Resultado de la búsqueda
140 búsqueda de la palabra clave 'Spatial'
Refinar búsqueda Generar rss de la búsqueda
Link de la búsquedaSpatial Econometric Interaction Modelling / Patuelli, Roberto ; SpringerLink (Online service) ; Giuseppe Arbia (2016)
Título : Spatial Econometric Interaction Modelling Tipo de documento: documento electrónico Autores: Patuelli, Roberto ; SpringerLink (Online service) ; Giuseppe Arbia Editorial: Cham : Springer International Publishing Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: Advances in Spatial Science, The Regional Science Series, ISSN 1430-9602 Número de páginas: XI, 468 p. 66 illus., 51 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-319-30196-9 Idioma : Inglés (eng) Palabras clave: Economic geography Statistics Econometrics Regional economics Spatial Economics Regional/Spatial Science Geography for Business/Economics/Mathematical Finance/Insurance Clasificación: 330 Economía en General Resumen: This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects. The second part deals with technical solutions to particular estimation issues, such as intraregional flows, Bayesian PPML and VAR estimation.The final part presents a number of empirical applications, ranging from interregional tourism competition and domestic trade to space-time migration modeling and residential relocation Nota de contenido: Preface -- Part I: General Methodological Issues -- Part II: Specific Methodological Issues -- Part III: Applications En línea: http://dx.doi.org/10.1007/978-3-319-30196-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42205 Spatial Econometric Interaction Modelling [documento electrónico] / Patuelli, Roberto ; SpringerLink (Online service) ; Giuseppe Arbia . - Cham : Springer International Publishing : Imprint: Springer, 2016 . - XI, 468 p. 66 illus., 51 illus. in color : online resource. - (Advances in Spatial Science, The Regional Science Series, ISSN 1430-9602) .
ISBN : 978-3-319-30196-9
Idioma : Inglés (eng)
Palabras clave: Economic geography Statistics Econometrics Regional economics Spatial Economics Regional/Spatial Science Geography for Business/Economics/Mathematical Finance/Insurance Clasificación: 330 Economía en General Resumen: This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects. The second part deals with technical solutions to particular estimation issues, such as intraregional flows, Bayesian PPML and VAR estimation.The final part presents a number of empirical applications, ranging from interregional tourism competition and domestic trade to space-time migration modeling and residential relocation Nota de contenido: Preface -- Part I: General Methodological Issues -- Part II: Specific Methodological Issues -- Part III: Applications En línea: http://dx.doi.org/10.1007/978-3-319-30196-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42205 Ejemplares
Signatura Medio Ubicación Sección Estado ningún ejemplar
Título : Spatial Econometrics : From Cross-Sectional Data to Spatial Panels Tipo de documento: documento electrónico Autores: Elhorst, J. Paul ; SpringerLink (Online service) Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2014 Otro editor: Imprint: Springer Colección: SpringerBriefs in Regional Science, ISSN 2192-0427 Número de páginas: VII, 119 p. 6 illus Il.: online resource ISBN/ISSN/DL: 978-3-642-40340-8 Idioma : Inglés (eng) Palabras clave: Statistics Econometrics Regional economics Spatial Economics Regional/Spatial Science for Business/Economics/Mathematical Finance/Insurance Clasificación: 658 Empresas. Organización de empresas Resumen: This book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels and dynamic spatial panel data models. The book not only presents different model specifications and their corresponding estimators, but also critically discusses the purposes for which these models can be used and how their results should be interpreted Nota de contenido: Contents -- 1 Introduction -- 2 Linear Spatial Dependence Models -- for Cross-Section Data -- 3 Spatial Panel Data Models -- 4 Dynamic Spatial Panels: Models, Methods and Inferences -- References En línea: http://dx.doi.org/10.1007/978-3-642-40340-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36162 Spatial Econometrics : From Cross-Sectional Data to Spatial Panels [documento electrónico] / Elhorst, J. Paul ; SpringerLink (Online service) . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014 . - VII, 119 p. 6 illus : online resource. - (SpringerBriefs in Regional Science, ISSN 2192-0427) .
