书目名称 | Earth Data Analytics for Planetary Health | 编辑 | Tzai-Hung Wen,Ting-Wu Chuang,Mathuros Tipayamongkh | 视频video | | 概述 | Gives a practical introduction and applications of earth data analytics.Provides a broad focus on measuring the mechanisms of planetary health.Highlights the issue of environmental health in Southeast | 丛书名称 | Atmosphere, Earth, Ocean & Space | 图书封面 |  | 描述 | Planetary health involves complex spatial–temporal 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 spatial–temporal 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 | 出版日期 | Book 2023 | 关键词 | Geographic Information System (GIS); Earth Data Analytics; Remote Sensing; Spatial Analysis; Planetary H | 版次 | 1 | doi | https://doi.org/10.1007/978-981-19-8765-6 | isbn_softcover | 978-981-19-8767-0 | isbn_ebook | 978-981-19-8765-6Series ISSN 2524-440X Series E-ISSN 2524-4418 | issn_series | 2524-440X | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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