Novel theoretical insights into geomorphic process–environment relationships using simulated response curves

Abstract Robust models of geomorphic process–environment relationships are important to advance theoretical knowledge of geomorphic systems. Here, we examined a generalized additive modeling (GAM) based approach to provide new theoretical insights into process–environment relationships. More precise...

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Published in:Earth Surface Processes and Landforms
Main Authors: Hjort, Jan, Luoto, Miska
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2011
Subjects:
Gam
Online Access:http://dx.doi.org/10.1002/esp.2048
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fesp.2048
https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.2048
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spelling crwiley:10.1002/esp.2048 2024-09-09T20:10:49+00:00 Novel theoretical insights into geomorphic process–environment relationships using simulated response curves Hjort, Jan Luoto, Miska 2011 http://dx.doi.org/10.1002/esp.2048 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fesp.2048 https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.2048 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Earth Surface Processes and Landforms volume 36, issue 3, page 363-371 ISSN 0197-9337 1096-9837 journal-article 2011 crwiley https://doi.org/10.1002/esp.2048 2024-06-20T04:27:36Z Abstract Robust models of geomorphic process–environment relationships are important to advance theoretical knowledge of geomorphic systems. Here, we examined a generalized additive modeling (GAM) based approach to provide new theoretical insights into process–environment relationships. More precisely, we (i) simulated the shapes of the relationships between geomorphic processes and environmental variables based on GAM and (ii) compared the shapes of the simulated response curves to (a) the hypothetical curves based on theory and (b) the response curves produced by generalized linear modeling (GLM). Hitherto, GLM was the most common technique to study the relationships between environmental gradients and geomorphic processes. The study is based on empirical cryoturbation and solifluction data and environmental variables from subarctic Finland. Our results showed that non‐linear relationships were more common than linear responses and the simulated GAM based response curves coincided more closely with the hypothetical response curves than did the response curves derived from GLM. The simulated response curves showed high potential in geomorphic hypothesis testing. In conclusion, our findings indicate that careful examination of the response curves may provide new insights into theoretical debates in the earth sciences. Copyright © 2010 John Wiley and Sons, Ltd. Article in Journal/Newspaper Subarctic Wiley Online Library Gam ENVELOPE(-57.955,-57.955,-61.923,-61.923) Earth Surface Processes and Landforms 36 3 363 371
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Robust models of geomorphic process–environment relationships are important to advance theoretical knowledge of geomorphic systems. Here, we examined a generalized additive modeling (GAM) based approach to provide new theoretical insights into process–environment relationships. More precisely, we (i) simulated the shapes of the relationships between geomorphic processes and environmental variables based on GAM and (ii) compared the shapes of the simulated response curves to (a) the hypothetical curves based on theory and (b) the response curves produced by generalized linear modeling (GLM). Hitherto, GLM was the most common technique to study the relationships between environmental gradients and geomorphic processes. The study is based on empirical cryoturbation and solifluction data and environmental variables from subarctic Finland. Our results showed that non‐linear relationships were more common than linear responses and the simulated GAM based response curves coincided more closely with the hypothetical response curves than did the response curves derived from GLM. The simulated response curves showed high potential in geomorphic hypothesis testing. In conclusion, our findings indicate that careful examination of the response curves may provide new insights into theoretical debates in the earth sciences. Copyright © 2010 John Wiley and Sons, Ltd.
format Article in Journal/Newspaper
author Hjort, Jan
Luoto, Miska
spellingShingle Hjort, Jan
Luoto, Miska
Novel theoretical insights into geomorphic process–environment relationships using simulated response curves
author_facet Hjort, Jan
Luoto, Miska
author_sort Hjort, Jan
title Novel theoretical insights into geomorphic process–environment relationships using simulated response curves
title_short Novel theoretical insights into geomorphic process–environment relationships using simulated response curves
title_full Novel theoretical insights into geomorphic process–environment relationships using simulated response curves
title_fullStr Novel theoretical insights into geomorphic process–environment relationships using simulated response curves
title_full_unstemmed Novel theoretical insights into geomorphic process–environment relationships using simulated response curves
title_sort novel theoretical insights into geomorphic process–environment relationships using simulated response curves
publisher Wiley
publishDate 2011
url http://dx.doi.org/10.1002/esp.2048
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fesp.2048
https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.2048
long_lat ENVELOPE(-57.955,-57.955,-61.923,-61.923)
geographic Gam
geographic_facet Gam
genre Subarctic
genre_facet Subarctic
op_source Earth Surface Processes and Landforms
volume 36, issue 3, page 363-371
ISSN 0197-9337 1096-9837
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/esp.2048
container_title Earth Surface Processes and Landforms
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