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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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SUMMARY:Geostatistics – II
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we are covering the basics of Geostatistics. In this second workshop\, we will focus on covariance and variogram\, and their estimation in the context of geostatistical modeling. This is mainly a lecture style workshop\, but we will also execute some examples in R. The material will also help you understand the basics of Gaussian Process Regression\, a commonly used modeling technique in Machine Learning.
URL:https://micde.umich.edu/event/geostatistics-ii-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20210727T150000
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CREATED:20210713T154234Z
LAST-MODIFIED:20230217T195718Z
UID:10000498-1627398000-1627401600@micde.umich.edu
SUMMARY:Geostatistics – III
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we will cover the basics of Geostatistics. In this third workshop\, we will combine the material we covered in the first two workshops and develop the geostatistical modeling approach. This is mainly a lecture style workshop\, but will include an example in R. The material will also help you understand the basics of Gaussian Process Regression\, a commonly used modeling technique in Machine Learning.
URL:https://micde.umich.edu/event/geostatistics-iii/
LOCATION:Your Desktop
CATEGORIES:Workshops
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