grid2D: Generate longitude and latitude grid matrices
In HiClimR: Hierarchical Climate Regionalization

Description Usage Arguments Details Value Author(s) References See Also Examples

grid2D is a helper function that generates longitude and latitude rectangular mesh from short longitude and latitude vectors in gridded data.

1	grid2D(lon = lon, lat = lat)

`lon`	a vector of longitudes with length `N`. Longitudes takes values from `-180` to `180` (not `0` to `360`). For gridded data, the length may have the value (`n`) provided that `n * m = N` where `n = length(unique(lon))` and `m = length(unique(lat))`.
`lat`	a vector of latitudes with length `N` or `m`. See `lon`.

grid2D function convert the long latitude and longitude vectors to a rectangular two-dimensional grid for visualization and geographic masking purposes for gridded data in HiClimR package.

A list with the following components:

`lon`	an (`n` rows by `m` columns) matrix of 'double' values for longitude mesh grid, or a vector with length `n * m`.
`lat`	an (`n` rows by `m` columns) matrix of 'double' values for latitude mesh grid, or a vector with length `n * m`.

Hamada S. Badr <badr@jhu.edu>, Benjamin F. Zaitchik <zaitchik@jhu.edu>, and Amin K. Dezfuli <amin.dezfuli@nasa.gov>.

Hamada S. Badr, Zaitchik, B. F. and Dezfuli, A. K. (2015): A Tool for Hierarchical Climate Regionalization, Earth Science Informatics, 8(4), 949-958, doi: 10.1007/s12145-015-0221-7.

Hamada S. Badr, Zaitchik, B. F. and Dezfuli, A. K. (2014): Hierarchical Climate Regionalization, Comprehensive R Archive Network (CRAN), https://cran.r-project.org/package=HiClimR.

HiClimR, HiClimR2nc, validClimR, geogMask, coarseR, fastCor, grid2D and minSigCor.

require(HiClimR)

## Load test case data
x <- TestCase$x

## Generate longitude and latitude mesh vectors
xGrid <- grid2D(lon = unique(TestCase$lon), lat = unique(TestCase$lat))
lon <- c(xGrid$lon)
lat <- c(xGrid$lat)