Browse Results

Showing 5,876 through 5,900 of 100,000 results

Applied Physiology in Intensive Care Medicine

by Michael R. Pinsky Laurent Brochard Jordi Mancebo

Te practice of intensive care medicine is at the very forefront of titration of treatment andmonitoringresponse. Te substrateofthiscareisthe criticallyill patientwho,by defnition, is at the limits of his or her physiologic reserve. Such patients need immediate, aggressive but balanced life-altering interventions to minimize the detrimental aspects of acute illness and hasten recovery. Treatmentdecisionsandresponsetotherapyareusually assessed by measures of physiologic function, such as assessed by cardio-respiratory monitoring. However, how one uses such information is ofen unclear and rarely supported by prospective clinical trials. In reality, the bedside clinician is forced to rely primarily on physiologic principles in determining the best treatments and response to therapy. However, the physiologic foundation present in practicing physicians is uneven and occasionally supported more by habit or prior training than science. A series of short papers published in Intensive Care Medicine since 2002 under the heading Physiologic Notes attempts to capture the essence of the physiologic perspectives that underpin both our understanding of disease and response to therapy. Tis present volume combines the complete list of these Physiologic Notes up until July 2006 with the ass o cia t ed r e vie w a r tic les o v er t h e s a m e in t er val t ha t a ls o addr ess e d t hes e cen tral issues.

Applied Physiology in Intensive Care Medicine 1: Physiological Notes - Technical Notes - Seminal Studies in Intensive Care

by Michael R. Pinsky Laurent Brochard Göran Hedenstierna Massimo Antonelli

The two previous editions of Applied Physiology in Intensive Care Medicine proved extremely successful, and the book has now been revised and split into two volumes to enhance ease of use. This first volume comprises three elements -- "physiological notes," “technical notes,” and seminal studies. The physiological notes concisely and clearly capture the essence of the physiological perspectives underpinning our understanding of disease and response to therapy. The technical notes then succinctly explain some of the basics of “how to” in this technology-centered field of critical care medicine. Finally, a number of seminal studies are provided on diverse topics in intensive care. Applied Physiology in Intensive Care, written by some of the most renowned experts in the field, is an up-to-date compendium of practical bedside knowledge that will serve the clinician as an invaluable reference source on key issues regularly confronted in everyday practice.

Applied Physiology in Intensive Care Medicine 2: Physiological Reviews and Editorials

by Michael R. Pinsky Laurent Brochard Jordi Mancebo Massimo Antonelli

The two previous editions of Applied Physiology in Intensive Care Medicine proved extremely successful, and the book has now been revised and split into two volumes to enhance ease of use. In this second volume some of the most renowned experts in the field offer detailed reviews on measurement techniques and physiological processes of crucial importance in intensive care medicine. Throughout, a key aim is to help overcome the fundamental unevenness in clinicians’ understanding of applied physiology, which can lead to suboptimal treatment decisions. Applied Physiology in Intensive Care has been written by some of the most renowned experts in the field and provides an up-to-date compendium of practical bedside knowledge essential to the effective delivery of acute care medicine. It will serve the clinician as an invaluable reference source on key issues regularly confronted in everyday practice.

Applied Physiology in Respiratory Mechanics (Topics in Anaesthesia and Critical Care)

by J. Milic-Emili

The close correlations between anatomo-functional data and clinical aspects are substantiated by the study and interpretation of the data of respiratory mechan­ ics. This field has developed to such an extent that, today, it is hard to single out one researcher who is an expert of the whole sector, whereas super experts can be found among scholars who, thanks to their studies and continuous comparisons, have contributed to the widening of knowledge and the development of that part of research which correlates some basic disciplines with clinical medicine. This notion is of paramount importance. Indeed, it has to be regarded as a starting point requiring a more precise definition. The analysis of data concern­ ing ventilation parameters is based on the use of mathematical models that are necessary to simplify the complexity of the various clinical situations. For a cor­ rect application and interpretation of data, the most recent technological acquisi­ tions in terms of ventilatory support require to be used as a function of simple mathematical models for the study, control and evolution of the lung diseases that concern the ICU. Thus, the need has arisen to compare the experience acquired in the field of applied physiology and in the clinical sector.

