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Digital Terrain Analysis In Soil Science And Geology 2nd Edition Igor Florinsky

  • SKU: BELL-5601858
Digital Terrain Analysis In Soil Science And Geology 2nd Edition Igor Florinsky
$ 31.00 $ 45.00 (-31%)

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Digital Terrain Analysis In Soil Science And Geology 2nd Edition Igor Florinsky instant download after payment.

Publisher: Academic Press
File Extension: PDF
File size: 132.69 MB
Pages: 506
Author: Igor Florinsky
ISBN: 9780128046326, 9780128046333, 0128046325, 0128046333
Language: English
Year: 2016
Edition: 2

Product desciption

Digital Terrain Analysis In Soil Science And Geology 2nd Edition Igor Florinsky by Igor Florinsky 9780128046326, 9780128046333, 0128046325, 0128046333 instant download after payment.

Digital Terrain Analysis in Soil Science and Geology, Second Edition, synthesizes the knowledge on methods and applications of digital terrain analysis and geomorphometry in the context of multi-scale problems in soil science and geology. Divided into three parts, the book first examines main concepts, principles, and methods of digital terrain modeling. It then looks at methods for analysis, modeling, and mapping of spatial distribution of soil properties using digital terrain analysis, before finally considering techniques for recognition, analysis, and interpretation of topographically manifested geological features. Digital Terrain Analysis in Soil Science and Geology, Second Edition, is an updated and revised edition, providing both a theoretical and methodological basis for understanding and applying geographical modeling techniques.

  • Presents an integrated and unified view of digital terrain analysis in both soil science and geology
  • Features research on new advances in the field, including DEM analytical approximation, analytical calculation of local morphometric variables, morphometric globes, and two-dimensional generalized spectral analytical methods
  • Includes a rigorous description of the mathematical principles of digital terrain analysis
  • Provides both a theoretical and methodological basis for understanding and applying geographical modeling

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