Weather Station Analysis

I spent my time interning at University of Florida Tropical Research and Education Center, and there I had the privilege of working directly with the weather stations of the hemp trials. There I was able to make this analysis on the weather data using R programming language. This analysis was made using various weather stations in various test sites. I would be in charge of maintenance and repair for the weather stations as well as the data while I was there. 

In this analysis I used the R programming language to make algorithm to separate the irrigation from rainfall in the data. Using the irrigation and rainfall time frames in our area using the in house FAWN system which gathers solely weather data from the area, I used the weather station's elevation to the differences in precipitation and soil moisture. Using various techniques, I was able to not only seperate the irrigation from the rainfall in the dirty data, I was able to seperate the fertilization days and isolate how much irrigation and rainfall those days and after those days got. These are just some of the data graphs I was able to provide using ggplot2 and data manipulation using tidyverse. 

In this Github repo you can find all the code used for this analysis GitHub link