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Author:
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 428
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Author:
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 428
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Book Description
Author:
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 436
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Book Description
Author:
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 407
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Author:
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 332
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Author: T. Forbes
Publisher: Cornell University, Department of Agronomy
ISBN:
Category : Nature
Languages : en
Pages : 64
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Author: Shabbir A. Shahid
Publisher: Springer Science & Business Media
ISBN: 9400753322
Category : Science
Languages : en
Pages : 867
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Book Description
As the world’s population continues to expand, maintaining and indeed increasing agricultural productivity is more important than ever, though it is also more difficult than ever in the face of changing weather patterns that in some cases are leading to aridity and desertification. The absence of scientific soil inventories, especially in arid areas, leads to mistaken decisions about soil use that, in the end, reduce a region’s capacity to feed its population, or to guarantee a clean water supply. Greater efficiency in soil use is possible when these resources are properly classified using international standards. Focusing on arid regions, this volume details soil classification from many countries. It is only once this information is properly assimilated by policymakers it becomes a foundation for informed decisions in land use planning for rational and sustainable uses.
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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Author: Tomislav Hengl
Publisher: Lulu.com
ISBN: 0359306357
Category :
Languages : en
Pages : 372
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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:
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ISBN:
Category : Soil surveys
Languages : en
Pages : 214
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