GeoNA {GeoModels} | R Documentation |
Deleting NA values (missing values) from a spatial or spatio-temporal dataset.
Description
The function deletes NA values from a spatial or spatio-temporal dataset
Usage
GeoNA(data, coordx, coordy=NULL, coordt=NULL,
coordx_dyn=NULL, grid=FALSE, X=NULL, setting="spatial")
Arguments
data |
A |
coordx |
A numeric ( |
coordy |
A numeric vector giving 1-dimension of
spatial coordinates ; |
coordt |
A numeric vector giving 1-dimension of
temporal coordinates; the default is |
coordx_dyn |
A list of |
grid |
Logical; if |
X |
Numeric; Matrix of spatio(temporal) covariates in the linear mean specification. |
setting |
String; are data spatial, spatio-temporal or spatial bivariate
(respectively |
Value
Returns a list containing the following components:
coordx |
A |
coordy |
A |
coordt |
A |
data |
The data without NAvalues |
grid |
|
perc |
The percentage of NA values . |
setting |
Are data of spatial or spatio-temporal or spatial bivariate type |
X |
Covariates matrix |
Author(s)
Moreno Bevilacqua, moreno.bevilacqua89@gmail.com,https://sites.google.com/view/moreno-bevilacqua/home, Víctor Morales Oñate, victor.morales@uv.cl, https://sites.google.com/site/moralesonatevictor/, Christian", Caamaño-Carrillo, chcaaman@ubiobio.cl,https://www.researchgate.net/profile/Christian-Caamano
Examples
library(GeoModels)
# Define the spatial-coordinates of the points:
set.seed(79)
x = runif(200, 0, 1)
y = runif(200, 0, 1)
coords=cbind(x,y)
# Set the exponential cov parameters:
corrmodel = "Matern"
mean=0
sill=1
nugget=0
scale=0.3/3
smooth=0.5
param=list(mean=mean,sill=sill,nugget=nugget,scale=scale,smooth=smooth)
# Simulation of the spatial Gaussian random field:
data = GeoSim(coordx=coords, corrmodel=corrmodel,
param=param)$data
data[1:100]=NA
# removing NA
a=GeoNA(data,coordx=coords)
a$perc # percentage of NA values
#a$coordx# spatial coordinates without missing values
#a$data # data without missinng values