Soil Resource Inventories and Development Planning PDF Download
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Author:
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 436
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Author:
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 436
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Book Description
Author: T. Forbes
Publisher: Cornell University, Department of Agronomy
ISBN:
Category : Nature
Languages : en
Pages : 64
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Author: Charles C. Adamson
Publisher:
ISBN:
Category : Shasta-Trinity National Forest (Calif.)
Languages : en
Pages : 140
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Author: Kenneth E. Johnson
Publisher:
ISBN:
Category : Shasta-Trinity National Forest (Calif.)
Languages : en
Pages : 98
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Book Description
Author: Tomislav Hengl
Publisher: Lulu.com
ISBN: 0359306357
Category : Technology & Engineering
Languages : en
Pages : 372
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Book 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
Author:
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 214
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Author: Garwin T. Carlson
Publisher:
ISBN:
Category : Forest soils
Languages : en
Pages : 244
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Author: John D. Sutton
Publisher:
ISBN:
Category : Agricultural productivity
Languages : en
Pages : 50
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Author: Food and Agriculture Organization of the United Nations. Eastern African Sub-Committee for Soil Correlation and Land Evaluation
Publisher: Food & Agriculture Org.
ISBN: 9789251026755
Category : Business & Economics
Languages : en
Pages : 172
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Author:
Publisher:
ISBN:
Category : Economic development
Languages : en
Pages : 1136
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