检索结果-内蒙古大学图书馆

Measuring the negative externalities of a private leisure activity: hooligans and pickpockets around the stadium

JOURNAL OF ECONOMIC GEOGRAPHY 2019年第2期19卷 465-504页

作者： Montolio, Daniel Planells-Struse, Simon Univ Barcelona IEB Fac Econ & Empresa Av Diagonal 690Torre 6 Planta 2 Barcelona 08034 Spain Univ Miguel Hernandez Ctr Crimina Avda Univ S-NEdif Helike Elche Alicant Elche 03201 Spain

Given the recent increase observed in crime related to football matches, we determine the extent to which this private leisure activity is responsible for negative crime externalities. We conduct an exploratory spatial data analysis and spatial regressions at the census tract level drawing on data for the matches played by Football Club Barcelona and geocoded crime data for the city of Barcelona (Spain);focusing on thefts (mainly pick pocketing) and assaults (interpersonal violence or hooliganism). We find an increase in the number of thefts across the whole city but, especially, in those census tracts within a 700-m radius of the stadium. These results are confirmed by the low number of crimes committed during away matches in the census tracts around the stadium. A similar spatial pattern is found for assaults. Our results provide evidence of a displacement effect of violent supporters (hooligans) towards the stadium on football days.

关键词： Crime football hooliganism negative externalities police forces exploratory spatial data analysis K42 H27 R1 L83

来源：评论

学校读者我要写书评

暂无评论

spatial and Multivariate Statistics in Assessing Water Quality in the North Sea 24th

Spatial and Multivariate Statistics in Assessing Water Quali...

引用

24th International Conference on Computational Science and Its Applications (ICCSA)

作者： Ody, Christopher Ramos, M. Rosario Carolino, E. Univ Aberta Lisbon Portugal Inst Politecn Lisboa H & TRC Hlth & Technol Res Ctr ESTeSL Escola Super Tecnol Saude Lisbon Portugal Univ Lisbon Fac Ciencias CEAUL Ctr Estat & Aplicacoes Lisbon Portugal

ISBN: (纸本)9783031652226;9783031652233

The Southern North Sea region plays a vital role for both the economy and society of the surrounding countries. Analyzing the quality of your water is a critical process that involves an assessment of physical, chemical, and biological parameters, essential to guarantee environmental sustainability and the health of local communities and marine ecosystems. Using Multivariate and spatial Statistics methods, this study seeks to identify spatial patterns and autocorrelations to assess water quality in that region. The data set used was taken on a scientific cruise carried out in December 2020 aboard the RV Meteor vessel, led by a team of German researchers. The raw data went through pretreatment guided by the data Quality Control protocol of SeadataNet, an international oceanography project aimed at making European maritime data available. Spike and gradient tests were performed, in addition to data standardization and imputation through inverse distance weighting interpolation. For a better understanding of the scientific area, the data were aggregated by zones for certain analyses, and were sometimes considered globally. An exploratory spatial data analysis (ESDA) was carried out in order to summarize its main characteristics. A reduction in the dimensionality of the original data was carried out through principal component analysis as an auxiliary tool for spatial analysis. The spatial autocorrelation is analyzed by calculating global and local Moran's I Statistics. The outcomes indicate a significant spatial autocorrelation for all variables considered in the freshwater areas and a notable range flattening of the variables in the open sea areas, which possibly caused the lack of significant spatial autocorrelation in those areas.

