Comparing geospatial techniques to predict SOC stocks

Title
Comparing geospatial techniques to predict SOC stocks
Authors
Keywords
Soil organic carbon density, Spatial variation, Spatial dependency, Geographically weighted regression, Regression kriging, Geographically weighted regression kriging
Journal
SOIL & TILLAGE RESEARCH
Volume 148, Issue -, Pages 46-58
Publisher
Elsevier BV
Online
2014-12-17
DOI
10.1016/j.still.2014.12.002

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More