the decision maker is relatively difficult to identify since the decision making process includes a set of partial and dependent decisions that are taken by a diversity of people. In conclusion, geographic information played an important role, not only on the decision, but mainly in allowing decision makers to better understand spatial complexity     

基于网络分析的交通网络评价及其与区域经济发展关系研究

以网络分析为基础,使用节点连通性和可达性等指标,评价研究甘肃省的交通网络以及交通网络与区域经济发展之间的内在关系,提出了平均经济--网络直径概念、功能及其计算方法。研究结果表明,节点连通性和可达性指标与区域经济发展水平具有密切的相关性,且跨区域交通对区域经济发展的贡献率大于仅邻域交通对区域经济发展的贡献率;使用节点连通性和可达性指标可界定出各区域经济之间的空间相互作用范围,为整个区域的交通规划和经济区划提供有力的科学依据;甘肃省交通呈聚团模式,具有空间自相关性。     

Modeling Bikeability of Urban Systems

There are characteristics of urban transportation infrastructure that are thought to influence use by bicyclists given their perceived effect on safety, comfort, and efficiency. Prior research has primarily focused on assessing the qualities of individual road segments and analysis of one or a few routes connecting pairs of origins and destinations (ODs). To address these limitations, a multicriterion shortest path framework is proposed for evaluating the characteristics of alternative routes and measuring their tradeoffs with respect to three routing objectives. A label correcting algorithm is described for identifying the complete set of routes optimizing the three objectives and metrics are developed to summarize variations in bikeability within an urban environment. The proposed methods are applied to a case study involving 27,722 urban ODs, yielding 329,931 paths optimal with respect to some combination of the three routing objectives. In particular, 77,418 paths (23.5%) were found to optimize one or more of the three individual routing objectives while 252,513 paths (76.5%) were found to optimize some tradeoff among the three routing objectives. This large number of Pareto‐optimal tradeoff paths underscores the importance of not limiting analysis of routing alternatives to one or two individual objectives.     

EMPIRICAL IMPLICATIONS OF ADVANCES IN CANONICAL THEORY*

Canonical correlation has seen growing acceptance in geographical research as a tool for analysing the interrelationships between two sets of variables.¹ It provides a natural extension to the multivariate case of simple correlation analysis introduced into the discipline in the fifties for measuring the degree of areal association between two individual variables.² It has also proved valuable for forging a link between traditional geographic variables measuring the attributes of places and those indicating interactions among them.³ Recently, major developments in canonical theory have occurred which provide two major benefits for geographical research.⁴ First, asymmetrical regression relationships in addition to symmetrical correlation relationships between two variable sets can be determined. Researchers can use canonical regression to examine the degree to which one variable set is capable of predicting the other, in addition to canonical correlation which examines the symmetrical interrelationships between the two.⁵ Secondly, much improved methods are available for measuring the number, strength, and nature of the interrelationships between the two variable sets, and for assessing the adequacy of the canonical model in general.⁸ The purpose of this paper is to provide an overview of these developments and, more particularly, to explore their implications for the validity of empirical results obtained in earlier applications of canonical analysis. This is not intended as a criticism of these studies but rather as an attempt to further our understanding of spatial structure and process through re-examination of existing data in the light of refined techniques.     

An Introduction to the Network Weight Matrix

This study introduces the network weight matrix as a replacement for the spatial weight matrix to measure the spatial dependence between links of a network. This matrix stems from the concepts of betweenness centrality and vulnerability in network science. The elements of the matrix are a function not simply of proximity, but of network topology, network structure, and demand configuration. The network weight matrix has distinctive characteristics, which are capable of reflecting spatial dependence between traffic links: (1) elements are allowed to have negative and positive values capturing the competitive and complementary nature of links, (2) diagonal elements are not fixed to zero, which takes the self‐dependence of a link upon itself into consideration, and (3) elements not only reflect the spatial dependence based on the network structure, but they acknowledge the demand configuration as well. We verify the network weight matrix by modeling traffic flows in a 3 × 3 grid test network with 9 nodes and 24 directed links connecting 72 origin‐destination (OD) pairs. Models encompassing the network weight matrix outperform both models without spatial components and models with the spatial weight matrix. The network weight matrix represents a more accurate and defensible spatial dependency between traffic links, and offers the potential to augment traffic flow prediction.     

Vector Autoregression (Var) — An Approach to Dynamic analysis of Geographic Processes

Vector autoregression (VAR) is a widely used econometric technique for multivariate time series modelling. This paper shows that with several very attractive features, VAR may also provide a valuable tool for analysing the dynamics among geographic processes and for spatial autoregressive modelling. After a brief discussion of the VAR approach, a VAR model for the dynamics of the US population between 1910 and 1990 is estimated and interpreted to illustrate the techniques. The VAR makes it possible to view the interactions among the four variables used in the model (total population, birth rate, immigration and per capita GNP) more adequately. The paper then discusses recent developments in the VAR methodology such as Bayesian vector autoregression (BVAR), spatial prior for regional modelling and cointegration, as well as the limitations and problems that arise from the application of VARs.     

