Daniel B. Carr – författare

Part of the "What Do I Do Now: Palliative Care" series, Clinical and Ethical Dilemmas in Palliative and End-of-Life Care bridges the gap between the clear, logical, and harmonious clinical world of textbooks and the chaotic, turbulent, resource-constrained, and often unpredictable world of everyday practice. Each chapter begins with a case and is followed by a diagnosis, explanation of next steps, and rationale for decision-making by experts in the field, mimicking the kind of "curbside consult" that occurs between an experienced clinician and someone new to the field. Tackling dilemmas related to patients, families, healthcare professionals, and the healthcare system, this book comprehensively helps readers learn to apply practical knowledge in challenging circumstances-and often with incomplete information-to achieve clinical competency. The volume is also a self-assessment tool that tests the reader's ability to answer the question, "What do I do now?"

Part of the "e;What Do I Do Now: Palliative Care"e; series, Clinical and Ethical Dilemmas in Palliative and End-of-Life Care bridges the gap between the clear, logical, and harmonious clinical world of textbooks and the chaotic, turbulent, resource-constrained, and often unpredictable world of everyday practice. Each chapter begins with a case and is followed by a diagnosis, explanation of next steps, and rationale for decision-making by experts in the field, mimicking the kind of "e;curbside consult"e; that occurs between an experienced clinician and someone new to the field. Tackling dilemmas related to patients, families, healthcare professionals, and the healthcare system, this book comprehensively helps readers learn to apply practical knowledge in challenging circumstances-and often with incomplete information-to achieve clinical competency. The volume is also a self-assessment tool that tests the reader's ability to answer the question, "e;What do I do now?"e;

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and applications of micromaps, which link statistical information to an organized set of small maps. This full-color book helps readers simultaneously explore the statistical and geographic patterns in their data. After illustrating the three main types of micromaps, the authors summarize the research behind the design of visualization tools that support exploration and communication of spatial data patterns. They then explain how these research findings can be applied to micromap designs in general and detail the specifics involved with linked, conditioned, and comparative micromap designs. To compare and contrast their purposes, limitations, and strengths, the final chapter applies all three of these techniques to the same demographic data for Louisiana before and after Hurricanes Katrina and Rita.Supplementary websiteOffering numerous ancillary features, the book’s website at http://mason.gmu.edu/~dcarr/Micromaps/ provides many boundary files and real data sets that address topics, such species biodiversity and alcoholism. One complete folder of data examples presents cancer statistics, risk factors, and demographic data. The site includes CCmaps, the dynamic implementation of conditioned micromaps written in Java, as well as a link to a generalized micromaps program. It also contains R functions and scripts for linked and comparative micromaps, enabling re-creation of all the corresponding examples in the book.

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and applications of micromaps, which link statistical information to an organized set of small maps. This full-color book helps readers simultaneously explore the statistical and geographic patterns in their data. After illustrating the three main types of micromaps, the authors summarize the research behind the design of visualization tools that support exploration and communication of spatial data patterns. They then explain how these research findings can be applied to micromap designs in general and detail the specifics involved with linked, conditioned, and comparative micromap designs. To compare and contrast their purposes, limitations, and strengths, the final chapter applies all three of these techniques to the same demographic data for Louisiana before and after Hurricanes Katrina and Rita.Supplementary websiteOffering numerous ancillary features, the books website at http://mason.gmu.edu/~dcarr/Micromaps/provides many boundary files and real data sets that address topics, such species biodiversity and alcoholism. One complete folder of data examples presents cancer statistics, risk factors, and demographic data. The site includes CCmaps, the dynamic implementation of conditioned micromaps written in Java, as well as a link to a generalized micromaps program. It also contains R functions and scripts for linked and comparative micromaps, enabling re-creation of all the corresponding examples in the book.

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and applications of micromaps, which link statistical information to an organized set of small maps. This full-color book helps readers simultaneously explore the statistical and geographic patterns in their data. After illustrating the three main types of micromaps, the authors summarize the research behind the design of visualization tools that support exploration and communication of spatial data patterns. They then explain how these research findings can be applied to micromap designs in general and detail the specifics involved with linked, conditioned, and comparative micromap designs. To compare and contrast their purposes, limitations, and strengths, the final chapter applies all three of these techniques to the same demographic data for Louisiana before and after Hurricanes Katrina and Rita.Supplementary websiteOffering numerous ancillary features, the book’s website at http://mason.gmu.edu/~dcarr/Micromaps/ provides many boundary files and real data sets that address topics, such species biodiversity and alcoholism. One complete folder of data examples presents cancer statistics, risk factors, and demographic data. The site includes CCmaps, the dynamic implementation of conditioned micromaps written in Java, as well as a link to a generalized micromaps program. It also contains R functions and scripts for linked and comparative micromaps, enabling re-creation of all the corresponding examples in the book.