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Paper Review: Pineiro (2008). OP vs. PO. ecolmodel.
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
27 December, 2020 (Jung, bg, FLUXCOM carbon) Gervasio Piรฑeiro, Susana Perelman, Juan P. Guerschman, Josรฉ M. Paruelo, How to evaluate models: Observed vs. predicted or predicted vs. observed?, Ecological Modelling, Volume 216, Issues 3โ€“4, 2008, Pages 316-322, ISSN 0304-3800, https://doi.org/10.1016/j.ecolmodel.2008.05.006. Prediction (x-axis) vs. Observation (y-axis) Martin added a comment to my proposal. He said that I should put prediction on the x-axis, referring to a paper: I have just look over the conclusion of the paper.

Robust linear regression
· โ˜• 1 min read · โœ๏ธ Hoontaek Lee
Robust linear regression Sujan recommended me to use the robust regression models (RLM) instead of the standard OLS (ordinary least squares). What are the differences? Robust: less affected by outliers A drawback of OLS is that the resulted regression line can be significantly altered by some outliers. As the OLS try to find a best line of the minimum SS, the optimum would likely to have more focus on outliers which have large SS.

In Jena: Week 21
· โ˜• 3 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ์ˆ˜์—…: Atmosphere-Ocean-Land ์„ธ๋ฏธ๋‚˜: Randy Koster from NASA Reading club ์žฌ๊ฐœ - Jake’s talk ์ˆ˜์—… ๋“ฃ๋Š” ์ฃผ๋Š” ๋ญ”๊ฐ€ ๋ฐ”์˜๋‹ค… 2021. 1. 18-22. ์›”~๊ธˆ์š”์ผ Atmosphere-Ocean-Land ์ˆ˜์—…. ์ง€๊ตฌ ์‹œ์Šคํ…œ ์ค‘ ๋‚ด๊ฐ€

In Jena: Week 20
· โ˜• 3 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… BGI retreat PAC meeting 2020. 1. 11-12. ์›”-ํ™”์š”์ผ BGI retreat. ํ•œํ•ด๋ฅผ ์ •๋ฆฌํ•˜๋Š” ํ–‰์‚ฌ๋‹ค. ๋ช‡๊ฐ€์ง€ ์„ธ์…˜์ด ์žˆ๋‹ค. ์—ฐ๊ตฌ ๊ด€๋ จ ์งค๋ง‰ํ•œ ๋ฐœํ‘œ๋“ค (PICO, ~5๋ถ„) ์ข€ ๋” ๊ธด ๋ฐœํ‘œ๋“ค (S-talk, ~1

In Jena: Week 19
· โ˜• 1 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… PAC meeting ์ค€๋น„ PAC meeting ์ค€๋น„ ์—ฐ์†. ํ”„๋กœํฌ์ ˆ๊ณผ ๋…ผ๋ฌธ์€ ๋งŽ์ด ๋‹ค๋ฅด๋‹ค. 2021. 1. 9. ํ† ์š”์ผ ์ง‘์— ์™€์ดํŒŒ์ด๋ฅผ ์„ค์น˜ํ–ˆ๋‹ค. 3์ผ ๊ฑธ๋ ธ๋‹ค. ์ธํ„ฐ๋„ท ๋ณด๋ฉด ์ตœ์†Œ ํ•œ ๋‹ฌ

In Jena: Week 18
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… PAC meeting ์ค€๋น„ ์ƒˆํ•ด ์ฒซ ๋ˆˆ(๋‹ค์šด ๋ˆˆ) ํœด์ผ ๊ธฐ๊ฐ„์ด๋‹ค. ํฌ๋ฆฌ์Šค๋งˆ์Šค ์ฃผ๋ถ€ํ„ฐ 1์›” 1์ผ ๊ปด ์žˆ๋Š” ์ฃผ๊นŒ์ง€ ๋ชฝ๋•…… ๋•๋ถ„์— ์—ฐ๊ตฌ์†Œ๊ฐ€ ํ•œ๊ฐ€ํ•ด

In Jena: Week 17
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ์ด์‚ฌ ํฌ๋ฆฌ์Šค๋งˆ์Šค 2020. 12. 21. ์›”์š”์ผ ํฐ ๋„์ฐฉ! ๋‹ค์Œ ์ฃผ์— ์˜ฌ ์˜ˆ์ •์ด์—ˆ๋Š”๋ฐ ์ดํ‹€๋งŒ์— ์™”๋‹ค. ๊ฐ€๋”์€ ๋…์ผ๋„ ๋น ๋ฅด๋‹ค. ์•„์ดํฐ 12 ํ™”์ดํŠธ. ๋ฏธ๋‹ˆ๋Š” ๋ฐฐํ„ฐ

