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Título : Applied Spatial Data Analysis with R Tipo de documento: documento electrónico Autores: Roger S. Bivand ; SpringerLink (Online service) ; Edzer J. Pebesma ; Virgilio Gómez Rubio Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Use R!, ISSN 2197-5736 num. 10 Número de páginas: XVIII, 405 p. 121 illus., 89 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-7618-4 Idioma : Inglés (eng) Palabras clave: Statistics Geography for Life Sciences, Medicine, Health Sciences Engineering, Physics, Computer Science, Chemistry and Earth Statistics, general Environmental Monitoring/Analysis Geography, Clasificación: 51 Matemáticas Resumen: Applied Spatial Data Analysis with R, Second Edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003 Nota de contenido: Preface 2nd edition -- Preface 1st edition -- Hello World: Introducing Spatial Data -- Classes for Spatial Data in R -- Visualising Spatial Data -- Spatial Data Import and Export -- Further Methods for Handling Spatial Data -- Classes for spatio-temporal Data -- Spatial Point Pattern Analysis -- Interpolation and Geostatistics -- Modelling Areal Data -- Disease Mapping En línea: http://dx.doi.org/10.1007/978-1-4614-7618-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32360 Applied Spatial Data Analysis with R [documento electrónico] / Roger S. Bivand ; SpringerLink (Online service) ; Edzer J. Pebesma ; Virgilio Gómez Rubio . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XVIII, 405 p. 121 illus., 89 illus. in color : online resource. - (Use R!, ISSN 2197-5736; 10) .
ISBN : 978-1-4614-7618-4
Idioma : Inglés (eng)
Palabras clave: Statistics Geography for Life Sciences, Medicine, Health Sciences Engineering, Physics, Computer Science, Chemistry and Earth Statistics, general Environmental Monitoring/Analysis Geography, Clasificación: 51 Matemáticas Resumen: Applied Spatial Data Analysis with R, Second Edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003 Nota de contenido: Preface 2nd edition -- Preface 1st edition -- Hello World: Introducing Spatial Data -- Classes for Spatial Data in R -- Visualising Spatial Data -- Spatial Data Import and Export -- Further Methods for Handling Spatial Data -- Classes for spatio-temporal Data -- Spatial Point Pattern Analysis -- Interpolation and Geostatistics -- Modelling Areal Data -- Disease Mapping En línea: http://dx.doi.org/10.1007/978-1-4614-7618-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32360 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Applied Spatial Data Analysis with R Tipo de documento: documento electrónico Autores: Roger S. Bivand ; SpringerLink (Online service) ; Edzer J. Pebesma ; Virgilio Gómez Rubio Editorial: New York, NY : Springer New York Fecha de publicación: 2008 Colección: Use R!, ISSN 2197-5736 Número de páginas: XIV, 376 p Il.: online resource ISBN/ISSN/DL: 978-0-387-78171-6 Idioma : Inglés (eng) Palabras clave: Medicine Epidemiology Geography Ecology Econometrics Regional economics Spatial & Public Health Regional/Spatial Science Environmental Monitoring/Analysis Geography, general Clasificación: 51 Matemáticas Resumen: Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information systems, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where coloured figures, complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003. Roger Bivand is Professor of Geography in the Department of Economics at Norges Handelshøyskole, Bergen, Norway. Edzer Pebesma is Professor of Geoinformatics at Westfälische Wilhelms-Universität, Münster, Germany. Virgilio Gómez-Rubio is Research Associate in the Department of Epidemiology and Public Health, Imperial College London, London, United Kingdom Nota de contenido: Handling Spatial Data in R -- Hello World: Introducing Spatial Data -- Classes for Spatial Data in R -- Visualising Spatial Data -- Spatial Data Import and Export -- Further Methods for Handling Spatial Data -- Customising Spatial Data Classes and Methods -- Analysing Spatial Data -- Spatial Point Pattern Analysis -- Interpolation and Geostatistics -- Areal Data and Spatial Autocorrelation -- Modelling Areal Data -- Disease Mapping En línea: http://dx.doi.org/10.1007/978-0-387-78171-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34246 Applied Spatial Data Analysis with R [documento electrónico] / Roger S. Bivand ; SpringerLink (Online service) ; Edzer J. Pebesma ; Virgilio Gómez Rubio . - New York, NY : Springer New York, 2008 . - XIV, 376 p : online resource. - (Use R!, ISSN 2197-5736) .
