Question

我找到了一个关于ROpenSci的教程，用于将物种出现数据与气候数据叠加在一起：Where can I find the error logs of nginx, using fastcgi and django 我正在尝试使用R包装rWBClimate制作三种植物物种的物种发生图。我想使用气候模型根据气候变化（温度）预测未来物种的发生分布。

我知道如何获得模型温度并且我已经使用了子集函数，但每次我使用climate_map函数时都会收到一条错误，说明＆＃34;在climate_map中出错（usmex.basin，temp.dat， return_map = F）：您不能为每个区域提供多个数据来映射＆＃34;。

有人知道如何修复此错误吗？

代码：

library(devtools)
install_github("ropensci/rWBclimate")
library("rWBclimate")
library("spocc")
library("plyr")
library("sp")
dir.create("~/kmltmp")
options(kmlpath="~/kmltmp")
options(stringsAsFactors = FALSE)
require(rWBclimate)
usmex <- c(273:284, 328:365) 
usmex.basin <- create_map_df(usmex)
temp.dat <- get_model_temp(usmex, type= "mavg", 2080, 2100) 
#mavg=monthly averages #2080 is start year #2100 is end year

temp.dat <- subset(temp.dat, temp.dat$year ==2080) #for year 2080
temp.dat <- subset(temp.dat, temp.dat$gcm=="ukmo_hadcm3") 
#general circulation model name ukmo_hadcm3
temp.dat <- subset(temp.dat, temp.dat$scenario!="b1") 
#b1 scenario with a more ecologically friendly world
usmex.map.df <- climate_map(usmex.basin, temp.dat, return_map =F)           
#return_map=F bc i need a dataframe where data items are matched to their     
 polygon that I can plot later on.
**Error in climate_map(usmex.basin, temp.dat, return_map = F) : 
You can't have more than one piece of data for each region to map**

#Plant species:
splist <- c("Acanthospermum australe", 
"Abutilon megapotamicum", "Alternanthera philoxeroides")
splist <-sort(splist)
require("spocc")
out <- occ(query=splist, from= "gbif", limit=100)
out <-fixnames(out, how="query")
out_df <- occ2df(out) #combine results from occ calls to a single data.frame

如何绘制物种出现数据？

0 个答案: