Critical distances: Comparing measures of spatial accessibility in the riverine landscapes of Peruvian Amazonia

Quantitative measures of accessibility are increasingly used in land cover change modeling and in assessing human pressure on the environment. In riverine Amazonia the significance of physical accessibility for biodiversity, land use patterns and economic livelihoods is widely acknowledged, but attempts to quantify accessibility in practice have been few in number. In this study we compare different distance- and frequency-based measures of spatial accessibility and develop a quantitative model of accessibility patterns for the north-eastern Peruvian Amazonia where rivers form the core of the transportation network. We model accessibility between the rural areas of the Loreto region and the capital city of Iquitos, using different distance algorithms in a geographic information system, and complement the distance model with information on river boat frequencies and transport capacities. Patterns of accessibility are visualized in terms of potential production zones for different types of agricultural and non-timber forest products.This study demonstrates how results from different accessibility measures vary considerably. The mean Euclidean distance to Iquitos is almost 270 km, the mean network distance nearly 760 km and the mean travel time 70 h. Observed network distances from validation points to Iquitos are on average 1.6 times longer than Euclidean distances, and for the whole study area, the average ratio between modeled network distances and Euclidean distances is 3.1. The correlation between network distances and time distances is very strong, but time distances are relatively shorter along the major channels where boat traffic is considerably faster than along narrow, tightly meandering rivers. Measures of boat frequency and transport capacity show that availability of transport possibilities is highly varying across the region. These measures provide insights into the ’thickness’ of trade, indicating the level of market integration for riverine settlements. We conclude that quantifying accessibility in an environment like Peruvian Amazonia requires measures that take into account the spatial structure and dynamic nature of the riverine transportation network. Time as a unit of distance provides the most relevant measure of accessibility in the Amazonian context, where many human actions and traditional livelihoods are controlled by travel times between the regional core and the hinterland.     

城市化与城市土地利用结构关系的协整检验与因果分析——以重庆市为例

采用协整检验和Granger因果关系分析法研究重庆市城市化发展和城市土地利用结构变化间的关系,结果表明,城市化和居住用地比例、工业用地比例、公共服务用地比例和绿地比例的时间序列是非平稳的,而其二阶差分具有平稳性;城市化对居住用地比例、工业用地比例、公共服务用地比例和绿地比例的OLS方程残差拒绝单位根,说明城市化和居住用地比例、工业用地比例、公共服务用地比例和绿地比例间存在均衡关系;城市化是居住用地比例、绿地比例变化的Granger原因;工业用地比例是城市化的Granger原因;城市化与公共服务用地比例之间Granger因果关系不明显。     

Toward space-time buffering for spatiotemporal proximity analysis of movement data

Spatiotemporal proximity analysis to determine spatiotemporal proximal paths is a critical step for many movement analysis methods. However, few effective methods have been developed in the literature for spatiotemporal proximity analysis of movement data. Therefore, this study proposes a space-time-integrated approach for spatiotemporal proximal analysis considering space and time dimensions simultaneously. The proposed approach is based on space-time buffering, which is a natural extension of conventional spatial buffering operation to space and time dimensions. Given a space-time path and spatial tolerance, space-time buffering constructs a space-time region by continuously generating spatial buffers for any location along the space-time path. The constructed space-time region can delimit all space-time locations whose spatial distances to the target trajectory are less than a given tolerance. Five space-time overlapping operations based on this space-time buffering are proposed to retrieve all spatiotemporal proximal trajectories to the target space-time path, in terms of different spatiotemporal proximity metrics of space-time paths, such as Fréchet distance and longest common subsequence. The proposed approach is extended to analyze space-time paths constrained in road networks. The compressed linear reference technique is adopted to implement the proposed approach for spatiotemporal proximity analysis in large movement datasets. A case study using real-world movement data verifies that the proposed approach can efficiently retrieve spatiotemporal proximal paths constrained in road networks from a large movement database, and has significant computational advantage over conventional space-time separated approaches.     

不同流视角下的贵州省空间网络结构及形成机制分析

基于手机通话和高速公路收费等实测大数据，以贵州省县级行政区域为基本单元，采用C-value和T-value分析、优势流分析和网络中心性分析的方法，探究贵州省不同流空间下的控制结构、层级结构和核心?边缘结构及其网络的形成机制。结果表明：① 贵州省在信息流和物质流空间下的控制结构大致相似，但控制节点存在差异。② 在信息流和物质流空间下，贵州省都形成了省会?地市（州）?县（市）的层级化网络结构。③ 与物质流空间相比，信息流空间下贵州省空间结构的中心化趋势得到加强，区域差异进一步的扩大。④ 区域间物质流和信息流都随距离的延伸而不断衰减，且地理、文化、产业和组织距离对区域间物质流的阻碍作用显著大于信息流。经济发展水平、基础设施水平和人口规模等区域主体属性也会对区域间的要素联系强度产生影响。     

A CO-ORDINATE SYSTEM FOR STUDYING INTERACTIONS IN THE PRIMARY CHRISTALLER LATTICE*

The co-ordinate system (x, y) for the triangular Christaller lattice is generalized by the addition of a third, dependent, z-axis. The extended system yields the lattice distances between lattice points, whereas the original system yields only the plane Euclidean distance.     

