When To Knit: Knitting is a useful exercise throughout your scientific workflow. The knitr package was designed to be a transparent engine for dynamic report generation with R – Yihui Xi – knitr package creator Efficiently change code outputs (figures, files) given changes in the data, methods, etc.Document our workflow to facilitate reproducibility.

Create professional reports that document our workflow and results directly from our code, reducing the risk of accidental copy and paste or transcription errors.

Publish & share preliminary results with collaborators.Knitr is the R package that we use to convert an R Markdown document into another, more user friendly format like. rmarkdown: install.packages('rmarkdown').You will also need an R Markdown document that contains a YAML header, code chunks and markdown segments. You will need the most current version of R and, preferably, RStudio loaded on your computer to complete this tutorial. Know how to modify chuck options to change what is rendered and not rendered on the output html file.

Be able to produce ( knit) an html file from an R Markdown file.

SECTION 15 LAST CLASS: FINAL PROJECT PRESENTATIONS.

SECTION 14 FINAL PROJECTS & COURSE FEEDBACK DISCUSSION.

SECTION 10 MIDTERM REVIEW / PRESENTATION BEST PRACTICES.

SECTION 9 STUDY FIRE USING REMOTE SENSING DATA.

8.1 Fire / spectral remote sensing data - in R.

SECTION 8 QUANTIFY FIRE IMPACTS - REMOTE SENSING.

SECTION 7 MULTISPECTRAL IMAGERY R - NAIP, LANDSAT, FIRE & REMOTE SENSING.

Uncertainty in Scientific Data & Metadata

SECTION 5 LIDAR DATA IN R - REMOTE SENSING UNCERTAINTY.

Refine R Markdown Reports with Images and Basemaps

SECTION 2 INTRO TO R & WORK WITH TIME SERIES DATA.

Macdown figure