Author: Silvestro Montrone
Publisher: Springer Science & Business Media
ISBN: 8847027500
Category : Mathematics
Languages : en
Pages : 167
Book Description
The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role they can play in spatial planning and environmental modelling. One of the earliest and most famous definition of spatial planning was “a geographical expression to the economic, social, cultural and ecological policies of society”: borrowing from this point of view, this text shows how an interdisciplinary approach is an effective way to an harmonious integration of national policies with regional and local analysis. A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis, nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial association; all of these tools provide the policy-maker with a valuable support to policy development.
Statistical Methods for Spatial Planning and Monitoring
Author: Silvestro Montrone
Publisher: Springer Science & Business Media
ISBN: 8847027519
Category : Mathematics
Languages : en
Pages : 167
Book Description
The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role they can play in spatial planning and environmental modelling. One of the earliest and most famous definition of spatial planning was “a geographical expression to the economic, social, cultural and ecological policies of society”: borrowing from this point of view, this text shows how an interdisciplinary approach is an effective way to an harmonious integration of national policies with regional and local analysis. A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis, nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial association; all of these tools provide the policy-maker with a valuable support to policy development.
Publisher: Springer Science & Business Media
ISBN: 8847027519
Category : Mathematics
Languages : en
Pages : 167
Book Description
The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role they can play in spatial planning and environmental modelling. One of the earliest and most famous definition of spatial planning was “a geographical expression to the economic, social, cultural and ecological policies of society”: borrowing from this point of view, this text shows how an interdisciplinary approach is an effective way to an harmonious integration of national policies with regional and local analysis. A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis, nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial association; all of these tools provide the policy-maker with a valuable support to policy development.
Statistical Methods for Environmental Pollution Monitoring
Author: Richard O. Gilbert
Publisher: John Wiley & Sons
ISBN: 9780471288787
Category : Technology & Engineering
Languages : en
Pages : 348
Book Description
This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustrated. These include: * determining the number of samples needed to find hot spots * analyzing pollution data that are lognormally distributed * testing for trends over time or space * estimating the magnitude of trends * comparing pollution data from two or more populations New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.
Publisher: John Wiley & Sons
ISBN: 9780471288787
Category : Technology & Engineering
Languages : en
Pages : 348
Book Description
This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustrated. These include: * determining the number of samples needed to find hot spots * analyzing pollution data that are lognormally distributed * testing for trends over time or space * estimating the magnitude of trends * comparing pollution data from two or more populations New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.
Statistical Methods for Spatial Data Analysis
Author: Oliver Schabenberger
Publisher: CRC Press
ISBN: 1482258137
Category : Computers
Languages : en
Pages : 507
Book Description
Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.
Publisher: CRC Press
ISBN: 1482258137
Category : Computers
Languages : en
Pages : 507
Book Description
Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.
Computational Science and Its Applications -- ICCSA 2013
Author: Beniamino Murgante
Publisher: Springer
ISBN: 3642396496
Category : Computers
Languages : en
Pages : 708
Book Description
The five-volume set LNCS 7971-7975 constitutes the refereed proceedings of the 13th International Conference on Computational Science and Its Applications, ICCSA 2013, held in Ho Chi Minh City, Vietnam in June 2013. The 248 revised papers presented in five tracks and 33 special sessions and workshops were carefully reviewed and selected. The 46 papers included in the five general tracks are organized in the following topical sections: computational methods, algorithms and scientific applications; high-performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies. The 202 papers presented in special sessions and workshops cover a wide range of topics in computational sciences ranging from computational science technologies to specific areas of computational sciences such as computer graphics and virtual reality.
Publisher: Springer
ISBN: 3642396496
Category : Computers
Languages : en
Pages : 708
Book Description
The five-volume set LNCS 7971-7975 constitutes the refereed proceedings of the 13th International Conference on Computational Science and Its Applications, ICCSA 2013, held in Ho Chi Minh City, Vietnam in June 2013. The 248 revised papers presented in five tracks and 33 special sessions and workshops were carefully reviewed and selected. The 46 papers included in the five general tracks are organized in the following topical sections: computational methods, algorithms and scientific applications; high-performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies. The 202 papers presented in special sessions and workshops cover a wide range of topics in computational sciences ranging from computational science technologies to specific areas of computational sciences such as computer graphics and virtual reality.
