地图投影与全球地缘政治分析:一种空间认知的视角

地缘政治分析离不开地图。在全球地缘政治分析中,作为世界地图基本空间框架的地图投影通过变形为人们架起了一座"认知的桥梁"--一种空间认知的视角,包括结构、中心方位、距离和面积四种认知。它们在人脑中组合成世界意象地图,为全球地缘政治分析营造了一个多维的空间思维条件。世界观念研究、地缘动态研究,地区研究和全球性问题研究都离不开全球地图投影。总之,地图投影对于国际关系研究具有重要价值。     

REGIONAL INCOME EVOLUTION IN SOUTH AFRICA AFTER APARTHEID*

ABSTRACT South Africa is one of the wealthiest countries on the African continent. The high national level (and growth) of GDP per capita, however, masks significant differences in economic performance across South Africa's regions. This paper uses (spatial) Markov chain techniques to describe the evolution of the entire cross‐section regional income distribution in terms of its intra‐distributional characteristics during the post‐Apartheid period. The results indicate a heavily diverging regional income distribution. Relatively poor regions are likely to remain poor or become even poorer and the richest regions will maintain their lead in terms of income levels. Explicitly taking account of space furthermore shows that these high‐income regions are acting as local growth poles, absorbing economic activity from their immediate surroundings. Location, trade, education, and the variable fortune of the gold mining industry seem to be important determinants of the observed evolution.     

Knowledge Spillovers and Total Factor Productivity: Evidence Using a Spatial Panel Data Model

This article investigates the impact of knowledge capital stocks on total factor productivity (TFP) through the lens of the knowledge capital model proposed by Griliches (1979) , augmented with a spatially discounted cross-region knowledge spillover pool variable. The objective is to shift attention from firms and industries to regions and to estimate the impact of cross-region knowledge spillovers on TFP in Europe. The dependent variable is the region-level TFP, measured in terms of the superlative TFP index suggested by Caves, Christensen, and Diewert (1982) . This index describes how efficiently each region transforms physical capital and labor into output. The explanatory variables are internal and out-of-region stocks of knowledge, the latter capturing the contribution of cross-region knowledge spillovers. We construct patent stocks to proxy annual regional knowledge capital stocks for N =203 regions during 1997–2002. In estimating the effects, we implement a spatial panel data model that controls for spatial autocorrelation as well as individual heterogeneity across regions. The findings provide a fairly remarkable confirmation of the role of knowledge capital contributing to productivity differences among regions and add an important spatial dimension to discussions in the literature by showing that productivity effects of knowledge spillovers increase with geographic proximity.     

Scales of regional income disparities in the USA, 1955 2003

This article examines multiple dimensions of regional per capitaincome disparities in the USA between 1955 and 2003 with a particularfocus on scalar effects. It combines various exploratory analyticaltools of spatial disparities, including inequality indices,mobility indices, kernel density estimation, spatial autocorrelationstatistics and scale variances, to analyse regional averageper capita income distributions at multiple spatial scales,ranging from counties to multi-state regions. The analysis revealspreviously unrecognised systematic patterns of cross-scalardynamics, whereby spatial income disparities are increasinglymore pronounced at smaller scales in the last few decades.     

Creating Ecologically Based Land Use and Habitat Maps Quickly and Cheaply to Support Conservation Planning at Local Scales: A New Zealand Example

Effective planning to support and enhance ecological values in sites of conservation interest requires accurate, comprehensive and detailed ecologically based maps and data, not only for the conservation site but for the wider landscape in which such sites are situated. In this paper we present an efficient and low cost method for combining appropriate technologies and available data to produce such maps at a landscape level. This method is described and evaluated using a case study of a land use and habitat map, with an associated geographic information system (GIS). The map was created for the district of Dunedin, New Zealand, an area of approximately 3340 km². This paper demonstrates how the map can be adapted for use by small, locally based conservation organisations that typically do not have the resources to obtain detailed, consistent and comprehensive spatial data for the areas they manage. The example of Orokonui Ecosanctuary is used to illustrate the potential applications of the map including mapping assets and habitats within a site and for exploring the relationship between the Ecosanctuary's internal and external habitats. External habitats can form a vital habitat network for many of the endangered species being reintroduced into the Ecosanctuary as well as a source of threats through potential reinvasion by pests and land use change. Though the mapping method presented in this paper is not necessarily new, it demonstrates the potential for utilising advances in mapping techniques and available data sets to offer a pragmatic support mechanism of practical value for small conservation organisations.     

