Skip to main content
USGS - science for a changing world

2010 County and City-Level Water-Use Data and Associated Explanatory Variables

Dates

Publication Date
Time Period
2014

Citation

Worland, S.C., 2017, 2010 County and City-Level Water-Use Data and Associated Explanatory Variables: U.S. Geological Survey data release, https://doi.org/10.5066/F72Z14FR.

Summary

This data release contains the input-data files and R scripts associated with the analysis presented in Worland and others (2018). The spatial extent of the data is the contiguous U.S. The input-data files include one comma separated value (csv) file of county-level data, and one csv file of city-level data. The county-level csv (“county_data.csv”) contains data for 3,109 counties. This data includes two measures of water use, descriptive information about each county, three grouping variables (climate region, urban class, and economic dependency), and contains 18 explanatory variables: proportion of population growth from 2000-2010, fraction of withdrawals from surface water, average daily water yield, mean annual maximum temperature [...]

Contacts

Point of Contact :
Scott C Worland
Originator :
Scott C Worland
Metadata Contact :
Scott C Worland
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Water Resources
SDC Data Owner :
Lower Mississippi-Gulf Water Science Center

Attached Files

Click on title to download individual files attached to this item.

1_mg_fixed_pooled.R
“Fits linear model for entire CONUS”
1.78 KB
2_mg_unpooled_climate.R
“Fits linear model for each climate region”
2.18 KB
3_mg_a_vary_climate.R
“Fits linear varying-intercept model for climate regions”
991 Bytes
4_mg_a_vary_climate_fixed_b.R
“Fits linear mixed-effects models for climate regions”
1.63 KB
5_mg_a_b_vary_climate.R
“Fits linear varying-effects model for climate regions”
1.79 KB
6_mg_a_vary_econ.R
“Fits linear varying-intercept model for economic dependency label ”
1.04 KB
7_mg_a_b_vary_econ.R
“Fits linear varying-effects model for economic dependency label”
1.69 KB
8_mg_a_vary_urb.R
“Fits linear varying-intercept model for urban class”
1.08 KB
9_mg_a_b_vary_urb.R
“Fit linear varying-effects model for urban class”
1.72 KB
10_mb_fixed_pooled.R
“Fits logistic fixed-effects model”
1.61 KB
11_mb_a_b_vary_climate.R
“Fits logistic varying-effects model”
1.86 KB
build_cnty_data.R
“R script that shows framework for assembling county data set”
13.19 KB
city_models.R
“R script that builds city-level models”
1.91 KB
city_param_plots.R
“R script that plots posterior parameters for the city-level models”
2.52 KB
city_preds_plots.R
“R script that plots posterior predictions for the city-level models”
2.65 KB
county_model_compare.R
“R script that compares county models”
994 Bytes
city_data.csv
“city-level data”
8.06 KB
county_data.csv
“county-level data”
569.74 KB
param_rank.png
“parameter-type ranks”
thumbnail 160.92 KB
readme.pdf
“README for data release”
121.86 KB
metadata_2010_county_ city_level_data_models.xml
“metadata”
Original FGDC Metadata

View
43.37 KB

Purpose

The data was collected to explore the drivers of water use in the contiguous United States and support the analysis in the companion journal article: Worland, S.C., Steinschneider, S., and Hornberger, G.M., 2018, Drivers of variablility in public-supply water use across the contiguous United States, Water Resources Researcher, 54, pp. 1868-1889, https://doi.org/10.1002/2017WR021268.
parameter-type ranks
parameter-type ranks

Map

Communities

  • USGS Lower Mississippi-Gulf Water Science Center

Tags

Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F72Z14FR

Item Actions

View Item as ...

Save Item as ...

View Item...