RDW: Radial Distance Weighting interpolation

In rrodrigojrr/ADW: A toolbox for spatial interpolation of meteorogical data

Description

Apply the Radial Distance Weighting interpolation method on the irregular points of meteorological observations to a regular grid.

Usage

RDW(xy, z, xrange, yrange, res = 0.5, n.station = 5, p = 1,
  r = 100)

Arguments

xy	A matrix (N,2) with longitude and latitude of points of data observed
z	A vector (N) with the values observeds in the points
xrange	A vector with extremes longitudes of grid eg: c(-45,-35)
yrange	A vector with extremes latitudes of grid. eg: c(-1,-5)
res	The resolution of grid in degree
n.station	Number of stations used per point for interpolation. The default is 8.
p	Power parameter. The default is 1.
r	radius (in degree) for interpolation. The default ins 100

Value

A data.frame with longitude, latitude and interpoled points

Author(s)

Rodrigo Lins R. Jr., Fabricio Daniel S. S.

Examples

data(TempBrazil) # Temperature for some poins of Brazil

LonLat=TempBrazil[,1:2] #Data.frame with Longtude and Latitude
Temp=TempBrazil[,3] # Vector with observations in points

LonInterval=c(-78,-34.10)  # Coordinates of extremes poins of longitude to grid
LatInterval=c(-36,5)  # Coordinates of extremes poins of latitude to grid

Interpoled=RDW(xy=LonLat,z=Temp,xrange = LonInterval,yrange = LatInterval)

rrodrigojrr/ADW documentation built on Sept. 4, 2020, 8:12 a.m.