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Potentially useful blogs, books, posts, and code snippets ¯\_(ツ)_/¯
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Side Projects
Geospatial Features in R
Geospatial Features in R
This project delves into the realm of LiDAR and image processing in R, utilizing the lidR package. The scope expands to encompass diverse raster data insights, with a primary focus on remotely sensed imagery. The objectives cover a spectrum of tasks, from efficiently handling LiDAR data to employing advanced techniques for comprehensive spatial analysis.
Long-Term Trends in CO2 Concentrations & Carbon Isotope Composition
Long-Term Trends in CO2 Concentrations & Carbon Isotope Composition
I investigated the temporal trends in atmospheric carbon dioxide (CO2) concentrations (Ca) and carbon isotope composition (δ13C.atm), employing data from Belmecheri and Lavergne (2020) and Mathias & Thomas (2021). This project highlights the significant rise in atmospheric CO2 concentrations, reaching approximately 420 parts per million in recent years, impacting δ13C values in plant tissues.
Potentially Useful Code Snippets
This makes it super quick and easy for you to get your SEM data to add error bars to your bar chart!
This makes it super quick and easy for you to get your SEM data to add error bars to your bar chart!
Function to quickly gather SEM data for bar charts
Function to quickly gather SEM data for bar charts
data_summary <- function(data, variable, watershed){
require(plyr)
summary_func <- function(x, col){
c(mean = mean(x[[col]], na.rm = TRUE),
sem = sd(x[[col]], na.rm = TRUE) / sqrt(length(x[[col]])),
totalC_gm2 = sum(x$totalC_gm2, na.rm = TRUE))
}
data_sum <- ddply(data, watershed, .fun = summary_func, col = variable)
return(data_sum)
}
By adjusting elements such as axis lines, grid lines, and background, the theme aims to reduce unnecessary distractions, allowing viewers to focus on the essential components of the data.
By adjusting elements such as axis lines, grid lines, and background, the theme aims to reduce unnecessary distractions, allowing viewers to focus on the essential components of the data.
Custom theme for publication / poster printing
Custom theme for publication / poster printing
my_theme <- theme(axis.line.x = element_line(linewidth = 0.5,
colour = "black"), axis.line.y = element_line(linewidth = 0.5,
colour = "black"),axis.line = element_line(linewidth = 1,
colour ="black"),panel.grid.major = element_blank(),
panel.grid.minor =element_blank(),
panel.border = element_blank(),
panel.background = element_blank(),
text=element_text(size = 14, family = "Palatino Linotype"),
axis.text.x=element_text(colour="black", size = 14),
axis.text.y=element_text(colour="black", size = 14),
legend.title = element_blank(),legend.key=element_blank())
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