FIRM HETEROGENEITY,MULTIPLANT CHOICE,AND AGGLOMERATION

We examine the organization and location choice of heterogeneous firms in a two‐region economy. When some high‐productivity firms engage in multiplant production, a reduction in transport costs causes two changes in a small region: the closure of plants by high‐productivity multiplant firms and the relocation of low‐productivity single‐plant firms to the region. In the presence of high‐productivity multiplant firms, therefore, a decline in transport costs reinforces the spatial sorting of firms by productivity, enlarging the productivity gap between large and small regions. Conversely, reducing investment costs weakens the spatial sorting effects on regional productivity disparities.     

Spatial and social mobility

This paper analyzes the relationship between spatial mobility and social mobility. It develops a two‐skill‐type spatial equilibrium model of two regions with location preferences where each region consists of an urban area that is home to workplaces and residences and an exclusively residential suburban area. The paper demonstrates that relative regional social mobility is negatively correlated with segregation and inequality. In the model, segregation, income inequality, and social mobility are driven by differences between urban and residential areas in commuting cost differences between high‐skilled and low‐skilled workers, and also by the magnitude of taste heterogeneity.     

Space–Time Sequential Similarity for Identifying Factors of Activity‐Travel Pattern Segmentation: A Measure of Sequence Alignment and Path Similarity

The article develops a new method that compares activity‐travel patterns in both terms of the sequential order of activities and the shape of activity‐travel trajectory in time and space. The similarity of the list of activities and their order between activity‐travel patterns are computed by a sequence alignment method. The shape of activity‐travel trajectory is compared between the patterns using a path similarity technique that captures the direction and speed of a movement from the current location and the duration of staying at each location. The comparison results, therefore capture how people move around in three‐dimensional space–time choreography that indicates how people conduct which activities in what order. A total of 1,000 individuals are sampled from the data of 2016 Household Travel Survey, South Korea. The data provide the information of individual activity‐travel behavior and personal characteristics. The suggested method computes the pairwise distance matrix, and Ward clustering algorithm segments the pattern groups of similar activity sequences and space–time trajectories. A CHAID analysis then associates personal and household characteristics with the pattern groups to identify important factors for the segmentation. The analysis provides a significant implication in both terms of research and practice in transportation.     

杭州市旅游资源空间分析及其整合

旅游资源是旅游区域空间竞争的基础,其空间分布及结构影响旅游区域的空间竞争。本文具箩分析了杭州市旅游资源的类型特征、等级特征和空间分布,用最邻近指数R对其分布形态进行了定量分析,并运用图论学中的有关拓扑指数对其空间结构进行了定量分析。针对目前杭州市旅游资源整体空间分专窖散,旅游交通网络回路指数低等问题,从3个方面提出了空间整合的方案：（1）从内容上整合;（2）从生态关系上整合;（3）从旅游交通线路上整合。     

flowAMOEBA: Identifying Regions of Anomalous Spatial Interactions

This study aims at developing a data‐driven and bottom‐up spatial statistic method for identifying regions of anomalous spatial interactions (clusters of extremely high‐ or low‐value spatial flows), based on which it creates a spatial flow weights matrix. The method, dubbed flowAMOEBA, upgrades a multidirectional optimum ecotope‐based algorithm (AMOEBA) from areal data to spatial flow data through a proper spatial flow neighborhood definition. The method has the potential to dramatically change the way we study spatial interactions. First, it breaks the convention that spatial interaction data are always collected and modeled between spatial entities of the same granularity, as it delineates the OD region of anomalous spatial interactions, regardless of the size, shape, scale, or administrative level. Second, the method creates an empirical spatial flow weights matrix that can handle network autocorrelation embedded in spatial interaction modeling, thus improving related policy‐making or problem‐solving strategies. flowAMOEBA is tested and demonstrated on a synthetic data set as well as a county‐to‐county migration data set.     

p‐Functional Clusters Location Problem for Detecting Spatial Clusters with Covering Approach