A density-based approach for detecting network-constrained clusters in spatial point events

Existing spatial clustering methods primarily focus on points distributed in planar space. However, occurrence locations and background processes of most human mobility events within cities are constrained by the road network space. Here we describe a density-based clustering approach for objectively detecting clusters in network-constrained point events. First, the network-constrained Delaunay triangulation is constructed to facilitate the measurement of network distances between points. Then, a combination of network kernel density estimation and potential entropy is executed to determine the optimal neighbourhood size. Furthermore, all network-constrained events are tested under a null hypothesis to statistically identify core points with significantly high densities. Finally, spatial clusters can be formed by expanding from the identified core points. Experimental comparisons performed on the origin and destination points of taxis in Beijing demonstrate that the proposed method can ascertain network-constrained clusters precisely and significantly. The resulting time-dependent patterns of clusters will be informative for taxi route selections in the future.     

东营石油装备制造业创新网络演化研究

采用社会网络分析方法,借助Ucinet、ArcGIS等软件工具,从多维邻近的视角出发,对东营石油装备业创新网络演化进行分析研究,研究发现：首先,多维邻近对东营创新网络发展产生了重要影响,且不同网络发展阶段（培育、起步、成长）主导的邻近因子不同。这一方面证实了Boschma多维邻近性的相关理论假说,另一方面指出多维邻近因子与东营创新网络演变的不同关联。其次,高校、大型国有企业是东营创新网络的知识源泉和组织者。中国石油大学（华东)、胜利油田集团企业发挥了主导作用,这与国外中小型创新企业发挥主导作用的情形有很大差异。     

A network Kernel Density Estimation for linear features in space–time analysis of big trace data

ABSTRACT

Kernel Density Estimation (KDE) is an important approach to analyse spatial distribution of point features and linear features over 2-D planar space. Some network-based KDE methods have been developed in recent years, which focus on estimating density distribution of point events over 1-D network space. However, the existing KDE methods are not appropriate for analysing the distribution characteristics of certain kind of features or events, such as traffic jams, queue at intersections and taxi carrying passenger events. These events occur and distribute in 1-D road network space, and present a continuous linear distribution along network. This paper presents a novel Network Kernel Density Estimation method for Linear features (NKDE-L) to analyse the space–time distribution characteristics of linear features over 1-D network space. We first analyse the density distribution of each linear feature along networks, then estimate the density distribution for the whole network space in terms of the network distance and network topology. In the case study, we apply the NKDE-L to analyse the space–time dynamics of taxis’ pick-up events, with real road network and taxi trace data in Wuhan. Taxis’ pick-up events are defined and extracted as linear events (LE) in this paper. We first conduct a space–time statistics of pick-up LE in different temporal granularities. Then we analyse the space–time density distribution of the pick-up events in the road network using the NKDE-L, and uncover some dynamic patterns of people’s activities and traffic condition. In addition, we compare the NKDE-L with quadrat method and planar KDE. The comparison results prove the advantages of the NKDE-L in analysing spatial distribution patterns of linear features in network space.     

高被引华人科学家知识网络的空间结构及影响因素

知识网络的空间结构特征与影响因素是经济地理学探讨的热点议题之一,以往研究侧重于产业案例的分析,主要关注国家和城市层面的知识网络,而对科学家等个人层面的网络研究较为缺乏。以2014—2015年全球高被引科学家为原始数据,筛选出高被引华人科学家,并基于Web of Science数据库,检索高被引华人科学家之间合著论文的数据构建知识网络,借助社会网络分析方法对高被引华人科学家知识网络的空间结构进行分析;并运用负二项回归模型,从地理邻近性、社会邻近性、制度邻近性3个维度,探讨高被引华人科学家知识网络的影响机制。研究发现：① 高被引华人科学家知识网络存在核心-边缘结构特征,且具有小世界网络的网络特征;② 此知识网络呈现“小集聚大分散”的空间结构特征,地理邻近性作用明显;③ 高被引华人科学家知识网络形成过程中会受到科学家自身科研能力等因素的影响,地理距离和科学家之间的联系呈现负相关关系,地理邻近性的影响仍然存在,社会邻近性和制度邻近性均对知识网络的形成有促进作用。     