Inter‐person Separation: A New Objective Standard for Evaluating the Spatial Fairness of Political Redistricting Plans

The fundamental basis for territorial political representation is the presumption that people share greater common interests with others in closer geographic proximity than with people farther away. This principle is found in U.S. legal requirements that districts for the House of Representatives and state legislatures should not needlessly divide “communities of interest” and should be “reasonably compact.” We propose a new objective standard to evaluate spatial fairness of redistricting plans: the extent to which a delineation minimizes total distance between all pairs of people assigned to the same district. To date, the legal standard of compactness has primarily been thought of in terms of the shapes of political districts, but boundary shape may have little correspondence with how populations are actually clustered and dispersed. Inter‐person separation, by contrast, provides a direct, intuitive metric for evaluating the congruence of districting plans with the territorial basis of political representation. To operationalize an inter‐person separation standard, we propose a model and present a heuristic method for delineating comparator districting schemes. We apply the standard to the current U.S. Congressional Districts in the states of Arizona and North Carolina to demonstrate how inter‐person separation could be used to develop and vet future redistricting plans.     

GEOGRAPHY'S SPATIAL PERSPECTIVE AND THE PHILOSOPHY OF ERNST CASSIRER

O ne of the distinctive features of geographic research is the spatial perspective which is manifested in the geographic literature through the use of a wide variety of spatial concepts. Until the recent work of phenomenological geographers, the variety of concepts used by geographers conformed to the ideals of a scientific geography in that they referred to measurable relations between phenomena. The relations may be directly measurable, such as the highway distance between Los Angeles and San Diego, or they may be indirectly measurable, such as an individual's perception of the distance between the same two cities. This interest in both objective as well as perceived spatial relationships illustrates the expanded scope of geography's spatial perspective, which has resulted in an increase in the number of spatial concepts of significance to geographers and a proliferation of the meanings given to the traditional spatial concepts of geography.     

云南省旅游线路网络与空间结构特征

以云南省目的地网络为例,基于社会网络分析视角和方法,收集团队线路报价单和自助游客网络游记,构建旅游线路整体网和个体网评价指标体系,探讨其网络结构与空间结构特征。结果发现:①云南旅游线路网络密度较低,发展不均衡,存在明显的核心-边缘结构;昆明居绝对核心地位,大理、丽江、西双版纳、迪庆、保山具有一定的网络竞争优势,其余目的地网络地位较低。②线路网络空间分布呈现"西密东疏、北密南疏"的整体特征,空间流向表现为对热点旅游线路节点明显的集聚特性。③每个个体网节点之间依托旅游线路关系都可形成一个独立闭合的回路,方便旅游者依据各个体网结构特征结合节点具体的地理位置,选择合适的门户、中转和离境目的地。     

ART‐P‐MAP Neural Networks Modeling of Land‐Use Change: Accounting for Spatial Heterogeneity and Uncertainty

Spatial land‐use models over large geographic areas and at fine spatial resolutions face the challenges of spatial heterogeneity, model predictability, data quality, and of the ensuing uncertainty. We propose an improved neural network model, ART‐Probability‐Map (ART‐P‐MAP), tailored to address these issues in the context of spatial modeling of land‐use change. First, it adaptively forms its own network structure to account for spatial heterogeneity. Second, it explicitly infers posterior probabilities of land conversion that facilitates the quantification of prediction uncertainty. Extensive calibration under various test settings is conducted on the proposed model to optimize its utility in seeking useful information within a spatially heterogeneous environment. The calibration strategy involves building a bagging ensemble for training and stratified sampling with varying category proportions for experimentation. Through a temporal validation approach, we examine models’ performance within a systematic assessment framework consisting of global metrics and cell‐level uncertainty measurement. Compared with two baselines, ART‐P‐MAP achieves consistently good and stable performance across experiments and exhibits superior capability to handle the spatial heterogeneity and uncertainty involved in the land‐use change problem. Finally, we conclude that, as a general probabilistic regression model, ART‐P‐MAP is applicable to a broad range of land‐use change modeling approaches, which deserves future research.     

A Geographic Network Automata Approach for Modeling Dynamic Ecological Systems

Landscape connectivity networks are composed of nodes representing georeferenced habitat patches that link together based on a species’ maximum dispersal distance. These static representations cannot capture the complexity in species dispersal where the network of habitat patch nodes changes structure over time as a function of local dispersal dynamics. Therefore, the objective of this study is to integrate geographic information, complexity, and network science to propose a novel Geographic Network Automata (GNA) modeling approach for the simulation of dynamic spatial ecological networks. The proposed GNA modeling approach is applied to the emerald ash borer (EAB) forest insect infestation using geospatial data sets from Michigan, U.S.A. and simulates the evolution of the EAB spatiotemporal dispersal network structures across a large regional scale. The GNA model calibration and sensitivity analysis are performed. The simulated spatial network structures are quantified using graph theory measures. Results indicate that the spatial distribution of habitat patch nodes across the landscape in combination with EAB dispersal processes generate a highly connected small-world dispersal network that is robust to node removal. The presented GNA model framework is general and flexible so that different types of geospatial phenomena can be modeled, providing valuable insights for management and decision-making.     