关键词： exploratory spatial data analysis North Sea Principal components spatial correlation Water quality

来源：评论

学校读者我要写书评

暂无评论

Distribution of Industrial Growth in Nagoya Metropolitan Area, Japan: An exploratory analysis Using Geographical and Technological Proximities

引用

REGIONAL STUDIES 2016年第11期50卷 1876-1888页

作者： Yamada, Eri Kawakami, Tetsu Kinki Univ Fac Appl Sociol 3-4-1 Kowakae Higashiosaka Osaka 5778502 Japan Kinki Univ Fac Econ 3-4-1 Kowakae Higashiosaka Osaka 5778502 Japan

This study explores the spatial pattern of industry dynamics in Japan's motor metropolis of Nagoya. exploratory spatial data analysis methodologies that reflect aspects of both geographical and technological proximities within regional industries are proposed and applied to the long-term, sustained manufacturing and service sector growth rates. The descriptive results identify the presence of positive multilayered growth clusters, driven mainly by the automobile and associated industries. These growth clusters differ in sectoral composition and geographical scale;the larger specialized growth cluster of transportation equipment encompasses the smaller one composed of diverse manufacturing and service sectors.

关键词： exploratory spatial data analysis Dynamic externality Technological proximity Growth cluster Nagoya metropolitan area

来源：评论

学校读者我要写书评

暂无评论

Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies

引用

JOURNAL OF RURAL STUDIES 2017年 52卷 66-75页

作者： Liu, Yansui Liu, Jilai Zhou, Yang Chinese Acad Sci Ctr Assessment & Res Targeted Poverty Alleviat Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China Chinese Acad Sci Key Lab Reg Sustainable Dev Modeling Beijing 100101 Peoples R China Beijing Normal Univ Coll Resources Sci & Technol Beijing 100875 Peoples R China

Poverty is a challenge facing all countries and the international community as a whole. Promoting development, narrowing the rural-urban gap, eliminating poverty and achieving common prosperity are all ideals that humanity constantly pursues. Despite the great achievements have been made in poverty alleviation over the past three decades, the extent of poverty in rural China is still high. It is both necessary and urgent to fully understand the root and status quo of China's poverty and establish a scientific poverty relief system. Based on high resolution poverty data, this study systematically examined the status quo and spatial distribution characteristics of poverty in rural China and its driving mechanism. The results showed that the distribution of the Chinese rural poor exhibits a distinct spatial agglomeration feature. Poverty is mainly concentrated in the remote deep rocky mountainous areas, border areas and minority areas of central and western China and gradually gathers towards the southwestern region. The "islanding effect" may well appear in China's poverty-stricken regions in the future. The proportion of poor people in the northwestern and southeastern regions of the Hu Huanyong line was 16.4% and 83.6%, respectively, indicating the uneven distribution of the rural poor. Furthermore, further investigations indicated that suffering from illness is the greatest contributor to current individual or transient poverty in rural China. The lack of natural endowments, poor geographic conditions and fragile ecological environment are the main driving forces behind persistent poverty. Ultimately, we proposed that China implement a scientific, differentiated, sustainable, targeted and problem-oriented poverty alleviation strategy that can lift the country's rural poor population out of poverty by 2020 as scheduled. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Spatio-temporal pattern of rural poverty Targeted poverty alleviation exploratory spatial data analysis Rural transformation development China

来源：评论

学校读者我要写书评

暂无评论

Non-english language neighborhoods in Chicago, Illinois: 2000

引用

SOCIAL SCIENCE RESEARCH 2007年第3期36卷 1042-1064页

作者： Ishizawa, Hiromi Stevens, Gillian Univ Illinois Dept Sociol Urbana IL 61801 USA

We use data from the 2000 U.S. Census to investigate the spatial patterns and characteristics of non-English language neighborhoods in Chicago Illinois, a major immigrant gateway city. We seek to answer three research questions. First, do non-English language speakers live close enough to form spatially bounded neighborhoods? Second, where are these neighborhoods-in the historical central city of Chicago or in suburbs? Third, what are these neighborhoods like? We use the technique of exploratory spatial data analysis, spatial autocorrelation analysis, to describe and visualize neighborhoods. Our analyses show that non-English language neighborhoods exist in suburbs as well as the central city and that the linguistic, demographic, and socioeconomic characteristics of language neighborhoods vary strongly by site and language group. (c) 2006 Elsevier Inc. All rights reserved.