ISBN : 978-0-387-78171-6
Idioma : Inglés (eng)
Palabras clave: Medicine Epidemiology Geography Ecology Econometrics Regional economics Spatial & Public Health Regional/Spatial Science Environmental Monitoring/Analysis Geography, general Clasificación: 51 Matemáticas Resumen: Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information systems, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where coloured figures, complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003. Roger Bivand is Professor of Geography in the Department of Economics at Norges Handelshøyskole, Bergen, Norway. Edzer Pebesma is Professor of Geoinformatics at Westfälische Wilhelms-Universität, Münster, Germany. Virgilio Gómez-Rubio is Research Associate in the Department of Epidemiology and Public Health, Imperial College London, London, United Kingdom Nota de contenido: Handling Spatial Data in R -- Hello World: Introducing Spatial Data -- Classes for Spatial Data in R -- Visualising Spatial Data -- Spatial Data Import and Export -- Further Methods for Handling Spatial Data -- Customising Spatial Data Classes and Methods -- Analysing Spatial Data -- Spatial Point Pattern Analysis -- Interpolation and Geostatistics -- Areal Data and Spatial Autocorrelation -- Modelling Areal Data -- Disease Mapping En línea: http://dx.doi.org/10.1007/978-0-387-78171-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34246 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Health in Megacities and Urban Areas / SpringerLink (Online service) ; Alexander Krämer ; Mobarak Hossain Khan ; Frauke Kraas (2011)
Título : Health in Megacities and Urban Areas Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alexander Krämer ; Mobarak Hossain Khan ; Frauke Kraas Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2011 Colección: Contributions to Statistics, ISSN 1431-1968 Número de páginas: XIV, 319 p Il.: online resource ISBN/ISSN/DL: 978-3-7908-2733-0 Idioma : Inglés (eng) Palabras clave: Medicine Geography Statistics Environmental health Emigration and immigration & Public Health Medicine/Public Health, general Migration Geography, for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: Diverse driving forces, processes and actors are responsible for different trends in the development of megacities and large urban areas. Under the dynamics of global change, megacities are themselves changing: On the one hand they are prone to increasing socio-economic vulnerability due to pronounced poverty, socio-spatial and political fragmentation, sometimes with extreme forms of segregation, disparities and conflicts. On the other hand megacities offer positive potential for global transformation, e.g. minimisation of space consumption, highly effective use of resources, efficient disaster prevention and health care options – if good strategies were developed. At present in many megacities and urban areas of the developing world and the emerging economies the quality of life is eroding. Most of the megacities have grown to unprecedented size, and the pace of urbanisation has far exceeded the growth of the necessary infrastructure and services. As a result, an increasing number of urban dwellers are left without access to basic amenities like clean drinking water, fresh air and safe food. Additionally, social inequalities lead to subsequent and significant intra-urban health inequalities and unbalanced disease burdens that can trigger conflict and violence between subpopulations. The guiding idea of our book lies in a multi- and interdisciplinary approach to the complex topic of megacities and urban health that can only be adequately understood when different disciplines share their knowledge and methodological tools to work together. We hope that the book will allow readers to deepen their understanding of the complex dynamics of urban and megacity populations through the lens of public health, geographical and other research perspectives En línea: http://dx.doi.org/10.1007/978-3-7908-2733-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33449 Health in Megacities and Urban Areas [documento electrónico] / SpringerLink (Online service) ; Alexander Krämer ; Mobarak Hossain Khan ; Frauke Kraas . - Heidelberg : Physica-Verlag HD, 2011 . - XIV, 319 p : online resource. - (Contributions to Statistics, ISSN 1431-1968) .
