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Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.
Biomathematics. Biometry. Biostatistics --- General ecology and biosociology --- Epidemiology --- Environmental protection. Environmental technology --- Forestry --- medische statistiek --- biostatistiek --- statistiek --- epidemiologie --- ecologie --- biometrie --- milieutechnologie --- bossen --- Ecology --- R (Computer program language) --- Ecologie --- R (Langage de programmation) --- Statistical methods --- Data processing --- Méthodes statistiques --- Informatique --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- GNU-S (Computer program language) --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- numerieke ecologie --- R language --- Environmental sciences --- Population biology --- Domain-specific programming languages --- Statistical methods. --- Data processing. --- R (Computer program language).
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This book is a pivotal publication that seeks to address contemporary challenges to the blue economy in view of the growth in exploration and utilization of natural resources, transport connectivity, effects of climate change, sustainable fisheries management, food security, and social and economic issues of human well-being in coastal areas. Coastal territories and water areas are changing at an unprecedented pace in ways that fundamentally affect ecosystems, people, biodiversity, and sustainability. Such changes are driven primarily by rapid social and economic developments, economic disparities between countries, the internationalization of production and value chains, and industrialization. In this context, this publication supplements the existing literature by summoning political, economic, environmental, and social factors that influence various dimensions of the sustainable development of blue economy, as well as translating the findings into workable approaches and policies for the benefit of the economic actors, people, and the environment.
Research & information: general --- Ukraine --- coastal regions --- demographic structure --- regional economic performance --- sustainability --- Blue Economy (BE) sectors --- maritime transport --- legislative framework --- China --- connectivity --- COVID-19 pandemic --- maritime trade --- Polar Silk Road --- shipping --- blue economy (BE) --- coastal tourism --- bibliometric analysis --- R language --- CiteSpace --- VOSviewer --- visualization --- ASEAN --- comparative advantage --- fish --- fishery products --- RCEP --- seafood --- trade --- marine economic efficiency --- marine industrial structure upgrading --- spillover effect --- spatial Durbin model --- Arctic Zone of the Russian Federation --- blue economy --- coastal areas and municipalities --- regional and urban planning --- sustainable development strategies --- online education --- distance learning --- the Arctic region --- educational institutions --- employers --- ocean governance --- policy development --- transformation --- economic growth --- pollution --- panel data analysis --- oxidative stress --- heavy metals --- Danube River --- Black Sea --- machine learning --- fish stocks --- water quality --- forecast models
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The importance of evapotranspiration is well-established in different disciplines such as hydrology, agronomy, climatology, and other geosciences. Reliable estimates of evapotranspiration are also vital to develop criteria for in-season irrigation management, water resource allocation, long-term estimates of water supply, demand and use, design and management of water resources infrastructure, and evaluation of the effect of land use and management changes on the water balance. The objective of this Special Issue is to define and discuss several ET terms, including potential, reference, and actual (crop) ET, and present a wide spectrum of innovative research papers and case studies.
Research & information: general --- evapotranspiration --- machine learning --- local --- spatial --- subhumid climate --- agricultural drought --- drought characteristics --- evapotranspiration deficit index --- parameter sensitivity --- temporal scale sensitivity --- water stress anomaly --- interception --- linear storage model --- evaporation --- cover crop --- water balance --- faba bean --- GK2A/AMI --- artificial neural network --- Korean Peninsula --- CWSI --- UAV --- remote sensing --- micrometeorological data --- spatial IRT measurements --- crop irrigation scheduling and management --- infrared radiometer sensors --- real-time data analysis --- water reservoir --- regression --- observed data --- ERA5-Land data --- R language --- precipitation --- drought --- Mann–Kendall --- trend analysis --- actual evapotranspiration --- potential evapotranspiration --- reference evapotranspiration --- evaporation paradox --- global dimming --- wind stilling --- forest fires --- groundwater --- stochastic simulation --- marginal structure --- long-range dependence --- Hurst–Kolmogorov dynamics --- RASPOTION --- parametric model --- hydrological calibration --- evapotranspiration estimation --- urban rain gardens --- lysimeters --- evapotranspiration models --- n/a --- Mann-Kendall --- Hurst-Kolmogorov dynamics
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This book is a pivotal publication that seeks to address contemporary challenges to the blue economy in view of the growth in exploration and utilization of natural resources, transport connectivity, effects of climate change, sustainable fisheries management, food security, and social and economic issues of human well-being in coastal areas. Coastal territories and water areas are changing at an unprecedented pace in ways that fundamentally affect ecosystems, people, biodiversity, and sustainability. Such changes are driven primarily by rapid social and economic developments, economic disparities between countries, the internationalization of production and value chains, and industrialization. In this context, this publication supplements the existing literature by summoning political, economic, environmental, and social factors that influence various dimensions of the sustainable development of blue economy, as well as translating the findings into workable approaches and policies for the benefit of the economic actors, people, and the environment.
