001454368 000__ 04976cam\a2200589\i\4500
001454368 001__ 1454368
001454368 003__ OCoLC
001454368 005__ 20230314003515.0
001454368 006__ m\\\\\o\\d\\\\\\\\
001454368 007__ cr\cn\nnnunnun
001454368 008__ 230202s2023\\\\si\a\\\\o\\\\\000\0\eng\d
001454368 019__ $$a1367232527
001454368 020__ $$a9789811987656$$q(electronic bk.)
001454368 020__ $$a9811987653$$q(electronic bk.)
001454368 020__ $$z9811987645
001454368 020__ $$z9789811987649
001454368 0247_ $$a10.1007/978-981-19-8765-6$$2doi
001454368 035__ $$aSP(OCoLC)1368026892
001454368 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dN$T
001454368 049__ $$aISEA
001454368 050_4 $$aGE149
001454368 08204 $$a363.7$$223
001454368 08204 $$a910.285$$223
001454368 24500 $$aEarth data analytics for planetary health /$$cTzai-Hung Wen, Ting-Wu Chuang, Mathuros Tipayamongkholgul, editors.
001454368 264_1 $$aSingapore :$$bSpringer,$$c2023.
001454368 300__ $$a1 online resource (72 pages) :$$billustrations (black and white, and colour).
001454368 336__ $$atext$$btxt$$2rdacontent
001454368 337__ $$acomputer$$bc$$2rdamedia
001454368 338__ $$aonline resource$$bcr$$2rdacarrier
001454368 4901_ $$aAtmosphere, earth, ocean & space
001454368 5050_ $$aTopic 1. Environmental Quality Monitoring -- Chap1: Applications of Remote Sensing for Air Pollution Monitoring in Thailand: An Early Warning for Public Health -- Chap2: A novel evaluation of air pollution impact from stationary emission sources to ambient air quality via time-series Granger causality -- Chap3: Groundwater Recharge, Monitoring and Finding Suitable Areas for Groundwater Recharge in Northeast Thailand -- Topic 2. Environmental Changes and Health -- Chap4: Health benefits of air pollution reduction during the COVID-19 lockdown period in Thailand using a machine learning algorithm -- Chap5: Satellite-Derived Vegetation Indices as A Criterion for Assessing Green Exposure that is Related to Human Health Burdens -- Chap6: Five common myths about land use change and infectious disease -- Topic 3. Data and Methodological Issues for Health Studies -- Chap7: Geospatial Environmental Data for Planetary Health Applications -- Chap8: Delineating zones of disease diffusion from the amenity-sharing network in Peninsular Malaysia -- Chap9: Approaches for spatial and temporal-spatial clustering analysis in avian influenza outbreaks -- Chap10: Detecting urban form using remote sensing: spatiotemporal research gaps for sustainable environment and human health.
001454368 506__ $$aAccess limited to authorized users.
001454368 520__ $$aPlanetary health involves complex spatialtemporal interactions among agents, hosts, and earth environment. Due to rapid technical development of geomatics, including geographic information systems (GIS) and remote sensing (RS) in the era of big data analytics, therefore, earth data analytics has become one of the important approaches for monitoring earth surface process and measuring of the effects of environment changes on all humans and other living organisms on earth. Various methods in earth data analytics, including spatialtemporal statistics, spatial evolutionary algorithms, remote sensing image analysis, wireless geo-sensors, and location-based analytics, are an emerging discipline in understanding complex interactions in planetary health. This edited book provides a broad focus on methodological theories of earth data analytics and their applications to measuring the process of planetary health, with the goal to build scientific understanding on how geospatial analytics can provide valuable insights in measuring environmental risks in Southeast Asian regions. It is collection of selected papers covering both theoretical and empirical studies focusing on topics relevant to spatial perspectives on planetary health and environmental exposure studies. The book is written for senior undergraduates, graduate students, lecturers, and researchers in applications of geospatial technologies for public health and environmental studies.
001454368 588__ $$aDescription based on print version record.
001454368 650_0 $$aGlobal environmental change$$xGeographic information systems.
001454368 650_0 $$aGlobal environmental change$$xRemote sensing.
001454368 650_0 $$aEnvironmental health$$xGeographic information systems.
001454368 650_0 $$aEnvironmental health$$xRemote sensing.
001454368 650_0 $$aHuman ecology$$xData processing.
001454368 650_0 $$aNature$$xEffect of human beings on$$xData processing.
001454368 655_0 $$aElectronic books.
001454368 7001_ $$aWen, Tzai-Hung,$$eeditor.
001454368 7001_ $$aChuang, Ting-Wu,$$eeditor.
001454368 7001_ $$aTipayamongkholgul, Mathuros,$$eeditor.
001454368 77608 $$iPrint version:$$tEARTH DATA ANALYTICS FOR PLANETARY HEALTH.$$d[Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2023$$z9811987645$$w(OCoLC)1350838401
001454368 830_0 $$aAtmosphere, earth, ocean & space.
001454368 852__ $$bebk
001454368 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8765-6$$zOnline Access$$91397441.1
001454368 909CO $$ooai:library.usi.edu:1454368$$pGLOBAL_SET
001454368 980__ $$aBIB
001454368 980__ $$aEBOOK
001454368 982__ $$aEbook
001454368 983__ $$aOnline
001454368 994__ $$a92$$bISE