search for: erddap

...OAA person with a Windows computer with the latest R to test for us what is failing (but works on Macs and Linux from different sites). Part of the problem is there is an Akamai service in between that we feel may be messing up things. To do this you would need to be willing to: 1. install the ?rerddap? package from CRAN, with all dependencies - or if installed make certain it is the latest 2. make certain that the packages ?curl?, ?crul? and ?http? are up to date. 3. Run the following: # load rerddap library("rerddap?) # delete rerddap cache just in case cache_delete_all() # get the...

...with a Windows computer with the latest R to test for us what is failing (but works on Macs and Linux from different sites). Part of the problem is there is an Akamai service in between that we feel may be messing up things. To do this you would need to be willing to: > > 1. install the ?rerddap? package from CRAN, with all dependencies - or if installed make certain it is the latest > > 2. make certain that the packages ?curl?, ?crul? and ?http? are up to date. > > 3. Run the following: > > # load rerddap > library("rerddap?) > # delete rerddap cache just...

Dear R Users - R is a wonderful software package. CRAN provides a variety of tools to work on your data. But R is not apt to utilize all the public databases in an efficient manner. I observed the most tedious part with R is searching and downloading the data from public databases and putting it into the right format. I could not find a package on CRAN which offers exactly this fundamental

If you are a user of the R package "xtractomatic", I have a new development version available, as well as a test version of the package "rerddapXtracto". The biggest changes are functions that can take the output of any of the data download functions and quickly map the data. These functions use the package "plotdap". Also, a lot of the code in the development version of "xtractomatic" has been cleaned up and si...

...service, in this case a .csv file. When I use httr::content on the result, I get a message. Since this will be in a package. I want to suppress the message, but haven't figured out how to do so. The following should reproduce the result: myURL <- 'https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdMH1sstdmday.csvp?time[0:1:last]' r1 <- httr::GET(myURL) junk <- httr::content(r1) when the last command is run, you get: Parsed with column specification: cols( `time (UTC)` = col_datetime(format = "") ) I want to suppress that output. Thanks, -Roy ***********...

Has anyone written a script or function to read data from NODC?s World Ocean Database files? (I know there are simple Fortran and C programs to read these files, but the output is not suitable for easy analysis) Thanks, Franz _____________________________________________________ Dr. Franz J. Mueter School of Fisheries and Ocean Sciences, Juneau Center University of Alaska Fairbanks 11120

...se a .csv file. When I use httr::content on the result, I get a message. Since this will be in a package. I want to suppress the message, but haven't figured out how to do so. > > The following should reproduce the result: > > myURL <- 'https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdMH1sstdmday.csvp?time[0:1:last]' > r1 <- httr::GET(myURL) > junk <- httr::content(r1) > > when the last command is run, you get: > > Parsed with column specification: > cols( > `time (UTC)` = col_datetime(format = "") > ) > > I wan...

...When I use httr::content on the result, I get a message. Since this will be in a package. I want to suppress the message, but haven't figured out how to do so. >> >> The following should reproduce the result: >> >> myURL <- 'https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdMH1sstdmday.csvp?time[0:1:last]' >> r1 <- httr::GET(myURL) >> junk <- httr::content(r1) >> >> when the last command is run, you get: >> >> Parsed with column specification: >> cols( >> `time (UTC)` = col_datetime(format = &quot...

...team-oriented multi-project environment Preferred Experience with spatial analysis of wildlife survey data, especially marine bird data, in the marine environment Knowledge of ecology, marine science, oceanography, and/or a related field Ability to interface with large databases through THREDDS/ERDDAP servers in R and/or Matlab Experience working with ocean remote sensing data, numerical ocean model outputs (e.g., ROMS), and large distributed oceanographic databases Proficiency with programmable GIS (e.g., Python scripting with ArcGIS or equivalent); Experience with geostatistics (gstat, ESRI...