misc/SpTron_ModActGrid.R
In cesco-lab/Vigie-Chiro_scripts: Predict Distribution Of Chiropter
library(data.table)
#library(rgdal)
library(raster)
#library(sp)
#library(ggplot2)
#library(MASS)
library(rgeos)
library(latticeExtra)
library(glmmTMB)
#pour afficher les milisecondes
op <- options(digits.secs=3)
args="DataRP_SpTronSeuil90"
TriDirectUniquement=T
#Un premier modèle avec une sélection de variable à la mano
#liste variables d'interêt (sélection arbitraire)
ListVar=c("n_CLC_23","n_CLC_122","n_CLC_311","n_CLC_112","n_CLC_312","norm_PP","nrm_DtA","n_CLC_242","norm_PC","n_CLC_141","n_CLC_323","norm_Lm","n_CLC_221","n_CLC_411","n_CLC_313","n_CLC_243","n_CLC_211","n_CLC_241")
#recupération des données chiros
DataCPL3=fread(paste0(args,".csv"))
#recup gridSIG
Sys.time()
gridSIG=shapefile("gridSIG.shp")
Sys.time()
#France_departement
FranceD= shapefile("C:/Users/Yves Bas/Documents/SIG/Limite_administrative/France_dep_L93.shp")
Sys.time()
#récupération des données participation
Particip=fread("C:/wamp64/www/p_export.txt",encoding="UTF-8")
#récupération des localités
SiteLoc=fread("C:/wamp64/www/sites_localites.txt")
#formattage de la grille pour la prédiction
gridSIG$Coord=numFactor(gridSIG$crds_x1,gridSIG$crds_x2)
gridSIG$FauxGroupe=rep(1,nrow(gridSIG))
SpTron=DataCPL3
SpTron=subset(SpTron,(SpTron$temps_enr<600)&
(SpTron$temps_enr>200))
SpTronP=merge(SpTron,Particip,by="participation")
SpTronP$Expansion=(((SpTronP$num_micro)
&(SpTronP$canal_expansion_temps=="DROITE"))
|((SpTronP$num_micro==F)
&(SpTronP$canal_expansion_temps=="GAUCHE")))
SpTronP$Direct=(((SpTronP$num_micro)
&(SpTronP$canal_enregistrement_direct=="DROITE"))
|((SpTronP$num_micro==F)
&(SpTronP$canal_enregistrement_direct=="GAUCHE")))
#CanalBug=subset(SpTronP,(Expansion&Direct))
test=subset(SpTron,SpTron$espece=="Nycnoc")
plot(test$temps_enr,test$nb_contacts,log="y")
Prot=substr(SpTronP$site,1,21)
SpTronP$Prot=Prot
SpTronRE=subset(SpTronP,(Prot=="Vigie-chiro - Routier")&(Expansion))
SpTronRD=subset(SpTronP,(Prot=="Vigie-chiro - Routier")&(Direct))
SpTronPE=subset(SpTronP,(Prot=="Vigiechiro - Pédestre")&(Expansion))
SpTronPD=subset(SpTronP,(Prot=="Vigiechiro - Pédestre")&(Direct))
if(TriDirectUniquement)
{
SpTronP=subset(SpTronP,SpTronP$Direct)
}
SpTronP$Tron=as.factor(SpTronP$Tron)
ListSp=levels(as.factor(DataCPL3$espece))
#SiteLoc
#PourTron=tstrsplit(SiteLoc$nom," ")
SiteLoc$Tron=sapply(SiteLoc$nom
,FUN=function(x) if(substr(x,1,1)=="T"){tstrsplit(x," ")[[2]]}else{x})
SiteLocU=unique(SiteLoc,by=c("site","Tron"))
SiteLocU=subset(SiteLocU,SiteLocU$protocole!="POINT_FIXE")
PSL=merge(Particip,SiteLocU,by="site",allow.cartesian=TRUE)
PSL=subset(PSL,PSL$protocole!="POINT_FIXE")
PSL_R=subset(PSL,PSL$protocole=="ROUTIER")
CoordPar=aggregate(PSL_R$participation
,by=c(list(PSL_R$longitude),list(PSL_R$latitude),list(PSL_R$participation),list(PSL_R$Tron))
