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Predictive Soil Mapping with R
Contributor(s): Hengl, Tomislav (Author), MacMillan, Robert a. (Author)
ISBN: 0359306357     ISBN-13: 9780359306350
Publisher: Lulu.com
OUR PRICE:   $28.63  
Product Type: Paperback
Published: December 2018
Qty:
Additional Information
BISAC Categories:
- Technology & Engineering | Engineering (general)
Physical Information: 0.77" H x 7.44" W x 9.69" (1.46 lbs) 372 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and a number of other sciences. Predictive Soil Mapping with R is about understanding the main concepts behind soil mapping, mastering R packages that can be used to produce high quality soil maps, and about optimizing all processes involved so that also the production costs can be reduced. The online version of the book is available at: https: //envirometrix.github.io/PredictiveSoilMapping/ Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC's Global Soil Information Facilities (GSIF) development team over the period 2014?2017