Why might secondary data be unsuitable for a study area if it covers a larger region?

Why might secondary data be unsuitable for a study area if it covers a larger region?

• A. Information may include a larger area than your study area.
• B. It always matches your study boundary exactly.
• C. It never exceeds the study area.
• D. It is always collected locally.

Answer: (A)

The main idea is about scale and relevance of data. When secondary data cover a larger region than your study area, the information is aggregated over a bigger space, so it may not reflect what's happening locally. Numbers for a whole region can mask local variations, include data from outside your boundaries, and be inappropriate to apply directly to your smaller area. That mismatch in spatial scale makes the data unsuitable for precise analysis of the study area. The other possibilities aren’t as accurate because secondary data do not have to match your boundary exactly, they can exceed it, and they aren’t necessarily collected locally.

The main idea is about scale and relevance of data. When secondary data cover a larger region than your study area, the information is aggregated over a bigger space, so it may not reflect what's happening locally. Numbers for a whole region can mask local variations, include data from outside your boundaries, and be inappropriate to apply directly to your smaller area. That mismatch in spatial scale makes the data unsuitable for precise analysis of the study area.

The other possibilities aren’t as accurate because secondary data do not have to match your boundary exactly, they can exceed it, and they aren’t necessarily collected locally.