Get chirps monthly #1
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| library(tidyrgee) | ||
| library(rhdx) | ||
| library(tidyverse) | ||
| ee_Initialize() |
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I was having this issue authenticating, so used this workaround, just FYI
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Interesting! yeah it seems the {rgee} authentication procedures are in some state of flux at the moment. I personally am not having issues with it, but seems alot are.
A couple questions
- Are you using Rstudio?
- Also have you followed the
{rgee}install/authentication instructions? I think it sets up a conda env w/ miniconda (also downloaded/set up gcloud?). Unfortunately{rgee}has never been a simpleinstall.packages("rgee")situation
It's probably an annoying default set up if you are using pyenv for everything else. But so far has been working for me at least
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| # zonal means for each year-month at admin 1 | ||
| df_chirps_monthly <- ee_extract_tidy( |
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I keep getting Error in value[[3L]](cond) : The ee$FeatureCollection (y) must be not higher than 10 000., even though the feature collection should just be 34 long. Could it be related to your issue here?
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yeah seems related, but oddly this is not causing issues for me.
Probably it's calculating length(y) as 34 (provinces) *12 (months) * 43 (years).
Did you download the dev version of {tidyrgee} (devtools::install_github("r-tidy-remote-sensing/tidyrgee")). Maybe I implemented a work-around for the issue there, but I thought it would be on CRAN anyway
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Thanks for the feedback. The authentication issue w/ rgee is a bit troubling and I am not 100% sure what the plan is for the package. I will try to find out. Let me know if any of the above comments help. I can either leave this branch hanging or merge it to main. The chirps adm0 data from GEE probably won't be used at the end of the day as I am now aggregating from WFP (HDX) instead, but there is some exploratory analysis that I do later w/ |
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Despite the issues, going to merge to main so I can build off of Zack's work for my additional exploration. |
gee script to extract monthly chirps means to adm1 in afg