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Geospatial Technologies for Urban Health

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Cover of 'Geospatial Technologies for Urban Health'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Geospatial Approaches to Measuring Personal Heat Exposure and Related Health Effects in Urban Settings
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    Chapter 3 Geographic Variation in Cardiovascular Disease Mortality: A Study of Linking Risk Factors and Built Environment at a Local Health Unit in Canada
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    Chapter 4 Evaluating the Effect of Domain Size of the Community Multiscale Air Quality (CMAQ) Model on Regional PM 2 . 5 Simulations
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    Chapter 5 Serving a Segregated Metropolitan Area: Disparities in Spatial Access to Primary Care Physicians in Baton Rouge, Louisiana
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    Chapter 6 Considerations When Using Individual GPS Data in Food Environment Research: A Scoping Review of ‘Selective (Daily) Mobility Bias’ in GPS Exposure Studies and Its Relevance to the Retail Food Environment
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    Chapter 7 Dynamic Emergency Medical Service Dispatch: Role of Spatiotemporal Machine Learning
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    Chapter 8 Incorporating Online Survey and Social Media Data into a GIS Analysis for Measuring Walkability
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    Chapter 9 Leveraging Social Media to Track Urban Park Quality for Improved Citizen Health
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    Chapter 10 Spatiotemporal Analysis and Data Mining of the 2014–2016 Ebola Virus Disease Outbreak in West Africa
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    Chapter 11 Extending Volunteered Geographic Information (VGI) with Geospatial Software as a Service: Participatory Asset Mapping Infrastructures for Urban Health
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    Chapter 12 Improving Urban and Peri-urban Health Outcomes Through Early Detection and Aid Planning
Attention for Chapter 7: Dynamic Emergency Medical Service Dispatch: Role of Spatiotemporal Machine Learning
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Citations

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Chapter title
Dynamic Emergency Medical Service Dispatch: Role of Spatiotemporal Machine Learning
Chapter number 7
Book title
Geospatial Technologies for Urban Health
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-19573-1_7
Book ISBNs
978-3-03-019572-4, 978-3-03-019573-1
Authors

Sunghwan Cho, Dohyeong Kim, Cho, Sunghwan, Kim, Dohyeong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Researcher 1 10%
Lecturer 1 10%
Student > Master 1 10%
Unknown 2 20%
Readers by discipline Count As %
Engineering 2 20%
Computer Science 1 10%
Nursing and Health Professions 1 10%
Medicine and Dentistry 1 10%
Social Sciences 1 10%
Other 0 0%
Unknown 4 40%