Top Tweets for #rsMove
want to integrate #remotesensing into #animalmovement analysis? checkout the #rsMove #rstats package - example and explanations here: https://t.co/7CDdy0N3U1
#rsMove is a package that supports movement ecologist choose and handle #animalmovement and #remotesensing data and supports in the combination of these two data sources.
rsMove R package update https://t.co/2Mxwuqhib6
Our #AniMove #summerschool will cover many #rstats packages: #move #ctmm #recurse #moveVis #rsMove #RStoolbox #getSpatialData #animove ...
#rstats #rsMove package on #animalmovement and #remotesensing will be updated soon with large improvements to function descriptions. Any user feedback is welcome. To do so, please write us through the issues page of our GitHub at https://t.co/DCVV21QOal.
If you missed our early x-mas gift....see how we addressed the spatial-temporal mismatch between #animalmovement and #remotesensing and moved this discussion into practice. Also, check #rsMove #rstats package for the code. #BigData #Landsat @ESA_EO #ecology @AniMove @RSbiodiv https://t.co/5cQxpvbNdA
https://t.co/VsOeDQZsue. New approach towards persistent issues in #animalmovement research with #remotesensing. @animaltracking @AniMove
Interested in our new @RSECjournal paper on the link between #animalmovement and #remotesensing? Check #rstats package #rsMove for the code! @aniMove @animaltracking @RSbiodiv
Also through #rsMove, try to use dataQuery with plotMove and moveReduce to see the time spent per pixel and the value of your env. variable.
Assimilate your #animalmovement data with RS and see how much time is spent at each pixel. How? See moveReduce and plotMove from #rsMove
Don't know which env. var. guide your #animalmovement data? moveSeg from #rsMove tells you where (& how long) a land cover type was visited.
Do spatial/temporal changes in env. conditions affect #animalmovement? Get an overview with #rsMove functions timeDir and spaceDir. @AniMove
have you tried dataQuery from #rsMove? Spatial-temporal query of #animalmovement data. Return the nearest values to tracking dates @AniMove
Want to know which RS data fits your #animalmovement data? Try sMoveRes and tMoveRes from #rsMove to determine adequate resolution @AniMove
@RolandKays @AniMove in #rsMove 0.2.1, hotMoveStats returns the sample indices for the temporal segmentation. Using hotMove() a priori is now optional.
Check #rsMove gitHub for new practical examples on its use for #animalmovement analysis. @AniMove #rstats
I'm just discovering #RSmove, but already looking forward to see the new functions... it sounds great! https://t.co/ETSj6RyeQU
working on proSat() to download/process selected RS data. Which variables would you like to use? #RSmove #rstats #remotesensing @AniMove
Also with getEnv(), check out JRC's Human Settlement Map.
https://t.co/iiUKAz7anX
#RSmove, #rstats @EU_ScienceHub
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