Homework (10 points): Due Monday Sept 25 @ 8AM

Produce a Final Report on the 2013 Floods

Create a new R markdown document. Name it: lastName-firstInitial-floodreport.Rmd Within your .Rmd document, carefully compose a report that summarizes what you have learned about the 2013 Colorado flood event. Use all of the plots that you have created in the first 3 weeks of the class in your report as listed below.

When you are done with your report, use knitr to convert it to html format (note: if you did not get knitr working it is ok if you create an html document and export it to html as demonstrated in class). You will submit both the .Rmd file and the .html file. Be sure to name your files as instructed above!

Include the following parts in your report:

Background / Overview of the Flood

Include the following background in your report:

1. Description of where and when the disturbance event occurred.
2. Discussion of the drivers that yielded the flooding in Boulder and discussion of the impacts of the flood.

Your Report Should Include 9 Plots

Your report should include the following plots (in whatever order you think best describes the events of the flood):

Basemap Plot:

• PLOT 1: A basemap showing the location of the stream gage / study area created using ggmap() (or the maps package if ggmap doesn’t work on your computer). Use the ggmap / maps lesson to guide creating this plot.

Precip & Discharge Plots from Week 2:

Use the data/week-02/precipitation/805325-precip-dailysum-2003-2013.csvfile to create:

• PLOT 2: a plot of precipitation from 2003 to 2013 using ggplot().
• PLOT 3: a plot that shows precipitation SUBSETTED from Aug 15 - Oct 15 2013 using ggplot().

Use the data/week-02/discharge/06730200-discharge-daily-1986-2013.csv file to create:

• PLOT 4: a plot of stream discharge from 1986 to 2016 using ggplot().
• PLOT 5: a plot that shows stream discharge SUBSETTED from Aug 15 - Oct 15 2013 using ggplot().

Raster & Histogram Plots from Week 3:

• PLOT 6: pre/post CHM difference raster histogram Create a cropped raster map that shows positive and negative change in the canopy height model before and after the flood. To do this:
  • Subtract the post-flood CHM from the pre-flood CHM (pre_flood_CHM - post_flood_CHM).
  • Crop the data using the data/week-03/BLDR_LeeHill/clip-extent.shp crop_extent shapefile.
  • Plot a histogram of the cropped data.

• PLOT 7: Classified pre/post CHM difference raster Use the difference raster that you created above and the histogram as a guide to classify your difference canopy height model. Use values that make sense after reviewing the histogram.

• PLOT 8: pre/post DTM difference raster histogram Create a cropped raster map that shows positive and negative change in the digital terrain model before and after the flood. To do this:
  • Subtract the post-flood DTM from the pre-flood DTM (pre_flood_DTM - post_flood_DTM).
  • Crop the data using the data/week-03/BLDR_LeeHill/clip-extent.shp crop_extent shapefile.
  • Plot a histogram of the cropped data.
• PLOT 9: Classified pre/post DTM difference raster Use the difference raster that you created above and the histogram as a guide to classify your difference digital terrain model. Use values that make sense after reviewing the histogram.

Graduate Students Only - Use Bookdown to Add Citations

• Use bookdown and knitr to add citations to your report. This tutorial will help you complete this part of the assignment.

For all plots use the readings from the last 3 weeks to discuss:

• Where the data came from and what the data shows.
• Discuss patterns that are evident in the data and potential relationships between what you see in the lidar data compared to precipitation and discharge.

Summary / Discussion

End your report with a summary discussion of the flood events. Be sure to discuss how the data help you better understand the 2013 Colorado floods as they impacted Boulder, Colorado.

Important:

• Clearly state the source of each dataset that you use to create the plot in your report text.
• Make sure each plot has a clear TITLE and, where appropriate, label the x and y axes. Be sure to include UNITS in your labels!
• Analyze / interpret each plot that you produce in your report. State what the source of the data are and what the plot shows as a driver or impact of the 2013 flood events.
• Clearly document that steps that you took to process the data by commenting your code or in the text of your report itself as it makes sense.
• All students must cite at least 3 articles that you read or other sources of information that you used to write your report. (grad students will use bookdown to do this, undergrads can choose how they want to include citations).
• Use clean coding practices - this includes comments, variable names that are informative, clean code spacing, following Hadley Wickham’s code style guide.
• Make sure all of the libraries that you use in the report are listed in a code chunk at the TOP of your document.
• Spell check your report and check grammar.
• All plots should be clearly labeled with titles, and x and y axis labels are it makes sense. (Your map of lidar data doesn’t need x and y labels).
• Be sure to discuss how you selected the classification values used in the raster plots referencing the histograms of the data that you create.
• OPTIONAL BONUS: Include images as they make sense. Be sure to cite any graphics that you use that are not yours.

Submissions

Submit your report in both .Rmd and .html format to the D2L dropbox. NOTE: if you want to create .pdf formatted reports that is fine as well! You may need to google formatting associated with pdfs!