Spatial Uncertainty in Ecology PDF Download

Author: Carolyn T. Hunsaker
Publisher:
ISBN: 9781461302100
Category :
Languages : en
Pages : 428

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Author: Carolyn T. Hunsaker
Publisher: Springer Science & Business Media
ISBN: 1461302099
Category : Science
Languages : en
Pages : 417

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Book Description
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.

Author: Jianguo Wu
Publisher: Springer Science & Business Media
ISBN: 1402046634
Category : Science
Languages : en
Pages : 354

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Book Description
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.

Author: Giles M. Foody
Publisher: John Wiley & Sons
ISBN: 0470859245
Category : Technology & Engineering
Languages : en
Pages : 326

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Book Description
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.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Atte Moilanen
Publisher: Oxford University Press, USA
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 336

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Book Description
In a coherent and comprehensive set of chapters, a team of leading scientists describe the present state-of-the-art in spatial conservation planning methodology with a focus on operational definitions and methods, supported by the latest technological details and applications of publicly available software.

Author: Ashley Morris
Publisher: Springer
ISBN: 1402064381
Category : Science
Languages : en
Pages : 286

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Book Description
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.

Author: Jianguo Wu
Publisher:
ISBN: 9780231131711
Category :
Languages : en
Pages : 400

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Book Description
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.

Author: Wenzhong Shi
Publisher: CRC Press
ISBN: 1420059289
Category : Mathematics
Languages : en
Pages : 456

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Book Description
When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t

Author: Janet Franklin
Publisher: Cambridge University Press
ISBN: 1139485296
Category : Nature
Languages : en
Pages : 538

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Book Description
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.