ISBN : 978-3-7908-2733-0
Idioma : Inglés (eng)
Palabras clave: Medicine Geography Statistics Environmental health Emigration and immigration & Public Health Medicine/Public Health, general Migration Geography, for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: Diverse driving forces, processes and actors are responsible for different trends in the development of megacities and large urban areas. Under the dynamics of global change, megacities are themselves changing: On the one hand they are prone to increasing socio-economic vulnerability due to pronounced poverty, socio-spatial and political fragmentation, sometimes with extreme forms of segregation, disparities and conflicts. On the other hand megacities offer positive potential for global transformation, e.g. minimisation of space consumption, highly effective use of resources, efficient disaster prevention and health care options – if good strategies were developed. At present in many megacities and urban areas of the developing world and the emerging economies the quality of life is eroding. Most of the megacities have grown to unprecedented size, and the pace of urbanisation has far exceeded the growth of the necessary infrastructure and services. As a result, an increasing number of urban dwellers are left without access to basic amenities like clean drinking water, fresh air and safe food. Additionally, social inequalities lead to subsequent and significant intra-urban health inequalities and unbalanced disease burdens that can trigger conflict and violence between subpopulations. The guiding idea of our book lies in a multi- and interdisciplinary approach to the complex topic of megacities and urban health that can only be adequately understood when different disciplines share their knowledge and methodological tools to work together. We hope that the book will allow readers to deepen their understanding of the complex dynamics of urban and megacity populations through the lens of public health, geographical and other research perspectives En línea: http://dx.doi.org/10.1007/978-3-7908-2733-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33449 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Multiscale Modeling : A Bayesian Perspective Tipo de documento: documento electrónico Autores: Marco A. R. Ferreira ; SpringerLink (Online service) ; Herbert K. H. Lee Editorial: New York, NY : Springer New York Fecha de publicación: 2007 Colección: Springer Series in Statistics, ISSN 0172-7397 Número de páginas: XII, 245 p Il.: online resource ISBN/ISSN/DL: 978-0-387-70898-0 Idioma : Inglés (eng) Palabras clave: Statistics Computer simulation Image processing Geography Probabilities Econometrics Statistical Theory and Methods Probability Stochastic Processes Simulation Modeling Processing Vision Geography, general Clasificación: 51 Matemáticas Resumen: A wide variety of processes occur on multiple scales, either naturally or as a consequence of measurement. This book contains methodology for the analysis of data that arise from such multiscale processes. The book brings together a number of recent developments and makes them accessible to a wider audience. Taking a Bayesian approach allows for full accounting of uncertainty, and also addresses the delicate issue of uncertainty at multiple scales. The Bayesian approach also facilitates the use of knowledge from prior experience or data, and these methods can handle different amounts of prior knowledge at different scales, as often occurs in practice. The book is aimed at statisticians, applied mathematicians, and engineers working on problems dealing with multiscale processes in time and/or space, such as in engineering, finance, and environmetrics. The book will also be of interest to those working on multiscale computation research. The main prerequisites are knowledge of Bayesian statistics and basic Markov chain Monte Carlo methods. A number of real-world examples are thoroughly analyzed in order to demonstrate the methods and to assist the readers in applying these methods to their own work. To further assist readers, the authors are making source code (for R) available for many of the basic methods discussed herein. Marco A. R. Ferreira is an Assistant Professor of Statistics at the University of Missouri, Columbia. Herbert K. H. Lee is an Associate Professor of Applied Mathematics and Statistics at the University of California, Santa Cruz, and authored the book Bayesian Nonparametrics via Neural Networks Nota de contenido: Models for Spatial Data -- Illustrative Example -- Convolutions and Wavelets -- Convolution Methods -- Wavelet Methods -- Explicit Multiscale Models -- Overview of Explicit Multiscale Models -- Gaussian Multiscale Models on Trees -- Hidden Markov Models on Trees -- Mass-Balanced Multiscale Models on Trees -- Multiscale Random Fields -- Multiscale Time Series -- Change of Support Models -- Implicit Multiscale Models -- Implicit Computationally Linked Model Overview -- Metropolis-Coupled Methods -- Genetic Algorithms -- Case Studies -- Soil Permeability Estimation -- Single Photon Emission Computed Tomography Example -- Conclusions En línea: http://dx.doi.org/10.1007/978-0-387-70898-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34522 Multiscale Modeling : A Bayesian Perspective [documento electrónico] / Marco A. R. Ferreira ; SpringerLink (Online service) ; Herbert K. H. Lee . - New York, NY : Springer New York, 2007 . - XII, 245 p : online resource. - (Springer Series in Statistics, ISSN 0172-7397) .
