Spatial Uncertainty In Ecology


Spatial Uncertainty In Ecology
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Spatial Uncertainty In Ecology


Spatial Uncertainty In Ecology
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Author : Carolyn T. Hunsaker
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01

Spatial Uncertainty In Ecology written by Carolyn T. Hunsaker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Science categories.


This is one of the first books to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research, and thus delivers the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences by way of spatial data. After describing the uses of such data in ecological research, the authors discuss how to account for the effects of uncertainty in various methods of analysis.



Spatial Uncertainty In Ecology


Spatial Uncertainty In Ecology
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Author : Carolyn T. Hunsaker
language : en
Publisher:
Release Date : 2014-09-01

Spatial Uncertainty In Ecology written by Carolyn T. Hunsaker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with categories.




Scaling And Uncertainty Analysis In Ecology


Scaling And Uncertainty Analysis In Ecology
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Author : Jianguo Wu
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-07-02

Scaling And Uncertainty Analysis In Ecology written by Jianguo Wu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-02 with Science categories.


This is the first book of its kind – explicitly considering uncertainty and error analysis as an integral part of scaling. The book draws together a series of important case studies to provide a comprehensive review and synthesis of the most recent concepts, theories and methods in scaling and uncertainty analysis. It includes case studies illustrating how scaling and uncertainty analysis are being conducted in ecology and environmental science.



Scaling And Uncertainty Analysis In Ecology


Scaling And Uncertainty Analysis In Ecology
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Author : Jianguo Wu
language : en
Publisher:
Release Date :

Scaling And Uncertainty Analysis In Ecology written by Jianguo Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


This is the first book of its kind explicitly considering uncertainty and error analysis as an integral part of scaling. The book draws together a series of important case studies to provide a comprehensive review and synthesis of the most recent concepts, theories and methods in scaling and uncertainty analysis. It includes case studies illustrating how scaling and uncertainty analysis are being conducted in ecology and environmental science.



Uncertainty In Remote Sensing And Gis


Uncertainty In Remote Sensing And Gis
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Author : Giles M. Foody
language : en
Publisher: John Wiley & Sons
Release Date : 2003-07-11

Uncertainty In Remote Sensing And Gis written by Giles M. Foody and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-11 with Technology & Engineering categories.


Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue of uncertainty has been incompletely addressed. The situation has arisen in part from a lack of appreciation of uncertainty and the problems it can cause as well as of the techniques that may be used to accommodate it. This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses and interpretations made. Uncertainty in Remote Sensing and GIS provides readers with comprehensive coverage of this largely undocumented subject: * Relevant to a broad variety of disciplines including geography, environmental science, electrical engineering and statistics * Covers range of material from base overviews to specific applications * Focuses on issues connected with uncertainty at various points along typical data analysis chains used in remote sensing and GIS Written by an international team of researchers drawn from a variety of disciplines, Uncertainty in Remote Sensing and GIS provides focussed discussions on topics of considerable importance to a broad research and user community. The book is invaluable reading for researchers, advanced students and practitioners who want to understand the nature of uncertainty in remote sensing and GIS, its limitations and methods of accommodating it.



Modeling Uncertainty In The Earth Sciences


Modeling Uncertainty In The Earth Sciences
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Author : Jef Caers
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-25

Modeling Uncertainty In The Earth Sciences written by Jef Caers and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-25 with Science categories.


Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling the uncertainty of complex Earth systems and the impact that it has on practical situations. The aim of the book is to provide an introductory overview which covers a broad range of tried-and-tested tools. Descriptions of concepts, philosophies, challenges, methodologies and workflows give the reader an understanding of the best way to make decisions under uncertainty for Earth Science problems. The book covers key issues such as: Spatial and time aspect; large complexity and dimensionality; computation power; costs of 'engineering' the Earth; uncertainty in the modeling and decision process. Focusing on reliable and practical methods this book provides an invaluable primer for the complex area of decision making with uncertainty in the Earth Sciences.



Geographic Uncertainty In Environmental Security


Geographic Uncertainty In Environmental Security
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Author : Ashley Morris
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-19

Geographic Uncertainty In Environmental Security written by Ashley Morris and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-19 with Science categories.


This book features papers presented at a NATO Advanced Research Workshop, help in Kyiv, Ukraine, in July 2006. The workshop focused on how uncertainty and fuzziness can be better modeled and implemented in Geographic Information Science to help decision makers make more informed choices, especially as they pertain to environmental security and protection, and brought together top researchers from both NATO countries as well as partner countries.



Future Sustainable Ecosystems


Future Sustainable Ecosystems
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Author : Nathaniel K Newlands
language : en
Publisher: CRC Press
Release Date : 2016-10-03

Future Sustainable Ecosystems written by Nathaniel K Newlands and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-03 with Mathematics categories.


Future Sustainable Ecosystems: Complexity, Risk, Uncertainty provides an interdisciplinary, integrative overview of environmental problem-solving using statistics. It shows how statistics can be used to solve diverse environmental and socio-economic problems involving food, water, energy scarcity, and climate change risks. It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. Discussions include a broad, integrated perspective on sustainability, integrated risk, multi-scale changes and impacts taking place within ecosystems worldwide. State-of-the-art statistical techniques, including Bayesian hierarchical, spatio-temporal, agent-based and game-theoretic approaches are explored. The author then focuses on the real-world integration of observational and experimental data and its use within statistical models.



Quantifying Spatial Uncertainty In Natural Resources


Quantifying Spatial Uncertainty In Natural Resources
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Author : Taylor & Francis Group
language : en
Publisher: CRC Press
Release Date : 2020-06-30

Quantifying Spatial Uncertainty In Natural Resources written by Taylor & Francis Group and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-30 with categories.


This book will be useful both to those new to spatial uncertainty assessment and to experienced practitioners.



Mapping Species Distributions


Mapping Species Distributions
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Author : Janet Franklin
language : en
Publisher: Cambridge University Press
Release Date : 2010-01-07

Mapping Species Distributions written by Janet Franklin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-07 with Nature categories.


Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.