Digital spatial data for observed, predicted, and misclassification errors for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest Principal Aquifers study area
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Abstract
Suggested Citation
McKinney, T., and Anning, D.W., 2012, Digital spatial data for observed, predicted, and misclassification errors for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest Principal Aquifers study area: U.S. Geological Survey Data Series 697, Report: iv, 2 p.; Metadata, https://doi.org/10.3133/ds697.
ISSN: 2327-638X (online)
Study Area
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Digital spatial data for observed, predicted, and misclassification errors for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest Principal Aquifers study area |
| Series title | Data Series |
| Series number | 697 |
| DOI | 10.3133/ds697 |
| Year Published | 2012 |
| Language | English |
| Publisher | U.S. Geological Survey |
| Publisher location | Reston, VA |
| Contributing office(s) | Utah Water Science Center |
| Description | Report: iv, 2 p.; Metadata |
| Country | United States |
| State | Arizona, California, Colorado, Idaho, Nevada, New Mexico, Oregon, Utah |