Commit fd22d040 authored by Asquith, William H.'s avatar Asquith, William H.

Update README.md

parent a8d807db
......@@ -6,6 +6,7 @@
#### Point of contact: William H. Asquith (wasquith@usgs.gov)
#### Version: [1.0.3](https://code.usgs.gov/map/gw/visGWDBmrva/-/tags/v1.0.3)
#### Publication Year: 2019
#### Version Year: 2020
#### Digital Object Identifier (DOI): https://doi.org/10.5066/P9W004O6
#### USGS Information Product Data System (IPDS) no.: IP-108240 (internal agency tracking)
......@@ -29,17 +30,7 @@ Wade H. Kress, [0000-0002-6833-028X](https://orcid.org/0000-0002-6833-028X).
# INTRODUCTION
This README describes a near frozen and independent repository of the **visGWDB**
groundwater-level informatics software framework written in the _R_ language
(R Development Core Team, 2019), which is a computer language freely available for
many computer platforms. In particular, this README describes a frozen instance of the
**visGWDB** framework that is in this **visGWDBmrva** repository, which is approved for
release (see `./inst/USGSapproval20190726.pdf`). A separate nonpublic
development directory structure does exist (end of 2019) within a much larger
repository on groundwater-level information processing and delivery for the Mississippi
Alluvial Plain ([MAP](https://www2.usgs.gov/water/lowermississippigulf/map/)) Regional Water Availability Study
(accessed August 1, 2019 at https://www2.usgs.gov/water/lowermississippigulf/map/).
The MAP project extent is shown below.
This README describes a quasi-static and independent repository of the **visGWDB** groundwater-level informatics software framework written in the _R_ language (R Development Core Team, 2019), which is a computer language freely available for many computer platforms. In particular, this README describes an instance of the **visGWDB** framework that is in this **visGWDBmrva** repository, which is approved for release (see `./inst/USGSapproval20190726.pdf`). A separate nonpublic development directory structure does exist (end of 2019) within a much larger repository on groundwater-level information processing and delivery for the Mississippi Alluvial Plain ([MAP](https://www2.usgs.gov/water/lowermississippigulf/map/)) Regional Water Availability Study (accessed August 1, 2019 at https://www2.usgs.gov/water/lowermississippigulf/map/). The MAP project extent is shown below.
<img src='inst/www/MAP_basemap.jpg' width='500' align="middle" />
......@@ -70,9 +61,7 @@ algorithms useful for understanding, documenting, and communicating the informat
content of arbitrarily large groundwater-level databases. Through its demonstration
for the MRVA, the repository provides visualization of provided data, provides
well-to-well statistical summaries, provides trend statistics, constructs tables of
outliers, and provides time-series modeling of the data. The aforementioned paper
(Asquith and others, 2020) provides extensive discussion based on data for seven
example wells out of nearly 19,000 wells.
outliers, tables of monthly means ([MONTHLY_ROLLUP](https://code.usgs.gov/map/gw/visGWDBmrva/-/blob/master/include/MONTHLY_ROLLUP.md)), and provides time-series modeling of the data. The aforementioned paper (Asquith and others, 2020) provides extensive discussion based on data for seven example wells out of nearly 19,000 wells.
The framework is designed to generate hydrographs of well-by-well data in conjunction
with depictions of water levels from nearby wells. Generalized additive models (GAMs)
......@@ -84,14 +73,14 @@ statistically on the day of a real measurement. Such estimates are referred to a
pseudo-observations. Another feature of the GAMs and SVMs is that estimates of water
levels can be made on days without measurements, and this type of estimation is
branded as "pozo" in the framework. (Pozo is Spanish for water well.) For example,
continuous 15th of the month water levels can be estimated with uncertainty for the
continuous 28th of the month water levels can be estimated with uncertainty for the
benefit of parameter estimation in numerical groundwater flow models. The hydrograph
visualization also extends to depiction of metadata such as land-surface altitude, well
bottom, and top and bottom of screened openings. These concepts are demonstrated through
the production of output by the instructions given here and embodied by the
`output20191018.zip` reference archive provided here as well.
`output20191018.zip` reference archive provided as well.
In practice, the authors between 2016 through 2019, have developed and used various
In practice, the authors between 2016 through 2020, have developed and used various
instances of this framework for detection and listing of potentially anomalous data and
other curiosities for the purposes of database reconciliation and enhancement.
The authors use statistical output tables in the workflow for construction of
......@@ -208,7 +197,7 @@ contemporary (late summer 2019) completeness. Other aquifers in the Nation are a
being studied in part using one or more algorithms contained herein, though colleagues
tend to clone the development version.
3. As mentioned before, the framework is intended to be a static or frozen code base
3. As mentioned before, the framework is intended to be a quasi-static code base
to provide an archival reference. This is a critically important piece of background
information. Whereas, the authors will accommodate questions regarding **visGWDBmrva**
in this immediate archive so as to support select publications such as that by Killian
......
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