Articles | Volume 1, issue 1
Original research article
04 Mar 2015
Original research article |  | 04 Mar 2015

Comparison of spatial association approaches for landscape mapping of soil organic carbon stocks

B. A. Miller, S. Koszinski, M. Wehrhan, and M. Sommer


Total article views: 4,650 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,441 1,879 330 4,650 259 283
  • HTML: 2,441
  • PDF: 1,879
  • XML: 330
  • Total: 4,650
  • BibTeX: 259
  • EndNote: 283
Views and downloads (calculated since 05 Nov 2014)
Cumulative views and downloads (calculated since 05 Nov 2014)


Saved (final revised paper)

Saved (preprint)

Latest update: 03 Dec 2023
Short summary
There are many different strategies for mapping SOC, among which is to model the variables needed to calculate the SOC stock indirectly or to model the SOC stock directly. The purpose of this research was to compare these two approaches for mapping SOC stocks from multiple linear regression models applied at the landscape scale via spatial association. Although the indirect approach had greater spatial variation and higher R2 values, the direct approach had a lower total estimated error.