Mental maps of global regions: identifying and characterizing “hard” and “soft” regions

ABSTRACT

This article presents the quantitative synthesis of mental maps that identify different types of world regions. It is the result of a large-scale survey conducted in 18 countries, based on a sketch map approach. The number, shape, and extension of these vernacular world regions vary according to countries, cultures, and the personal styles of respondents who drew the maps. However, when we collectively analyze the regions identified by respondents, we observe that the figures of global regions are more or less recurrent. While the most commonly used division of the world is into “continents”, we can identify “hard” and “soft” regions of the world. Whereas a “hard” region, such as Africa, can be recognized relatively unambiguously as a continent, “soft” regions may include numerous regional distinctions such as East Asia, Russia, South East Asia, and the Middle East. Our methodology involves defining a set of characteristics that discriminate between “hard” and “soft” regions (measuring spatial uncertainty and the relative vagueness of limits and fringes), then accounting for the correlation of these areas on the world map.     

The Use of Electric Models in Geography

The use of electrical models, such as conducting sheet analogues, in geography is based on the fact that a wide variety of problems, say, the flow of groundwater and an electrical current, are founded on the same set of differential equations. The technique of electrical analogues is found to be useful in the solution of a number of geographical problems that cannot always be handled effectively by electronic computers. For example, conducting sheet analogues can be used to obtain map transformations in which area is proportional to the magnitude of a particular mapped feature, for example, equidemic projections in which countries or continents are mapped on the scale of their population density. Other problems that may be suitable for analogue simulation include those involving population potential as well as those in which optimization calls for least cost or least effort.     

浙江省区域创新中心空间格局及其驱动机制研究

区域创新中心建设对区域创新资源整合优化,发挥区域创新优势意义重大。研究运用最邻近距离、核密度估计、探索性空间分析等方法,分析浙江省区域创新中心空间分布、聚类特征及影响因素,得出以下结论:2013年浙江省区域创新中心空间分布整体呈现"周边少,中心多"的态势,空间点分布呈现凝聚特征,空间核分布存在明显不均衡现象;各县市区域创新中心空间分布同样呈现集聚特征,且存在明显的高值与低值集聚;区域创新中心的建设与发展需要市场各级主体的共同合作,同时还受到区域创新能力、经济发展水平、产业集群优势、政府政策因素以及空间邻近效应的影响。     

Methods Of Evaluating The Natural Environment For Transport Development (with reference to the north of Tyumen' Oblast)

A landscape map of northern Tyumen' Oblast, an area of intensive oil and gas development, is used as the base for compilation of an applied landscape map evaluating the environment in terms of suitability for various means of transportation. In terms of such criteria as the carrying capacity of the ground, dissection of terrain and slope angles, climate, distances between trees, bog and lake cover, 16 regions offering distinctive conditions for transport development are delimited and mapped. The technique is offered as an aid in estimating transport-development costs and may be applied for similar purposes in other regions of USSR.     

Policy governance from an autopoietic perspective: revisiting Hungary’s regionalization experience

This perspective on Hungary’s post-socialist regional policy governance is informed by an approach that relates region-building and regional governance to social autopoiesis and the self-referential and self-(re)producing nature of social systems such as states. Following debates in regional studies that reflect tensions between the local constitution and external determination of regional governance, we will demonstrate how Hungary has incorporated European Union (EU) policy frameworks through specific appropriations of territorial politics and regional ideas. These appropriations reflect Hungary’s post-socialist transformation not only in terms of responses to global forces, but also as specific spatial practices and regionalization experiences. As we argue, this has in effect resulted in a regionalism without regions – a strategy of Europeanizing territorial politics without creating institutional structures that directly challenge existing power relations. Autopoiesis thus helps explain the resilience of social systems, not only their resistance to institutional change but also their capability to ‘domesticate’ external influences. While criticisms of Hungary’s technocratic and post-political regionalization projects cannot be ignored, our analysis indicates why externally driven intervention in self-organizing governance processes, for example through EU conditionality, has had less impact than expected.     

Divergent Regional Trajectories in Australia's Tropical Savannas: Indicators of a Multifunctional Rural Transition

As elsewhere in affluent, western nations, Australia's tropical savanna zone is experiencing a complex transition towards multifunctional occupance in which emerging consumption, protection and Indigenous values are contesting the former dominance of production values, tied to extensive pastoral occupance and agricultural development projects. This transition is contributing to increased complexity and diversity within and between regions. Divergent regional functional trajectories, evident over the three decades from 1976 to 2006, can be identified and depicted within the triangular relativities between production, consumption and protection values. Core pastoral regions have experienced discernible, if variable, functional trajectories while retaining a modified productivist orientation. In marginal, ‘frontier’ regions limited scope for capital accumulation has created an expansive space for both market and non-market interests and ideologies to propel functional transitions towards more complex, contested occupance modes. Lack of success in pursuit of productivist goals enhances capability in satisfying emerging national aspirations in recognising Indigenous land rights, in preserving unique biota and valued semi-natural landscapes, in fostering sustainable resource use and in promoting distinctive styles of tourism and recreation. The Darwin region has experienced a transition towards urban amenity occupance shaped by consumption and protection values. Tenure changes recognising Aboriginal ownership in the Arnhem region have facilitated regionwide self-managed Indigenous occupance. Divergent regional functional trajectories are starkly revealed in a comparison of driving forces, decision processes and functional trajectories between the Barkly Tableland and the adjoining Gulf Country.     