Applied Population Health: Delivering Value-Based Care with Actionable Registries (HIMSS Book Series)

by Barbara Berkovich, PhD, MA Amy Sitapati, MD

Electronic Health Record (EHR) systems today provide increasing levels of clinical decision support and are the fulcrum for change for value-based healthcare delivery. Billions of dollars of government and insurer payments are dependent on evidence-based workflow design and quality report. In this context, quality measurement is no longer a retrospective exercise, but an essential prospective process embedded in clinical operations. Population health tools in the EHR enhance the efficiency and effectiveness of interventions thus improving the quality of care at lower cost. Population health methods are effective in ensuring that the right patient receives the right care at the right time. This book provides a clear framework for design, implementation, and monitoring of innovative population health tools to accelerate measurable improvements in care delivery. Key benefits for readers include conceptual framework, team approach, and technical insights that result in improved patient care, improved performance on quality measures and increased revenue from quality performance incentives and risk-based contracts. This is also a practice guide to the healthcare professionals many roles who are eager to build or improve population health programs with the goal of delivering high quality value-based care.

Applied Population Health: Delivering Value-Based Care with Actionable Registries (HIMSS Book Series)

by Barbara Berkovich, PhD, MA Amy Sitapati, MD

Electronic Health Record (EHR) systems today provide increasing levels of clinical decision support and are the fulcrum for change for value-based healthcare delivery. Billions of dollars of government and insurer payments are dependent on evidence-based workflow design and quality report. In this context, quality measurement is no longer a retrospective exercise, but an essential prospective process embedded in clinical operations. Population health tools in the EHR enhance the efficiency and effectiveness of interventions thus improving the quality of care at lower cost. Population health methods are effective in ensuring that the right patient receives the right care at the right time. This book provides a clear framework for design, implementation, and monitoring of innovative population health tools to accelerate measurable improvements in care delivery. Key benefits for readers include conceptual framework, team approach, and technical insights that result in improved patient care, improved performance on quality measures and increased revenue from quality performance incentives and risk-based contracts. This is also a practice guide to the healthcare professionals many roles who are eager to build or improve population health programs with the goal of delivering high quality value-based care.

Applied Population Health Approaches for Asian American Communities (Public Health/Vulnerable Populations)

by Simona C. Kwon Nadia S. Islam Stella S. Yi Chau Trinh-Shevrin

An insightful text exploring health disparities in Asian American populations In the newly revised Second Edition of Applied Population Health Approaches for Asian American Communities, a team of distinguished public health experts delivers a groundbreaking resource providing an in-depth examination of the soical, political, economic, and cultural forces shaping Asian American health today. Integrating up-to-date applied public health research for assessing health interventions and programs relevant to Asian American communities and other groups that have been historically marginalized, this book highlights the different frameworks, research designs, and other methodological considerations for reaching Asian American and other ethnic communities. In the latest edition of the book, readers will find contextual explorations of the Asian American population in the United States, as well as discussions of the measurement of health and risk across the lifespan in Asian American groups. It also includes: New and updated case studies showcasing the application of different frameworks and research designs Methodological considerations for reaching Asian American and other vulnerable and underserved communities Examples of successful implementations of community engagement and community-based participatory research. A valuable resource for all levels of health professionals, practitioners, and community advocates, Applied Population Health Approaches for Asian American Communities remains the leading reference for anyone conducting or studying health disparities in Asian American communities or other groups that have been marginalized.

Applied Population Health Approaches for Asian American Communities (Public Health/Vulnerable Populations)

by Simona C. Kwon Chau Trinh-Shevrin Nadia S. Islam Stella S. Yi

An insightful text exploring health disparities in Asian American populations In the newly revised Second Edition of Applied Population Health Approaches for Asian American Communities, a team of distinguished public health experts delivers a groundbreaking resource providing an in-depth examination of the soical, political, economic, and cultural forces shaping Asian American health today. Integrating up-to-date applied public health research for assessing health interventions and programs relevant to Asian American communities and other groups that have been historically marginalized, this book highlights the different frameworks, research designs, and other methodological considerations for reaching Asian American and other ethnic communities. In the latest edition of the book, readers will find contextual explorations of the Asian American population in the United States, as well as discussions of the measurement of health and risk across the lifespan in Asian American groups. It also includes: New and updated case studies showcasing the application of different frameworks and research designs Methodological considerations for reaching Asian American and other vulnerable and underserved communities Examples of successful implementations of community engagement and community-based participatory research. A valuable resource for all levels of health professionals, practitioners, and community advocates, Applied Population Health Approaches for Asian American Communities remains the leading reference for anyone conducting or studying health disparities in Asian American communities or other groups that have been marginalized.

