| Description |
1 online resource (ix, 217 pages : illustrations (black and white, and colour)) |
| Series |
Atmosphere, earth, ocean & space |
|
Atmosphere, earth, ocean & space
|
| Contents |
Topic 1. Environmental Quality Monitoring -- Chap1: Applications of Remote Sensing for Air Pollution Monitoring in Thailand: An Early Warning for Public Health -- Chap2: A novel evaluation of air pollution impact from stationary emission sources to ambient air quality via time-series Granger causality -- Chap3: Groundwater Recharge, Monitoring and Finding Suitable Areas for Groundwater Recharge in Northeast Thailand -- Topic 2. Environmental Changes and Health -- Chap4: Health benefits of air pollution reduction during the COVID-19 lockdown period in Thailand using a machine learning algorithm -- Chap5: Satellite-Derived Vegetation Indices as A Criterion for Assessing Green Exposure that is Related to Human Health Burdens -- Chap6: Five common myths about land use change and infectious disease -- Topic 3. Data and Methodological Issues for Health Studies -- Chap7: Geospatial Environmental Data for Planetary Health Applications -- Chap8: Delineating zones of disease diffusion from the amenity-sharing network in Peninsular Malaysia -- Chap9: Approaches for spatial and temporal-spatial clustering analysis in avian influenza outbreaks -- Chap10: Detecting urban form using remote sensing: spatiotemporal research gaps for sustainable environment and human health |
| Summary |
Planetary health involves complex spatialtemporal interactions among agents, hosts, and earth environment. Due to rapid technical development of geomatics, including geographic information systems (GIS) and remote sensing (RS) in the era of big data analytics, therefore, earth data analytics has become one of the important approaches for monitoring earth surface process and measuring of the effects of environment changes on all humans and other living organisms on earth. Various methods in earth data analytics, including spatialtemporal statistics, spatial evolutionary algorithms, remote sensing image analysis, wireless geo-sensors, and location-based analytics, are an emerging discipline in understanding complex interactions in planetary health. This edited book provides a broad focus on methodological theories of earth data analytics and their applications to measuring the process of planetary health, with the goal to build scientific understanding on how geospatial analytics can provide valuable insights in measuring environmental risks in Southeast Asian regions. It is collection of selected papers covering both theoretical and empirical studies focusing on topics relevant to spatial perspectives on planetary health and environmental exposure studies. The book is written for senior undergraduates, graduate students, lecturers, and researchers in applications of geospatial technologies for public health and environmental studies |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCOhost platform, viewed May 1, 2023) |
| Subject |
Global environmental change -- Geographic information systems
|
|
Global environmental change -- Remote sensing
|
|
Environmental health -- Geographic information systems
|
|
Environmental health -- Remote sensing
|
|
Human ecology -- Data processing
|
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Nature -- Effect of human beings on -- Data processing
|
|
Environmental health
|
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Environmental health -- Remote sensing
|
|
Global environmental change
|
|
Human ecology -- Data processing
|
| Genre/Form |
Geographic information systems
|
| Form |
Electronic book
|
| Author |
Wen, Tzai-Hung, editor
|
|
Chuang, Ting-Wu, editor
|
|
Tipayamongkholgul, Mathuros, editor
|
| ISBN |
9789811987656 |
|
9811987653 |
|
