Statistical Analysis of Water Level Records in the Mississippi River Valley Alluvial Aquifer in Missouri from the Missouri Department of Natural Resources' Well Information Management System (WIMS)

Dates

Publication Date: 2020-06-12
Start Date: 1983-01-01
End Date: 2016-12-31

Citation

Smith, D.C., Asquith, W.H., and Seanor, R.C., 2020, Quality Assurance of Water Levels in the Mississippi River Valley Alluvial Aquifer in Missouri from the Missouri Department of Natural Resource's Well Information Management System (WIMS): U.S. Geological Survey data release, https://doi.org/10.5066/F7PR7V63.

Summary

This data set consists of the results of the statistical analysis (Asquith and others, 2020) of the remaining 10,295 water level records that met specific criteria to ensure that the water level records were representative of true groundwater conditions in the Mississippi River Valley alluvial aquifer. The data are provided in a CSV file named StatisticalAnalysis.csv, and in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that have been compressed into a zip archive named StatisticalAnalysis.zip.

Summary

This data set consists of the results of the statistical analysis (Asquith and others, 2020) of the remaining 10,295 water level records that met specific criteria to ensure that the water level records were representative of true groundwater conditions in the Mississippi River Valley alluvial aquifer.

The data are provided in a CSV file named StatisticalAnalysis.csv, and in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that have been compressed into a zip archive named StatisticalAnalysis.zip.

Contacts

Originator :: David C Smith, Ronald C Seanor, William H Asquith
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase

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StatisticalAnalysis.xml Original FGDC Metadata	View	18.82 KB	application/fgdc+xml
StatisticalAnalysis.csv		1.04 MB	text/csv

Shapefile: StatisticalAnalysis.zip
StatisticalAnalysis.cpg		5 Bytes
StatisticalAnalysis.dbf		4.64 MB
StatisticalAnalysis.prj		155 Bytes
StatisticalAnalysis.sbn		102.47 KB
StatisticalAnalysis.sbx		6.13 KB
StatisticalAnalysis.shp		281.6 KB
StatisticalAnalysis.shx		80.53 KB

Related External Resources

Type: Related Primary Publication

Asquith, W.H., Seanor, R.C., McGuire, V.L., and Kress, W.H., 2020, Methods to quality assure, plot, summarize, interpolate, and extend groundwater-level Information---Examples for the Mississippi River Valley alluvial aquifer: Journal of Environmental Modeling and Software.	https://www.journals.elsevier.com/environmental-modelling-and-software

Type: Citation

Asquith, W.H., Seanor, R.C., Kress, W.H., 2018. Informatics of groundwater level measurements, anomalous data detection, and exploratory long-term monitoring network identification for the Mississippi River Valley alluvial aquifer, USA: Mississippi Alluvial Plain (MAP) Regional water-availability study, Reports and Data Releases, accessed on February 2, 2018 at https://www2.usgs.gov/water/lowermississippigulf/map/info/posters/GWinformaticsPoster.pdf	https://www2.usgs.gov/water/lowermississippigulf/map/info/posters/GWinformaticsPoster.pdf
Faraway, J.J., 2005. Linear models with R. Chapman & Hall/CRC, Boca Raton, Florida, ISBN 1–58488–425–8.	https://doi.org/10.1002/sim.2286
Faraway, J.J., 2006. Extending the linear model with R—Generalized linear, mixed effects and nonparametric regression models. Chapman & Hall/CRC, Boca Raton, Florida, ISBN 978–1–58488–424–8.	https://link.springer.com/article/10.1007/s00180-009-0152-1
Kuhn M., Johnson, K., 2016. Applied predictive modeling. Springer, New York, ISBN 978–1–46146–848–6.	https://www.springer.com/gp/book/9781461468486
Steinwart, I., and Christmann, A., 2008. Support vector machines. Springer, New York, 601 p., ISBN 978–0–387–77241–7.	https://www.springer.com/gp/book/9780387772417
Wood, S.N., 2017. Generalized additive models—An introduction with R (2d ed.). Chapman & Hall/CRC, Boca Raton, Florida, 476 p., ISBN 978–1–4987–2833– 1.	https://www.crcpress.com/Generalized-Additive-Models-An-Introduction-with-R-Second-Edition/Wood/p/book/9781498728331

Purpose

The purpose of this dataset is to show the results of applied statistical analysis to water level records extracted from the Missouri Department of Natural Resources’ (MoDNR) Well Information Management System (WIMS) for use in groundwater models of the Mississippi River Valley alluvial aquifer. The statistical analysis helps to ensure the water levels are a best representation of groundwater conditions in the aquifer.

Statistical Analysis of Water Level Records in the Mississippi River Valley Alluvial Aquifer in Missouri from the Missouri Department of Natural Resources' Well Information Management System (WIMS)

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Purpose

Map

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Additional Information

Shapefile Extension

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View Item...

Attached Files

sorting

Metadata First

Recent First

Alphabetical