Sampling Design Learning Objectives

After completing this module, students will be able to

  • Describe the elements of sampling designs (population or area of interest, attribute, measurement method, positioning sampling units in the landscape, sampling unit type and dimensions, sample size, and sub-sampling intensity) and explain how each element fits into the overall design in order to meet management and sampling objectives.
  • Explain why and how vegetation characteristics influence the choice of sampling unit type, sampling unit dimensions, sample size, and how sampling units are positioned in the landscape.
  • Differentiate between the following between approaches to positioning sampling units in the landscape: random, stratified random, systematic, restricted random, cluster sampling, and double sampling.
  • Explain how the components of sampling objectives (confidence level and desired level of precision) influence sample size.
  • Given a sampling scenario, be able to apply different approaches to positioning sampling units using a variety of sampling schemes, and interpret the implications of using the different schemes in light of management and sampling objectives.