栅格r错误：{：任务1中的错误失败 - ＆quort; 0（non -na）案例;

Question

我正在尝试通过r软件包 atusterancega 在某些环境横梁上。但是，{：任务5失败 - “ 0（non -na）案例”中的错误错误，当我的射手通过算法时。到目前为止，我没有使用我使用过的任何其他数据集的问题，但是，该数据集是外部采购的。这使我相信这与栅格本身有关，而不是包裹。所有横司的格式均以.ASC格式，并已从Geotiffs转换。

可以找到数据

所使用的完整代码：

# Load Package
library(ResistanceGA) 
library(rgdal)
library(corpcor)
library(pryr)

## Create Directory for Examples ##
if("ResistanceGA_Examples"%in%dir("D:/ResistanceGA/Data/Model_Outputs/100m")==FALSE)
  dir.create(file.path("D:/ResistanceGA/Data/Model_Outputs/", "100m"))

## Create Directory Object for .asc Files and results
write.dir <- "D:/ResistanceGA/Data/Model_Outputs/FINAL"

## Set working directory ##
setwd("D:/ResistanceGA/Data/Model_Ouputs/100m")

## Set ASC Directory ##
asc.dir <- "D:/ResistanceGA/Data/FINAL/100m/ASC"

## Sample locations
samples <- read.table("D:/ResistanceGA/EGK_SampleLoc.txt", sep="")
sp.dat <- SpatialPoints(samples[,c(1,2)], proj4string = CRS("+proj=longlat +datum=WGS84"))
sp.dat.reproj <- spTransform(sp.dat, CRS("+proj=utm +zone=56 +south"))

## Input Genetic Matrix ##
gen_dist <- read.table('D:/ResistanceGA/EGK_Fst.txt', sep="", header = FALSE)

## Bring in Geochemistry Rasters ##
carbon <- raster('carbon.asc')
phos <-raster('phosphorus.asc')
nit <-raster('nitrogen.asc')

## Create the Raster Stack ##
r.stack <- stack(carbon, phos, nit)

## Change Projection Of Datasets ##
crs(sp.dat.reproj)<- CRS("+proj=utm +zone=56 +south +datum=WGS84")
crs(r.stack)<- CRS("+proj=utm +zone=56 +south +datum=WGS84")

## Genetic Distance Inputs ##
gdist.inputs <- gdist.prep(length(sp.dat.reproj),
                           samples = sp.dat.reproj,
                           response = lower(as.matrix(gen_dist)),
                           method = 'commuteDistance')

GA.inputs <- GA.prep(ASCII.dir = r.stack,
                     Results.dir = write.dir,
                     parallel = 14)

SS_RESULTS.gdist <- SS_optim(gdist.inputs = gdist.inputs,
                             GA.inputs = GA.inputs)

运行以下内容时会出现错误：

SS_RESULTS.gdist <- SS_optim(gdist.inputs = gdist.inputs,
                             GA.inputs = GA.inputs)

输出：

Error in { : task 5 failed - "0 (non-NA) cases"

应输出迭代指标时，例如：

GA | iter = 1 | Mean = -57442.214 | Best =    155.842
GA | iter = 2 | Mean = -56714.224 | Best =    157.142
GA | iter = 3 | Mean = -28712.441 | Best =    159.342
GA | iter = 4 | Mean = -34414.224 | Best =    159.842