ISBN : 978-0-387-70898-0
Idioma : Inglés (eng)
Palabras clave: Statistics Computer simulation Image processing Geography Probabilities Econometrics Statistical Theory and Methods Probability Stochastic Processes Simulation Modeling Processing Vision Geography, general Clasificación: 51 Matemáticas Resumen: A wide variety of processes occur on multiple scales, either naturally or as a consequence of measurement. This book contains methodology for the analysis of data that arise from such multiscale processes. The book brings together a number of recent developments and makes them accessible to a wider audience. Taking a Bayesian approach allows for full accounting of uncertainty, and also addresses the delicate issue of uncertainty at multiple scales. The Bayesian approach also facilitates the use of knowledge from prior experience or data, and these methods can handle different amounts of prior knowledge at different scales, as often occurs in practice. The book is aimed at statisticians, applied mathematicians, and engineers working on problems dealing with multiscale processes in time and/or space, such as in engineering, finance, and environmetrics. The book will also be of interest to those working on multiscale computation research. The main prerequisites are knowledge of Bayesian statistics and basic Markov chain Monte Carlo methods. A number of real-world examples are thoroughly analyzed in order to demonstrate the methods and to assist the readers in applying these methods to their own work. To further assist readers, the authors are making source code (for R) available for many of the basic methods discussed herein. Marco A. R. Ferreira is an Assistant Professor of Statistics at the University of Missouri, Columbia. Herbert K. H. Lee is an Associate Professor of Applied Mathematics and Statistics at the University of California, Santa Cruz, and authored the book Bayesian Nonparametrics via Neural Networks Nota de contenido: Models for Spatial Data -- Illustrative Example -- Convolutions and Wavelets -- Convolution Methods -- Wavelet Methods -- Explicit Multiscale Models -- Overview of Explicit Multiscale Models -- Gaussian Multiscale Models on Trees -- Hidden Markov Models on Trees -- Mass-Balanced Multiscale Models on Trees -- Multiscale Random Fields -- Multiscale Time Series -- Change of Support Models -- Implicit Multiscale Models -- Implicit Computationally Linked Model Overview -- Metropolis-Coupled Methods -- Genetic Algorithms -- Case Studies -- Soil Permeability Estimation -- Single Photon Emission Computed Tomography Example -- Conclusions En línea: http://dx.doi.org/10.1007/978-0-387-70898-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34522 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Poverty and Social Exclusion around the Mediterranean Sea Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Valerie Berenger ; Florent Bresson Editorial: Boston, MA : Springer US Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Economic Studies in Inequality, Social Exclusion and Well-Being num. 9 Número de páginas: XVI, 328 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-5263-8 Idioma : Inglés (eng) Palabras clave: Geography Social policy Economics Policy Geography, general Clasificación: 658 Empresas. Organización de empresas Resumen: The events taking place in several of South Mediterranean countries since December 2010 show that multiple deprivations may be powerful drivers of political instability. Though improvements of the living conditions have been regularly principal demands along with civil and political liberties in the demonstrations, one of the main striking facts about this so-called “Arab Spring” is that poverty had not been given the same emphasis in southern Mediterranean countries during the last decades as in other areas of the developing and emerging world. Although the growing recognition that poverty is a multidimensional concept, studies of poverty in South Mediterranean countries have often been dominated by a monetary approach. However, there is a growing evidence that it is suitable to go beyond the money-metric measures of poverty and to supplement its results with other approaches that adopt a broader definition of well- being. Though poverty is only one of many causes of this “Arab Spring,” we argue that it is a key feature to understand these historic events and that it is necessary to draw a detailed picture of poverty and social exclusion for each one of these countries. Moreover, if the Union for the Mediterranean succeeds in fostering economic cooperation within the Mediterranean area, the focus on the population’s well-being of its southern members will deserve scrutiny in the next few years to understand the forces that will drive the Euro-Mediterranean relationships, in particular for migration issues. This book brings together recent advances on the measurement of poverty with empirical applications on South-Mediterranean countries. It introduces new tools for analyzing poverty and shows that the linkages between income and well-being are not straightforward and hinge on many determinants. It shows that the efficiency of poverty reducing policies should also be assessed on the basis of the satisfaction of non-income needs like health, education or participation in social life Nota de contenido: I. Cross country studies and a North-South comparison in the study of poverty -- 1. Bérenger, Valérie and Bresson, Florent. Axiomatic and Robust Multidimensional Poverty Measurements in Five Southern Mediterranean Countries -- 2. Fusco, Alessio, Guio, Anne-Catherine and Marlier Eric. Building a Material Deprivation Index in a Multinational Context: Lessons from the EU Experience -- II. Assessing poverty -- 3. Chakravarty, Satya and d’Ambrosio, Conchita. A Family of Unit Consistent Multidimensional Poverty Indices -- 4. Betti, Gianni, Çalik, Güllü, and Karakazs, Murat. Multidimensional Fuzzy Measures of Poverty and Inequality in Turkey at National and Regional Level -- 5. Bérenger, Valérie, Bresson, Florent, Makdissi, Paul, and Yazbeck, Myra. Regional and Sectoral Distribution of Poverty in Lebanon 2004 -- 6. Ayadi, Mohamed and Chtioui, Naouel. A Non-Monetary Multidimensional Poverty Analysis in Tunisia using Generalized Sen-Shorrocks-Thon Measures -- 7. Ezzrari, Abdeljaouad and Verme, Paolo. A Multiple Correspondence Analysis Approach in the Measurement of Multidimensional Poverty in Morocco 2001-2007 -- III. Focus on specific dimensions of poverty and social exclusion -- 8. Gottlieb, Daniel and Abu-Bader, Suleiman. Poverty, Education and Employment among the Arab-Bedouin in Israel -- 9. Haron, Naama. On Social Exclusion and Income Poverty in Israel. Findings from the European Social Survey -- 10. Mehchy, Zaki and Kabbani, Nader. Empowerment and Poverty in Rural Syria: a Case Study of Twenty Four Villages -- 11. AlAzzawi, Shireen and Said, Mona. Dynamics of Multidimensional Poverty and Trade Liberalization: Evidence from Panel Data for Egypt En línea: http://dx.doi.org/10.1007/978-1-4614-5263-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36418 Poverty and Social Exclusion around the Mediterranean Sea [documento electrónico] / SpringerLink (Online service) ; Valerie Berenger ; Florent Bresson . - Boston, MA : Springer US : Imprint: Springer, 2013 . - XVI, 328 p : online resource. - (Economic Studies in Inequality, Social Exclusion and Well-Being; 9) .
