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_09-ex.Rmd

@@ -27,6 +27,7 @@ nlcd = rast(system.file("raster/nlcd.tif", package = "spDataLarge"))
 ```
 
 E1. Create a map showing the geographic distribution of the Human Development Index (`HDI`) across Africa with base **graphics** (hint: use `plot()`) and **tmap** packages (hint: use `tm_shape(africa) + ...`).
+
     - Name two advantages of each based on the experience.
     - Name three other mapping packages and an advantage of each.
     - Bonus: create three more maps of Africa using these three other packages.
@@ -85,6 +86,7 @@ tmap_arrange(ahdi, asubregions)
 ```
 
 E4. Create a land cover map of the Zion National Park.
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     - Change the default colors to match your perception of the land cover categories
     - Add a scale bar and north arrow and change the position of both to improve the map's aesthetic appeal
     - Bonus: Add an inset map of Zion National Park's location in the context of the Utah state. (Hint: an object representing Utah can be subset from the `us_states` dataset.) 
@@ -148,6 +150,7 @@ print(inset, vp = ins_vp)
 ```
 
 E5. Create facet maps of countries in Eastern Africa:
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     - With one facet showing HDI and the other representing population growth (hint: using variables `HDI` and `pop_growth`, respectively)
     - With a 'small multiple' per country
 
@@ -163,6 +166,7 @@ tm_shape(ea) +
 ```
 
 E6. Building on the previous facet map examples, create animated maps of East Africa:
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     - Showing each country in order
     - Showing each country in order with a legend showing the HDI
 
@@ -185,6 +189,7 @@ browseURL("tma2.gif")
 ```
 
 E7. Create an interactive map of HDI in Africa:
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     - With **tmap**
     - With **mapview**
     - With **leaflet**
@@ -208,6 +213,7 @@ leaflet(africa4326) |>
 ```
 
 E8. Sketch on paper ideas for a web mapping app that could be used to make transport or land-use policies more evidence based:
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     - In the city you live, for a couple of users per day
     - In the country you live, for dozens of users per day
     - Worldwide for hundreds of users per day and large data serving requirements
@@ -223,6 +229,7 @@ Worldwide, a database to serve the data would likely be needed. Then various fro
 ```
 
 E9. Update the code in `coffeeApp/app.R` so that instead of centering on Brazil the user can select which country to focus on:
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     - Using `textInput()`
     - Using `selectInput()`