Final answer:
An example of quantitative spatial information is population density per square mile, which is a quantitative discrete data type that represents countable people per unit area. Quantitative data is essential in geography for analyzing spatial trends and patterns.
Step-by-step explanation:
An example of quantitative spatial information is a) Population density per square mile. This kind of data involves numerical measurements that describe how many people live in a unit area of space. Quantitative data may be discrete or continuous and is fundamental in geography for understanding and analyzing spatial trends and patterns. For instance, population density is a quantitative discrete data type, as it represents the number of individuals per square mile, and the value is a countable quantity.
The number of times per week people use a local park is another example of quantitative discrete data (b), while the duration of time spent at the park is quantitative continuous data (c). The sampling method used in studying park users is b. systematic, as it involves a fixed interval selection process. The colors of the houses around the park represent qualitative (categorical) data because they describe attributes that are not numerical (a).