Shrinking Cities
Author: Russell Weaver
Publisher: Routledge
ISBN: 1317633601
Category : Science
Languages : en
Pages : 292
Book Description
Shrinking Cities: Understanding Shrinkage and Decline in the United States offers a contemporary look at patterns of shrinkage and decline in the United States. The book juxtaposes the complex and numerous processes that contribute to these patterns with broader policy frameworks that have been under consideration to address shrinkage in U.S. cities. A range of methods are employed to answer theoretically-grounded questions about patterns of shrinkage and decline, the relationships between the two, and the empirical associations among shrinkage, decline, and several socio-economic variables. In doing so, the book examines new spaces of shrinkage in the United States. The book also explores pro-growth and decline-centered governance, which has important implications for questions of sustainability and resilience in U.S. cities. Finally, the book draws attention to U.S.-wide demographic shifts and argues for further research on socio-economic pathways of various groups of population, contextualized within population trends at various geographic scales. This timely contribution contends that an understanding of what the city has become, as it faces shrinkage, is essential toward a critical analysis of development both within and beyond city boundaries. The book will appeal to urban and regional studies scholars from a variety of disciplinary backgrounds, as well as practitioners and policymakers.
Publisher: Routledge
ISBN: 1317633601
Category : Science
Languages : en
Pages : 292
Book Description
Shrinking Cities: Understanding Shrinkage and Decline in the United States offers a contemporary look at patterns of shrinkage and decline in the United States. The book juxtaposes the complex and numerous processes that contribute to these patterns with broader policy frameworks that have been under consideration to address shrinkage in U.S. cities. A range of methods are employed to answer theoretically-grounded questions about patterns of shrinkage and decline, the relationships between the two, and the empirical associations among shrinkage, decline, and several socio-economic variables. In doing so, the book examines new spaces of shrinkage in the United States. The book also explores pro-growth and decline-centered governance, which has important implications for questions of sustainability and resilience in U.S. cities. Finally, the book draws attention to U.S.-wide demographic shifts and argues for further research on socio-economic pathways of various groups of population, contextualized within population trends at various geographic scales. This timely contribution contends that an understanding of what the city has become, as it faces shrinkage, is essential toward a critical analysis of development both within and beyond city boundaries. The book will appeal to urban and regional studies scholars from a variety of disciplinary backgrounds, as well as practitioners and policymakers.
Quietly Shrinking Cities
Author: Maxwell Hartt
Publisher: UBC Press
ISBN: 0774866195
Category : Social Science
Languages : en
Pages : 220
Book Description
At 5 percent, Canada’s population growth was the highest of all G7 countries when the most recent census was taken. But only a handful of large cities drove that growth, attracting human and monetary capital from across the country and leaving myriad social, economic, and environmental challenges behind. Quietly Shrinking Cities investigates a trend that has been largely overlooked: over 20 percent of Canadian cities shrank between 2011 and 2016, and twice that proportion grew more slowly than the national average. Yet continuous, ubiquitous growth is considered normal, and policy and planning professionals have had little success in managing the practical challenges associated with population loss. Declining birth rates and an aging population only compound the phenomenon. This meticulous work demonstrates that shrinking cities need to rethink their planning and development strategies in response to a new demographic reality, questioning whether population loss and prosperity are indeed mutually exclusive.
Publisher: UBC Press
ISBN: 0774866195
Category : Social Science
Languages : en
Pages : 220
Book Description
At 5 percent, Canada’s population growth was the highest of all G7 countries when the most recent census was taken. But only a handful of large cities drove that growth, attracting human and monetary capital from across the country and leaving myriad social, economic, and environmental challenges behind. Quietly Shrinking Cities investigates a trend that has been largely overlooked: over 20 percent of Canadian cities shrank between 2011 and 2016, and twice that proportion grew more slowly than the national average. Yet continuous, ubiquitous growth is considered normal, and policy and planning professionals have had little success in managing the practical challenges associated with population loss. Declining birth rates and an aging population only compound the phenomenon. This meticulous work demonstrates that shrinking cities need to rethink their planning and development strategies in response to a new demographic reality, questioning whether population loss and prosperity are indeed mutually exclusive.
Urban and Regional Planning and Development
Author: Rajiv R. Thakur
Publisher: Springer Nature
ISBN: 3030317765
Category : Political Science
Languages : en
Pages : 539
Book Description
This book discusses urban planning and regional development practices in the twentieth century, and ways in which they are currently being transformed. It addresses questions such as: What are the factors affecting planning dynamics at local, regional, national and global scales? With the push to adopt a market paradigm in land development and infrastructure, the relationship between resource management, sustainable development and the role of governance has been transformed. Centralized planning is giving way to privatization, not only in the traditional regions but also in newly emerging regions of Asia, Africa and Latin America. Further, attempts are being made to bring planning related decision-making closer to the people who are most affected by it. Presenting a collection of studies from scholars around the world and highlighting recent advances in the field, the book is a valuable reference guide for those engaged in urban transformations, whether as graduate students, researchers, practitioners or policymakers.