Regionalization or districting problems commonly require each individual spatial unit to participate exclusively in a single region or district. Although this assumption is appropriate for some regionalization problems, it is less realistic for delineating functional clusters, such as metropolitan areas and trade areas where a region does not necessarily have exclusive coverage with other regions. This paper develops a spatial optimization model for detecting functional spatial clusters, named the p‐functional clusters location problem (p‐FCLP), which has been developed based on the Covering Location Problem. By relaxing the complete and exhaustive assignment requirement, a functional cluster is delineated with the selective spatial units that have substantial spatial interaction. This model is demonstrated with applications for a functional regionalization problem using three journey‐to‐work flow datasets: (1) among the 46 counties in South Carolina, (2) the counties in the East North Central division of the US Census, and (3) all counties in the US. The computational efficiency of p‐FCLP is compared with other regionalization problems. The computational results show that detecting functional spatial clusters with contiguity constraints effectively solves problems with optimality in a mixed integer programming (MIP) approach, suggesting the ability to solve large instance applications of regionalization problems.     

Location and Growth in the Brazilian Northeast

Abstract Clustering of economic performance across jurisdictions has generated considerable research on the spillovers and linkages among geographical neighbors. Much of this work, however, has been aspatial, implying that the influence of location attributes on growth has been largely ignored. In this paper, we examine the contribution of location to regional economic growth using municipio‐level data for the Brazilian Northeast—a historically lagging region of the country. We test if productivity among northeastern municipios is converging to a steady state and whether spatial externalities are linked to productivity growth in individual municipios. We find that, conditional on structural characteristics, productivity among municipios is converging at about 3 percent per year. Further, productivity in individual municipios is positively associated with own‐structural characteristics but negatively associated with productivity growth in neighboring municipios. This means that there are negative spatial externalities coming from productivity improvements in neighboring regions.     

SPATIAL DIFFERENTIATION OF POPULATION DEVELOPMENT IN A DECLINING REGION: THE CASE OF SAARLAND

We increasingly understand the causes of population decline: these can be, among others, processes of deindustrialization, decreasing fertility or the succession of a city through the stages of urban life as the city matures. However, we are still insufficiently able to explain why differences still exist between cities within regions experiencing the same macro‐processes and between cities of the same “level of maturity”. This research addresses this intra‐regional differentiation in population development in the declining former mining region of Saarland (Germany). Quantitative and qualitative analysis reveals that the differentiation in current decline stems from (1) the differentiated population development trajectories of the past, with a massive population boom followed by an aged and declining population in the industrial municipalities; and (2) the spatial distribution of amenities over the region; and (3) the spatial distribution and accessibility of housing opportunities steering migration flows. The latter are not necessarily concentrated in those areas that are attractive. Rather, the distribution of these housing opportunities strictly follows the planning logic of the supra‐local institutional framework, with a concentration of housing within easy access of major transportation infrastructure and in larger centres. The case study thus reveals that the mechanisms behind this intraregional differentiation are much more complex than often portrayed in the urban development and decline debate.     

解析我国主体功能区划基本问题

对国土进行主体功能区划,是我国区域研究与区域开发的新进展,也是理论和实践的创新,有许多新问题需要去探索。研究从基本概念、基本思路、基本方法和实施机制应四个方面探讨了我国国土主体功能区划的基本问题,从而界定了主体功能区划的概念,提出了逐级分摊、层层汇总和相互校核三种划分思路,讨论了划分的层次和空间单元大小、定性与定量的关系、指标的选取、域值的确定等划分方法问题,总结了以经济发展质量为主题和以环境建设质量为主题的两套政府绩效评价体系和政策实施中的社会公平问题。     

Lost in Translation: Cross-Cultural Experiences in Teaching Geo-Genealogy

This paper reports on a cross-cultural outreach activity of the current UK ‘Spatial Literacy in Teaching’ (SPLINT) Centre of Excellence in Teaching and Learning (CETL), a past UK Economic and Social Research Council (ESRC) grant, and shared interests in family names between Japanese and UK academics. It describes a pedagogic programme developed for Japanese postgraduates and advanced undergraduates that entailed quantitative and qualitative analysis of the spatial distributions of Japanese family names. The authors describe some specific semantic, procedural and theoretical issues and, more generally, suggest how names analysis provides a common framework for engaging student interest in GIS.     