CLASSIFYING PHYSICAL GEOGRAPHIC FEATURES: THE CASE OF MANINKA FARMERS IN SOUTHWESTERN MALI

This article argues that understanding how people classify physical geographic features is necessary for identifying fundamental, cross‐cultural geographic concepts that are required for successful communication of geographic knowledge. Academic geographers have not given sufficient attention to systems of local geographic knowledge, even though promising theoretical frameworks exist, particularly in the field of ethnoecology. However, the research approach that has characterized ethnoecology is insufficient to develop ethnogeography as a field of inquiry, because ethnoecologists have overemphasized limited aspects of local knowledge systems, such as soils, which has often led researchers to incompletely sample local knowledge systems. Using ethnographic methods, this article analyses the content and structure of physical geographic knowledge in the Maninka language as spoken in southwestern Mali, and compares Maninka knowledge to that of other cultural groups. The results suggest that broad physical geographic concepts may be shared pan‐environmentally, but that most physical geographic knowledge is contained in culturally specific classifications embedded within a broad cross‐cultural framework. Academic geographers should expect only broad correspondence between their categories of physical geographic variation and those of people who classify biophysical features according to local knowledge systems. Finally, this article also shows that ethnoecological research will be advanced if geographic theories of place are given more prominence in ethnoecological studies.     

中国重点城市入境旅游空间关联网络特征及优化

基于社会网络分析方法论视角,研究了中国12个重点城市入境旅游空间网络的节点结构特征和整体结构特征,并提出了旅游空间网络结构优化相关策略。结果发现:(1)重点城市入境旅游网络节点间共有46对旅游流联系,每个节点平均与其它3.83个节点存在着旅游流集聚和扩散联系,且充当旅游网络中介者角色的平均次数为8.25次;(2)北京和上海在入境旅游空间网络中居核心地位,西安、广州和杭州居次核心,其余城市的网络地位较低;(3)重点城市入境旅游的整体网络密度较低,不均衡性较明显。最后,提出优化重点城市入境旅游网络结构的相关策略。     

Minimum-Cost Distances in Spatial Analysis

An axiomatic approach to distance is developed which focuses on those behavioral concepts of distance related to movement in space. In particular, spatial movement by behaving units is postulated to involve a choice from among some set of abstract trips in space, and implicitly, to involve the minimization of some relevant notion of trip costs. In this context, the relevant behavioral notion of distance in space is taken to be the minimum-cost distance generated by this choice process. These trip-cost concepts extend the classical notions of paths, path lengths, and shortest paths in metric spaces. Hence many of the analytical results of the paper involve extensions of classical shortest-path distance properties to minimum-cost distances. In addition to these extensions, a characterization theorem is given which specifies the possible functional relationships between trip costs and their associated path lengths. These relationships include most functional forms which are commonly employed in the literature.     

Note on draft plan For institute of geography

A number of measures of accessibility are applied to the road and transport networks of the N.W. Highlands and Islands. The concept of ‘accessibility’ is interpreted at the regional scale and in a physical, rather than a behavioural, sense. Although other indices are briefly mentioned, three basic approaches are examined in greater detail: travel timings from a central point, shortest paths through the network between every pair of nodes, and potentials. From all the methods discussed, there is a large degree of consensus on the spatial patterns of accessibility in the region.     

中国地理学对乡村发展的多元视角研究及思考

乡村发展是一个综合性和复杂性的问题,具有多元化的观察视角。本研究从地理学出发,选取空间、转型、功能、制度四个视角,对当代中国乡村发展研究的现状进行系统化梳理,并分别对四个视角下的研究内容进行评述,发现我国地理学研究呈现多元视角融合的趋势,且存在缺少多元理论指导、对城乡关系关注不足的共性问题。基于此,结合国内外乡村发展研究最近成果及我国实情,尝试提出中国地理学对乡村未来发展研究的导向：推进城乡一体化为导向的乡村空间重构研究、加强新型城镇化背景下的城乡发展网络研究、加强城乡统筹理念下的乡村多元发展路径研究、推进城乡等值化理论指导下的乡村规划和管理研究。     

Maps of Interrelations and their Application in Geographic Research

The basic problem of statistical indicators of the degree of correspondence between geographic phenomena is that they are not sufficiently differentiated from place to place. There is a need for special maps of interrelations showing the correspondence of spatial distribution of two or more related phenomena. Five techniques are proposed: (1) The delimitation of regions distinguished by varying degrees of correspondence; (2) the compilation of cartograms of interrelations; (3) the compilation of maps of isocorrelates; (4) the compilation of maps of deviation from a regression; (5) the compilation of contour-entropy maps. The author thus expands on the 1957 paper of Robinson and Bryson on a method for describing quantitatively the correspondence of geographical distributions.