关键词： Community exploratory spatial data analysis Neighborhood Non-English language spatial autocorrelation

来源：评论

学校读者我要写书评

暂无评论

exploratory Space-time analysis of Inbound Tourism Flows to China Cities

引用

INTERNATIONAL JOURNAL OF TOURISM RESEARCH 2014年第3期16卷 303-312页

作者： Yang Xing-zhu Wang Qun Anhui Normal Univ Coll Tourism Wuhu 241002 Peoples R China

The integration of space and time generates much closer interactions between geography and other social sciences in general while providing new perspectives for the role of geography in tourism flow studies. This paper aims to apply exploratory space-time analysis to provide insights into inbound tourism flow patterns in China's cities over the period of 2000-2009 using city-level Geographical Information System datasets. First, this paper ascertains that there exists geographic neighborhood effect at city level by testifying significantly positive spatial autocorrelation. The hot spots and temporal stability are identified. The hot spots are locally concentrated in metropolitan areas. Local Markov matrix has also shown significant transitions with negative or positive influence of geographic neighbors upon a city. Specifically, three-dimensional surface is created to visualize tourism flows. The spatial inequalities have the pattern of 'the east more dense than the west, the south more dense than the north'. There simultaneously exist spatial agglomeration and spatial dispersion. The intensity of spatial agglomeration has become stronger. At the same time, smaller peaks of tourism flow centers developed around the main cities and spread toward surrounding cities. These potential tourism flow centers have gradually emerged and grown larger. Furthermore, the space-time covariance matrix uncovers correlation, which shows strong regional integration over years. Eight hundred and ninety links are identified and visualized. Two hundred and sixty nine links forming 10 spatial clusters represent strong positive correlation. One hundred and thirty-four links are negative correlation, which is about 15.06 per cent of all links. In conclusion, our comprehensive evidences offer deeper insights and have important policy implications. These enable the tourism-oriented governmental agencies, as well as the tourism industry professionals, to better understand the changes of inboun

关键词： surface visualization space-time covariance matrix inbound tourism flows exploratory spatial data analysis China's cities

来源：评论

学校读者我要写书评

暂无评论

Environmental and economic assessment of traffic-related air pollution using aggregate spatial information: A case study of Balneario Camboriu, Brazil

引用

JOURNAL OF TRANSPORT & HEALTH 2019年 14卷

作者： Tischer, Vinicius Fountas, Grigorios Polette, Marcus Rye, Tom Univ Vale Itajai Sch Marine Sci & Technol Rua Uruguai 458 Itajai SC Brazil Edinburgh Napier Univ Sch Engn & Built Environm Transport Res Inst 10 Colinton Rd Edinburgh EH10 5DT Midlothian Scotland

Introduction: Transportation is one of the main determinants of atmospheric pollutant emissions in urban areas. This externality has direct environmental, economic and public health consequences. This paper aims at investigating the space-time patterns of traffic air pollution in Balneario Camboriu (Brazil) over projected temporal scenarios and at estimating the damage costs of traffic air pollution to support transport policy-making. Methods: To estimate the emission rates of pollutants, emission factors and traffic data were jointly used, whereas the pollutant concentrations were estimated using the Gaussian plume dispersion model. To identify the affected areas as well as possible spatial heterogeneity patterns of air pollution within clustered areas, an exploratory spatial analysis was also conducted. To assess the economic impact of air pollution, damage costs were calculated for various pollutants. Results: The modeling results show that oxides of nitrogen (NO2) and oxides of sulphur (SO2) pollutants exceed the limits of air quality legislation, especially at a distance up to 10 m from the roads, while 60% and 71% of the intersections are found to yield pollutant concentrations above the thresholds, primarily during peak hours. The analysis also confirmed that homogeneous traffic zones with similar emission rates are spatially clustered exhibiting positive autocorrelation patterns. The results of the economic appraisal showed that the estimated costs of traffic-related emissions were $0.89, $1.38 and $1.43 million/year, respectively, for the current, short-term and long-term scenarios. Conclusions: This study serves as the first comprehensive analysis of traffic air pollution for the specific study region, providing implications and modeling tools that can be leveraged in public policies focusing on the elimination of the transportation-generated health burden. The developed analysis framework can also serve as a supporting tool for Public Agencies focusing on

