Analyzing Regional Inequality in Post-Mao China in a GIS Environment

Regional inequality in China has attracted considerable scholarly attention, but the use of geographic information system (GIS) techniques for rigorous analysis remains limited. This paper utilizes recent data and GIS and spatial statistical techniques to analyze changing patterns of regional inequality in China from 1978 to 2000. It also identifies the changing clusters of regional development in China. We illustrate that regional inequality in China is sensitive to development trajectories of the provinces, and that conventional measures of regional inequality mask geographical clustering. Patterns of change are explained by both contextual and regression analyses. Journal of Economic Literature, Classification Numbers: F21, G32, P31. 16 figures, 3 tables, 30 references.     

Recent Directions and Developments in Geographical Information Systems

Geographical information systems (GIS) are tools for handling and processing spatially referenced information that have permeated all facets of archaeology, frequently revolutionizing research by allowing easy access to vast amounts of information, new ways of data visualization that promote insight through pattern recognition, and unique methodologies that allow entirely new approaches to the study of the past. This comprehensive review examines and critiques recent advances achieved through GIS in regional and within-site databases, locational analysis and modeling, regional simulation, studies of landscape perception through intervisibility analysis, and models of spatial allocation, territoriality, and site access. The future prospects of GIS are enormous with the growth of the Internet, the resultant linking of databases, expected enhancements in satellite remote sensing, and the increasing pervasiveness of global positioning systems for spatial data capture. If there is a persistent theme that emerges from the chronicles of contemporary scientific cartography, it is that the creation of a map almost inevitably leads to unexpected revelations. — Hall, Mapping the Next Millenium: How Computer-Driven Cartography Is Revolutionizing the Face of Science     

云南省反贫困地理信息系统建设初探

本文从信息系统为决策支持服务的角度出发,以GIS、RS为手段,综合自然、经济、社会、环境等因素,多学科交叉,设计反贫困GIS的总体框架结构,研究和解决面向管理和决策的数据模型,实现致贫基本因素、贫困类型分布与贫困形势变化监测等方面的信息查询与辅助决策分析为一体的综合地理信息系统,为区域反贫困决策的各层次提供辅助分析与决策支持,为反贫困决策提供科学依据。     

The future role of GIS education in creating critical spatial thinkers

Teaching of critical spatial thinking in higher education empowers graduates to effectively engage with spatial data. Geographic information systems (GIS) and science are taught to undergraduates across many disciplines; we evaluate how this contributes to critical spatial thinking. The discipline of GIS covers the whole process of spatial decision-making, but GIS modules often ignore the context setting of spatial problems, and just cover the technical aspects of how to use GIS software. We outline how some existing GIS practicals could be improved to focus on the development of critical spatial thinking skills, competences and abilities that are valuable to graduates.     

Local Indicators of Spatial Association—LISA

The capabilities for visualization, rapid data retrieval, and manipulation in geographic information systems (GIS) have created the need for new techniques of exploratory data analysis that focus on the “spatial” aspects of the data. The identification of local patterns of spatial association is an important concern in this respect. In this paper, I outline a new general class of local indicators of spatial association (LISA) and show how they allow for the decomposition of global indicators, such as Moran's I, into the contribution of each observation. The LISA statistics serve two purposes. On one hand, they may be interpreted as indicators of local pockets of nonstationarity, or hot spots, similar to the G_i and G*_i statistics of Getis and Ord (1992). On the other hand, they may be used to assess the influence of individual locations on the magnitude of the global statistic and to identify “outliers,” as in Anselin's Moran scatterplot (1993a). An initial evaluation of the properties of a LISA statistic is carried out for the local Moran, which is applied in a study of the spatial pattern of conflict for African countries and in a number of Monte Carlo simulations.     