Research & information: general --- Ukraine --- coastal regions --- demographic structure --- regional economic performance --- sustainability --- Blue Economy (BE) sectors --- maritime transport --- legislative framework --- China --- connectivity --- COVID-19 pandemic --- maritime trade --- Polar Silk Road --- shipping --- blue economy (BE) --- coastal tourism --- bibliometric analysis --- R language --- CiteSpace --- VOSviewer --- visualization --- ASEAN --- comparative advantage --- fish --- fishery products --- RCEP --- seafood --- trade --- marine economic efficiency --- marine industrial structure upgrading --- spillover effect --- spatial Durbin model --- Arctic Zone of the Russian Federation --- blue economy --- coastal areas and municipalities --- regional and urban planning --- sustainable development strategies --- online education --- distance learning --- the Arctic region --- educational institutions --- employers --- ocean governance --- policy development --- transformation --- economic growth --- pollution --- panel data analysis --- oxidative stress --- heavy metals --- Danube River --- Black Sea --- machine learning --- fish stocks --- water quality --- forecast models
Choose an application
The importance of evapotranspiration is well-established in different disciplines such as hydrology, agronomy, climatology, and other geosciences. Reliable estimates of evapotranspiration are also vital to develop criteria for in-season irrigation management, water resource allocation, long-term estimates of water supply, demand and use, design and management of water resources infrastructure, and evaluation of the effect of land use and management changes on the water balance. The objective of this Special Issue is to define and discuss several ET terms, including potential, reference, and actual (crop) ET, and present a wide spectrum of innovative research papers and case studies.
evapotranspiration --- machine learning --- local --- spatial --- subhumid climate --- agricultural drought --- drought characteristics --- evapotranspiration deficit index --- parameter sensitivity --- temporal scale sensitivity --- water stress anomaly --- interception --- linear storage model --- evaporation --- cover crop --- water balance --- faba bean --- GK2A/AMI --- artificial neural network --- Korean Peninsula --- CWSI --- UAV --- remote sensing --- micrometeorological data --- spatial IRT measurements --- crop irrigation scheduling and management --- infrared radiometer sensors --- real-time data analysis --- water reservoir --- regression --- observed data --- ERA5-Land data --- R language --- precipitation --- drought --- Mann–Kendall --- trend analysis --- actual evapotranspiration --- potential evapotranspiration --- reference evapotranspiration --- evaporation paradox --- global dimming --- wind stilling --- forest fires --- groundwater --- stochastic simulation --- marginal structure --- long-range dependence --- Hurst–Kolmogorov dynamics --- RASPOTION --- parametric model --- hydrological calibration --- evapotranspiration estimation --- urban rain gardens --- lysimeters --- evapotranspiration models --- n/a --- Mann-Kendall --- Hurst-Kolmogorov dynamics
Choose an application
This book is a pivotal publication that seeks to address contemporary challenges to the blue economy in view of the growth in exploration and utilization of natural resources, transport connectivity, effects of climate change, sustainable fisheries management, food security, and social and economic issues of human well-being in coastal areas. Coastal territories and water areas are changing at an unprecedented pace in ways that fundamentally affect ecosystems, people, biodiversity, and sustainability. Such changes are driven primarily by rapid social and economic developments, economic disparities between countries, the internationalization of production and value chains, and industrialization. In this context, this publication supplements the existing literature by summoning political, economic, environmental, and social factors that influence various dimensions of the sustainable development of blue economy, as well as translating the findings into workable approaches and policies for the benefit of the economic actors, people, and the environment.
Ukraine --- coastal regions --- demographic structure --- regional economic performance --- sustainability --- Blue Economy (BE) sectors --- maritime transport --- legislative framework --- China --- connectivity --- COVID-19 pandemic --- maritime trade --- Polar Silk Road --- shipping --- blue economy (BE) --- coastal tourism --- bibliometric analysis --- R language --- CiteSpace --- VOSviewer --- visualization --- ASEAN --- comparative advantage --- fish --- fishery products --- RCEP --- seafood --- trade --- marine economic efficiency --- marine industrial structure upgrading --- spillover effect --- spatial Durbin model --- Arctic Zone of the Russian Federation --- blue economy --- coastal areas and municipalities --- regional and urban planning --- sustainable development strategies --- online education --- distance learning --- the Arctic region --- educational institutions --- employers --- ocean governance --- policy development --- transformation --- economic growth --- pollution --- panel data analysis --- oxidative stress --- heavy metals --- Danube River --- Black Sea --- machine learning --- fish stocks --- water quality --- forecast models
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