wleuenberger / phenologyshiny

Phenology data and shiny creation

PhenologyShiny

This Shiny app utilizes phenology data collected by students on the MSU campus. The data input into the Shiny contains percentage of leaf color and leaf fall for multiple tree species at MSU from 2017-2023. Weather data is also input into the Shiny to allow for comparisons between phenology and temperature, precipitation, etc.

Wendy Leuenberger, Kara Dobson, Brianna Brown, Harry Shomer, Abby Bryson

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Data

CleanedPhenologyData2017to2023.csv: This file contains all of the data and is cleaned. This file is created from the DataManagement.Rmd code for 2017-2022; 2023 data was copied into this file from the raw excel sheet for 2023.

weather_data_daymet_newvariablesApr2024.csv: Complete weather data

Metadata

WeatherDataCollectionDocument.docx: Metadata from Group 3 on how they collected weather data and processed to create some of the columns that we needed. For each new year, data is downloaded from DayMet, copied into the previously complete weather data csv, and the functions are applied to create any new columns.

Code

This file was used to merge data for 2017-2022. Moving forward, starting with 2023 data, it can be copied at the end of the previously complete data frame.
DataManagement.Rmd: R code to process all four data files and produce CleanedPhenologyData2017to2022. Also produces DataManagement.md (readable on GitHub) and DataManagement.html (readable in browser) that detail the data cleaning process.

Shiny

Shiny_app.R: Code for creating the Shiny. Uses CleanedPhenologyData2017to2023.csv and weather_data_daymet_newvariablesApr2024.csv as inputs

Lesson plan

Phenology_Lesson_Plan.docx: Lesson plan that works with the Shiny app. Also accessible on the PLB 843 Forum's Google Drive: https://docs.google.com/document/d/1xHASuwbRc__C6bLMj2aRPokvVurwpWXC9nYD0_PquIA/edit