Bayesian Areal Wombling for Geographical Boundary Analysis

In the analysis of spatially referenced data, interest often focuses not on prediction of the spatially indexed variable itself, but on boundary analysis , that is, the determination of boundaries on the map that separate areas of higher and lower values. Existing boundary analysis methods are sometimes generically referred to as wombling , after a foundational article by Womble (1951). When data are available at point level (e.g., exact latitude and longitude of disease cases), such boundaries are most naturally obtained by locating the points of steepest ascent or descent on the fitted spatial surface (Banerjee, Gelfand, and Sirmans 2003). In this article, we propose related methods for areal data (i.e., data which consist only of sums or averages over geopolitical regions). Such methods are valuable in determining boundaries for data sets that, perhaps due to confidentiality concerns, are available only in ecological (aggregated) format, or are only collected this way (e.g., delivery of health-care or cost information). After a brief review of existing algorithmic techniques (including that implemented in the commercial software BoundarySeer), we propose a fully model-based framework for areal wombling, using Bayesian hierarchical models with posterior summaries computed using Markov chain Monte Carlo methods. We explore the suitability of various existing hierarchical and spatial software packages (notably S-plus and WinBUGS) to the task, and show the approach's superiority over existing nonstochastic alternatives, both in terms of utility and average mean square error behavior. We also illustrate our methods (as well as the solution of advanced modeling issues such as simultaneous inference) using colorectal cancer late detection data collected at the county level in the state of Minnesota.     

竞争性区域主义与区域建构研究展望

随着全球化的不断深入,竞争性区域主义开始盛行于全球各地,并掀起区域建构的热潮。本研究对西方学术界的竞争性区域主义和区域建构理论进行了系统综述,内容涉及社会建构的区域、空间规划在区域建构中的作用、区域建构的阶段和区域建构中利益相关者的冲突与博弈等方面。在此基础上,对我国城市竞争和空间规划等相关研究进行了综述,对我国竞争性区域主义与区域建构研究进行了展望。     

BAYSIAN INFERENCE FOR ORDERED RESPONSE DATA WITH A DYNAMIC SPATIAL‐ORDERED PROBIT MODEL

ABSTRACT Many databases involve ordered discrete responses in a temporal and spatial context, including, for example, land development intensity levels, vehicle ownership, and pavement conditions. An appreciation of such behaviors requires rigorous statistical methods, recognizing spatial effects and dynamic processes. This study develops a dynamic spatial‐ordered probit (DSOP) model in order to capture patterns of spatial and temporal autocorrelation in ordered categorical response data. This model is estimated in a Bayesian framework using Gibbs sampling and data augmentation, in order to generate all autocorrelated latent variables. It incorporates spatial effects in an ordered probit model by allowing for interregional spatial interactions and heteroskedasticity, along with random effects across regions or any clusters of observational units. The model assumes an autoregressive, AR(1), process across latent response values, thereby recognizing time‐series dynamics in panel data sets. The model code and estimation approach is tested on simulated data sets, in order to reproduce known parameter values and provide insights into estimation performance, yielding much more accurate estimates than standard, nonspatial techniques. The proposed and tested DSOP model is felt to be a significant contribution to the field of spatial econometrics, where binary applications (for discrete response data) have been seen as the cutting edge. The Bayesian framework and Gibbs sampling techniques used here permit such complexity, in world of two‐dimensional autocorrelation.     

OpenStreetMap in Israel and Palestine – ‘Game changer’ or reproducer of contested cartographies?

In Israel and Palestine, map-making practices were always entangled with contradictive spatial identities and imbalanced power resources. Although an Israeli narrative has largely dominated the ‘cartographic battlefield’, the latest chapter of this story has not been written yet: collaborative forms of web 2.0 cartographies have restructured power relations in mapping practices and challenged traditional monopolies on map and spatial data production. Thus, we can expect web 2.0 cartographies to be a ‘game changer’ for cartography in Palestine and Israel. In this paper, I review this assumption with the popular example of OpenStreetMap (OSM). Following a mixed methods approach, I comparatively analyze the genesis of OSM in Israel and Palestine. Although nationalist motives do not play a significant role on either side, it turns out that the project is dominated by Israeli and international mappers, whereas Palestinians have hardly contributed to OSM. As a result, social fragmentations and imbalances between Israel and Palestine are largely reproduced through OSM data. Discussing the low involvement of Palestinians, I argue that OSM's ground truth paradigm might be a watershed for participation. Presumably, the project's data are less meaningful in some local contexts than in others. Moreover, the seemingly apolitical approach to map only ‘facts on the ground’ reaffirms present spatio-social order and thus the power relations behind it. Within a Palestinian narrative, however, many aspects of the factual material space might appear not as neutral physical objects but as results of suppression, in which case, any ‘accurate’ spatial representation, such as OSM, becomes objectionable.     