中国公共图书馆时空格局演变及影响因素研究

以1994-2013年中国县域公共图书馆数据为研究基础,运用数理统计和GIS空间分析方法揭示了中国公共图书馆的时空格局及其演变规律,采用多元回归分析和地理探测器分析其时空分异的影响因素及强度差异,并探究其影响机制。结果表明：①中国公共图书馆的整体发展水平持续提升,不同等级公共图书馆的数量结构特征展现出由“金字塔型”向“哑铃型”演变的态势;②中国公共图书馆在空间上的等级扩散效应较为显著,其集聚水平逐步下降,趋向空间均衡分布方向发展;③中国公共图书馆密度分布总体上呈现出逐年提高的趋势,但区域间公共图书馆发展水平的差距在进一步扩大,表现出“东高西低、南高北低”的空间分布格局;④中国公共图书馆时空分布格局是经济、社会、文化、政策等诸多因素共同作用的结果,不同时期和不同地区公共图书馆时空分异的主导因素及其作用强度存在差异。     

Refining the definition of cultural levels at Karabi Tamchin: a quantitative approach to vertical intra-site spatial analysis

The visual identification of archaeological levels can be difficult when stratigraphy is complex. This study emphasizes the importance of three-dimensional intra-site spatial analysis as a means of testing the integrity of archaeological levels, including the identification of palimpsest deposits. A geographical information system (GIS) is applied to a three-dimensional spatial analysis of lithic and bone distributions from Karabi Tamchin, a Middle Palaeolithic site from the Crimea, Ukraine. K-means statistical clustering is combined with a series of data transformations to identify and interpret the vertical and horizontal spatial organization of the site. The results indicate that K-means cluster analysis, used in conjunction with GIS, provides an exceptional method of identifying discrete clusters of archaeological materials in three dimensions. Through an analysis of cluster contents within levels, it is possible to reconstruct and compare patterns of spatial organization at Karabi Tamchin, contributing to current debates regarding the cognitive complexity of Neanderthal populations.     

Spatial/temporal mismatch: a conflation protocol for Canada Census spatial files

The Canada census is one of the chief sources of demographic and socio-economic data for researchers in this country. Census variables are linked to geography files that allow researchers using geographic information systems (GIS) to view and analyze spatial data. Some of the most useful analysis, however, is based on changes in attribute values over time and space. Analysis of spatio- temporal events such as shifting migration patterns or changes in the distribution of health status permits a more dimensioned perspective than the viewing of static spatial phenomena. The analysis of spatio-temporal phenomena is limited by major changes in the spatial framework (e.g., location of road networks and other spatial entities) between national censuses. This paper addresses this limitation by (i) illustrating the extent of spatial mismatch between the 1996 and the 2001 census; (ii) examining attempts to rectify this problem in other jurisdictions and (iii) presenting a 'made-in-Canada' solution for conflation of census geometries. We believe that this solution will enhance the ability of Canadian researchers to describe and analyze socio-economic, health and demographic shifts across time and space. The research is supported by an ftp site for downloading the census geography rectification software presented in this paper.     

Potential Contributions of Spatial Analysis to Geographic Information Systems for Transportation (GIS-T)

Geographic information systems (GIS) are having tremendous impacts on many scientific and application domains. The traditional subfield of spatial analysis is witnessing a major resurgence and enhancement due to GIS and geographical information science (GISci), an interdisciplinary field focusing on the theory and methodology underlying GIS software. The interdisciplinary field of geographic information systems for transportation (GIS-T) has emerged to focus on the role of GIS in transportaton analysis and planning. This paper suggests the benefits of closer linkages between spatial analysis, GISci, and transportation through a focused review of spatial analytical issues and their potential contributions to GIS-T. Specifically, this paper reviews the following issues: (i) modifiable areal units; (ii) boundary problems and spatial sampling; (iii) spatial dependence and spatial heterogeneity; and (iv) alternative representations of geographic environments. The discussion highlights the general issues as well as identifies their specific relevance to GIS-T. In addition, this paper identifies some emerging tools from GISci that can address these spatial analytical issues in GIS-T.     

Exploratory Analysis of the Homeless Shelter System in Columbus, Ohio

Abstract: A geographic information system (GIS)-based framework is structured to analyse the spatial characteristics and patterns associated with a system of homeless shelters and services. Given the lack of detailed spatial information available to decision-makers and shelter operators, the siting of new shelters and services is often carried out with little supporting information. The shelter system in Columbus, Ohio is investigated. Personal interviews with shelter providers and local decision-makers offers a look at their collective understanding of the services needed by Columbus' homeless population and the spatial patterns and socio-economic characteristics that define the neighbourhoods in which shelters are located. The use of GIS facilitates an exploratory data analysis that allows these understandings to be examined, affording planners and decision-makers the opportunity to move beyond perceptions of the system. Findings indicate that while many perceptions are supported empirically, there are perceptions that are not substantiated. This research provides a basis for the evaluation of important social services in an urban area where perception influences planning and decision-making.     

