Update and renumber all challenge questions in challenges.R

challenges.R

@@ -9,7 +9,7 @@
 #
 #
 # Challenge 3
-#Use GDALinfo() to determine the following about the NEON-DS-Airborne-Remote-Sensing/HARV/DSM/HARV_DSMhill.tif file:
+# Use GDALinfo() to determine the following about the NEON-DS-Airborne-Remote-Sensing/HARV/DSM/HARV_DSMhill.tif file:
 # 1.Does this file have the same CRS as DSM_HARV?
 # 2. What is the NoDataValue?
 # 3. hat is resolution of the raster data?
@@ -43,36 +43,35 @@
 # - experiment with various alpha values and color palettes to represent the data.
 # 
 
-
 # 03 Reproject Rasters in R ---------
-## Challenge 1
+
+## Challenge 6
 ## View the CRS for each of these datasets. What projection does each use?
-#
-## Challenge 2
+
+## Challenge 7
 ## Why do you think the two extents differ?
-#
-## Challenge 3
+
+## Challenge 8
 ## Create a map of the San Joaquin Experimental Range field site using the SJER_DSMhill_WGS84.tif and SJER_dsmCrop.tif files. 
-## Reproject the data as necessary to make things line up!
-## If you completed the San Joaquin plotting challenge in the Plot Raster Data in R episode, 
-## how does the map you just created compare to that map?
+## - Reproject the data as necessary to make things line up!
+## - If you completed the San Joaquin plotting challenge in the Plot Raster Data in R episode, 
+##   how does the map you just created compare to that map?
 
-# 04 Raster Calculations --------------
-## Challenge 1
+
+# 04 Raster Calculations
+
+## Challenge 9
 ## Use GDALinfo() fucntion to view information about the DTM and DSM data files. Do the two rasters have the same or different
 ## CRSs and resolutions? DO they both have defined minimum and maximum values?
-#
-#
-## Challenge 2
+
+## Challenge 10
 ## It’s often a good idea to explore the range of values in a raster dataset just like we might explore a dataset that we collected in the field.
 ## 1. What is the min and maximum value for the Harvard Forest Canopy Height Model (CHM_HARV) that we just created?
 ## 2. What are two ways you can check this range of data for CHM_HARV?
 ## 3. Plot a histogram with 6 bins instead of the default and change the color of the histogram.
 ## 4. Plot the CHM_HARV raster using breaks that make sense for the data. Include an appropriate color palette for the data, plot title and no axes ticks / labels.
-#
-#
-#
-## Challenge 3
+
+## Challenge 11
 ## Data are often more interesting and powerful when we compare them across various locations. 
 ## Let’s compare some data collected over Harvard Forest to data collected in Southern California. 
 ## The NEON San Joaquin Experimental Range (SJER) field site located in Southern California has a very different ecosystem 
@@ -86,34 +85,37 @@
 ## 4. Export the SJER CHM as a GeoTIFF.
 ## 5. Compare the vegetation structure of the Harvard Forest and San Joaquin Experimental Range.
 
+# 06 open shapefiles
 
-# 07 vector shapefile attributes -------------
+## Challenge 12
+## Using the steps above, import the HARV_roads and HARVtower_UTM18N layers into R. Call the HARV_roads object lines_HARV and the HARVtower_UTM18N point_HARV.
+## Answer the following questions:
+## 1. What type of R spatial object is created when you import each layer?
+## 2. What is the CRS and extent for each object?
+## 3. Do the files contain points, lines, or polygons?
+## 4. How many spatial objects are in each file?
 
-# Challenge 1 (RENUMBER LATER!)
-# Using the steps above, import the HARV_roads and HARVtower_UTM18N layers into R. Call the HARV_roads object lines_HARV and the HARVtower_UTM18N point_HARV.
-# Answer the following questions:
-#
-#1. What type of R spatial object is created when you import each layer?
-#2. What is the CRS and extent for each object?
-#3.Do the files contain points, lines, or polygons?
-#4. How many spatial objects are in each file?
-
-# Challenge 2 (RENUMBER LATER!)
-# Explore the attributes associated with the point_HARV and aoi_boundary_HARV spatial objects.
-# 1. How many attributes does each have?
-# 2. Who owns the site in the point_HARV data object?
-# 3. Which of the following is NOT an attribute of the point_HARV data object?
-# 4. A) Latitude B) County C) Country
-
-# Challenge 3 (RENUMBER LATER!)
+# 07 shapefile attributes
+
+## Challenge 13
+## Explore the attributes associated with the point_HARV and aoi_boundary_HARV spatial objects.
+## 1. How many attributes does each have?
+## 2. Who owns the site in the point_HARV data object?
+## 3. Which of the following is NOT an attribute of the point_HARV data object?
+##    A) Latitude 
+##    B) County 
+##    C) Country
+
+# Challenge 14
 # 1. Create a map of the state boundaries in the United States using the data located in your downloaded data folder: 
 # NEON-DS-Site-Layout-Files/US-Boundary-Layers\US-State-Boundaries-Census-2014. 
 # 2. Apply a fill color to each state using its region value. 
 # 3. Add a legend.
 
-# Challenge 4 (RENUMBER LATER!)
+# Challenge 15
 # Create a map of the North Eastern United States as follows:
 # 1. Import and plot Boundary-US-State-NEast.shp. Adjust line width as necessary.
 # 2. Layer the Fisher Tower (in the NEON Harvard Forest site) point location point_HARV onto the plot.
 # 3. Add a title.
-# 4. Add a legend that shows both the state boundary (as a line) and the Tower location point.
+# 4. Add a legend that shows both the state boundary (as a line) and the Tower location point.
+