关键词： Air pollution Emission factors exploratory spatial data analysis Damage costs Traffic Brazil

来源：评论

学校读者我要写书评

暂无评论

A spatial analysis OF PRECARIOUS FORMS OF EMPLOYMENT IN FRANCE

引用

TIJDSCHRIFT VOOR ECONOMISCHE EN SOCIALE GEOGRAFIE 2015年第5期106卷 536-555页

作者： Jacquemond, Marc Breau, Sebastien McGill Univ Dept Geog Montreal PQ H3A 0B9 Canada

This paper provides the first detailed analysis of the spatial dimensions of precarious employment across the French territory. We find that different forms of precarious employment exhibit different spatial patterns. The most striking locational pattern is shown by fixed-term contracts and part-time work where we observe clusters of high levels of precarious employment primarily in southern regions. Northern regions, in contrast, are characterised by clusters of low levels of precarious employment. We also find that precarious employment is predominantly a rural phenomenon with the exception of temporary (interim) work which displays higher average levels in urban communes. Finally, modelling results suggest that the geographical distribution of precarious forms of employment is linked to factors such as the unemployment rate, the industrial composition of a region, gender and the structure of family households.

关键词： Precarious employment France communes exploratory spatial data analysis

来源：评论

学校读者我要写书评

暂无评论

US regional income convergence: A spatial econometric perspective

引用

REGIONAL STUDIES 1999年第2期33卷 143-156页

作者： Rey, SJ Montouri, BD San Diego State Univ Dept Geog San Diego CA 92182 USA

This study reconsiders the question of US regional economic income convergence from a spatial econometric perspective. Recently developed methods of exploratory spatial data analysis provide new insights on the geographical dynamics of US regional income growth patterns over the 1929-94 period. Strong patterns of both global and local spatial autocorrelation are found throughout the study period, and the magnitude of global spatial autocorrelation is also found to exhibit strong temporal co-movement with regional income dispersion. A spatial econometric analysis of the familiar Baumol specification reveals strong evidence of misspecification due to ignored spatial error dependence. Because of this dependence, shocks originating in one state can spillover into surrounding states, potentially complicating the transitional dynamics of the convergence process.

关键词： regional income convergence spatial econometrics exploratory spatial data analysis

来源：评论

学校读者我要写书评

暂无评论

spatial analysis of Cultural Activities in the microrregions of Minas Gerais

引用

EconomiA 2013年第3-4期14卷 139-157页

作者： Ferreira Neto, Amir Borges Perobelli, Fernando Salgueiro Universidade Federal de Juiz de Fora MG Brazil

This paper aims at the evaluation of cultural activity aspects from the 66 microregions of the state of Minas Gerais by creating a comparable index, the DPCA, and by detecting spatial patterns in this index using exploratory spatial data analysis (ESDA). To study the aspects of cultural activities we calculated the DPCA index using factorial analysis. The database used was the Basic Municipal Information developed by IBGE. The methodology enables the construction of a Development Potential of Cultural Activities (DPCA) index composed by three factors that allow us to evaluate the aspects of cultural activities: one comprising cultural activities and structure, one comprising means of access to culture and another comprising cultural management. Some conclusion that can be highlighted is the low result of the Development Potential of Cultural Activities (DPCA) for 64 from the 66 microregions. Regarding the ESDA, we find cultural clusters when the calculus are performed for PDAC individually and for a comparison with the GDP. © 2013

关键词： Cultural Economics exploratory spatial data analysis Minas Gerais

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：