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Titlebook: Geospatial Technology for Human Well-Being and Health; Fazlay S. Faruque Book 2022 Springer Nature Switzerland AG 2022 Spatial analytics.G

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發(fā)表于 2025-3-21 19:38:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Geospatial Technology for Human Well-Being and Health
編輯Fazlay S. Faruque
視頻videohttp://file.papertrans.cn/385/384081/384081.mp4
概述Introduces new concepts of utilizing geospatial technologies to advance environmental health research and medicinal practice.Addresses the theories, uses and limitations of geospatial technologies in
圖書(shū)封面Titlebook: Geospatial Technology for Human Well-Being and Health; Fazlay S. Faruque Book 2022 Springer Nature Switzerland AG 2022 Spatial analytics.G
描述.Over the last thirty years or so, there have been tremendous advancements in the area of geospatial health; however, somehow, two aspects have not received as much attention as they should have received. These are a) limitations of different spatial analytical tools and b) progress in making geospatial environmental exposure data available for advanced health science research and for medical practice. This edited volume addresses those two less explored areas of geospatial health with augmented discussions on the theories, methodologies and limitations of contemporary geospatial technologies in a wide range of applications related to human well-being and health. .In 20 chapters, readers are presented with an up-to-date assessment of geospatial technologies with an emphasis on understanding general geospatial principles and methodologies that are often overlooked in the research literature. As a result, this book will be of interest to both newcomers and experts in geospatial analysis and will appeal to students and researchers engaged in studying human well-being and health.?.Chapters are presenting new concepts, new analytical methods and contemporary applications within the fram
出版日期Book 2022
關(guān)鍵詞Spatial analytics; Geospatial data; GIS; Public health; Environmental health; Machine learning; Seasonalit
版次1
doihttps://doi.org/10.1007/978-3-030-71377-5
isbn_softcover978-3-030-71379-9
isbn_ebook978-3-030-71377-5
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Building the Analytic Toolbox: From Spatial Analytics to Spatial Statistical Inference with Geospat Their intersection provides great opportunity for new insights in measuring health and well-being. Health analysts seek quantitative, decision-based outputs, but rapid advances in the volume and linkage of distributed data of multiple types have outpaced the development of detailed analytical and s
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Understanding Health Data by Mobility Analytics,ognizing various mobility patterns for analyzing massive data. Data featuring both the dimensions of space and time is called spatiotemporal data. Spatiotemporal data have been recorded in studies such as climate science, neuroscience, social sciences, mobile health, epidemiology, transportation, cr
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Geospatial Tools for Social Medicine: Understanding Rural-Urban Divide,es. The field of social medicine, in particular, seeks to understand how social, demographic, and economic conditions impact the practice of medicine and how public health policies can lead to a healthier society. Geospatial models in conjunction with geographic information systems (GIS) serve as ke
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