An approach to extrapolate categorical agricultural soil data to nonmapped areas using majority vote-Reference-Cited by-同舟云学术

An approach to extrapolate categorical agricultural soil data to nonmapped areas using majority vote

Published:2009-08 Issue:4 Volume:172 Page:467-476
ISSN:1436-8730
Container-title:Journal of Plant Nutrition and Soil Science
language:en
Short-container-title:Z. Pflanzenernähr. Bodenk.

Author:

Böhm Christian¹,Kiesel Joachim²,Deumlich Detlef³,Thiere Jürgen³

Affiliation:

1. Chair of Soil Protection and Recultivation, Brandenburg University of Technology, Konrad‐Wachsmann‐Allee 6, 03046 Cottbus, Germany

2. Institute of Landscape Systems Analysis, Leibniz‐Centre for Agricultural Landscape Research (ZALF) e. V., Eberswalder Str. 84, 15374 Müncheberg, Germany

3. Institute of Soil Landscape Research,Leibniz‐Centre for Agricultural Landscape Research (ZALF) e. V., Eberswalder Str. 84, 15374 Müncheberg, Germany

Publisher

Wiley

Subject

Plant Science,Soil Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jpln.200700057

Reference24 articles.

1. Digital soil mapping using artificial neural networks

2. A strategy to fill gaps in soil survey over large spatial extents: an example from the Murray–Darling basin of Australia

3. Soil variability: a late 20th century view.;Burrough P. A.;Soils Fert.,1993

4. Quantitative mapping of soil types based on regression kriging of taxonomic distances with landform and land cover attributes

5. A Coefficient of Agreement for Nominal Scales

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