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Subsections

Books

1 Automating the Analysis of Spatial Grids (Springer 2012)

The aim of (1) is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution satellite imagery or from any data is that can be placed on a spatial grid.

The book is based off a course that I taught in Spring 2011 at the University of Oklahoma to a diverse group of graduate students from Computer Science, Meteorology and Environmental Engineering. It should be suitable as a textbook for upper-level undergraduate students and graduate students.

Even though the material developed out of a graduate course, this book is targeted primarily at practitioners i.e. people who need to solve a problem and are looking for ways to address it. Hence, the book forgoes detailed descriptions of theory and mathematical development in favor of more practical issues of implementation.

A software implementation in the Java programming language is included for nearly all the techniques discussed in this book.

[read online at Springer].

Order a $25 print copy of the book. This works only if you access it from an University IP address.

[Order on Amazon]

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2 Machine Learning and Data Mining Approaches to Climate Science (Springer 2015)

 (2) is an edited volume of contributed papers that arose out of Climate Informatics 2014. I was program chair of this conference, and this was the first year that we were able to put together such a collection of papers representing the state of the science.


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Next: Book chapters Up: Research Publications Previous: Research Publications
V. Lakshmanan : valliappa.lakshmanan@noaa.gov