TESTING FOR SPATIAL EQUILIBRIUM USING HAPPINESS DATA

Happiness data are rarely used in regional and urban analysis, but it is a prime data set for testing the assumption of spatial equilibrium, the key assumption in the field of urban economics. In this paper, we explore the relationship between regional happiness and one‐year lagged change in population growth rates for the nine census regions in the United States using data on reported well‐being from National Opinion Research Center's annual General Social Survey. We observe that, while there is evidence of spatial disequilibrium during recessions and in the long run, happier regions generally experience higher population growth rates indicating a movement (or tendency) toward spatial equilibrium.     

Infrastructure and Growth in a Spatial Framework: Evidence from the EU regions

This paper examines the return to infrastructure in the European Union regions in a spatial framework. It innovates on the earlier literature on infrastructure and growth by a combination of regional focus, disaggregation of infrastructure types and consideration of spatial dependence. Different types of infrastructure capital are considered as determinants of economic performance at the Nomenclature des Unités Territoriales Statistiques level. To account for growth spillovers among regions, a spatial Durbin model is estimated. The results confirm the important role of infrastructure and identify the highest rates of return as associated with telecommunication, quality and accessibility of transportation networks, with a positive impact of roads and railways.     

GPS-based measurement of geographic spillovers in tourism – example of Polish districts

The agglomeration phenomenon in tourism often spreads beyond the borders of territorial units what is referred to as geographic spillovers. However, the measurement of spatial concentration of tourism demand and economic activity is usually based on statistics collected within regional administrative boundaries and omits the spatial interdependency between neighboring regions. Recognition of such spatial interdependency in the standard procedure to define neighborhood relies on the distance between geometric means (centroids) of territorial units which, however, rarely reflects real ‘centers’ of tourism agglomerations and leads to errors and biased results. Hence, we propose to modify the measures of the neighborhood with the use of GPS coordinates of tourism firms and attractions in order to designate their regional central tendencies and thus to correct (shift in space) localization of centroids of territorial units. We test the usefulness of the new approach to obtain a more precise measurement of spatial concentration when tourism spills over beyond the boundaries of territorial units using the example of Polish districts. We employ the exploratory spatial data analysis (spatial statistics) and spatial regression models – to assess the difference between using traditional centroids and GPS coordinates in defining neighborhood and determining spillover effects in regional analysis. Furthermore we apply the new method into the model of tourism potential in order to identify spillover effects in Polish regions. We use the data collected by Central Statistical Office (tourists staying overnight in 379 districts in 2014) and by Polish Tourist Organization (14,390 GPS coordinates of individual entities: tourism firms and attractions). The neighborhood determined with the use of GPS coordinates to measure the distance between centers of tourism agglomerations eliminates the dependence of the results on the administrative boundaries – but only to some degree. The challenge is to identify tourism agglomeration phenomenon as such, based on the mobility of tourists in space.     

ACCOUNTING FOR NEIGHBORING EFFECTS IN MEASURES OF SPATIAL CONCENTRATION*

ABSTRACT A common problem with spatial economic concentration measures based on areal data (e.g., Gini, Herfindhal, entropy, and Ellison‐Glaeser indices) is accounting for the position of regions in space. While they purport to measure spatial clustering, these statistics are confined to calculations within individual areal units. They are insensitive to the proximity of regions or to neighboring effects. Clearly, since spillovers do not recognize areal units, economic clusters may cross regional boundaries. Yet with current measures, any industrial agglomeration that traverses boundaries will be chopped into two or more pieces. Activity in adjacent spatial units is treated in exactly the same way as activity in far‐flung, nonadjacent areas. This paper shows how popular measures of spatial concentration relying on areal data can be modified to account for neighboring effects. With a U.S. application, we also demonstrate that the new instruments we propose are easy to implement and can be valuable in regional analysis.     

PUBLIC ACCESS IN THE CANADIAN COUNTRYSIDE: A COMPARATIVE SURVEY

This article employs the concept of physical rigour to map and measure recreational routes and zones available to the public. The thirteen study areas represent settled rural districts in three major ecumene regions, plus national parks at the fringes of the ecumene. Following a qualitative appraisal of mapped patterns of access, statistical measures of access availability are computed for five levels of rigour, grading from passive through to arduous. There are clear regional variations in the amount of access available at each level, and in the weighted index of overall access availability. Data analysis suggests that intensity of land use is the major determinant of such variations. Other factors include amplitude of relief, the type of natural vegetation, and the form of land survey.