“GIS A JOB”: WHAT USE GEOGRAPHICAL INFORMATION SYSTEMS IN SPATIAL ECONOMICS?*

ABSTRACT Geographical information systems (GIS) are used for inputting, storing, managing, analyzing and mapping spatial data. This article argues that each of these functions can help researchers interested in spatial economics. In addition, GIS provide access to new data that is both interesting in its own right, but also as a source of exogenous variation.     

人文地理过程内涵辨析与模拟探讨

人文地理过程是陆地表层系统地理过程最重要的组成部分之一。本文从陆地表层系统科学的角度出发,探讨了人文地理过程的基本内涵及主要组成部分,指出人口迁移过程和经济集聚-扩散过程是人文地理过程最重要的要素过程,城市化和土地利用变化是人文地理过程最直接的空间表达形式;在此基础上进一步探讨了人文地理过程模拟的核心内容,包括要素模拟和综合过程模拟;提出了人文过程模拟的主要数据源获得途径与模拟方法,指出了人文地理过程模拟需要解决的几个关键问题。     

Geographic Visualization in Archaeology

Archaeologists are often considered frontrunners in employing spatial approaches within the social sciences and humanities, including geospatial technologies such as geographic information systems (GIS) that are now routinely used in archaeology. Since the late 1980s, GIS has mainly been used to support data collection and management as well as spatial analysis and modeling. While fruitful, these efforts have arguably neglected the potential contribution of advanced visualization methods to the generation of broader archaeological knowledge. This paper reviews the use of GIS in archaeology from a geographic visualization (geovisual) perspective and examines how these methods can broaden the scope of archaeological research in an era of more user-friendly cyber-infrastructures. Like most computational databases, GIS do not easily support temporal data. This limitation is particularly problematic in archaeology because processes and events are best understood in space and time. To deal with such shortcomings in existing tools, archaeologists often end up having to reduce the diversity and complexity of archaeological phenomena. Recent developments in geographic visualization begin to address some of these issues and are pertinent in the globalized world as archaeologists amass vast new bodies of georeferenced information and work towards integrating them with traditional archaeological data. Greater effort in developing geovisualization and geovisual analytics appropriate for archaeological data can create opportunities to visualize, navigate, and assess different sources of information within the larger archaeological community, thus enhancing possibilities for collaborative research and new forms of critical inquiry.     

基于GIS的家谱资源整合集成研究

我国家谱源远流长、内容丰富、数量巨大,一直是众多领域学者关注的焦点。但是,家谱研究始终处于初级阶段,家谱的价值尚未得到充分利用。其根本原因在于家谱资源分布广泛、共享困难、研究方法和手段单一。各方通力合作,利用高新技术整合现有家谱资源,建立中华家谱总数据库和总平台已迫在眉睫。本文针对家谱典型的时空特性,提出采用GIS技术整合集成海量家谱资源,并进一步探讨了家谱资源整合集成的若干关键问题,设计了家谱资源整合集成的基本原则和平台框架,为家谱研究提供了新的思路、方法和技术。     

The Neolithic Transition in the Iberian Peninsula: Data Analysis and Modeling

We apply GIS techniques to analyze a carefully selected database of 93 Early Neolithic sites in the Iberian Peninsula. This allows us to study the spatial dynamics of the Neolithic transition in Iberia. We study how the Neolithic was introduced into the peninsula in order to test the hypothesis that the Neolithic was introduced almost simultaneously from two sources: one at the northeast (via the Mediterranean coast) and another one at the south (possibly from Northern Africa). We also analyze how the expansion of the Neolithic transition took place within the Iberian Peninsula and measure local rates of spread in order to identify regions with fast and slow rates (such as the slowdown at the Cantabrian coast). In addition, we attempt to reproduce the main results obtained from the GIS analysis by applying reaction–dispersal models to the expansion of the Neolithic transition in the Iberian Peninsula. We conclude that a model with two sources is a reasonable assumption that agrees better with the archaeological data available at present than a model with a single source.     