,FUN=length)
FranceWGS84=spTransform(FranceD,CRS(proj4string(CoordPar)))
#FranceWGS84 <- SpatialPolygons(list(Polygons(list(Polygon(FranceWGS84)), 1)))
testP=match(SpTronP$participation,CoordPar$Group.3)
SpTronP_P=subset(SpTronP,is.na(testP))
SpTronP_R=subset(SpTronP,is.na(testP)==F)
#liste des coordonnées existantes dans ce jeu de données
coordinates(CoordPar) <- c("Group.1", "Group.2")
proj4string(CoordPar) <- CRS("+init=epsg:4326") # WGS 84
CRS.new <- CRS(proj4string(gridSIG))
CoordL93=spTransform(CoordPar,CRS.new)
CoordSIG=intersect(CoordL93,gridSIG)
PartSIG=as.data.frame(CoordSIG)
#spplot(CoordSIG,zcol="norm_Lm")
for (i in 1:length(ListSp))
{
DataSp=subset(SpTronP_R,SpTronP_R$espece==ListSp[i])
DataSpSL=merge(DataSp,CoordPar,by.x=c("participation","Tron"),by.y=c("Group.3","Group.4"))
NbReplicatsSpatiaux=nlevels(as.factor(paste(DataSpSL$Group.1,DataSpSL$Group.2)))
print(paste(ListSp[i],nrow(DataSp),Sys.time()))
#subset des données correspondant à l'espèce i
DataSpSL_w0=merge(DataSp,PartSIG,by.x=c("participation","Tron"),by.y=c("Group.3","Group.4"),all.y=T)
DataSpSL_w0$nb_contacts[is.na(DataSpSL_w0$nb_contacts)]=0
DataSIG=DataSpSL_w0
if(sum(DataSIG$nb_contacts)>0)
{
DataSPos=subset(DataSIG,DataSIG$nb_contacts>0)
NbReplicatsSpatiaux=nlevels(as.factor(as.character(DataSPos$Coord)))
#Un premier modèle avec une sélection de variable à la mano
#liste variables d'interêt (sélection arbitraire)
if(NbReplicatsSpatiaux>10)
{
NbVar=floor(NbReplicatsSpatiaux/10)
FormulaTot=paste0("nb_contacts~1")
if(NbVar>0){
for (h in 1:min(NbVar,length(ListVar)))
{
FormulaTot=paste0(FormulaTot,"+",ListVar[h])
}
}
#ajout du terme spatial
DataSIG$FauxGroupe=rep(1,nrow(DataSIG))
DataSIG$Coord=numFactor(DataSIG$crds_x1,DataSIG$crds_x2)
FormulaTot=paste(FormulaTot,"+exp(Coord+0|FauxGroupe)")
#print(FormulaTot)
FormulaTot=as.formula(FormulaTot)
#print(FormulaTot)
#test=DataSIG[1:300,]
Sys.time()
Mod1=glmmTMB(FormulaTot,data=DataSIG,ziformula=~1,family="nbinom2") # 2 min
Sys.time()
save("Mod1",file=paste0(ListSp[i],"_",args,"_Mod1_Routier.RData"))
Sys.time()
Pred1=predict(Mod1,newdata=gridSIG,allow.new.levels=TRUE) # 1 min
#Pred1=predict(Mod1,newdata=gridSIG,allow.new.levels=TRUE,se.fit=T) # 1 min
Sys.time()
#polys = as(gridSIG, "SpatialPolygons")
PredLog=log(Pred1+1,10)
gridSIG=cbind(gridSIG,PredLog)
nameGraph=paste0(ListSp[i],"_logActivite_predite_R")
names(gridSIG)[ncol(gridSIG)]=nameGraph
ScaleAt=c(0:50)/49*max(PredLog)
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
png(paste0(nameGraph,"_",args,".png"))
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
dev.off()
win.metafile(paste0(nameGraph,"_",args,".wmf"))
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
dev.off()
}
} }
PSL_P=subset(PSL,PSL$protocole=="CARRE")
