Geographic Health Data
Fundamental Techniques for Analysis
Published on 23. September 2013
978-1-78924-404-5 (ISBN)
Description
Focussing on proven techniques for most real-world data sets, this book presents an overview of the analysis of health data involving a geographic component, in a way that is accessible to any health scientist or student comfortable with large data sets and basic statistics, but not necessarily with any specialized training in geographic information systems (GIS). Providing clear, straightforward explanations with worldwide examples and solutions, the book describes applications of GIS in disaster response.
More details
Language
English
Place of publication
Wallingford
United Kingdom
Target group
Professional and scholarly
File size
6,46 MB
ISBN-13
978-1-78924-404-5 (9781789244045)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
09/2013
CABI Publishing
€200.50
Shipment within 3-4 weeks
Persons
Editor
New York State Cancer Registry, USA
Contributions
Spatial Sciences Institute, USA
Department of Geography, RM 270 , 260 S Central Drive , University of Utah, Salt Lake City, Utah, 84112-9155, UNITED STATES
Department of Geography, University of North Texas, 1155 Union Circle #305279, 1704 W Mulberry, ENV 210, Denton, Texas, 76203, UNITED STATES
University of British Columbia, Department of Surgery, Room 3100, 910 West 10th Avenue, Vancouver, BC, V5Z 4E3, CANADA
Office: KAP 448B, University of Southern California, , , , , UNITED STATES
Pennsylvania State University, USA
Geospatial Applied Research Experts House (GSAREH LLC), USA
University of Copenhagen, Denmark
Harvard School of Public Health, USA
Content
a: Introduction 1: Points, Lines and Polygons 2: Geographic Data Acquisition 3: Virtual Globes and Geospatial Health 4: Geocoding and Health 5: Visualization and Cartography 6: Spatial Overlays 7: Spatial Cluster Analysis 8: Methods for Creating Smoothed Maps of Disease Burdens 9: Geographic Access to Health Services 10: Location-allocation Modelling for Health Services Research in Low Resource Settings 11: Multilevel and Hierarchical Models for Disease Mapping