Applied Predictive Modeling

by Max Kuhn Kjell Johnson

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package.This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

Applied Psychology Readings: Selected Papers from the Singapore Conference on Applied Psychology 2023 (Springer Proceedings in Behavioral & Health Sciences)

by Brian Moore Lee-Ming Tan Elizabeth Murray Matthew Winslade

This book is a compilation of the best papers presented at the 2023 edition of the Singapore Conference of Applied Psychology (SCAP), led by East Asia Research in Singapore in collaboration with the Singapore University of Technology and Design and Charles Sturt University in Australia. Chapters include research conducted by experts in the field of applied psychology from the Asia-Pacific region, and cover areas such as the latest innovations, trends, concerns, practical challenges encountered and the solutions adopted in the field of applied psychology such as community and environmental psychology, psychotherapy and counseling, health, child and school psychology, and gender studies. The volume will be of interest to educators, psychology researchers and practicing counselors.

Applied Research for Better Practice (Practical Social Work Series)

by Audrey Mullender Pauline Hardiker Jane Littlewood Angela Everitt

Addressing the alienation of practitioners from positivist and quantitative research, this book shows how research can be compatible with how practitioners collect and understand data. Drawing on research approaches that take account of subjectivity and employ participative methods, the authors develop an approach to practice for the research- minded practitioner. Whilst useful for practitioners wanting to do research, the primary intention of this book is to explore ways in which practitioners may be research-minded in their work.

Applied Respiratory Pathophysiology

by Louis-Philippe Boulet

This easy yet comprehensive reference guide covers the mechanisms of respiratory diseases, explaining the main respiratory conditions for clinicians and postgraduate trainees. It discusses their aetiology as well as the basic concepts required to effectively evaluate and treat them. Applied Respiratory Pathophysiology is the first book to bring together detailed, clinically-relevant explanation of respiratory physiological processes and pathophysiological processes in one text. It is essential reading for anyone diagnosing and treating specific clinical conditions of the lungs.

Applied Respiratory Pathophysiology

by Louis-Philippe Boulet

This easy yet comprehensive reference guide covers the mechanisms of respiratory diseases, explaining the main respiratory conditions for clinicians and postgraduate trainees. It discusses their aetiology as well as the basic concepts required to effectively evaluate and treat them. Applied Respiratory Pathophysiology is the first book to bring together detailed, clinically-relevant explanation of respiratory physiological processes and pathophysiological processes in one text. It is essential reading for anyone diagnosing and treating specific clinical conditions of the lungs.

Applied RNA Bioscience

by Seiji Masuda Shingo Izawa

The focus of this book is to introduce up-to-date information on applications and practical use of RNA for agriculture, biotechnology and medicine. It provides unique ideas, tools, and methods in detail from a variety of scientific and technical disciplines. RNA science has progressed enormously in recent decades, and vast amounts of information on RNA functions and their regulatory mechanisms are becoming available. Such a progress opened the door to an age of practical application of RNA in many fields including agriculture, plant science, medical science, brewing and fermentation technology, and material production. This book inspires its readership and contributes to not only expansion in application of RNA but also to basic research.

Applied Social Science for Nursing Students (Transforming Nursing Practice Series)

by Mark Molesworth Iain Atherton

What are the social sciences and how are they relevant to nursing? How can I apply them to my practice? This book introduces the essential social science that you need in order to register and practice effectively as a nurse. Contributions from the social sciences enable you to better understand the world view of your patients and service users, as well as the wider social, cultural and political landscape in which they live and you provide care. This book will help you apply this knowledge to your everyday practice. Be it providing holistic person-centred care, advocating for your patients and their communities, or contributing to service improvement, understanding the social sciences is key to a nursing career that truly makes a difference. Key features: - Fully mapped to the NMC standards of proficiency for registered nurses (2018) - Explores social science’s contribution to key aspects of your study including sociology, psychology, research, and health promotion - Case studies, activities and student insights illustrate theory and concepts in real life nursing practice