湖北巴东高桅子遗址2004年发掘简报

高桅子遗址本次发掘共分5个地点,地层堆积多属明清时期,发现六朝、唐代墓葬各1座,清末房基2座。出土及采集遗物有石、陶、瓷、铜、铁器等。六朝墓为岩坑石椁券顶墓,墓内残存的青瓷钵、铜五铢钱、铁削刀等表明其年代当属晋代;唐墓以六朝墓室为墓圹,随葬的青瓷注壶采用模印贴花技法施釉下褐彩的装饰方法乃中唐时期长沙窑的特点;清末2座连间房基的选址、朝向、布局、结构及营造法式等,在峡江地区均有其代表性。     

Conflict in Pre‐Hispanic Northwest Argentina: Implications Arising From Human Bone Trauma Patterns

The time span ranging from ca. 900 to 1450 A.D. in the South‐Central Andes has been traditionally posited as a period of social unrest, political disintegration and large‐scale conflict due to, primarily, environmental causes. However, the osteological record of traumatic injuries in a sample of 223 adult and subadult crania from different areas of Northwest Argentina does not clearly correspond to the expected scenario of pervasive and formalized armed attacks. Cranial trauma prevalence in the sample is low (17.48%), and no statistically significant differences were met between the sexes. No differences were found when comparing trauma prevalence between settlements or regions, suggesting that location or function of the sites may not have influenced in trauma frequencies. This information more comfortably agrees with a scenario of conflict where several sources of violence may have caused the record of traumatic injuries (i.e. raids, ambushes, etc). These results serve to problematize how conflict is expected to be expressed in the archaeological record, especially in osseous human remains, what sources of violence may have generated the traumatic patterns observed and the intensity of conflict in this region in particular and in the pre‐Hispanic Andes in general. Copyright © 2014 John Wiley & Sons, Ltd.     

MODELING SPATIAL AUTOCORRELATION IN SPATIAL INTERACTION DATA: AN APPLICATION TO PATENT CITATION DATA IN THE EUROPEAN UNION*

ABSTRACT Spatial interaction models of the gravity type are widely used to model origin–destination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterize an origin region of a flow, variables that characterize a destination region of a flow, and finally variables that measure the separation between origin and destination regions. This paper outlines and compares two approaches, the spatial econometric and the eigenfunction‐based spatial filtering approach, to deal with the issue of spatial autocorrelation among flow residuals. An example using patent citation data that capture knowledge flows across 112 European regions serves to illustrate the application and the comparison of the two approaches.     

基于城乡能量对比的城市空间扩展规律研究——以无锡市为例

城市空间不断向乡村空间的扩展本质是城乡能量在城乡过渡区相互作用的空间反映,城乡能量是指城乡要素作用在城乡过渡区的强度。本文以江苏省无锡市为案例,采用适用于复杂系统的统计能量分析方法作为定量分析工具构建能量测度模型,测度无锡市1984、1991、1997、2001和2005年5个时期城乡要素能量和综合能量,揭示出城市空间扩展主导方向并非沿着城乡过渡区中区位条件好、城市性较强地域方向延伸,而是指向城乡过渡区中乡村性明显的地域;城乡过渡区的小城镇成为城市空间扩展的重要推动力量,与中心城区一起推动城市性要素流动。     

Nonparametric Significance Test for Discovery of Network‐Constrained Spatial Co‐Location Patterns

Spatial co‐location patterns are useful for understanding positive spatial interactions among different geographical phenomena. Existing methods for detecting spatial co‐location patterns are mostly developed based on planar space assumption; however, geographical phenomena related to human activities are strongly constrained by road networks. Although these methods can be simply modified to consider the constraints of networks by using the network distance or network partitioning scheme, user‐specified parameters or priori assumptions for determining prevalent co‐location patterns are still subjective. As a result, some co‐location patterns may be wrongly reported or omitted. Therefore, a nonparametric significance test without priori assumptions about the distributions of the spatial features is proposed in this article. Both point‐dependent and location‐dependent network‐constrained summary statistics are first utilized to model the distribution characteristics of the spatial features. Then, by using these summary statistics, a network‐constrained pattern reconstruction method is developed to construct the null model of the test, and the prevalence degree of co‐location patterns is modeled as the significance level. The significance test is evaluated using the facility points‐of‐interest data sets. Experiments and comparisons show that the significance test can effectively detect network‐constrained spatial co‐location patterns with less priori knowledge and outperforms two state‐of‐the‐art methods in excluding spurious patterns.     

