You can also use the gimms R package and the downloadGimms function. https://cran.r-project.org/package=gimms
Best On Mon, Mar 27, 2017 at 10:00 PM, Andy Bunn <[email protected]> wrote: > Huh. That is very cool. It doesn't look like the NDVI data are in ERDDAP. > They are all here in a really easy form: https://ecocast.arc.nasa.gov/ > data/pub/gimms/3g.v1/ > > I'll dig some more. > > Thanks. > > From: Michael Sumner <[email protected]<mailto:[email protected]>> > Date: Monday, March 27, 2017 at 2:03 PM > To: Andy Bunn <[email protected]<mailto:[email protected]>>, R-sig-Geo < > [email protected]<mailto:[email protected]>> > Subject: Re: [R-sig-Geo] AVHRR NDVI3g time series tool? > > > Maybe xtractomatic? > > On Tue, Mar 28, 2017, 07:55 Andy Bunn <[email protected]<mailto:Andy > [email protected]>> wrote: > Hi all, shot in the dark here. But is there a prefabricated tool for > extracting the biweekly time series from AVHRR NDVI3g for a particular > set of points? I can download all the data and process it myself but > wondering if there is a package that would make this easy. E.g., what I'd > like would be to have the biweekly NDVI time series from 1981 to 2015 for > these points without processing all the netcdf files: > > > require(sp) > pts <- data.frame(ID="NOCA","MORA","OLYM", > lat=c(48.776, 48.879,47.802), > long=c(-121.299,-121.726,-123.604)) > coordinates(pts) <- ~lat+long > > > Can such a thing be easily done? > > Thanks in advance for advice, Andy > > _______________________________________________ > R-sig-Geo mailing list > [email protected]<mailto:[email protected]> > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > -- > Dr. Michael Sumner > Software and Database Engineer > Australian Antarctic Division > 203 Channel Highway > Kingston Tasmania 7050 Australia > > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-Geo mailing list > [email protected] > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > -- Ahmadou H. DICKO, PhD Data Lab Manager Humanitarian Data Exchange (HDX) - humdata.org OCHA ROWCA regional office VDN Sacre Coeur III, Villa 9364 BP 16 922 Fann Dakar, Senegal Phone: (+221) 33 869 85 36 Mobile: (+221) 77 123 81 69 Email: [email protected] Skype: dicko.ahmadou.h Twitter : @dickoah Gitlab: gitlab/dickoa Github: github/dickoa [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo
