Multidimensional Tool for the Visualization of Spatiotemporal Variance in Soil Moisture

dc.contributor.author Nekolny, Brett
dc.contributor.author Crawford, Kristin
dc.contributor.author Goering, Joseph
dc.contributor.author Kaphingst, Stephanie
dc.contributor.author Kaleita, Amy
dc.contributor.author Winer, Eliot
dc.contributor.department Department of Agricultural and Biosystems Engineering (ENG)
dc.date 2018-02-13T07:03:44.000
dc.date.accessioned 2020-06-29T22:32:42Z
dc.date.available 2020-06-29T22:32:42Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2009
dc.date.embargo 2013-03-11
dc.date.issued 2009-06-01
dc.description.abstract <p>With water a precious resource, it is important to understand factors affecting soil moisture. Current research focuses on understanding this relationship; unfortunately these methods are specialized in their applications or overwhelm the user with information making correlations difficult to comprehend. Often, numerical results provide understanding of prominent correlations but miss subtle relationships, hindering subsequent decisions. This project aims to develop a decision making tool combining numerical analysis with visualization techniques to provide the user with the information to analyze soil moisture’s spatial and temporal variability. Current work has shown that self-organizing maps are effective for displaying comprehendible relationships to the user.</p>
dc.description.comments <p>This is an ASABE Meeting Presentation, Paper No. <a href="http://elibrary.asabe.org/abstract.asp?aid=27300&t=3&dabs=Y&redir=&redirType=" target="_blank">097207</a>.</p>
dc.identifier archive/lib.dr.iastate.edu/abe_eng_conf/238/
dc.identifier.articleid 1241
dc.identifier.contextkey 3885150
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_conf/238
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/248
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_conf/238/2009_NekolnyBM_MultidimensionalTool.pdf|||Fri Jan 14 22:49:36 UTC 2022
dc.subject.disciplines Aerospace Engineering
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Mechanical Engineering
dc.subject.keywords Self-Organizing Map
dc.subject.keywords Spatial Variability
dc.subject.keywords Evapotranspiration
dc.subject.keywords Clustering
dc.subject.keywords Mechanical Engineering
dc.subject.keywords Aerospace Engineering
dc.title Multidimensional Tool for the Visualization of Spatiotemporal Variance in Soil Moisture
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 8a405b08-e1c8-4a10-b458-2f5a82fcf148
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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