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Spatial Epidemiological Approaches in Disease Mapping and Analysis de Poh-Chin Lai

Spatial Epidemiological Approaches in Disease Mapping and Analysis

Autor Poh-Chin Lai, Fun-Mun So, Ka-Wing Chan
en Limba Engleză Hardback – 18 aug 2008
Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries. Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data. Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.
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Specificații

ISBN-13: 9781420045468
ISBN-10: 1420045466
Pagini: 194
Ilustrații: 83 b/w images, 14 color images, 19 tables and 14 halftones
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.48 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Professional

Cuprins

Basic GIS Concepts and Operations. Working with Geographic Data. Introducing Key Procedures in GIS for Health-Related Analyses. Point Pattern Analysis. Disease Analysis on Areal Pattern. Spatio-temporal and Associative Analyses. Current GIS Research in Health Care and Disease Analyses. Initiating a GIS Research in Spatial Epidemiology.

Descriere

Compiled with method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries. Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data. Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.