GeoNA function

Deleting NA values (missing values) from a spatial or spatio-temporal dataset.

The function deletes NA values from a spatial or spatio-temporal dataset UTF-8

GeoNA(data, coordx, coordy=NULL,coordz=NULL, coordt=NULL,
coordx_dyn=NULL, grid=FALSE, X=NULL, setting="spatial")

Arguments

• data: A $d$-dimensional vector (a single spatial realisation) or a ($d x d$)-matrix (a single spatial realisation on regular grid) or a ($t x d$)-matrix (a single spatial-temporal realisation) or an ($d x d x t$)-array (a single spatial-temporal realisation on regular grid) giving the data.

• coordx: A numeric ($d x 2$)-matrix or ($d x 3$)-matrix Coordinates on a sphere for a fixed radius radius

  are passed in lon/lat format expressed in decimal degrees.

• coordy: A numeric vector giving 1-dimension of spatial coordinates; Optional argument, the default is NULL.

• coordz: A numeric vector giving 1-dimension of spatial coordinates; Optional argument, the default is NULL.

• coordt: A numeric vector giving 1-dimension of temporal coordinates; the default is NULL

  then a spatial random field is expected.

• coordx_dyn: A list of $m$ numeric ($d x 2$)-matrices containing dynamical (in time) spatial coordinates. Optional argument, the default is NULL

• grid: Logical; if FALSE (the default) the data are interpreted as spatial or spatial-temporal realisations on a set of non-equispaced spatial sites (irregular grid).

• X: Numeric; Matrix of spatio(temporal) covariates in the linear mean specification.

• setting: String; are data spatial, spatio-temporal or spatial bivariate (respectively spatial, spacetime, bivariate)

Returns

Returns a list containing the following components: - coordx: A $d$-dimensional vector of spatial coordinates;

• coordy: A $d$-dimensional vector of spatial coordinates;

• coordt: A $t$-dimensional vector of temporal coordinates;

• data: The data without NAvalues

• grid: TRUE if the spatial data are observed in a regular grid, otherwise FALSE;

• 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