Applied Social Science for Nursing Students (Transforming Nursing Practice Series)

by Mark Molesworth Iain Atherton

What are the social sciences and how are they relevant to nursing? How can I apply them to my practice? This book introduces the essential social science that you need in order to register and practice effectively as a nurse. Contributions from the social sciences enable you to better understand the world view of your patients and service users, as well as the wider social, cultural and political landscape in which they live and you provide care. This book will help you apply this knowledge to your everyday practice. Be it providing holistic person-centred care, advocating for your patients and their communities, or contributing to service improvement, understanding the social sciences is key to a nursing career that truly makes a difference. Key features: - Fully mapped to the NMC standards of proficiency for registered nurses (2018) - Explores social science’s contribution to key aspects of your study including sociology, psychology, research, and health promotion - Case studies, activities and student insights illustrate theory and concepts in real life nursing practice

Applied Social Science for Nursing Students (Transforming Nursing Practice Series)

by Mark Molesworth Iain Atherton

What are the social sciences and how are they relevant to nursing? How can I apply them to my practice? This book introduces the essential social science that you need in order to register and practice effectively as a nurse. Contributions from the social sciences enable you to better understand the world view of your patients and service users, as well as the wider social, cultural and political landscape in which they live and you provide care. This book will help you apply this knowledge to your everyday practice. Be it providing holistic person-centred care, advocating for your patients and their communities, or contributing to service improvement, understanding the social sciences is key to a nursing career that truly makes a difference. Key features: - Fully mapped to the NMC standards of proficiency for registered nurses (2018) - Explores social science’s contribution to key aspects of your study including sociology, psychology, research, and health promotion - Case studies, activities and student insights illustrate theory and concepts in real life nursing practice

Applied Sociology of Health and Illness: A Problem Based Learning Approach

by Costas S. Constantinou

This inspirational new text covers the basic principles of the sociology of health and illness in an eminently readable way. By creatively employing the fictitious character of Frank Bennet, a new medical student, who cannot understand why he has to attend so many sessions in sociology in order to become a doctor, the book examines the most commonl

Applied Sociology of Health and Illness: A Problem-Based Learning Approach

by Costas S. Constantinou

Praise for the First Edition: "A real, combined approach of behavioural, social, biomedical, and clinical sciences is paramount. [This book] is one pioneering example of such integration, bridging core sociology with medical education." – Dikomitis L, Wenning B, Ghobrial A, and Adams K.M. (2022). Embedding behavioural and social sciences across the medical 2 curriculum: (Auto) ethnographic insights from medical schools in the United Kingdom. Societies, 12, 101. "Constantinou’s book not only contributes to bridging the gap between theoretical sociology and medical education, it also contributes to the way we teach a new generation of students – how to understand patients in context, how to treat them with respect and, ultimately, how to be a better medical doctor." – Andrea Stockl from her Foreword to the First Edition Comments from Medical Students: "‘Ignorance is not just lack of knowledge but lack of implementing knowledge gained’. I encourage everybody going into a clinical and general work setting to read this book and implement." "I believe this book is the key to unlocking the minds of medical students in viewing illness as not only physical and emotional also as social experience." "I believe everyone should read this book, especially medical students and practitioners who wish to become all-round competent and understanding doctors." "The better you understand your patient’s illness and his/her suffering, the healthier you can make him/her – this book teaches this important skill." This popular and accessible text continues to cover the basic principles of the sociology of health and illness in an eminently readable way. This fully revised second edition has been inspired, informed, and reviewed by medical students. By creatively employing a problem-based learning approach, the book examines commonly covered topics integrating underlying principles and research findings through real-life stories. The book investigates the relevance of sociology and considers a new direction – one that places sociology in the context of healthcare settings, making the topic more realistic, useful, and memorable. The book will be an invaluable companion for medical students throughout undergraduate studies and is also a useful reference for students in nursing, social work, psychology, and sociology, as well as qualified doctors and healthcare practitioners.

