A data-driven spline model designed to predict paleoclimate using paleosol geochemistry

Gary E. Stinchcomb; Lee C. Nordt; Steven G. Driese; William E. Lukens; Forrest C. Williamson; Jack D. Tubbs

doi:10.2475/08.2016.02

Research ArticleArticles

A data-driven spline model designed to predict paleoclimate using paleosol geochemistry

Gary E. Stinchcomb, Lee C. Nordt, Steven G. Driese, William E. Lukens, Forrest C. Williamson and Jack D. Tubbs

American Journal of Science October 2016, 316 (8) 746-777; DOI: https://doi.org/10.2475/08.2016.02

Gary E. Stinchcomb

* Watershed Studies Institute & Department of Geosciences, Murray State University, Murray, Kentucky 42071

** Terrestrial Paleoclimatology Research Group, Department of Geosciences, Baylor University, Waco, Texas 76798

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
For correspondence: gstinchcomb@murraystate.edu

Lee C. Nordt

** Terrestrial Paleoclimatology Research Group, Department of Geosciences, Baylor University, Waco, Texas 76798

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Steven G. Driese

** Terrestrial Paleoclimatology Research Group, Department of Geosciences, Baylor University, Waco, Texas 76798

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

William E. Lukens

** Terrestrial Paleoclimatology Research Group, Department of Geosciences, Baylor University, Waco, Texas 76798

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Forrest C. Williamson

*** Department of Statistical Science, Baylor University, Waco, Texas 76798

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Jack D. Tubbs

*** Department of Statistical Science, Baylor University, Waco, Texas 76798

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Article
Figures & Data
References
Info & Metrics
PDF

Article Information

vol. 316 no. 8 746-777

DOI

https://doi.org/10.2475/08.2016.02

Published By

American Journal of Science

Print ISSN

0002-9599

Online ISSN

1945-452X

History

Published online October 4, 2016.

Author Information

Gary E. Stinchcomb*,**,^†,
Lee C. Nordt**,
Steven G. Driese**,
William E. Lukens**,
Forrest C. Williamson*** and
Jack D. Tubbs***

^* Watershed Studies Institute & Department of Geosciences, Murray State University, Murray, Kentucky 42071
^** Terrestrial Paleoclimatology Research Group, Department of Geosciences, Baylor University, Waco, Texas 76798
^*** Department of Statistical Science, Baylor University, Waco, Texas 76798

↵† Corresponding author: gstinchcomb{at}murraystate.edu; phone: 270-809-6761

View Full Text

Cited By...

34 Citations
Google Scholar

PreviousNext

In this issue

American Journal of Science

Vol. 316, Issue 8

1 Oct 2016

Table of Contents
Table of Contents (PDF)
About the Cover
Index by author
Ed Board (PDF)

Download PDF

Article Alerts

User Name *

Password *

Email *

Email Article

Thank you for your interest in spreading the word on American Journal of Science.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

You are going to email the following A data-driven spline model designed to predict paleoclimate using paleosol geochemistry

Message Subject (Your Name) has sent you a message from American Journal of Science

Message Body (Your Name) thought you would like to see the American Journal of Science web site.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Math question * 5 + 15 =

Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Citation Tools

A data-driven spline model designed to predict paleoclimate using paleosol geochemistry

Gary E. Stinchcomb, Lee C. Nordt, Steven G. Driese, William E. Lukens, Forrest C. Williamson, Jack D. Tubbs

American Journal of Science Oct 2016, 316 (8) 746-777; DOI: 10.2475/08.2016.02

Citation Manager Formats

BibTeX
Bookends
EasyBib
EndNote (tagged)
EndNote 8 (xml)
Medlars
Mendeley
Papers
RefWorks Tagged
Ref Manager
RIS
Zotero

A data-driven spline model designed to predict paleoclimate using paleosol geochemistry

Gary E. Stinchcomb, Lee C. Nordt, Steven G. Driese, William E. Lukens, Forrest C. Williamson, Jack D. Tubbs

American Journal of Science Oct 2016, 316 (8) 746-777; DOI: 10.2475/08.2016.02

Share This Article:

Tweet Widget
Facebook Like
Google Plus One

Jump to section

Article
Figures & Data
Info & Metrics
References
PDF

No related articles found.

Google Scholar

Cited By...

Co-occurrence of Acheulian and Oldowan artifacts with Homo erectus cranial fossils from Gona, Afar, Ethiopia
Recursive partitioning improves paleosol proxies for rainfall
The effect of soil temperature seasonality on climate reconstructions from paleosols

Google Scholar

Keywords

weathering model
climosequence
soil geochemistry
Partial Least Squares

Main menu

User menu

Search

A data-driven spline model designed to predict paleoclimate using paleosol geochemistry

Article Information

Author Information

Cited By...

In this issue

Citation Manager Formats

Related Articles

Cited By...

More in this TOC Section

Similar Articles

Keywords

Navigate

More Information

Other Services