prediction_grid: Regular grid points in the mainland United States at 1km...
In chopin: Spatial Parallel Computing by Hierarchical Data Partitioning
prediction_grid R Documentation
Regular grid points in the mainland United States at 1km spatial resolution
Description
Regular grid points in the mainland United States at 1km spatial resolution
Usage
prediction_grid
Format
A data frame with 8,092,995 rows and three variables:
- site_id
Unique point identifier. Arbitrarily generated.
- lon
Longitude
- lat
Latitude
Note
Coordinates are in EPSG:5070 (Conus Albers Equal Area)
Source
Mainland United States polygon was obtained from
the US Census Bureau.
See Also
Other Dataset:
ncpoints
Examples
data("prediction_grid", package = "chopin")
chopin documentation built on Sept. 10, 2025, 5:08 p.m.
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| prediction_grid | R Documentation |
Regular grid points in the mainland United States at 1km spatial resolution
Description
Regular grid points in the mainland United States at 1km spatial resolution
Usage
prediction_grid
Format
A data frame with 8,092,995 rows and three variables:
- site_id
Unique point identifier. Arbitrarily generated.
- lon
Longitude
- lat
Latitude
Note
Coordinates are in EPSG:5070 (Conus Albers Equal Area)
Source
Mainland United States polygon was obtained from the US Census Bureau.
See Also
Other Dataset:
ncpoints
Examples
data("prediction_grid", package = "chopin")
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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