Mapping Uncertainty in Medicne

Mapping Uncertainty in Medicne

Author: Avril Danczak

Publisher: Royal College of General Practitioners

Published: 2016-02-28

Total Pages: 342

ISBN-13: 0850844185

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Uncertainty is the norm in medical practice, yet often gives rise to distress in clinicians, who fear they will make shameful or guilt inducing errors. This book offers a succinct method to clinicians for classifying uncertainty and finding the right skills to manage different types of uncertainty successfully. Every clinician experiences moments when 'they don't know what to do'. Modern medicine is increasingly complex and training has also become more complicated. The days of 'see one, do one, teach one' are over. Yet, both younger clinicians and senior practitioners describe uncertainty as one of the most challenging and stressful aspects of clinical work. If uncertainty is uncomfortable or threatening to individual practitioners, it also provides complex educational challenges. How can we learn to cope with uncertainty effectively ourselves? How can we teach others to understand and manage uncertainty? In this ground breaking book, the authors propose ways to cut through uncertainty, which is explored as an inevitable (and even desirable) component of clinical practice. A Map of Uncertainty in Medicine (MUM) is used to classify uncertainty and to define the skills that will help find a way though practical difficulties. It is always good to have your MUM with you in a tricky situation!


Flood Inundation Modeling and Hazard Mapping under Uncertainty in the Sungai Johor Basin, Malaysia

Flood Inundation Modeling and Hazard Mapping under Uncertainty in the Sungai Johor Basin, Malaysia

Author: Anuar Bin Md. Ali

Publisher: CRC Press

Published: 2018-04-17

Total Pages: 188

ISBN-13: 0429889488

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Flooding can have devastating impacts on people’s livelihood, economy and the environment. An important instrument in flood management is floodplain maps, which assist land planners and local authorities in identifying flood-prone areas, and provide useful information for rescue and relief agencies for their operations. Developing floodplain maps often involves flood inundation modeling. This typically requires precipitation and stream flow data, topographic information, building a hydraulic model and calibration of its parameters. Often however, floodplain maps are built on a single model outcome without an explicit consideration of all the sources of uncertainty in the modeling process. The research presented in this thesis addresses the uncertainty in flood inundation modeling, which may arise from input data and hydraulic modeling approach. The study area is the Sungai Johor basin in Johor, Malaysia, an agriculture-dominated area. The present study analyses the modelling uncertainties arising from estimations of design flow, terrain data sets, geometric description in hydraulic models and different modeling approaches, and develops recommendations for practitioners. Explicit account for uncertainties and studying their impact in flood inundation mapping allow for more informed and effective decision making.


Flood Inundation Modeling and Hazard Mapping Under Uncertainty in the Sungai Johor Basin, Malaysia

Flood Inundation Modeling and Hazard Mapping Under Uncertainty in the Sungai Johor Basin, Malaysia

Author: Anuar Bin Md Ali

Publisher:

Published: 2018

Total Pages: 160

ISBN-13: 9780429889479

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"Flooding can have devastating impacts on peoples livelihood, economy and the environment. One way to minimize flood losses is using floodplain maps, which assist land planners and local authorities in identifying flood-prone areas, and provide useful information for rescue and relief agencies for their operations. Developing floodplain maps often involves flood inundation modeling. This typically requires precipitation and stream flow data, topographic information, the selection of a hydraulic model and the calibration of its parameters. A common representation of floodplain map is based on a single outcome without an explicit consideration of all the sources of uncertainty in the modeling process. The research presented in this thesis addresses the uncertainty in the flood inundation modeling, which may arise from input data and hydraulic modeling approach. The study area is the Sungai Johor basin in Johor, Malaysia, which is an agricultural dominated area.By using a set of sample data for Sungai Johor Basin, the case study show the uncertainties arising from an estimation of design flow, terrain data sets, geometric description in hydraulic models and different modeling approaches.The intent of the research in flood inundation maps is to emphasize the impact of uncertainties in flood inundation maps that not only provide useful results but also suggested further research and improvement of flood inundation mapping practices."--Provided by publisher.