CoordPar=aggregate(PSL_P$participation
,by=c(list(PSL_P$longitude),list(PSL_P$latitude),list(PSL_P$participation),list(PSL_P$Tron))
,FUN=length)
#liste des coordonnées existantes dans ce jeu de données
coordinates(CoordPar) <- c("Group.1", "Group.2")
proj4string(CoordPar) <- CRS("+init=epsg:4326") # WGS 84
CRS.new <- CRS(proj4string(gridSIG))
CoordL93=spTransform(CoordPar,CRS.new)
CoordSIG=intersect(CoordL93,gridSIG)
PartSIG=as.data.frame(CoordSIG)
for (i in 1:length(ListSp))
{
DataSp=subset(SpTronP_P,SpTronP_P$espece==ListSp[i])
DataSpSL=merge(DataSp,CoordPar,by.x=c("participation","Tron"),by.y=c("Group.3","Group.4"))
NbReplicatsSpatiaux=nlevels(as.factor(paste(DataSpSL$Group.1,DataSpSL$Group.2)))
print(paste(ListSp[i],nrow(DataSp),Sys.time()))
#subset des données correspondant à l'espèce i
DataSpSL_w0=merge(DataSp,PartSIG,by.x=c("participation","Tron"),by.y=c("Group.3","Group.4"),all.y=T)
DataSpSL_w0$nb_contacts[is.na(DataSpSL_w0$nb_contacts)]=0
DataSIG=DataSpSL_w0
if(sum(DataSIG$nb_contacts)>0)
{
DataSPos=subset(DataSIG,DataSIG$nb_contacts>0)
NbReplicatsSpatiaux=nlevels(as.factor(as.character(DataSPos$Coord)))
#Un premier modèle avec une sélection de variable à la mano
#liste variables d'interêt (sélection arbitraire)
if(NbReplicatsSpatiaux>5)
{
NbVar=floor(NbReplicatsSpatiaux/10)
FormulaTot=paste0("nb_contacts~1")
if(NbVar>0){
for (h in 1:min(NbVar,length(ListVar)))
{
FormulaTot=paste0(FormulaTot,"+",ListVar[h])
}
}
#ajout du terme spatial
DataSIG$FauxGroupe=rep(1,nrow(DataSIG))
DataSIG$Coord=numFactor(DataSIG$crds_x1,DataSIG$crds_x2)
FormulaTot=paste(FormulaTot,"+exp(Coord+0|FauxGroupe)")
#print(FormulaTot)
FormulaTot=as.formula(FormulaTot)
#print(FormulaTot)
#test=DataSIG[1:300,]
Sys.time()
Mod1=glmmTMB(FormulaTot,data=DataSIG,ziformula=~1,family="nbinom2") # 2 min
Sys.time()
save("Mod1",file=paste0(ListSp[i],"_",args,"_Mod1_Pedestre.RData"))
Sys.time()
Pred1=predict(Mod1,newdata=gridSIG,allow.new.levels=TRUE) # 1 min
#Pred1=predict(Mod1,newdata=gridSIG,allow.new.levels=TRUE,se.fit=T) # 1 min
Sys.time()
#polys = as(gridSIG, "SpatialPolygons")
PredLog=log(Pred1+1,10)
gridSIG=cbind(gridSIG,PredLog)
nameGraph=paste0(ListSp[i],"_logActivite_predite_P")
names(gridSIG)[ncol(gridSIG)]=nameGraph
ScaleAt=c(0:50)/49*max(PredLog)
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
png(paste0(nameGraph,"_",args,".png"))
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
dev.off()
win.metafile(paste0(nameGraph,"_",args,".wmf"))
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
dev.off()
}
}
}
#spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
# list(axis.line = list(col = 'transparent')),col=NA
# ,sp.layout=c(list(FranceWGS84),first=T))
fwrite(as.data.table(gridSIG),paste0("gridSIG_",args,".csv"))
cesco-lab/Vigie-Chiro_scripts documentation built on April 4, 2024, 4:27 a.m.