ISBN : 978-3-642-40340-8
Idioma : Inglés (eng)
Palabras clave: Statistics Econometrics Regional economics Spatial Economics Regional/Spatial Science for Business/Economics/Mathematical Finance/Insurance Clasificación: 658 Empresas. Organización de empresas Resumen: This book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels and dynamic spatial panel data models. The book not only presents different model specifications and their corresponding estimators, but also critically discusses the purposes for which these models can be used and how their results should be interpreted Nota de contenido: Contents -- 1 Introduction -- 2 Linear Spatial Dependence Models -- for Cross-Section Data -- 3 Spatial Panel Data Models -- 4 Dynamic Spatial Panels: Models, Methods and Inferences -- References En línea: http://dx.doi.org/10.1007/978-3-642-40340-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36162 Ejemplares
Signatura Medio Ubicación Sección Estado ningún ejemplar
Título : Spatial Microsimulation for Rural Policy Analysis Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; O'Donoghue, Cathal ; Dimitris Ballas ; Clarke, Graham ; Hynes, Stephen ; Morrissey, Karyn Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Advances in Spatial Science, The Regional Science Series, ISSN 1430-9602 Número de páginas: XVI, 264 p Il.: online resource ISBN/ISSN/DL: 978-3-642-30026-4 Idioma : Inglés (eng) Palabras clave: Economic geography Regional economics Spatial Emigration and immigration Economics Regional/Spatial Science Geography Migration Clasificación: 658 Empresas. Organización de empresas Resumen: The aim of this book is to explore the challenges facing rural communities and economies and to demonstrate the potential of spatial microsimulation for policy and analysis in a rural context. This is done by providing a comprehensive overview of a particular spatial microsimulation model called SMILE (Simulation Model of the Irish Local Economy). The model has been developed over a ten year period for applied policy analyis in Ireland which is seen as an ideal study area given its large percentage of population living in rural areas. The book reviews the policy context and the state of the art in spatial microsimulation against which SMILE was developed, describes in detail its model design and calibration, and presents example of outputs showing what new information the model provides using a spatial matching process. The second part of the book explores a series of rural issues or problems, including the impacts of new or changing government or EU policies, and examines the contribution that spatial microsimulation can provide in each area Nota de contenido: 1 Introduction -- 2 The Spatial Policy Context of Economic, Agricultural and Environmental Change in Rural Ireland -- 3 A Review of Microsimulation for Policy Analysis -- 4 The SMILE Model: Construction and Calibration -- 5 Validation Issues and the Spatial Pattern of Household Income -- 6 Farm Level Spatial Microsimulation Modelling -- 7 Conservation and Rural Environmental Protection Scheme -- 8 Modelling Greenhouse Gas Emissions from Agriculture -- 9 The Location Economics of Biomass Production for Electricity Generation -- 10 Modelling Farm Viability -- 11 The Spatial Distribution of Household Disposable Income -- 12 Spatial Access to Health Services -- 13 Modelling the Spatial Pattern of Rural Tourism and Recreation -- 14 Conclusions and Next Steps En línea: http://dx.doi.org/10.1007/978-3-642-30026-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36502 Spatial Microsimulation for Rural Policy Analysis [documento electrónico] / SpringerLink (Online service) ; O'Donoghue, Cathal ; Dimitris Ballas ; Clarke, Graham ; Hynes, Stephen ; Morrissey, Karyn . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013 . - XVI, 264 p : online resource. - (Advances in Spatial Science, The Regional Science Series, ISSN 1430-9602) .