Advances in Spatial Data Handling

Advances in Spatial Data Handling

Author: Dianne Richardson

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 584

ISBN-13: 3642560946

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This book, entitled Advances in Spatial Data Handling, is a compendium of papers resulting from the International Symposium on Spatial Data Handling (SDH), held in Ottawa, Canada, July 9-12, 2002. The SDH conference series has been organised as one of the main activities of the International Geographical Union (IGU) since it was first started in Zurich in 1984. In the late 1990’s the IGU Commission of Geographic Information Systems was discontinued and a study group was formed to succeed it in 1997. Much like the IGU Commission, the objectives of the Study Group are to create a network of people and research centres addressing geographical information science and to facilitate exchange of information. The International Symposium on Spatial Data Handling, which is the most important activity of the IGU Study Group, has, throughout its 18 year history been highly regarded as one of the most important GIS conferences in the world.


Modeling and Management of Resources under Uncertainty

Modeling and Management of Resources under Uncertainty

Author: Thomas L. Vincent

Publisher: Springer Science & Business Media

Published: 2013-03-08

Total Pages: 329

ISBN-13: 3642933653

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This vol ume contains the proceedings of the second U. S. -Austral ia workshop on Renewable Resource Management held at the East-West Center, Honolulu, Hawaii, December 9-12, 1985. The workshop was jointly sponsored by the National Science Foundation (USA) and the Department of Science and Technology (Austral ia) under the U. S. -Austral ia Cooperative Science Program. The objective of the workshop was to focus on problems associated with the management of renewable resource systems. A particular emphasis was given to methods for handling uncertain elements whieh are present in any real system. Toward this end, the partiei pants were chosen so that the collective expertise included mathematical modeling, dynamical control/game theory, ecology, and practical management of real systems. Each participant was invited to give an informal presentation in his field of expertise as related to the overall theme. The formal papers (contained in this vo 1 ume) were written after the workshop so that the authors coul d util ize the workshop experience in relating their own work to others. To further encourage this exchange, each paper contained in this volume was reviewed by two other participants who then wrote formal comments. These comments (with author's reply in some cases) are attached to the end of each paper.


Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author: Khaled Mellouli

Publisher: Springer Science & Business Media

Published: 2007-09-21

Total Pages: 926

ISBN-13: 3540752552

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This book constitutes the refereed proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2007, held in Hammammet, Tunisia, Oktober 31 - November 2, 2007. The 78 revised full papers presented together with 3 invited papers were carefully reviewed and selected from over hundret submissions for inclusion in the book. The papers are organized in topical sections on Bayesian networks, graphical models, learning causal networks, planning, causality and independence, preference modelling and decision, argumentation systems, inconsistency handling, belief revision and merging, belief functions, fuzzy models, many-valued logical systems, uncertainty logics, probabilistic reasoning, reasoning models under uncertainty, uncertainty measures, probabilistic classifiers, classification and clustering, and industrial applications.


Uncertainty in Remote Sensing and GIS

Uncertainty in Remote Sensing and GIS

Author: Giles M. Foody

Publisher: John Wiley & Sons

Published: 2003-07-11

Total Pages: 326

ISBN-13: 0470859245

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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.


Predictive Soil Mapping with R

Predictive Soil Mapping with R

Author: Tomislav Hengl

Publisher: Lulu.com

Published: 2018-12-20

Total Pages: 372

ISBN-13: 0359306357

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Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and a number of other sciences. Predictive Soil Mapping with R is about understanding the main concepts behind soil mapping, mastering R packages that can be used to produce high quality soil maps, and about optimizing all processes involved so that also the production costs can be reduced. The online version of the book is available at: https: //envirometrix.github.io/PredictiveSoilMapping/ Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC's Global Soil Information Facilities (GSIF) development team over the period 2014-2017


Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012)

Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012)

Author: Subrata Chakraborty

Publisher: Springer Science & Business Media

Published: 2013-03-12

Total Pages: 1322

ISBN-13: 8132207572

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International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012) is organized by Bengal Engineering and Science University, India during the first week of January 2012 at Kolkata. The primary aim of ISEUSAM 2012 is to provide a platform to facilitate the discussion for a better understanding and management of uncertainty and risk, encompassing various aspects of safety and reliability of engineering systems. The conference received an overwhelming response from national as well as international scholars, experts and delegates from different parts of the world. Papers received from authors of several countries including Australia, Canada, China, Germany, Italy, UAE, UK and USA, besides India. More than two hundred authors have shown their interest in the symposium. The Proceedings presents ninety two high quality papers which address issues of uncertainty encompassing various fields of engineering, i.e. uncertainty analysis and modelling, structural reliability, geotechnical engineering, vibration control, earthquake engineering, environmental engineering, stochastic dynamics, transportation system, system identification and damage assessment, and infrastructure engineering.