• Preface
  • I Background
  • 1 Motivation and objectives
    • 1.1 Motivation
    • 1.2 Objectives
  • 2 R statistical program
    • 2.1 R
    • 2.2 Functions & packages
      • 2.2.1 Function
      • 2.2.2 Arguments
      • 2.2.3 Package
    • 2.3 Documentation
  • 3 GitHub
    • 3.1 DWQ GitHub organization
    • 3.2 DWQ R packages
  • 4 IR process outline
  • II Demonstration
  • 5 Options for running demos
    • 5.1 Preferred method: R-Studio Cloud
    • 5.2 Local install of R & DWQ packages
    • 5.3 Running Shiny applications via remote server
  • 6 Packages & data downloads
    • 6.1 Install & import DWQ’s R packages
    • 6.2 Download and import data
      • 6.2.1 Data download
      • 6.2.2 Data imports
  • 7 Site validation
    • 7.1 Auto site validation & use and assessment unit assignments
    • 7.2 Manual site validation
  • 8 Data processing
    • 8.1 Data validation
      • 8.1.1 Update detection condition / limit name tables
      • 8.1.2 Determine detection conditions and fill NDs
      • 8.1.3 Update lab/activity & media tables
      • 8.1.4 Apply screening tables
      • 8.1.5 Subset data to desired flag types
    • 8.2 Data prep
      • 8.2.1 Update parameter translation tables
      • 8.2.2 Apply parameter translation table
      • 8.2.3 Subset data to ACCEPT parameters
      • 8.2.4 Criteria & unit assigments
      • 8.2.5 Final data prep step
      • 8.2.6 Write processed data
  • 9 Assessments
    • 9.1 Conventionals (rivers & streams, non-ALU lake surface)
      • 9.1.1 Count exceedances
      • 9.1.2 Assess exceedances
    • 9.2 Toxics
      • 9.2.1 Count exceedances
      • 9.2.2 Assess exceedances
    • 9.3 Lake profiles
    • 9.4 E.coli (not run)
    • 9.5 HFDO (not run)
    • 9.6 Group assessments
  • 10 Rollup
  • 11 Write out assessments
  • 12 Assessment map
  • III Applications
  • 13 Review and visualization applications
    • 13.1 Assessment review tools
      • 13.1.1 Pre-assessment site validation applications
      • 13.1.2 Assessment & data dashboard
      • 13.1.3 Lake profile dashboard
      • 13.1.4 High frequency DO dashboard
    • 13.2 Examples from other programs
      • 13.2.1 Utah Lake Data Explorer
      • 13.2.2 Great Salt Lake Data Explorer

Utah DWQ’s irTools R package: An automated approach to state-wide water quality assessment

12 Assessment map

https://bookdown.org/jakevl/assessment-map/assessment-map.html assessment-map