ISBN : 978-1-4614-5263-8
Idioma : Inglés (eng)
Palabras clave: Geography Social policy Economics Policy Geography, general Clasificación: 658 Empresas. Organización de empresas Resumen: The events taking place in several of South Mediterranean countries since December 2010 show that multiple deprivations may be powerful drivers of political instability. Though improvements of the living conditions have been regularly principal demands along with civil and political liberties in the demonstrations, one of the main striking facts about this so-called “Arab Spring” is that poverty had not been given the same emphasis in southern Mediterranean countries during the last decades as in other areas of the developing and emerging world. Although the growing recognition that poverty is a multidimensional concept, studies of poverty in South Mediterranean countries have often been dominated by a monetary approach. However, there is a growing evidence that it is suitable to go beyond the money-metric measures of poverty and to supplement its results with other approaches that adopt a broader definition of well- being. Though poverty is only one of many causes of this “Arab Spring,” we argue that it is a key feature to understand these historic events and that it is necessary to draw a detailed picture of poverty and social exclusion for each one of these countries. Moreover, if the Union for the Mediterranean succeeds in fostering economic cooperation within the Mediterranean area, the focus on the population’s well-being of its southern members will deserve scrutiny in the next few years to understand the forces that will drive the Euro-Mediterranean relationships, in particular for migration issues. This book brings together recent advances on the measurement of poverty with empirical applications on South-Mediterranean countries. It introduces new tools for analyzing poverty and shows that the linkages between income and well-being are not straightforward and hinge on many determinants. It shows that the efficiency of poverty reducing policies should also be assessed on the basis of the satisfaction of non-income needs like health, education or participation in social life Nota de contenido: I. Cross country studies and a North-South comparison in the study of poverty -- 1. Bérenger, Valérie and Bresson, Florent. Axiomatic and Robust Multidimensional Poverty Measurements in Five Southern Mediterranean Countries -- 2. Fusco, Alessio, Guio, Anne-Catherine and Marlier Eric. Building a Material Deprivation Index in a Multinational Context: Lessons from the EU Experience -- II. Assessing poverty -- 3. Chakravarty, Satya and d’Ambrosio, Conchita. A Family of Unit Consistent Multidimensional Poverty Indices -- 4. Betti, Gianni, Çalik, Güllü, and Karakazs, Murat. Multidimensional Fuzzy Measures of Poverty and Inequality in Turkey at National and Regional Level -- 5. Bérenger, Valérie, Bresson, Florent, Makdissi, Paul, and Yazbeck, Myra. Regional and Sectoral Distribution of Poverty in Lebanon 2004 -- 6. Ayadi, Mohamed and Chtioui, Naouel. A Non-Monetary Multidimensional Poverty Analysis in Tunisia using Generalized Sen-Shorrocks-Thon Measures -- 7. Ezzrari, Abdeljaouad and Verme, Paolo. A Multiple Correspondence Analysis Approach in the Measurement of Multidimensional Poverty in Morocco 2001-2007 -- III. Focus on specific dimensions of poverty and social exclusion -- 8. Gottlieb, Daniel and Abu-Bader, Suleiman. Poverty, Education and Employment among the Arab-Bedouin in Israel -- 9. Haron, Naama. On Social Exclusion and Income Poverty in Israel. Findings from the European Social Survey -- 10. Mehchy, Zaki and Kabbani, Nader. Empowerment and Poverty in Rural Syria: a Case Study of Twenty Four Villages -- 11. AlAzzawi, Shireen and Said, Mona. Dynamics of Multidimensional Poverty and Trade Liberalization: Evidence from Panel Data for Egypt En línea: http://dx.doi.org/10.1007/978-1-4614-5263-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36418 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
