# popsize/R/popsize.R In armelsoubeiga/Packages: Estimation de la taille de population

```#' @title Estimation de la taille de population
#' @description Prend en parametres des coordonn??es g??ographique et retour la taille de population ?? ce lieudit
#' @return la taille de population
#' @param Y0
#' @param X0
#' @export
#'
#'
estimation <- function(X0,Y0)
{

data(MyData)
pop <- base[,17]
#matrice de distance
cords<-base[c("POINT_X","POINT_Y")]
S0<-c(X0,Y0)
cords<-as.matrix(rbind(S0,cords))
dist <- as.matrix(dist(cords))

#Fonction S3
MatrixCor<- function(x,pa,ep, maybe = "some", other = "arguments", ...) {
UseMethod("MatrixCor")
}

MatrixCor.matrix<-function(x,pa,ep)
{
po=mean(x)

for( i in 1:length(x)){

dist1 <- x

if(dist1[i]==0){
dist1[i]=0
}

else if(dist1[i] > 0 & dist1[i] <= po){
dist1[i]= ep+(pa-ep)*(1.5*(dist1[i]/po)-0.5*(dist1[i]/po)^3)
}

else if(dist1[i]> po){}
dist1[i]=pa
}
return(dist1)
}
pa=4593.973
ep=2267.514
#covariance
dist2=MatrixCor(dist,pa,ep)
for( i in 1:length(dist2))
dist2[i]<- (pa-dist2[i])

#calcul des coeficient (K*coef=k0)
#K
K1<- dist2[-1,-1]
K2<- cbind(K1,1)
v1<-rep(1,length(K1[,1]))
v2<-c(v1,0)
K<-rbind(K2,v2)

#k0
kk<-dist2[1,]
k0<-c(kk[-1],1)

#coef
coef<-k0%*%solve(K)
coefs<-coef[-length(coef)]
Z0<-sum(coefs%*%pop)

#resultat
return(Z0)
}
```
armelsoubeiga/Packages documentation built on May 15, 2018, 2:10 p.m.