Publisher: Springer Nature
ISBN: 3030317765
Category : Political Science
Languages : en
Pages : 539
Book Description
This book discusses urban planning and regional development practices in the twentieth century, and ways in which they are currently being transformed. It addresses questions such as: What are the factors affecting planning dynamics at local, regional, national and global scales? With the push to adopt a market paradigm in land development and infrastructure, the relationship between resource management, sustainable development and the role of governance has been transformed. Centralized planning is giving way to privatization, not only in the traditional regions but also in newly emerging regions of Asia, Africa and Latin America. Further, attempts are being made to bring planning related decision-making closer to the people who are most affected by it. Presenting a collection of studies from scholars around the world and highlighting recent advances in the field, the book is a valuable reference guide for those engaged in urban transformations, whether as graduate students, researchers, practitioners or policymakers.
Statistical Detection and Surveillance of Geographic Clusters
Author: Peter Rogerson
Publisher: CRC Press
ISBN: 1584889365
Category : Mathematics
Languages : en
Pages : 348
Book Description
The widespread popularity of geographic information systems (GIS) has led to new insights in countless areas of application. It has facilitated not only the collection and storage of geographic data, but also the display of such data. Building on this progress by using an integrated approach, Statistical Detection and Monitoring of Geographic Clust
Publisher: CRC Press
ISBN: 1584889365
Category : Mathematics
Languages : en
Pages : 348
Book Description
The widespread popularity of geographic information systems (GIS) has led to new insights in countless areas of application. It has facilitated not only the collection and storage of geographic data, but also the display of such data. Building on this progress by using an integrated approach, Statistical Detection and Monitoring of Geographic Clust
Sustainable Energy-Water-Environment Nexus in Deserts
Author: Essam Heggy
Publisher: Springer Nature
ISBN: 3030760812
Category : Technology & Engineering
Languages : en
Pages : 811
Book Description
This book addresses challenges and opportunities in the Energy-Water-Environment (EWE) nexus, with a particular focus on research and technology development requirements in harsh desert climates. Its chapters include selected contributions presented during the 1st international conference on sustainable Energy-Water-Environment nexus in desert climates (ICSEWEN-19) held at the Qatar Environment and Energy Research Institute (QEERI) in Doha, Qatar in December 2019. This volume is comprised of three main chapters, each describing important case studies and progress on water, energy and environmental questions. A fourth chapter on policies and community outreach on these three areas is also included. This compilation aims to bridge the gap between research and industry to address the socioeconomic impacts of the nexus imbalance as perceived by scientists, industrial partners, and policymakers. The content of this book is of particular importance to graduate students, researchers and decision makers interested in understanding water, energy and environmental challenges in arid areas. Re searchers in environmental and civil engineering, chemistry, hydrology and environmental science can also find unique in-situ observations of the current nexus imbalance in deserts climate to validate their investigations. It is also an invaluable guide for industry professionals working in water, energy, environment and food sectors to understand the rapidly evolving landscape of the EWE nexus in arid areas. The analyses, observations and lessons-learned summarized herein are applicable to other arid areas outside North Africa and the Arabian Peninsula as well, such as central Australia, the southwest of the United States and deserts in central Asia.
Publisher: Springer Nature
ISBN: 3030760812
Category : Technology & Engineering
Languages : en
Pages : 811
Book Description
This book addresses challenges and opportunities in the Energy-Water-Environment (EWE) nexus, with a particular focus on research and technology development requirements in harsh desert climates. Its chapters include selected contributions presented during the 1st international conference on sustainable Energy-Water-Environment nexus in desert climates (ICSEWEN-19) held at the Qatar Environment and Energy Research Institute (QEERI) in Doha, Qatar in December 2019. This volume is comprised of three main chapters, each describing important case studies and progress on water, energy and environmental questions. A fourth chapter on policies and community outreach on these three areas is also included. This compilation aims to bridge the gap between research and industry to address the socioeconomic impacts of the nexus imbalance as perceived by scientists, industrial partners, and policymakers. The content of this book is of particular importance to graduate students, researchers and decision makers interested in understanding water, energy and environmental challenges in arid areas. Re searchers in environmental and civil engineering, chemistry, hydrology and environmental science can also find unique in-situ observations of the current nexus imbalance in deserts climate to validate their investigations. It is also an invaluable guide for industry professionals working in water, energy, environment and food sectors to understand the rapidly evolving landscape of the EWE nexus in arid areas. The analyses, observations and lessons-learned summarized herein are applicable to other arid areas outside North Africa and the Arabian Peninsula as well, such as central Australia, the southwest of the United States and deserts in central Asia.
Spatial Modeling in GIS and R for Earth and Environmental Sciences
Author: Hamid Reza Pourghasemi
Publisher: Elsevier
ISBN: 0128156953
Category : Science
Languages : en
Pages : 800
Book Description
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example
Publisher: Elsevier
ISBN: 0128156953
Category : Science
Languages : en
Pages : 800
Book Description
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example