ISBN : 978-3-642-30026-4
Idioma : Inglés (eng)
Palabras clave: Economic geography Regional economics Spatial Emigration and immigration Economics Regional/Spatial Science Geography Migration Clasificación: 658 Empresas. Organización de empresas Resumen: The aim of this book is to explore the challenges facing rural communities and economies and to demonstrate the potential of spatial microsimulation for policy and analysis in a rural context. This is done by providing a comprehensive overview of a particular spatial microsimulation model called SMILE (Simulation Model of the Irish Local Economy). The model has been developed over a ten year period for applied policy analyis in Ireland which is seen as an ideal study area given its large percentage of population living in rural areas. The book reviews the policy context and the state of the art in spatial microsimulation against which SMILE was developed, describes in detail its model design and calibration, and presents example of outputs showing what new information the model provides using a spatial matching process. The second part of the book explores a series of rural issues or problems, including the impacts of new or changing government or EU policies, and examines the contribution that spatial microsimulation can provide in each area Nota de contenido: 1 Introduction -- 2 The Spatial Policy Context of Economic, Agricultural and Environmental Change in Rural Ireland -- 3 A Review of Microsimulation for Policy Analysis -- 4 The SMILE Model: Construction and Calibration -- 5 Validation Issues and the Spatial Pattern of Household Income -- 6 Farm Level Spatial Microsimulation Modelling -- 7 Conservation and Rural Environmental Protection Scheme -- 8 Modelling Greenhouse Gas Emissions from Agriculture -- 9 The Location Economics of Biomass Production for Electricity Generation -- 10 Modelling Farm Viability -- 11 The Spatial Distribution of Household Disposable Income -- 12 Spatial Access to Health Services -- 13 Modelling the Spatial Pattern of Rural Tourism and Recreation -- 14 Conclusions and Next Steps En línea: http://dx.doi.org/10.1007/978-3-642-30026-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36502 Ejemplares
Signatura Medio Ubicación Sección Estado ningún ejemplar
Título : Perspectives on Spatial Data Analysis Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Luc Anselin ; Rey, Sergio J Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2010 Colección: Advances in Spatial Science, The Regional Science Series, ISSN 1430-9602 Número de páginas: XVIII, 290 p. 51 illus Il.: online resource ISBN/ISSN/DL: 978-3-642-01976-0 Idioma : Inglés (eng) Palabras clave: Statistics Economic geography Regional economics Spatial for Business/Economics/Mathematical Finance/Insurance Regional/Spatial Science Geography Clasificación: 51 Matemáticas Resumen: This book takes both a retrospective and prospective view of the field of spatial analysis by combining selected reprints of classic articles by Arthur Getis with current observations by leading experts in the field. Four main aspects are highlighted, dealing with spatial analysis, pattern analysis, local statistics as well as illustrative empirical applications. Researchers and students will gain an appreciation of Getis' methodological contributions to spatial analysis and the broad impact of the methods he has helped pioneer on an impressively broad array of disciplines including spatial epidemiology, demography, economics, and ecology. The volume is a compilation of high impact original contributions, as evidenced by citations, and the latest thinking on the field by leading scholars. This makes the book ideal for advanced seminars and courses in spatial analysis as well as a key resource for researchers seeking a comprehensive overview of recent advances and future directions in the field Nota de contenido: Spatial Analysis -- Perspectives on Spatial Data Analysis -- Spatial Interaction and Spatial Autocorrelation: A Cross-Product Approach -- Spatial Statistical Analysis and Geographic Information Systems -- Whose Hand on the Tiller? Revisiting “Spatial Statistical Analysis and GIS” -- Spatial Interaction and Spatial Autocorrelation -- Pattern Analysis -- Second-Order Analysis of Point Patterns: The Case of Chicago as a Multi-center Urban Region -- Second-Order Neighborhood Analysis of Mapped Point Patterns -- A Class of Local and Global K Functions and Their Exact Statistical Methods -- Spatial Point Pattern Analysis of Plants -- Local Statistics -- The Analysis of Spatial Association by Use of Distance Statistics -- Constructing the Spatial Weights Matrix Using a Local Statistic -- Spatial Autocorrelation: A Statistician’s Reflections -- Health Surveillance Around Prespecified Locations Using Case-Control Data -- Applications -- Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and Government Expenditures -- Characteristics of the Spatial Pattern of the Dengue Vector, Aedes aegypti, in Iquitos, Peru -- Spatial Filtering and Missing Georeferenced Data Imputation: A Comparison of the Getis and Griffith Methods -- Spatial Patterns of Fertility in Rural Egypt En línea: http://dx.doi.org/10.1007/978-3-642-01976-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33708 Perspectives on Spatial Data Analysis [documento electrónico] / SpringerLink (Online service) ; Luc Anselin ; Rey, Sergio J . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2010 . - XVIII, 290 p. 51 illus : online resource. - (Advances in Spatial Science, The Regional Science Series, ISSN 1430-9602) .
