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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heories, uses and limitations of geospatial technologies in .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 differe

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https://doi.org/10.1007/978-3-642-14019-8ssociations with the local health status. In addition, this research discusses the techniques used in the study and the selection of additional socioeconomic and environmental variables for building the model.

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Using the NASA Giovanni System to Assess and Evaluate Remotely-Sensed and Model Data Variables Relealso present a discussion in which public health application fields will be matched with data variables and analysis options suitable for research in each field. A case history example will demonstrate how Giovanni allows rapid and skillful assessment and evaluation of connections between Earth observation data and the public health realm.

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Advancement in Airborne Particulate Estimation Using Machine Learning, calibrate lower-cost optical particle counters. For this calibration, it is critical that measurements of atmospheric pressure, humidity, and temperature are also made. We show that machine learning can be used to estimate the spatial distribution of airborne particulates from weather radar data.

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https://doi.org/10.1007/978-1-4020-5483-9isease clusters or spreads are just a few of the types of analyses conducted to help guide policy-makers, health experts, and public officials in improving health outcomes, reducing inequity, and mitigating vulnerability. These techniques and methods will be reviewed in this chapter.

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