Closed SaraVarela closed 4 years ago
Hi Sara,
thanks for posting, and especially for the particular puma example. I have improved the plotting function a little bit, and also the handling of the outlier test in clean_coordinates, so best download the latest version from github for the students.
For your issues:
You can specify the column names in the clean_coordinates
function and the plot
method, using the lon
and lat
arguments. This is because naming can change among different data sources and it also does for GBIF depending on the download type. The default is all small caps. This works for me (v2.0-16):
library (rgbif)
library(CoordinateCleaner)
key <- name_backbone(name='Puma concolor')$speciesKey
dat <- occ_search(taxonKey=key, return='data', limit=100)
rl <- clean_coordinates(x = dat,
lon= "decimalLongitude",
lat = "decimalLatitude")
summary(rl)
plot(rl,
lon = "decimalLongitude",
lat = "decimalLatitude")
Unfortunately I could not reproduce the Madagascar error. This is bizarre, not sure where it could have come from. But it should also by specifying the column names in the plot function
Does that work?
library (rgbif) key <- name_backbone(name='Puma concolor')$speciesKey dat <- occ_search(taxonKey=key, return='data', limit=100) names (dat) plot (dat$decimalLongitude, dat$decimalLatitude) map (add=T)
there is a small bug in the function. we need to change the names of the variables. names (dat)[3:4]<- c("decimallatitude", "decimallongitude") x<- dat
and now there is a bug. it seems that it is not reading my data and working with a default set. I get a map of madagascar rl <- clean_coordinates(x = x) summary(rl) plot(rl)