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library(data.table)
#library(rgdal)
library(raster)
#library(sp)
#library(ggplot2)
#library(MASS)
library(rgeos)
library(latticeExtra)
library(glmmTMB)
#pour afficher les milisecondes
op <- options(digits.secs=3)
args="DataRP_SpTronSeuil90"
TriDirectUniquement=T
#Un premier modèle avec une sélection de variable à la mano
#liste variables d'interêt (sélection arbitraire)
ListVar=c("n_CLC_23","n_CLC_122","n_CLC_311","n_CLC_112","n_CLC_312","norm_PP","nrm_DtA","n_CLC_242","norm_PC","n_CLC_141","n_CLC_323","norm_Lm","n_CLC_221","n_CLC_411","n_CLC_313","n_CLC_243","n_CLC_211","n_CLC_241")
#recupération des données chiros
DataCPL3=fread(paste0(args,".csv"))
#recup gridSIG
Sys.time()
gridSIG=shapefile("gridSIG.shp")
Sys.time()
#France_departement
FranceD= shapefile("C:/Users/Yves Bas/Documents/SIG/Limite_administrative/France_dep_L93.shp")
Sys.time()
#récupération des données participation
Particip=fread("C:/wamp64/www/p_export.txt",encoding="UTF-8")
#récupération des localités
SiteLoc=fread("C:/wamp64/www/sites_localites.txt")
#formattage de la grille pour la prédiction
gridSIG$Coord=numFactor(gridSIG$crds_x1,gridSIG$crds_x2)
gridSIG$FauxGroupe=rep(1,nrow(gridSIG))
SpTron=DataCPL3
SpTron=subset(SpTron,(SpTron$temps_enr<600)&
(SpTron$temps_enr>200))
SpTronP=merge(SpTron,Particip,by="participation")
SpTronP$Expansion=(((SpTronP$num_micro)
&(SpTronP$canal_expansion_temps=="DROITE"))
|((SpTronP$num_micro==F)
&(SpTronP$canal_expansion_temps=="GAUCHE")))
SpTronP$Direct=(((SpTronP$num_micro)
&(SpTronP$canal_enregistrement_direct=="DROITE"))
|((SpTronP$num_micro==F)
&(SpTronP$canal_enregistrement_direct=="GAUCHE")))
#CanalBug=subset(SpTronP,(Expansion&Direct))
test=subset(SpTron,SpTron$espece=="Nycnoc")
plot(test$temps_enr,test$nb_contacts,log="y")
Prot=substr(SpTronP$site,1,21)
SpTronP$Prot=Prot
SpTronRE=subset(SpTronP,(Prot=="Vigie-chiro - Routier")&(Expansion))
SpTronRD=subset(SpTronP,(Prot=="Vigie-chiro - Routier")&(Direct))
SpTronPE=subset(SpTronP,(Prot=="Vigiechiro - Pédestre")&(Expansion))
SpTronPD=subset(SpTronP,(Prot=="Vigiechiro - Pédestre")&(Direct))
if(TriDirectUniquement)
{
SpTronP=subset(SpTronP,SpTronP$Direct)
}
SpTronP$Tron=as.factor(SpTronP$Tron)
ListSp=levels(as.factor(DataCPL3$espece))
#SiteLoc
#PourTron=tstrsplit(SiteLoc$nom," ")
SiteLoc$Tron=sapply(SiteLoc$nom
,FUN=function(x) if(substr(x,1,1)=="T"){tstrsplit(x," ")[[2]]}else{x})
SiteLocU=unique(SiteLoc,by=c("site","Tron"))
SiteLocU=subset(SiteLocU,SiteLocU$protocole!="POINT_FIXE")
PSL=merge(Particip,SiteLocU,by="site",allow.cartesian=TRUE)
PSL=subset(PSL,PSL$protocole!="POINT_FIXE")
PSL_R=subset(PSL,PSL$protocole=="ROUTIER")
CoordPar=aggregate(PSL_R$participation
,by=c(list(PSL_R$longitude),list(PSL_R$latitude),list(PSL_R$participation),list(PSL_R$Tron))
,FUN=length)
