Source code in R to quality assure, plot, summarize, interpolate, and extend groundwater-level information, visGWDB---Groundwater-level informatics with demonstration for the Mississippi River Valley alluvial aquifer

This page contains extensive source code in the R language supporting groundwater level informatics, and the entry point is the script visGWDB.R. The approximately 4,000 lines of aggregate code requires also extensive external dependencies. The code provides for near arbitrary-scale information processing of observations or recordings of water levels associated groundwater resources. The processing includes well-by-well visualization of hydrographs, well metadata, and hydrographs for neighboring wells. The information processing extends to a myriad of statistics and hypothesis test results. Extensive README files are emplaced at the root level as well as subordinate directories; these describe thematic contents of this archive. The prime objective of this page is to provide a fully functioning run-out-of-the-box code base that will processes groundwater levels for the Mississippi River Valley alluvial aquifer (MRVA) located within the Mississippi River alluvial plain, south-central United States. However, the code herein is quite generalized and capable of processing other suitable prepared input datasets. A substantial binary data table represents an input dataset that is a snapshot (April 22, 2019) of the U.S. Geological Survey National Water Information System groundwater database for the MRVA (about 18,000 wells and about 290,000 measurements of daily mean water levels with first quartile observation date of April 19, 1967 [beginning is ambiguous because of date accuracy concerns] and last observation date of April 17, 2019). The binary data table is provided herein with the sole purpose demonstrating full functionality, and its presences within the archive is to help review and ensure the veracity of the code base. This page through open description and use of the visGWDB.R script supports a publication by reproducing seven base figures and monthly estimates of water levels for the seven wells for the period October 2007 through December 2018 (Asquith and others, 20NN). Other extensive outputs are reproducible as described in the README files. A reference copy of the output directory to be created by visGWDB.R is provided as a dated zipped directory (May 30, 2019) with the explicit intent to facilitate interested researchers in the study of the concepts and algorithms herein.