Knowing how technology can improve health research and health-care management applications has never been more important. Geographic information systems (GIS) can provide health and human services professionals with the analysis and insights to make impactful, informed decisions about health care, health policy, and public health. Doing so starts with learning ArcGIS, the popular professional GIS application from Esri, using GIS Tutorial for Health for ArcGIS Desktop 10.8. A workbook for learning the basics of ArcGIS within a health context, GIS Tutorial for Health for ArcGIS Desktop…mehr
Knowing how technology can improve health research and health-care management applications has never been more important. Geographic information systems (GIS) can provide health and human services professionals with the analysis and insights to make impactful, informed decisions about health care, health policy, and public health. Doing so starts with learning ArcGIS, the popular professional GIS application from Esri, using GIS Tutorial for Health for ArcGIS Desktop 10.8. A workbook for learning the basics of ArcGIS within a health context, GIS Tutorial for Health for ArcGIS Desktop 10.8 introduces you to preparing, visualizing, and analyzing health data. Using a hands-on approach with real-world health-care scenarios that simulate how to develop and manage a GIS health project, the included exercises guide you to solve health problems using ArcGIS Desktop, specifically ArcMap. You will learn: * the basics of mapmaking and how to use spatial and tabular data * how to design maps for a health study * how to apply spatial analysis tools for health studies * and more. This sixth edition of GIS Tutorial for Health also includes updates for use with ArcGIS Desktop 10.8, an introduction to ArcGIS Online, and an international context using international health data. Written by the authors of the popular GIS Tutorial series, GIS Tutorial for Health for ArcGIS Desktop 10.8 incorporates proven teaching methods in detailed exercises, "Your Turn" sections, and homework assignments. Suitable as both a computer lab textbook and for self-study, this book will give health management students and practitioners, health-care managers, IT specialists, and researchers the understanding and skill set to apply GIS to work in the health field.
Kristen S. Kurland is a Teaching Professor of Architecture, Information Systems, and Public Policy at the H. John Heinz III College and School of Architecture, Carnegie Mellon University, where she teaches GIS, building information modeling, computer-aided design, 3D visualization, infrastructure management, and enterprise data analytics.
Inhaltsangabe
Preface Introduction Part 1 GIS benefits and map basics Chapter 1: Introducing GIS and health applications Chapter 2: Visualizing health data Part 2 Preparation of map data Chapter 3: Designing maps for a health study Chapter 4: Projecting, downloading, and using spatial data Chapter 5: Downloading and preparing spatial and tabular data Chapter 6: Geocoding tabular data Part 3 Spatial analysis Chapter 7: Processing and analyzing spatial data Chapter 8: Transforming data using approximate methods Chapter 9: Using ArcGIS Spatial Analyst for demand estimation Part 4 GIS case studies Chapter 10: Studying food-borne-disease outbreaks Chapter 11: Forming local chapters of ACHE Appendix A Image and data source credits
Preface Introduction Part 1 GIS benefits and map basics Chapter 1: Introducing GIS and health applications Chapter 2: Visualizing health data Part 2 Preparation of map data Chapter 3: Designing maps for a health study Chapter 4: Projecting, downloading, and using spatial data Chapter 5: Downloading and preparing spatial and tabular data Chapter 6: Geocoding tabular data Part 3 Spatial analysis Chapter 7: Processing and analyzing spatial data Chapter 8: Transforming data using approximate methods Chapter 9: Using ArcGIS Spatial Analyst for demand estimation Part 4 GIS case studies Chapter 10: Studying food-borne-disease outbreaks Chapter 11: Forming local chapters of ACHE Appendix A Image and data source credits
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