Predictive Soil Mapping with R


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




Digital Soil Mapping


Book Description

The book compiles the main ideas and methodologies that have been proposed and tested within these last fifteen years in the field of Digital Soil Mapping (DSM). Begining with current experiences of soil information system developments in various regions of the world, this volume presents states of the art of different topics covered by DSM: Conception and handling of soil databases, sampling methods, new soil spatial covariates, Quantitative spatial modelling, Quality assessment and representation of DSM outputs. This book provides a solid support to students, researchers and engineers interested in modernising soil survey approaches with numerical techniques. It is also of great interest for potential soil data users.* A new concept to meet the worldwide demand for spatial soil data * The first compilation of ideas and methodologies of Digital Soil Mapping * Offers a variety of specialities: soil surveying, geostatistics, data mining, fuzzy logic, remote sensing techniques, Geographical Information Science,...* Written by 82 researchers from 13 different countries




Using R for Digital Soil Mapping


Book Description

This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spatial data in R. The book also introduces the basic concepts and practices for building spatial soil prediction functions, and then ultimately producing digital soil maps.




Soil Mapping and Process Modeling for Sustainable Land Use Management


Book Description

Soil Mapping and Process Modeling for Sustainable Land Use Management is the first reference to address the use of soil mapping and modeling for sustainability from both a theoretical and practical perspective. The use of more powerful statistical techniques are increasing the accuracy of maps and reducing error estimation, and this text provides the information necessary to utilize the latest techniques, as well as their importance for land use planning. Providing practical examples to help illustrate the application of soil process modeling and maps, this reference is an essential tool for professionals and students in soil science and land management who want to bridge the gap between soil modeling and sustainable land use planning.







Soil Survey


Book Description







Digital Soil Mapping with Limited Data


Book Description

Signi?cant technological advances have been few and far between in the past approximately one hundred years of soil survey activities. Perhaps one of the most innovative techniques in the history of soil survey was the introduction of aerial photographs as base maps for ?eld mapping, which replaced the conventional base map laboriously prepared by planetable and alidade. Such a relatively simple idea by today’s standards revolutionized soil surveys by vastly increasing the accuracy and ef?ciently. Yet, even this innovative approach did not gain universal acceptance immediately and was hampered by a lack of aerial coverage of the world, funds to cover the costs, and in some cases a reluctance by some soil mappers and cartog- phers to change. Digital Soil Mapping (DSM), which is already being used and tested by groups of dedicated and innovative pedologists, is perhaps the next great advancement in delivering soil survey information. However, like many new technologies, it too has yet to gain universal acceptance and is hampered by ignorance on the part of some pedologists and other scientists. DSM is a spatial soil information system created by numerical models that - count for the spatial and temporal variations of soil properties based on soil - formation and related environmental variables (Lagacheric and McBratney, 2007).




Soil Mapping and Process Modeling for Sustainable Land Use Management


Book Description

Soil Mapping and Process Modeling for Sustainable Land Use Management is the first reference to address the use of soil mapping and modeling for sustainability from both a theoretical and practical perspective. The use of more powerful statistical techniques are increasing the accuracy of maps and reducing error estimation, and this text provides the information necessary to utilize the latest techniques, as well as their importance for land use planning. Providing practical examples to help illustrate the application of soil process modeling and maps, this reference is an essential tool for professionals and students in soil science and land management who want to bridge the gap between soil modeling and sustainable land use planning. - Offers both a theoretical and practical approach to soil mapping and its uses in land use management for sustainability - Synthesizes the most up-to-date research on soil mapping techniques and applications - Provides an interdisciplinary approach from experts worldwide working in soil mapping and land management




Global Soil Biodiversity Atlas


Book Description

"The Atlas describes soil as habitat for the diversity of organisms that live under our feet. At the same time, it draws attention to the threats to soil biodiversity, such as invasive species, pollution, intensive land use practices or climate change. The Atlas provides current solutions for a sustainable management of soils. It was coordinated by the JRC and the Global Soil Biodiversity Initiative (www.globalsoilbiodiversity.org) with more than 70 contributing organisations and several hundred individual contributions. It illustrates the diversity of soil organisms, explains their geographical and temporal distribution, the ecosystem functions and services provided by soil biota. Most importantly, it draws attention to the myriad of threats to soil biodiversity. These include inappropriate land management practices (e.g. deforestation, land take for infrastructure development), agricultural systems, over-grazing, forest fires and poor water management (both irrigation and drainage). Other practices such as land conversion from grassland or forest to cropped land result in rapid loss of soil carbon, which indirectly enhances global warming. The Atlas shows that mismanaging soils could exacerbate the effects of climate change, jeopardise agricultural production, compromise the quality of ground water and worsen pollution. It also proposes solutions to safeguard soil biodiversity through the development of policies that directly or indirectly target soil health, leading to a more sustainable use."--