BIOMOD2: error message: Error in .local(sp, env, …) : object 'mask.tmp' not found The Next CEO of Stack OverflowBIOMOD Error message: argument of length 0R: data.frame to raster object errorNAs not allowed error message in attempt to plot raster object in RLayer not found in PostGIS db when it is listed by OgrInfogstat's krige.cv() error: “Error: dimensions do not match:”Error: identicalCRS(x, y) is not TRUEreadOGR: all features NULLwriteRaster: Error in .local(.Object, …) : Unable to create datasettest.W ade4 package FUNCTION NOT FOUNDWarning message in raster::rotate(): “this does not look like an appropriate object for this function”
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BIOMOD2: error message: Error in .local(sp, env, …) : object 'mask.tmp' not found
The Next CEO of Stack OverflowBIOMOD Error message: argument of length 0R: data.frame to raster object errorNAs not allowed error message in attempt to plot raster object in RLayer not found in PostGIS db when it is listed by OgrInfogstat's krige.cv() error: “Error: dimensions do not match:”Error: identicalCRS(x, y) is not TRUEreadOGR: all features NULLwriteRaster: Error in .local(.Object, …) : Unable to create datasettest.W ade4 package FUNCTION NOT FOUNDWarning message in raster::rotate(): “this does not look like an appropriate object for this function”
I am trying to model a plant species (composed by 298 occurrences) with BIOMOD2 using the consensus landcover as explanatory variables. However, R shows me an error message during the formatting of input data that I do not understand at all:
Error in .local(sp, env, ...) : object 'mask.tmp' not found
I have a feeling that the problem is related to the training area or something similar, because If I run the analysis in other study areas (with the same explanatory variables, but changing the occurrences and the training area), the code works perfectly!
Could someone help me in fixing this error and understanding where it is coming from?
The following code is an example of my used code:
#Loading libraries
library(biomod2)
library(raster)
library(rgdal)
#Loading occurrences
sic.occ.EUR<- as.data.frame(readOGR(dsn = "C:\Users\Invader\Desktop\minba1", layer = "occ_JAP"))
sic.occ.EUR <- sic.occ.EUR[,c(4,5)]
sic.occ.EUR$Sycios <- 1
names(sic.occ.EUR) <- c("X_WGS84","Y_WGS84","Sycios")
#Loading explanatory variables
Tbio <- raster("C:\Users\Invader\Desktop\minba1\ consensus_full_class_4_crop.tif")
Pbio <- raster("C:\Users\Invader\Desktop\minba1\ consensus_full_class_7_crop.tif")
myExpl.EUR <- stack(Tbio,Pbio)
myRespName.EUR <- "Sycios"
myExpl.proj.EUR <- stack(Tbio,Pbio)
final.EUR.myResp <- as.numeric(sic.occ.EUR[,myRespName.EUR])
myRespXY.EUR <- sic.occ.EUR[,c("X_WGS84","Y_WGS84")]
#Formating input data
myBioData.EUR <- BIOMOD_FormatingData(resp.var=final.EUR.myResp,
expl.var=myExpl.EUR,
resp.xy=myRespXY.EUR,
resp.name=myRespName.EUR,
PA.nb.rep = 5,
PA.nb.absences = 10000,
PA.strategy ='random',
PA.dist.min = NULL,
PA.dist.max = NULL,
PA.sre.quant = 0.025,
PA.table = NULL,
na.rm = TRUE)
r spatial-statistics habitat-modeling
edited yesterday
PolyGeo♦
53.8k1781245
asked yesterday
Alejandro López NúñezAlejandro López Núñez
61
add a comment |
I am trying to model a plant species (composed by 298 occurrences) with BIOMOD2 using the consensus landcover as explanatory variables. However, R shows me an error message during the formatting of input data that I do not understand at all:
Error in .local(sp, env, ...) : object 'mask.tmp' not found
I have a feeling that the problem is related to the training area or something similar, because If I run the analysis in other study areas (with the same explanatory variables, but changing the occurrences and the training area), the code works perfectly!
Could someone help me in fixing this error and understanding where it is coming from?
The following code is an example of my used code:
#Loading libraries
library(biomod2)
library(raster)
library(rgdal)
#Loading occurrences
sic.occ.EUR<- as.data.frame(readOGR(dsn = "C:\Users\Invader\Desktop\minba1", layer = "occ_JAP"))
sic.occ.EUR <- sic.occ.EUR[,c(4,5)]
sic.occ.EUR$Sycios <- 1
names(sic.occ.EUR) <- c("X_WGS84","Y_WGS84","Sycios")
#Loading explanatory variables
Tbio <- raster("C:\Users\Invader\Desktop\minba1\ consensus_full_class_4_crop.tif")
Pbio <- raster("C:\Users\Invader\Desktop\minba1\ consensus_full_class_7_crop.tif")
myExpl.EUR <- stack(Tbio,Pbio)
myRespName.EUR <- "Sycios"
myExpl.proj.EUR <- stack(Tbio,Pbio)
final.EUR.myResp <- as.numeric(sic.occ.EUR[,myRespName.EUR])
myRespXY.EUR <- sic.occ.EUR[,c("X_WGS84","Y_WGS84")]
#Formating input data
myBioData.EUR <- BIOMOD_FormatingData(resp.var=final.EUR.myResp,
expl.var=myExpl.EUR,
resp.xy=myRespXY.EUR,
resp.name=myRespName.EUR,
PA.nb.rep = 5,
PA.nb.absences = 10000,
PA.strategy ='random',
PA.dist.min = NULL,
PA.dist.max = NULL,
PA.sre.quant = 0.025,
PA.table = NULL,
na.rm = TRUE)
r spatial-statistics habitat-modeling
edited yesterday
PolyGeo♦
53.8k1781245
asked yesterday
Alejandro López NúñezAlejandro López Núñez
61
add a comment |
I am trying to model a plant species (composed by 298 occurrences) with BIOMOD2 using the consensus landcover as explanatory variables. However, R shows me an error message during the formatting of input data that I do not understand at all:
Error in .local(sp, env, ...) : object 'mask.tmp' not found
I have a feeling that the problem is related to the training area or something similar, because If I run the analysis in other study areas (with the same explanatory variables, but changing the occurrences and the training area), the code works perfectly!
