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Walking the hierarchy

Let's practice accessing slots by exploring the way polygons are stored inside SpatialDataFrame objects. Remember there are two ways to access slots in an S4 object: 

x@slot_name # or...
slot(x, "slot_name")

So, to take a look at the polygons slot of countries_spdf you simply do countries_spdf@polygons. You can try it, but you'll get a long and not very informative output. Let's look at the high level structure instead.

Try running the following code in the console:

str(countries_spdf@polygons, max.level = 2)

Still a pretty long output, but scroll back to the top and take a look. What kind of object is this? It's just a list, but inside its elements are another kind of sp class: Polygons. There are 177 list elements. Any guesses what they might represent?

Let's dig into one of these elements.

Este exercício faz parte do curso

Visualizing Geospatial Data in R

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Instruções do exercício

  • Create a new variable called one that contains the 169th element of the list in the polygons slot of countries_spdf. Use double bracket subsetting (i.e. [[...]] to extract this element.
  • Print one.
  • Call summary() on one. What slots does this object have?
  • Call str() on one with max.level = 2.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# 169th element of countries_spdf@polygons: one


# Print one


# Call summary() on one


# Call str() on one with max.level = 2
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