Paper Review: Jung (2020). FLUXCOM evaluation: carbon. bg.
· โ˜• 5 min read · โœ๏ธ Hoontaek Lee
27 December, 2020 (Jung, bg, FLUXCOM carbon) Jung, M., Schwalm, C., Migliavacca, M., Walther, S., Camps-Valls, G., Koirala, S., Anthoni, P., Besnard, S., Bodesheim, P., Carvalhais, N., Chevallier, F., Gans, F., Goll, D. S., Haverd, V., Kรถhler, P., Ichii, K., Jain, A. K., Liu, J., Lombardozzi, D., Nabel, J. E. M. S., Nelson, J. A., O’Sullivan, M., Pallandt, M., Papale, D., Peters, W., Pongratz, J., Rรถdenbeck, C., Sitch, S., Tramontana, G.

In Jena: Week 16
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… Keyboard & Mouse & Ubuntu TU-Dresden ๋“ฑ๋ก ์ง„ํ–‰ - termin Riding BGI retreat๋Š” ์ฝ”๋กœ๋‚˜ ๋•Œ๋ฌธ์— ์ทจ์†Œ! 2020. 12. 15. ํ™”์š”์ผ ์„ธ ๋‹ฌ ๋ฐ˜์ด ์ง€๋‚˜๊ณ , Cluster ํ™œ์šฉ์„ ๋” ์‰ฝ๊ฒŒ ํ•˜๊ธฐ ์œ„ํ•ด Li

In Jena: Week 15
· โ˜• 3 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ๋น„์ž ์—ฐ์žฅ TU-Dresden ๋“ฑ๋ก ์ง„ํ–‰ Python ์ง‘ ๊ณ„์•ฝ ์ค€๋น„ 2020. 12. 7. ์›”์š”์ผ 6๊ฐœ์›”์งœ๋ฆฌ ์ž„์‹œ ๋น„์ž ๋ฐœ๊ธ‰ ๋ฐ›์•˜๋‹ค. ๋‘์–ด ๋‹ฌ ์ •๋„ ํ›„์— ์ง„์งœ ๋น„์ž (3๋…„ ์งœ๋ฆฌ)๋ฅผ ๋ฐ›๊ฒŒ ๋  ์˜ˆ

In Jena: Week 14
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… … ๋ญ ํ–ˆ๋Š”์ง€ ๋ชจ๋ฅด๊ฒ ๋„ค? R ์ฝ”๋”ฉํ•˜๊ณ , ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ํ•˜๋ ค๊ณ  ๋ฉ”์ผ ์ฃผ๊ณ  ๋ฐ›๊ณ , ๋ฏธํŒ… ์ข€ ํ•˜๋‹ˆ๊นŒ ํ•œ ์ฃผ๊ฐ€ ๊ฐ€๋ฒ„๋ ธ๋‹ค. Tina, Basil์—๊ฒŒ global TWS decomposiiton es

In Jena: Week 13
· โ˜• 4 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… TWS-NEE discussion with Sujan, Martin, Nuno, and Markus ๋ฐฅ & ์ˆ  2020. 11. 26. ๋ชฉ์š”์ผ TWS-NEE discussion with Sujan, Martin, Nuno, and Markus 9์›”๋ถ€ํ„ฐ 11์›”๊นŒ์ง€ ๋‚ด ์—ฐ๊ตฌ๋ฅผ ์–ด๋–ป๊ฒŒ ์ง„ํ–‰ํ•ด ์™”๊ณ  ์–ด๋–ป๊ฒŒ ํ•ด๋‚˜๊ฐ€๋ฉด ์ข‹์„์ง€ ํ† ์˜

Isolation Forest
· โ˜• 3 min read · โœ๏ธ Hoontaek Lee
knitr::opts_chunk$set(eval = TRUE, echo = TRUE, warning = FALSE) References: solitude: https://github.com/talegari/solitude isofor: https://campus.datacamp.com/courses/anomaly-detection-in-r/isolation-forest # install.packages("mvoutlier")) # install.packages("remotes")) # remotes::install_github("Zelazny7/isofor") #import libraries library(ggplot2) library(ggpubr) library(solitude) # hereafter, "sol" library(isofor) # hereafter, "iso" library(viridis) packageVersion("solitude") #create sample data data("humus", package = "mvoutlier") # 2-dimensional columns_required <- c("Bi", "Cd") humus2 <- humus[ , columns_required] # multi-dimensional columns_required_mul <- setdiff(colnames(humus) , c("Cond", "ID", "XCOO", "YCOO", "LOI") ) humus_mul <- humus[ , columns_required_mul] str(humus2) str(humus_mul) #plot data ggplot(humus2, aes(x = Bi, y = Cd)) + geom_point(shape = 1, alpha = 0.