Thermal-Sensitivity Research Aims

• Analyze the relationship between air temperature & stream temperature (thermal sensitivity - slope) using time-series data in CRB.
  
• Analyze spatial variation of thermal sensitivity.
  
• How do landscape variables explain the spatial variation of thermal sensitivity.
  

Overview

1. 2021_STandAT.R: calculates daily mean, min, max air & stream temperature values from 7/1/2021 to 8/31/2021 across 72 CRB sites & 1 AREMP site.
2. 2021_TS.R: calculates thermal sensitivity values using daily mean air temperature ~ daily mean stream temperature across 73 sites.
3. app.R: R Shiny web application that allows user to click one of 73 sites to view air-stream temperature time-series from 7/1/2021 to 8/31/2021 and view thermal sensitivity regression.
4. 2021_EVsAndCorr.R: loads 40 landscape EVs and creates Spearman's correlation matrices: full and broken down by scale across 72 sites.
5. 2021_MLR.R: finalized MLR model: thermalSensitivity ~ SLOPE + h2oLakesPe + h2oHiCascP + h2oWetland + Shrub21 + BurnRCA for 72 sites.