FranceWGS84=spTransform(FranceD,CRS(proj4string(CoordPar)))
#FranceWGS84 <- SpatialPolygons(list(Polygons(list(Polygon(FranceWGS84)), 1)))
testP=match(SpTronP$participation,CoordPar$Group.3)
SpTronP_P=subset(SpTronP,is.na(testP))
SpTronP_R=subset(SpTronP,is.na(testP)==F)
#liste des coordonnées existantes dans ce jeu de données
coordinates(CoordPar) <- c("Group.1", "Group.2")
proj4string(CoordPar) <- CRS("+init=epsg:4326") # WGS 84
CRS.new <- CRS(proj4string(gridSIG))
CoordL93=spTransform(CoordPar,CRS.new)
CoordSIG=intersect(CoordL93,gridSIG)
PartSIG=as.data.frame(CoordSIG)
#spplot(CoordSIG,zcol="norm_Lm")
for (i in 1:length(ListSp))
{
DataSp=subset(SpTronP_R,SpTronP_R$espece==ListSp[i])
DataSpSL=merge(DataSp,CoordPar,by.x=c("participation","Tron"),by.y=c("Group.3","Group.4"))
NbReplicatsSpatiaux=nlevels(as.factor(paste(DataSpSL$Group.1,DataSpSL$Group.2)))
print(paste(ListSp[i],nrow(DataSp),Sys.time()))
#subset des données correspondant à l'espèce i
DataSpSL_w0=merge(DataSp,PartSIG,by.x=c("participation","Tron"),by.y=c("Group.3","Group.4"),all.y=T)
DataSpSL_w0$nb_contacts[is.na(DataSpSL_w0$nb_contacts)]=0
DataSIG=DataSpSL_w0
if(sum(DataSIG$nb_contacts)>0)
{
DataSPos=subset(DataSIG,DataSIG$nb_contacts>0)
NbReplicatsSpatiaux=nlevels(as.factor(as.character(DataSPos$Coord)))
#Un premier modèle avec une sélection de variable à la mano
#liste variables d'interêt (sélection arbitraire)
if(NbReplicatsSpatiaux>10)
{
NbVar=floor(NbReplicatsSpatiaux/10)
FormulaTot=paste0("nb_contacts~1")
if(NbVar>0){
for (h in 1:min(NbVar,length(ListVar)))
{
FormulaTot=paste0(FormulaTot,"+",ListVar[h])
}
}
#ajout du terme spatial
DataSIG$FauxGroupe=rep(1,nrow(DataSIG))
DataSIG$Coord=numFactor(DataSIG$crds_x1,DataSIG$crds_x2)
FormulaTot=paste(FormulaTot,"+exp(Coord+0|FauxGroupe)")
#print(FormulaTot)
FormulaTot=as.formula(FormulaTot)
#print(FormulaTot)
#test=DataSIG[1:300,]
Sys.time()
Mod1=glmmTMB(FormulaTot,data=DataSIG,ziformula=~1,family="nbinom2") # 2 min
Sys.time()
save("Mod1",file=paste0(ListSp[i],"_",args,"_Mod1_Routier.RData"))
Sys.time()
Pred1=predict(Mod1,newdata=gridSIG,allow.new.levels=TRUE) # 1 min
#Pred1=predict(Mod1,newdata=gridSIG,allow.new.levels=TRUE,se.fit=T) # 1 min
Sys.time()
#polys = as(gridSIG, "SpatialPolygons")
PredLog=log(Pred1+1,10)
gridSIG=cbind(gridSIG,PredLog)
nameGraph=paste0(ListSp[i],"_logActivite_predite_R")
names(gridSIG)[ncol(gridSIG)]=nameGraph
ScaleAt=c(0:50)/49*max(PredLog)
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
png(paste0(nameGraph,"_",args,".png"))
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
dev.off()
win.metafile(paste0(nameGraph,"_",args,".wmf"))
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
dev.off()
}
} }
PSL_P=subset(PSL,PSL$protocole=="CARRE")
CoordPar=aggregate(PSL_P$participation
