Area sampling
Area sampling, also known as areal sampling, is a method used in statistics to gather data by dividing a geographical area into smaller sub-units or segments. This technique is commonly used in environmental studies, market research, and population surveys.
One common example of area sampling is when researchers divide a city into different neighborhoods and then randomly select a certain number of neighborhoods to survey. This allows them to gather information about the entire city population without having to survey every single individual.
Another example is in forestry management, where a forest area is divided into plots and a sample of trees is measured in each plot to estimate the overall health and growth of the forest.
Area sampling is a cost-effective and efficient way to gather data, as it reduces the time and resources needed to collect information compared to other sampling methods.
- Advantages of area sampling:
- Efficiency: It allows for the collection of data from a large area without having to survey every single unit.
- Cost-effective: It reduces the resources needed for data collection.
- Time-saving: It saves time compared to other sampling methods.
Overall, area sampling is a valuable tool in statistics and research, providing researchers with a practical and reliable way to gather data from large geographical areas.
For more information on area sampling, you can visit Wikipedia.