Could someone help me in fixing this error and understanding where it is coming from?
The following code is an example of my used code:
#Loading libraries
library(biomod2)
library(raster)
library(rgdal)
#Loading occurrences
sic.occ.EUR<- as.data.frame(readOGR(dsn = "C:\Users\Invader\Desktop\minba1", layer = "occ_JAP"))
sic.occ.EUR <- sic.occ.EUR[,c(4,5)]
sic.occ.EUR$Sycios <- 1
names(sic.occ.EUR) <- c("X_WGS84","Y_WGS84","Sycios")
#Loading explanatory variables
Tbio <- raster("C:\Users\Invader\Desktop\minba1\ consensus_full_class_4_crop.tif")
Pbio <- raster("C:\Users\Invader\Desktop\minba1\ consensus_full_class_7_crop.tif")
myExpl.EUR <- stack(Tbio,Pbio)
myRespName.EUR <- "Sycios"
myExpl.proj.EUR <- stack(Tbio,Pbio)
final.EUR.myResp <- as.numeric(sic.occ.EUR[,myRespName.EUR])
myRespXY.EUR <- sic.occ.EUR[,c("X_WGS84","Y_WGS84")]
#Formating input data
myBioData.EUR <- BIOMOD_FormatingData(resp.var=final.EUR.myResp,
expl.var=myExpl.EUR,
resp.xy=myRespXY.EUR,
resp.name=myRespName.EUR,
PA.nb.rep = 5,
PA.nb.absences = 10000,
PA.strategy ='random',
PA.dist.min = NULL,
PA.dist.max = NULL,
PA.sre.quant = 0.025,
PA.table = NULL,
na.rm = TRUE)
r spatial-statistics habitat-modeling
edited yesterday
PolyGeo♦
53.8k1781245
asked yesterday
Alejandro López NúñezAlejandro López Núñez
61
I am trying to model a plant species (composed by 298 occurrences) with BIOMOD2 using the consensus landcover as explanatory variables. However, R shows me an error message during the formatting of input data that I do not understand at all:
Error in .local(sp, env, ...) : object 'mask.tmp' not found
I have a feeling that the problem is related to the training area or something similar, because If I run the analysis in other study areas (with the same explanatory variables, but changing the occurrences and the training area), the code works perfectly!
Could someone help me in fixing this error and understanding where it is coming from?
The following code is an example of my used code:
#Loading libraries
library(biomod2)
library(raster)
library(rgdal)
#Loading occurrences
sic.occ.EUR<- as.data.frame(readOGR(dsn = "C:\Users\Invader\Desktop\minba1", layer = "occ_JAP"))
sic.occ.EUR <- sic.occ.EUR[,c(4,5)]
sic.occ.EUR$Sycios <- 1
names(sic.occ.EUR) <- c("X_WGS84","Y_WGS84","Sycios")
#Loading explanatory variables
Tbio <- raster("C:\Users\Invader\Desktop\minba1\ consensus_full_class_4_crop.tif")
Pbio <- raster("C:\Users\Invader\Desktop\minba1\ consensus_full_class_7_crop.tif")
myExpl.EUR <- stack(Tbio,Pbio)
myRespName.EUR <- "Sycios"
myExpl.proj.EUR <- stack(Tbio,Pbio)
final.EUR.myResp <- as.numeric(sic.occ.EUR[,myRespName.EUR])
myRespXY.EUR <- sic.occ.EUR[,c("X_WGS84","Y_WGS84")]
#Formating input data
myBioData.EUR <- BIOMOD_FormatingData(resp.var=final.EUR.myResp,
expl.var=myExpl.EUR,
resp.xy=myRespXY.EUR,
resp.name=myRespName.EUR,
PA.nb.rep = 5,
PA.nb.absences = 10000,
PA.strategy ='random',
PA.dist.min = NULL,
PA.dist.max = NULL,
PA.sre.quant = 0.025,
PA.table = NULL,
na.rm = TRUE)
r spatial-statistics habitat-modeling
r spatial-statistics habitat-modeling
edited yesterday
PolyGeo♦
53.8k1781245
asked yesterday
Alejandro López NúñezAlejandro López Núñez
61
edited yesterday
PolyGeo♦
53.8k1781245
asked yesterday
Alejandro López NúñezAlejandro López Núñez
61
edited yesterday
PolyGeo♦
53.8k1781245
edited yesterday
PolyGeo♦
53.8k1781245
edited yesterday
PolyGeo♦
53.8k1781245
53.8k1781245
asked yesterday
Alejandro López NúñezAlejandro López Núñez
61
asked yesterday
Alejandro López NúñezAlejandro López Núñez
61
asked yesterday
Alejandro López NúñezAlejandro López Núñez
61
61
add a comment |
add a comment |
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