,by=c(list(PSL_P$longitude),list(PSL_P$latitude),list(PSL_P$participation),list(PSL_P$Tron))
,FUN=length)
#liste des coordonnées existantes dans ce jeu de données
coordinates(CoordPar) <- c("Group.1", "Group.2")
proj4string(CoordPar) <- CRS("+init=epsg:4326") # WGS 84
CRS.new <- CRS(proj4string(gridSIG))
CoordL93=spTransform(CoordPar,CRS.new)
CoordSIG=intersect(CoordL93,gridSIG)
PartSIG=as.data.frame(CoordSIG)
for (i in 1:length(ListSp))
{
DataSp=subset(SpTronP_P,SpTronP_P$espece==ListSp[i])
DataSpSL=merge(DataSp,CoordPar,by.x=c("participation","Tron"),by.y=c("Group.3","Group.4"))
NbReplicatsSpatiaux=nlevels(as.factor(paste(DataSpSL$Group.1,DataSpSL$Group.2)))
print(paste(ListSp[i],nrow(DataSp),Sys.time()))
#subset des données correspondant à l'espèce i
DataSpSL_w0=merge(DataSp,PartSIG,by.x=c("participation","Tron"),by.y=c("Group.3","Group.4"),all.y=T)
DataSpSL_w0$nb_contacts[is.na(DataSpSL_w0$nb_contacts)]=0
DataSIG=DataSpSL_w0
if(sum(DataSIG$nb_contacts)>0)
{
DataSPos=subset(DataSIG,DataSIG$nb_contacts>0)
NbReplicatsSpatiaux=nlevels(as.factor(as.character(DataSPos$Coord)))
#Un premier modèle avec une sélection de variable à la mano
#liste variables d'interêt (sélection arbitraire)
if(NbReplicatsSpatiaux>5)
{
NbVar=floor(NbReplicatsSpatiaux/10)
FormulaTot=paste0("nb_contacts~1")
if(NbVar>0){
for (h in 1:min(NbVar,length(ListVar)))
{
FormulaTot=paste0(FormulaTot,"+",ListVar[h])
}
}
#ajout du terme spatial
DataSIG$FauxGroupe=rep(1,nrow(DataSIG))
DataSIG$Coord=numFactor(DataSIG$crds_x1,DataSIG$crds_x2)
FormulaTot=paste(FormulaTot,"+exp(Coord+0|FauxGroupe)")
#print(FormulaTot)
FormulaTot=as.formula(FormulaTot)
#print(FormulaTot)
#test=DataSIG[1:300,]
Sys.time()
Mod1=glmmTMB(FormulaTot,data=DataSIG,ziformula=~1,family="nbinom2") # 2 min
Sys.time()
save("Mod1",file=paste0(ListSp[i],"_",args,"_Mod1_Pedestre.RData"))
Sys.time()
Pred1=predict(Mod1,newdata=gridSIG,allow.new.levels=TRUE) # 1 min
#Pred1=predict(Mod1,newdata=gridSIG,allow.new.levels=TRUE,se.fit=T) # 1 min
Sys.time()
#polys = as(gridSIG, "SpatialPolygons")
PredLog=log(Pred1+1,10)
gridSIG=cbind(gridSIG,PredLog)
nameGraph=paste0(ListSp[i],"_logActivite_predite_P")
names(gridSIG)[ncol(gridSIG)]=nameGraph
ScaleAt=c(0:50)/49*max(PredLog)
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
png(paste0(nameGraph,"_",args,".png"))
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
dev.off()
win.metafile(paste0(nameGraph,"_",args,".wmf"))
print(spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
list(axis.line = list(col = 'transparent'))
,col.regions=get_col_regions(),at=ScaleAt))
dev.off()
}
}
}
#spplot(gridSIG,zcol=nameGraph,main=nameGraph,par.settings =
# list(axis.line = list(col = 'transparent')),col=NA
# ,sp.layout=c(list(FranceWGS84),first=T))
fwrite(as.data.table(gridSIG),paste0("gridSIG_",args,".csv"))
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