murray: The Murray smelter site dataset
In SpatialPack: Tools for Assessment the Association Between Two Spatial Processes
murray R Documentation
The Murray smelter site dataset
Description
The dataset consists of soil samples collected in and around the vacant, industrially
contaminated, Murray smelter site (Utah, USA). This area was polluted by airborne emissions
and the disposal of waste slag from the smelting process. A total of 253 locations were
included in the study, and soil samples were taken from each location. Each georeferenced
sample point is a pool composite of four closely adjacent soil samples in which the
concentration of the heavy metals arsenic (As) and lead (Pb) was determined.
Usage
data(murray)
Format
A data frame with 253 observations on the following 5 variables.
- As
arsenic concentrations measurements.
- Pb
lead concentrations measurements.
- xpos
-
x-coordinates.
- ypos
-
y-coordinates.
- quad
a factor where numbers indicate different sub-regions within the area.
Source
Griffith, D., Paelinck, J.H.P. (2011).
Non-Standard Spatial Statistics.
Springer, New York.
SpatialPack documentation built on Aug. 19, 2022, 5:20 p.m.
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| murray | R Documentation |
The Murray smelter site dataset
Description
The dataset consists of soil samples collected in and around the vacant, industrially contaminated, Murray smelter site (Utah, USA). This area was polluted by airborne emissions and the disposal of waste slag from the smelting process. A total of 253 locations were included in the study, and soil samples were taken from each location. Each georeferenced sample point is a pool composite of four closely adjacent soil samples in which the concentration of the heavy metals arsenic (As) and lead (Pb) was determined.
Usage
data(murray)
Format
A data frame with 253 observations on the following 5 variables.
- As
arsenic concentrations measurements.
- Pb
lead concentrations measurements.
- xpos
-
x-coordinates. - ypos
-
y-coordinates. - quad
a factor where numbers indicate different sub-regions within the area.
Source
Griffith, D., Paelinck, J.H.P. (2011). Non-Standard Spatial Statistics. Springer, New York.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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