Applied Sociology of Health and Illness: A Problem-Based Learning Approach

by Costas S. Constantinou

Praise for the First Edition: "A real, combined approach of behavioural, social, biomedical, and clinical sciences is paramount. [This book] is one pioneering example of such integration, bridging core sociology with medical education." – Dikomitis L, Wenning B, Ghobrial A, and Adams K.M. (2022). Embedding behavioural and social sciences across the medical 2 curriculum: (Auto) ethnographic insights from medical schools in the United Kingdom. Societies, 12, 101. "Constantinou’s book not only contributes to bridging the gap between theoretical sociology and medical education, it also contributes to the way we teach a new generation of students – how to understand patients in context, how to treat them with respect and, ultimately, how to be a better medical doctor." – Andrea Stockl from her Foreword to the First Edition Comments from Medical Students: "‘Ignorance is not just lack of knowledge but lack of implementing knowledge gained’. I encourage everybody going into a clinical and general work setting to read this book and implement." "I believe this book is the key to unlocking the minds of medical students in viewing illness as not only physical and emotional also as social experience." "I believe everyone should read this book, especially medical students and practitioners who wish to become all-round competent and understanding doctors." "The better you understand your patient’s illness and his/her suffering, the healthier you can make him/her – this book teaches this important skill." This popular and accessible text continues to cover the basic principles of the sociology of health and illness in an eminently readable way. This fully revised second edition has been inspired, informed, and reviewed by medical students. By creatively employing a problem-based learning approach, the book examines commonly covered topics integrating underlying principles and research findings through real-life stories. The book investigates the relevance of sociology and considers a new direction – one that places sociology in the context of healthcare settings, making the topic more realistic, useful, and memorable. The book will be an invaluable companion for medical students throughout undergraduate studies and is also a useful reference for students in nursing, social work, psychology, and sociology, as well as qualified doctors and healthcare practitioners.

Applied Soft Computing and Embedded System Applications in Solar Energy (Mathematical Engineering, Manufacturing, and Management Sciences)

by Rupendra Kumar Pachauri Jitendra Kumar Pandey Abhishek Sharma Om Prakash Nautiyal Mangey Ram

Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects. Examines the integration of hardware with stand-alone PV panels and real-time monitoring of factors affecting the efficiency of the PV panels Offers real-time implementation of soft computing and embedded system in the area of solar energy Discusses how soft computing plays a huge role in the prediction of efficiency of stand-alone and grid-connected solar PV systems Discusses how embedded system applications with smart monitoring can control and enhance the efficiency of stand-alone and grid-connected solar PV systems Explores swarm intelligence techniques for solar PV parameter estimation Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India. Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India. Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India). Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India. Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Applied Soft Computing and Embedded System Applications in Solar Energy (Mathematical Engineering, Manufacturing, and Management Sciences)

by Mangey Ram Rupendra Kumar Pachauri Jitendra Kumar Pandey Abhishek Sharmu Om Prakash Nautiyal

Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects. Examines the integration of hardware with stand-alone PV panels and real-time monitoring of factors affecting the efficiency of the PV panels Offers real-time implementation of soft computing and embedded system in the area of solar energy Discusses how soft computing plays a huge role in the prediction of efficiency of stand-alone and grid-connected solar PV systems Discusses how embedded system applications with smart monitoring can control and enhance the efficiency of stand-alone and grid-connected solar PV systems Explores swarm intelligence techniques for solar PV parameter estimation Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India. Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India. Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India). Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India. Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Applied Spatial Data Analysis with R (Use R! #10)

by Roger S. Bivand Edzer Pebesma Virgilio Gómez-Rubio

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.

Applied Spatial Data Analysis with R (Use R!)

by Roger S. Bivand Edzer J. Pebesma Virgilio Gómez-Rubio

We began writing this book in parallel with developing software for handling and analysing spatial data withR (R Development Core Team, 2008). - though the book is now complete, software development will continue, in the R community fashion, of rich and satisfying interaction with users around the world, of rapid releases to resolve problems, and of the usual joys and frust- tions of getting things done. There is little doubt that without pressure from users, the development ofR would not have reached its present scale, and the same applies to analysing spatial data analysis withR. It would, however, not be su?cient to describe the development of the R project mainly in terms of narrowly de?ned utility. In addition to being a communityprojectconcernedwiththedevelopmentofworld-classdataana- sis software implementations, it promotes speci?c choices with regard to how data analysis is carried out.R is open source not only because open source software development, including the dynamics of broad and inclusive user and developer communities, is arguably an attractive and successful development model.

Refine Search

Showing 5,876 through 5,900 of 100,000 results