基于村域微尺度的人口流动类型空间分异及作用机理——以云南玉龙县为例

村域微尺度人口流动过程对县级单元就近城镇化发展、小城镇发展和新型农村社区建设等方面影响凸显.以云南玉龙县为研究区域,以行政村为基本空间单元,深入剖析人口流动村域类型空间分异特征,识别人口流动村域类型空间分异的关键影响因素及其作用机制.研究表明:①玉龙县村域人口流动特征呈现明显的空间分异,具体表现在人口流动强度和人口流动...     

THE KNIGHTS OF LABOR DATA-BANK

Several countries have made large investments in building historical Geographical Information Systems (GIS) databases containing census and other quantitative statistics over long periods of time. Making good use of these databases requires approaches that explore spatial and temporal change. The authors use a variety of visualization and spatial analysis techniques to explore population change in Ireland during and after the Great Famine of the late 1840s. Importantly, the techniques allow differences over space and time to be explored, thus stressing the diversity between places, rather than making all places appear the same, a common criticism of many statistical approaches. The authors demonstrate the potential of these techniques to explore geographical and temporal variations in large quantitative GIS datasets.     

THE IMPACT OF CRIME ON APARTMENT PRICES: EVIDENCE FROM STOCKHOLM,SWEDEN

This study uses data of about 9,000 apartment sales in Stockholm, Sweden, to assess the impact of crime on property prices. The study employs hedonic pricing modelling to estimate the impact of crime controlling for other factors (property and neighbourhood characteristics). Geographic Information System (GIS) is used to combine apartment sales by coordinates with offences, land use characteristics and demographic data of the population. The novelty of this research is threefold. First, it explores a set of land use attributes created by spatial techniques in GIS in combination with detailed geographical data in hedonic pricing modelling. Second, the effect of crime in neighbouring zones at one place can be measured by incorporating spatial lagged variables of offence rates into the model. Third, the study provides evidence of the impact of crime on housing prices in a capital city of a traditional welfare state, information otherwise lacking in the international literature. Our results indicate that apartment prices in a specific area are strongly affected by crime in its neighbouring zones, regardless of crime type. When offences were broken down by types, residential burglary, theft, vandalism, assault and robbery individually had a significant negative effect on property values. However, for residential burglary such an effect is not homogenous across space, and apartment prices in central areas are often less discounted by being exposed to crime than those in the city's outskirts.     

Spatial Analysis of Employment and Population Density: The Case of the Agglomeration of Dijon 1999

The aim of this paper is to analyze the intraurban spatial distributions of population and employment in the agglomeration of Dijon (regional capital of Burgundy, France). We study whether this agglomeration has followed the general tendency of job decentralization observed in most urban areas or whether it is still characterized by a monocentric pattern. To that purpose, we use a sample of 136 observations at the communal and at the IRIS (infraurban statistical area) levels with 1999 census data and the employment database SIRENE (INSEE). First, we study the spatial pattern of total employment and employment density using exploratory spatial data analysis. Apart from the CBD, few IRIS are found to be statistically significant, a result contrasting with those found using standard methods of subcenter identification with employment cut‐offs. Next, in order to examine the spatial distribution of residential population density, we estimate and compare different specifications: exponential negative, spline‐exponential, and multicentric density functions. Moreover, spatial autocorrelation, spatial heterogeneity, and outliers are controlled for by using the appropriate maximum likelihood, generalized method of moments, and Bayesian spatial econometric techniques. Our results highlight again the monocentric character of the agglomeration of Dijon.     

GeoDa : An Introduction to Spatial Data Analysis

This article presents an overview of GeoDa™, a free software program intended to serve as a user-friendly and graphical introduction to spatial analysis for non-geographic information systems (GIS) specialists. It includes functionality ranging from simple mapping to exploratory data analysis, the visualization of global and local spatial autocorrelation, and spatial regression. A key feature of GeoDa is an interactive environment that combines maps with statistical graphics, using the technology of dynamically linked windows. A brief review of the software design is given, as well as some illustrative examples that highlight distinctive features of the program in applications dealing with public health, economic development, real estate analysis, and criminology.