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Bayesian Applications in Environmental and Ecological Studies with R and Stan
Modern ecological and environmental sciences are dominated by observational data. As a result, traditional statistical training often leaves scientists ill-prepared for the data analysis tasks they encounter in their work. Bayesian methods provide a more robust and flexible tool for data analysis, as they enable information from different sources to be brought into the modelling process. Bayesian Applications in Evnironmental and Ecological Studies with R and Stan provides a Bayesian framework for model formulation, parameter estimation, and model evaluation in the context of analyzing environmental and ecological data. Features: An accessible overview of Bayesian methods in environmental an...
Water Studies
Comprising specially selected papers this book presents trans-disciplinary research on issues related to the nature of water, and its use and exploitation by society. The valuable research contained in this book demonstrates the need to bridge the gap between physical, biological, environmental and health sciences. Water is essential for sustaining life on our planet, nevertheless its unequal distribution is a source of permanent conflict. It is predicted that population growth and irregular rainfall, due to climate change, may lead to more restricted access to water in certain regions of the world. This problem is made even more severe by human actions that can cause degradation to nature a...
River Basin Management IX
Forming the 9th volume from this successful international conference series, this book marks a growing global interest in the planning, design and management of river basin systems. The included papers take in to account all aspects of Hydrology, Ecology, Environmental Management, Flood Plains and Wetlands. In recent years, work on river restoration and rehabilitation has had various degrees of success. Changes in the landscape, use of the land and climate conditions lead to a continuous revaluation of river basin management objectives requiring the development of better measuring tools in conjunction with accurate computer technology. Floods and associated landslides, erosion and sedimentat...
Spatial Linear Models for Environmental Data
Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOVA as pillars of applied statistics, to achieve a more comprehensive treatment of the analysis of spatially autocorrelated data. Spatial Linear Models for Environmental Data, aimed at students and professionals with a master’s level training in statistics, presents a unique, applied, and thorough treatment of spatial linear models within a statistics framework. Two subfields, one called geostatistics and the other called areal or lattice models, are extensively covered. Zimmerman and Ver Hoef present topics clearly, using many exampl...
Water and Society IV
This volume presents papers from the 4th International Conference on Water & Society. The focus of the conference was to encourage trans-disciplinary communication on issues related to the nature of water, and its use and exploitation by society. The valuable research contained in this book demonstrates the need to bridge the gap between specialists in physical sciences, biology, environmental sciences and health. The availability of clean and inexpensive water can no longer be taken for granted as the need for water continues to increase due a growing global population. Heavy water consumers such as agriculture and industry often contribute to its contamination. Water distribution networks ...
Water Pollution XIV
Water pollution problems are of continued importance around the world, with an impact on both populated areas and the environment. This volume consists of papers presented at the 14th International Conference in the series of Monitoring, Modelling and Management of Water Pollution. The environmental problems caused by the increase of pollutant loads discharged into natural water bodies requires the formation of a framework for regulation and control. This framework needs to be based on scientific results that relate pollutant discharge with changes in water quality. The results of these studies allow industry to apply more efficient methods of controlling and treating waste loads, and water ...
Water Resources Management IX
Containing papers from the ninth International Conference on Sustainable Water Resources Management, this book presents the work of scientists, practitioners and other experts regarding recent technological and scientific developments associated with the management of surface and sub-surface water resources. Water is essential for sustaining life on our planet, nevertheless its unequal distribution is a source of permanent conflict. It is predicted that population growth and irregular rainfall, due to climate change, may lead to more restricted access to water in certain regions of the world. This problem is made even more severe by human actions that can cause degradation to nature and the environment. These papers cover such topics as: Water management and planning; Water rights and accessibility; Water markets economics and policies; Climate change; Sedimental soil erosion; Irrigation; Water resources in arid regions; Ground water; Urban water management; Hydraulic engineering; Trans-boundary water management; Water, food and energy; Socio-economic aspects; Innovative technologies; Water and the community; Integrated water analysis; Wetlands as water sources.
Spatio-Temporal Models for Ecologists
Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. However, spatio-temporal statistics is often presented using a set of principles that may seem very distant from ecological theory or practice. This book seeks to introduce a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community compositio...
Environmental and Ecological Statistics with R
Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R connects applied statistics to the environmental and ecological fields. It follows the general approach to solving a statistical modeling problem, covering model specification, parameter estimation, and model evaluation. The author uses many exa
Implementing Sustainable Development
Despite all the talk of sustainability, there has not been enough action to halt or reverse the impacts of climate change. Decades after the Rio Earth Summit and despite the many policies and commitments to move toward sustainable development, there continues to be a serious implementation gap. Implementing Sustainable Development focuses on the challenges of turning international commitments and policy promises into local action. Through global examples and cases, the authors examine not only the core principles, but also successful and failed efforts to address the social, environmental, and economic dimensions of sustainable development. They systematically guide readers through the techn...