ISBN : 978-3-642-01976-0
Idioma : Inglés (eng)
Palabras clave: Statistics Economic geography Regional economics Spatial for Business/Economics/Mathematical Finance/Insurance Regional/Spatial Science Geography Clasificación: 51 Matemáticas Resumen: This book takes both a retrospective and prospective view of the field of spatial analysis by combining selected reprints of classic articles by Arthur Getis with current observations by leading experts in the field. Four main aspects are highlighted, dealing with spatial analysis, pattern analysis, local statistics as well as illustrative empirical applications. Researchers and students will gain an appreciation of Getis' methodological contributions to spatial analysis and the broad impact of the methods he has helped pioneer on an impressively broad array of disciplines including spatial epidemiology, demography, economics, and ecology. The volume is a compilation of high impact original contributions, as evidenced by citations, and the latest thinking on the field by leading scholars. This makes the book ideal for advanced seminars and courses in spatial analysis as well as a key resource for researchers seeking a comprehensive overview of recent advances and future directions in the field Nota de contenido: Spatial Analysis -- Perspectives on Spatial Data Analysis -- Spatial Interaction and Spatial Autocorrelation: A Cross-Product Approach -- Spatial Statistical Analysis and Geographic Information Systems -- Whose Hand on the Tiller? Revisiting “Spatial Statistical Analysis and GIS” -- Spatial Interaction and Spatial Autocorrelation -- Pattern Analysis -- Second-Order Analysis of Point Patterns: The Case of Chicago as a Multi-center Urban Region -- Second-Order Neighborhood Analysis of Mapped Point Patterns -- A Class of Local and Global K Functions and Their Exact Statistical Methods -- Spatial Point Pattern Analysis of Plants -- Local Statistics -- The Analysis of Spatial Association by Use of Distance Statistics -- Constructing the Spatial Weights Matrix Using a Local Statistic -- Spatial Autocorrelation: A Statistician’s Reflections -- Health Surveillance Around Prespecified Locations Using Case-Control Data -- Applications -- Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and Government Expenditures -- Characteristics of the Spatial Pattern of the Dengue Vector, Aedes aegypti, in Iquitos, Peru -- Spatial Filtering and Missing Georeferenced Data Imputation: A Comparison of the Getis and Griffith Methods -- Spatial Patterns of Fertility in Rural Egypt En línea: http://dx.doi.org/10.1007/978-3-642-01976-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33708 Ejemplares
Signatura Medio Ubicación Sección Estado ningún ejemplar
Título : Applied Spatial Data Analysis with R Tipo de documento: documento electrónico Autores: Bivand, Roger S ; SpringerLink (Online service) ; Pebesma, Edzer J ; Gómez-Rubio, Virgilio 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] / Bivand, Roger S ; SpringerLink (Online service) ; Pebesma, Edzer J ; Gómez-Rubio, Virgilio . - 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 Sección Estado ningún ejemplar Permalink
PermalinkPermalinkPermalinkPermalink