边境区位、边境区经济合作的理论与实践--以辽宁省-朝鲜边境地区经济合作为例

欧洲和北美的实践表明,边境地区经济合作具有推动经济全球化和区域经济一体化的作用,同时,经济全球化和区域经济一体化又促进了边境地区经济合作的发展。本文从边境区位的理论分析入手,探讨了边境区位再创造问题,并分析边境区位再创造与边境区经济合作的内在联系。最后,对辽宁省和朝鲜之间边境区经济合作做了实证研究。     

Regional and transnational spatial planning1: problems today,perspectives for the future

This introductory contribution presents some results of the EURBANET project, dealing with European urban networks in the framework of the INTERREG IIC programme of the North‐western Metropolitan Area (NWMA). This project was conducted between 2000 and 2001 by researchers of Delft University of Technology, the University of Glasgow, the University of Dortmund, the Catholic University of Leuven and the University of Nijmegen. The central objective of the EURBANET project was to explore the role of polynucleated urban regions in the reinforcement of the competitive strength and quality of life in the NWMA, as a contribution to transnational spatial planning in the NWMA. Four polynuclear urban regions are involved: Randstad Holland, the Flemish Diamond, the RheinRuhr Area and Central Scotland (Glasgow‐Edinburgh region). One of the conclusions is that it is necessary to move between scales: from the European Union to national spatial policies (and vice versa), between national policies and regional spatial policies and between regional and urban spatial policies. At each scale, specific demands for spatial planning policies in polynuclear urban regions are becoming increasingly relevant. This is a challenge for spatial policies and policy domains like infrastructure policy, transport policy, housing policy, economic and environmental policy. We present an analysis of how polycentricity has become central to recent discussions on European and north‐west European spatial and economic planning. We launch a spatial network approach to integrate spatial policies. These wide perspectives contrast heavily with the current less satisfactory practice of spatial planning on the level of urban networks and transnational governance.     

Microscopic configurations on the bare‐bone surfaces of mammalian synovial joints

The smoothness characteristic of synovial joint surfaces of bare bones is shown to be an illusion; low‐power microscopy of young adult human bones from interments revealed, on the surfaces of a variety of synovial joints, a system of basically hemispherical elevations, often united as short chains or groups. This system was also found on joints of a variety of species of six mammalian orders. Under the higher magnification of scanning electron microscopy (SEM), many elevations had a pit at their summits. The bare‐bone surfaces of synovial joints have a thin covering of mineralized cartilage, including its mineralizing‐front, which survives taphonomic processes, as well as the preparative procedures used in the study of articular surfaces. In its formative phase, the front has the chondrocyte–columnar structure of cartilage. It is postulated here that the newly‐discovered elevations arise when cartilage formation is ceasing, or becoming dormant, and that each column‐unit produces a globular mineralized mass, often with a pit which had accommodated a chondrocyte. These masses may incorporate the fibre systems of the unmineralized cartilage and aid in its attachment to the bony surface. Copyright © 2001 John Wiley & Sons, Ltd.     

EXTENDING A SMOOTH PARAMETER MODEL TO FIRM LOCATION ANALYSES: THE CASE OF NATURAL GAS ESTABLISHMENTS IN THE UNITED STATES

This paper extends recent developments in regional growth modeling that use spatial regime switching functions to a count regression model of firm location events. The smooth parameter count model (SPCM) allows for a parsimonious parameterization of locally varying coefficients while simultaneously attending to excess‐zero count events. An empirical application examines natural gas establishment growth between 2005 and 2010. The smooth parameter model appears to outperform a standard zero‐inflated count model. The SPCM may be extended to the location analysis of other industries with the identification of transition variables related to the supply or demand oriented cost structure of the sector.