View MODIS_arctic_sites_download.R
| # download NDVI time series | |
| library(MODISTools) | |
| df <- data.frame( | |
| site_name = | |
| c("US-Bes", | |
| "US-Atq", | |
| "US-Ivo", | |
| "US-ICt", | |
| "DK-ZaH", |
View orient_images.sh
| # aligns virtual orientation with physical orientation | |
| mogrify -auto-orient *.png |
View montage.sh
| montage *.png -bordercolor White -border 5x5 -colorspace Gray -gravity center -tile 7x -geometry +10+0 ~/montage.jpg |
View ghent_air_quality_vmm.R
| # Ghent air pollution analysis | |
| # parametric t-tests | |
| # non-parametric Mann-Whitney U test | |
| # download and collate the data | |
| pdf_data <- paste0(pdftools::pdf_text("https://klimaat.stad.gent/sites/default/files/nota_circulatieplangent_3.pdf")[2], | |
| collapse = " ") | |
| # some regular expression moving about | |
| subset <- gsub(',', ".", pdf_data) |
khufkens
/ cold_front_geopotential_transect.R
Last active Apr 19, 2019
Cold front transect along geopotential heights
View cold_front_geopotential_transect.R
| # Before you start install all the referenced packages below | |
| # including the development release of ecmwfr you will also | |
| # need the rnaturalearthdata in addition to the normal package | |
| # To run the code copy and paste segments as this is still | |
| # rough around the edges and requires user interaction to | |
| # set your CDS API key. | |
| # load libraries | |
| if(!require(devtools)){install.packages("devtools")} | |
| devtools::install_github("khufkens/ecmwfr") |
khufkens
/ essential_climate_variables_animation.R
Last active Apr 3, 2020
Downloads and animates CDS essential climate variables
View essential_climate_variables_animation.R
| # Before you start install all the referenced packages below | |
| # including the development release of ecmwfr you will also | |
| # need the rnaturalearthdata in addition to the normal package | |
| # To run the code copy and paste segments as this is still | |
| # rough around the edges and requires user interaction to | |
| # set your CDS API key. | |
| # load libraries | |
| if(!require(devtools)){install.packages("devtools")} | |
| devtools::install_github("khufkens/ecmwfr") |
khufkens
/ essential_climate_variable_plot.R
Last active Apr 12, 2019
Downloads and plots essential climate variable resembling the ECWMF plot
View essential_climate_variable_plot.R
| # Before you start install all the referenced packages below | |
| # including the development release of ecmwfr you will also | |
| # need the rnaturalearthdata in addition to the normal package | |
| # To run the code copy and paste segments as this is still | |
| # rough around the edges and requires user interaction to | |
| # set your CDS API key. | |
| # load libraries | |
| if(!require(devtools)){install.packages("devtools")} | |
| devtools::install_github("khufkens/ecmwfr") |
View modify_pdf_exif_data.sh
| #!/bin/bash | |
| # Insert PDF meta-data into exif header | |
| # for pdf files with format author - year - title.pdf. | |
| # This allows e-readers to query meta-data for proper | |
| # display and sorting of authors and titles | |
| # (note: relies on exiftool) | |
| for filename in *.pdf; do | |
| noext=`echo "${filename%.*}"` |
khufkens
/ el_nino_precip_analysis.r
Created May 10, 2018
CHIRP drought / precipitation differences between the Amazon and Congo Basin during the 2015 El Nino
View el_nino_precip_analysis.r
| # map El Nino drought in the Amazon and Africa | |
| library(raster) | |
| library(tidyverse) | |
| library(maps) | |
| library(RColorBrewer) | |
| # set colour theme | |
| colours = brewer.pal(11,"RdBu") | |
| # download CHIRP data |
View daymet_server_tests.r
| # load required libraries | |
| if(!require(devtools)){install.package("devtools")} | |
| if(!require(daymetr)){devtools::install_github("khufkens/daymetr")} | |
| library("daymetr") | |
| # no delay calls | |
| no_delay = unlist(lapply(1:100, function(...){ | |
| # download data | |
| error = try(download_daymet(silent = TRUE)) |
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