Spatial prediction of soil classes using digital terrain analysis and multinomial logistic regression modeling integrated in GIS: Examples from Vestfold County, Norway-Reference-Cited by-同舟云学术

Spatial prediction of soil classes using digital terrain analysis and multinomial logistic regression modeling integrated in GIS: Examples from Vestfold County, Norway

Published:2009-04 Issue:1 Volume:77 Page:8-18
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Debella-Gilo Misganu,Etzelmüller Bernd

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference36 articles.

1. Towards a soil information system with quantified accuracy;Brus,2007

2. Digital Soil Mapping as a Support to Production of Functional Maps. EUR 22123 EN;Dobos,2006

3. Multinomial goodness-of-fit tests for logistic regression models;Fagerland;Statistics in Medicine,2008

4. FAO, 1998. World reference base for soil resources. FAO, ISRIC and ISSS, Rome.

5. Primary topographic attributes;Gallant,2000

Cited by 80 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting the impacts of climate change on the geographic distribution of moso bamboo in China based on biomod2 model;European Journal of Forest Research;2024-06-22

2. An integrated machine-learning model for soil category classification based on CPT;Multiscale and Multidisciplinary Modeling, Experiments and Design;2023-12-26

3. An integrated machine learning model for soil category classification based on CPT;2023-08-29

4. Downscaling legacy soil information for hydrological soil mapping using multinomial logistic regression;Geoderma;2023-08

5. Improving prediction accuracy for acid sulfate soil mapping by means of variable selection;Frontiers in Environmental Science;2023-07-14