Soil Resources and Its Mapping Through Geostatistics Using R and QGIS
1st Edition
Published on 25. June 2024
Book
Paperback/Softback
352 pages
978-1-032-65404-1 (ISBN)
Description
This book will provide an exposure to recent developments in the field of geostatistical modeling, spatial variability of soil resources, and preparation of digital soil maps using R and GIS and potential application of it in agricultural resource management.
Please note: This title is co-published with New India Publishing Agency, Delhi. Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka
Please note: This title is co-published with New India Publishing Agency, Delhi. Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 19 mm
Weight
513 gr
ISBN-13
978-1-032-65404-1 (9781032654041)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Priyabrata Santra | Mahesh Kumar | N.R. Panwar
Soil Resources and Its Mapping Through Geostatistics Using R and QGIS
Book
11/2019
1st Edition
CRC Press
€233.30
Shipment within 15-20 days
Persons
Priyabrata Santra, Mahesh Kumar, Navraten Panwar, C.B. Pandey, ICAR- Central Arid Zone Research Institute Jodhpur, Rajasthan.
Content
1. Fundamentals of spatial processes and geostatistics 2. Field soil sampling using GIS and spatial data handling 3. Spatial variability analysis using semi variogram approach 4. Introduction to 'GSTAT' package of R and QGIS 5. Kriging technique and other advanced geostatistical approaches 6. Procedures of preparing digital soil maps in R 7. Assessment of uncertainty and error of digital soil maps 8. Case studies on digital soil mapping