Extending the conversation on socially engaged geographic visualization: representing spatial inequality in Buffalo,New York

This paper is situated at the intersections among GIS and geovisualization, critical social theory, and urban studies. It presents an analysis of housing segregation and unequal food and transportation access in Buffalo, New York. We demonstrate how the representation and examination of this socially complex multi-scalar issue benefits from deliberate, reflexive conversation between different critical social-spatial epistemologies. We begin with a relatively simple GIS analysis of spatial segregation and arrive through critical iteration at a more qualitatively nuanced cartogram which moves beyond representations of fixed space to reveal a much more relational situation—a case of “time-space expansion” in which the travel time needed to meet a basic daily need is much greater for the poor and people of color than it is for whiter, more affluent populations. We conclude by infusing this narrative with additional considerations from social theory to show how even a limited visualization such as ours might better critically engage broader social and discursive processes in and across urban space.     

A new mapping of the world for the new millennium

A new mapping of the world derived from connections between cities is presented as a complement to the traditional world map of countries. Under conditions of contemporary globalization world cities have emerged as global service centres. These have been created by the location strategies of leading corporate service firms (e.g. in accountancy) in setting up their global office networks. Data on the offices of 46 global service firms in 55 world cities are used to define service connections between cities. Connections are converted into measures of network proximity and a multidimensional scaling is applied to these 'distances' to create a 'global service space' of cities. This new mapping of the world shows a distinctive centric structure with the major world cities (e.g. London) at the core. Investigation of this general structure reveals more subtle patterns of interacting regional and hierarchical tendencies.     

A CO-ORDINATE SYSTEM FOR STUDYING INTERACTIONS IN THE PRIMARY CHRISTALLER LATTICE∗

The co-ordinate system (x, y) for the triangular Christaller lattice is generalized by the addition of a third, dependent, z-axis. The extended system yields the lattice distances between lattice points, whereas the original system yields only the plane Euclidean distance.     

A GIS toolkit for measuring and mapping space–time accessibility from a place-based perspective

This article introduces a novel geographical information system toolkit for measuring and mapping the accessibility of individuals to services. The toolkit contributes to earlier implementations by combining aspects of both place-based and person-based accessibility measures. To this end, place-based accessibility measures are derived from a person-based framework by considering space–time prisms that are centred at service facilities rather than individual anchor points. The implementation is also innovative by explicitly accounting for the opening hours of service delivery in its accessibility measurement. In addition, the toolkit is aimed to be user-friendly and to generate insightful and comprehensible results for non-technically oriented users, which is illustrated in a brief case study about library accessibility in Ghent (Belgium).     

Disparities in Spatial Accessibility of Pharmacies in Baton Rouge,Louisiana

This study examines spatial accessibility of pharmacies in Baton Rouge, Louisiana. Two popular geographic information systems (GIS)—based methods are compared: the proximity method uses the distance (travel time) from the nearest pharmacy, and the two‐step floating catchment area (2SFCA) method considers the match ratio between providers and population as well as the complex spatial interaction between them. The study indicates that disproportionally higher percentages of African‐Americans are in areas with shorter travel time to the nearest pharmacies than whites, but suffer from poorer accessibility measured by the 2SFCA method—that is, fewer pharmacies per 10,000 residents. Seniors, particularly those of seventy‐five years or older, tend to be disproportionally concentrated in areas that not only are closer to pharmacies, but also have more pharmacies per 10,000 residents. The two methods used in the study capture different elements in spatial accessibility: one being physically close to a facility and another adding the crowdedness in service. Both properties can be valuable for residents. The two may not always coincide with each other in spatial variability, as it is the case for racial disparity in our study area. However, when they do, as in the case for seniors, it may imply a true (dis)advantage for a demographic group in terms of both properties of spatial accessibility.     

基于高斯两步移动搜索法的沈阳市绿地可达性评价

基于高斯两步移动搜索法,进行沈阳市绿地可达性分析。在揭示研究区内绿地可达性空间格局的同时,探索这一新方法的实际应用价值。结果显示：① 沈阳市绿地可达性整体上具有北高南低、东高西低的空间分布特征,4 个高值区与3 个低值区可清晰识别;高值区域主要分布在核心城区的近外围,低值区域主要分布于核心城区与城市的西部及南部远郊。② 沈阳市绿地可达性空间格局十分不平衡,具有较强的空间极化特征,70%以上的街道绿地可达性低于全市平均水平,只有少数街道呈现较高的可达性,人口与绿地的空间不匹配是造成不平衡的主要因素。③ 根据可达性评价结果,提出了实施空间优化策略,促进绿地服务均等化的相关建议。该方法能够较好地揭示城市绿地系统与人口相互作用的规律,未来还应进一步与客观实际结合,使之更加具体化和实用化。     

