| water {alr4} | R Documentation |
California water
Description
Can Southern California's water supply in future years be predicted from past data? One factor affecting water availability is stream runoff. If runoff could be predicted, engineers, planners and policy makers could do their jobs more efficiently. Multiple linear regression models have been used in this regard. This dataset contains 43 years worth of precipitation measurements taken at six sites in the Owens Valley ( labeled APMAM, APSAB, APSLAKE, OPBPC, OPRC, and OPSLAKE), and stream runoff volume at a site near Bishop, California.
Format
This data frame contains the following columns:
- Year
-
collection year
- APMAM
-
Snowfall in inches measurement site
- APSAB
-
Snowfall in inches measurement site
- APSLAKE
-
Snowfall in inches measurement site
- OPBPC
-
Snowfall in inches measurement site
- OPRC
-
Snowfall in inches measurement site
- OPSLAKE
-
Snowfall in inches measurement site
- BSAAM
-
Stream runoff near Bishop, CA, in acre-feet
Source
Source: http://www.stat.ucla.edu.
References
Weisberg, S. (2014). Applied Linear Regression, 4th edition. Hoboken NJ: Wiley.
Examples
head(water)