Principles Of Modeling Uncertainties In Spatial Data And Spatial Analyses

Author : Wenzhong Shi
Publisher : CRC Press
ISBN 13 : 1420059289
Total Pages : 456 pages
Book Rating : 4.81/5 ( download)

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Download or read book Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses written by Wenzhong Shi and published by CRC Press. This book was released on 2009-09-30 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Shi Wenzhong
Publisher : CRC Press
ISBN 13 : 1498733344
Total Pages : 312 pages
Book Rating : 4.42/5 ( download)

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Download or read book Uncertainty Modelling and Quality Control for Spatial Data written by Shi Wenzhong and published by CRC Press. This book was released on 2015-11-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers New Insight on Uncertainty ModellingFocused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information science (GIS) applications. By using original research, current advancement, and

Author : Jingxiong Zhang
Publisher : CRC Press
ISBN 13 : 0203471326
Total Pages : 277 pages
Book Rating : 4.26/5 ( download)

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Download or read book Uncertainty in Geographical Information written by Jingxiong Zhang and published by CRC Press. This book was released on 2002-03-29 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: As Geographic Information Systems (GIS) develop, there is a need to demystify the complex geographical world to facilitate computerization in GIS by the inaccuracies that emerge from man-machine interactions in data acquisition and by error propagation in geoprocessing. Users need to be aware of the impacts of uncertainties in spatial analysis and decision-making. Uncertainty in Geographical Information discusses theoretical and practical aspects of spatial data processing and uncertainties, and covers a wide range of types of errors and fuzziness and emphasizes description and modeling. High level GIS professionals, researchers and graduate students will find this a constructive book.

Author : Carolyn T. Hunsaker
Publisher : Springer Science & Business Media
ISBN 13 : 1461302099
Total Pages : 417 pages
Book Rating : 4.94/5 ( download)

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Download or read book Spatial Uncertainty in Ecology written by Carolyn T. Hunsaker and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Sergio J. Rey
Publisher : Edward Elgar Publishing
ISBN 13 : 1789903947
Total Pages : 589 pages
Book Rating : 4.42/5 ( download)

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Download or read book Handbook of Spatial Analysis in the Social Sciences written by Sergio J. Rey and published by Edward Elgar Publishing. This book was released on 2022-11-18 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences.

Author : Griffith, Daniel A.
Publisher : Edward Elgar Publishing
ISBN 13 : 1800372825
Total Pages : 125 pages
Book Rating : 4.25/5 ( download)

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Download or read book Advanced Introduction to Spatial Statistics written by Griffith, Daniel A. and published by Edward Elgar Publishing. This book was released on 2022-08-12 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline.

Author : Sudipto Banerjee
Publisher : CRC Press
ISBN 13 : 1135438080
Total Pages : 470 pages
Book Rating : 4.81/5 ( download)

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Download or read book Hierarchical Modeling and Analysis for Spatial Data written by Sudipto Banerjee and published by CRC Press. This book was released on 2003-12-17 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly focused on specific aspects of spatial analysis,

Author : Mireille Batton-Hubert
Publisher : John Wiley & Sons
ISBN 13 : 1119648831
Total Pages : 172 pages
Book Rating : 4.33/5 ( download)

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Download or read book Geographic Data Imperfection 1 written by Mireille Batton-Hubert and published by John Wiley & Sons. This book was released on 2019-08-16 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geomatics is a field of science that has been intimately intertwined with our daily lives for almost 30 years, to the point where we often forget all the challenges it entails. Who does not have a navigation application on their phone or regularly engage with geolocated data? What is more, in the coming decades, the accumulation of geo-referenced data is expected to increase significantly. This book focuses on the notion of the imperfection of geographic data, an important topic in geomatics. It is essential to be able to define and represent the imperfections that are encountered in geographical data. Ignoring these imperfections can lead to many risks, for example in the use of maps which may be rendered inaccurate. It is, therefore, essential to know how to model and treat the different categories of imperfection. A better awareness of these imperfections will improve the analysis and the use of this type of data.

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309449944
Total Pages : 135 pages
Book Rating : 4.46/5 ( download)

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Download or read book From Maps to Models written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-10-31 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: The United States faces numerous, varied, and evolving threats to national security, including terrorism, scarcity and disruption of food and water supplies, extreme weather events, and regional conflicts around the world. Effectively managing these threats requires intelligence that not only assesses what is happening now, but that also anticipates potential future threats. The National Geospatial-Intelligence Agency (NGA) is responsible for providing geospatial intelligence on other countriesâ€"assessing where exactly something is, what it is, and why it is importantâ€"in support of national security, disaster response, and humanitarian assistance. NGA's approach today relies heavily on imagery analysis and mapping, which provide an assessment of current and past conditions. However, augmenting that approach with a strong modeling capability would enable NGA to also anticipate and explore future outcomes. A model is a simplified representation of a real-world system that is used to extract explainable insights about the system, predict future outcomes, or explore what might happen under plausible what-if scenarios. Such models use data and/or theory to specify inputs (e.g., initial conditions, boundary conditions, and model parameters) to produce an output. From Maps to Models: Augmenting the Nation's Geospatial Intelligence Capabilities describes the types of models and analytical methods used to understand real-world systems, discusses what would be required to make these models and methods useful for geospatial intelligence, and identifies supporting research and development for NGA. This report provides examples of models that have been used to help answer the sorts of questions NGA might ask, describes how to go about a model-based investigation, and discusses models and methods that are relevant to NGA's mission.

Author : Bruce G. Marcot
Publisher : CRC Press
ISBN 13 : 1000244571
Total Pages : 360 pages
Book Rating : 4.71/5 ( download)

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Download or read book The Science and Management of Uncertainty written by Bruce G. Marcot and published by CRC Press. This book was released on 2020-11-26 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management. The focus of this book is on the kinds and implications of uncertainty in environmental modeling and management, with practical guidelines and examples for successful modeling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modeling, and communicating uncertainty; practical guidelines for capturing and representing expert knowledge and judgment; explanations of the role of uncertainty in decision-making; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of real-world ecological modeling and risk analysis to illustrate the concepts and approaches. Case topics provide examples of structured decision-making, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in real-world situations. Also provided is a glossary and a suite of references.