长春市公共服务设施空间与居住空间格局特征

基于长春市790个居住小区、178所小学、301家社区医院、1681个公交站点等空间数据,引用核密度估计、Riley's K函数、同位区位商等分析方法,对公共服务设施空间与居住空间的形态格局、集聚特性、“临近性”关系等进行了定量分析。研究发现：首先,公共服务设施空间与居住空间分布的形态格局差异显著,同时也表现出较高的相关性,“核心—外围”网点数量的分布特征趋同性与分异性并存;其次,公共服务设施空间与居住空间均呈现出显著的集聚特征,但集聚的规模与强度差异明显,二者空间分布的协调性程度仍需提高;第三,从分布的空间关系来看,居住小区具有较为明显的“临近”公共服务设施布局的倾向,但反之不明显,整体呈现出空间格局的“非对称性”特征。     

中国城市群城市生产性服务功能与地理距离：网络外部性的视角

以往研究对于距离在网络外部性影响城市功能过程中的作用所知甚少,而且多关注城市网络外部性的正面效应,对城市间竞争以及由此所带来的网络外部性的负效应缺少分析。为了弥补已有研究的不足,本文采用空间的视角,以城市群内的城市生产性服务功能为例,建立一个核心-外围的空间结构来揭示城市生产性服务功能、网络外部性与地理距离之间的关系。研究发现：① 城市生产性服务功能强度随着远离城市群核心城市而上升,互联网渗透率和列车网络中心度会显著地强化这一效应;② 城市生产性服务功能随距离变化的机制在于竞争效应比协同效应对地理距离更加敏感,从而衰减更快,因而靠近核心城市的城市在生产性服务功能上遭受了“集聚阴影”,而远离核心城市的城市在功能上更多的受到了协同作用的支撑。本文结论为推进城市群内的分工协作与一体化发展提供了重要启示。     

Windowed nearest neighbour method for mining spatio-temporal clusters in the presence of noise

In a spatio-temporal data set, identifying spatio-temporal clusters is difficult because of the coupling of time and space and the interference of noise. Previous methods employ either the window scanning technique or the spatio-temporal distance technique to identify spatio-temporal clusters. Although easily implemented, they suffer from the subjectivity in the choice of parameters for classification. In this article, we use the windowed kth nearest (WKN) distance (the geographic distance between an event and its kth geographical nearest neighbour among those events from which to the event the temporal distances are no larger than the half of a specified time window width [TWW]) to differentiate clusters from noise in spatio-temporal data. The windowed nearest neighbour (WNN) method is composed of four steps. The first is to construct a sequence of TWW factors, with which the WKN distances of events can be computed at different temporal scales. Second, the appropriate values of TWW (i.e. the appropriate temporal scales, at which the number of false positives may reach the lowest value when classifying the events) are indicated by the local maximum values of densities of identified clustered events, which are calculated over varying TWW by using the expectation-maximization algorithm. Third, the thresholds of the WKN distance for classification are then derived with the determined TWW. In the fourth step, clustered events identified at the determined TWW are connected into clusters according to their density connectivity in geographic–temporal space. Results of simulated data and a seismic case study showed that the WNN method is efficient in identifying spatio-temporal clusters. The novelty of WNN is that it can not only identify spatio-temporal clusters with arbitrary shapes and different spatio-temporal densities but also significantly reduce the subjectivity in the classification process.     

Metrics for characterizing network structure and node importance in Spatial Social Networks

Social Network Analysis offers powerful tools to analyze the structure of relationships between a set of people. However, the addition of spatial information poses new challenges, as nodes are embedded simultaneously in network space and Euclidean space. While nearby nodes may not form social ties, ties may exist at a distance, a configuration ill-suited for traditional spatial metrics that assume adjacent objects are related. As such, there are relatively few metrics to describe these nuanced situations. We advance the burgeoning field of spatial social network analysis by introducing a set of new metrics. Specifically, we introduce the spatial social network schema, tuning parameter and the flattening ratio, each of which leverages the notion of ‘distance’ to augment insights obtained by relying on topology alone. These methods are used to answer the questions: What is the social and spatial structure of the network? Who are the key individuals at different spatial scales? We use two synthetic networks with properties mimicking the ones reported in the literature as validation datasets and a case study of employer–employee network. The methods characterize the employer–employee as spatially loose with predominantly local connections and identify key individuals responsible for keeping the network connected at different spatial scales.