Homework (5 points): Due Monday Oct 2 @ 8AM

Produce a Report

Create a new R markdown document. Name it: lastName-firstInitial-week4.Rmd Within your .Rmd document, include the plots 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 pdf as demonstrated in class). You will submit both the .Rmd file and the .html file. Be sure to name your files as instructed above!

In your report, include the plots below. The important part of this week is that you document each step of your workflow using comments. And that you break up the sections of your analysis into SEPARATE code chunks.

Answer the Questions Below in Your Report

Write 1 paragraph addressing the following:

1. In your own words, define what a Coordinate Reference System (CRS) is.
2. What are the key components that make up a CRS?
3. If you are working with two datasets that are stored using difference CRSs, and want to process or plot them, what do you need to do to ensure that they line up on a map and can be processed together?
4. In R, how do you check to see if two datasets are in the same CRS?

Plot 1 - Roads Map and Legend

Create a map of California roads:

1. Import the madera-county-roads/tl_2013_06039_roads.shp layer located in your week_04 data download.
2. Create a map that shows the madera roads layer, sjer plot locations and the sjer_aoi boundary (sjer_crop.shp).
3. Plot the roads so different road types are represented using unique symbology.
4. Map the plot locations by the attribute plot type using unique symbology for each “type”.
5. Add a title to your plot.
6. Adjust your plot legend.

IMPORTANT: be sure that all of the data are within the same EXTENT and crs of the sjer_aoi layer. This means that you may have to crop and reproject your data prior to plotting it!

Be sure that your plot legend is not covering your data. Use the homework lesson on base plot legends to help build the legend. Or use ggplot to create your plot.

BONUS 1 (.5 points): Use colorBrewer to Create a Color Ramp

In the lessons, I show you how to color your map by manually selecting colors. Use the RColorBrewer package to create a set of colors to use on your plot.

• R-Bloggers - using color brewer
• Color brewer documentation

BONUS 2 (.5 points): Use mapView or leaflet to create an interactive map with popups.

This tutorial may help you get started.

Submit to D2L

Submit your report in both .Rmd and .html format to the D2l week 4 dropbox by 8am. NOTE: it is OK if you’d like to submit an pdf document to D2l but pdf’s won’t support interactive maps!