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Sample Design: Puget Sound Mussel Monitoring Pilot
  • ID: 410
  • State: Finalized
  • Owner: Jennifer Lanksbury
  • Collaborator(s): None
  • Spatial Design Category: Generalized Random Tessellation Stratified (GRTS)
  • Sites in Design: 2048
  • Has Location Privacy: No
  • Data Repository: <none>
  • Version History: v1.0 Finalized (3/23/2015)

The details of this Sample Design, including all the parameters used to generate it, are included below. Sample designs must belong to a Study Plan.


This design is based on the Puget Sound UGA Shoreline Master Sample, which has a density of 30m.  For this design, 30m is too dense since the implementation teams wish to have the flexibility to move the site up to 400m in either direction to accommodate anticipated difficulties in gaining landowner permission.  If no willing landowner within 400m of the X-site could be located, the site will be rejected and the next available oversample will be evaluated. The intent is to create a random draw from a population of sites that each represent an average of 800 meters of shoreline.
The decision to use 800 m lengths of shoreline for mussel contamination sampling was based on criteria used by the National Centers for Coastal Ocean Science’s COAST National Status & Trends Mussel Watch Contaminant Monitoring program, and was supported by results from the Tacoma Pierce County Health Department's "Mussel Watch Gradient Report, Hylebos Waterway and Ruston Way" (Callahan, Hanowell, Jensen, 2014), a study conducted in collaboration with the Washington Department of Fish and Wildlife (WDFW).
The Master Sample contains 22,797 sites at 30 meters, for a frame length of 683.91km.  Dividing the frame length by 800m yields approximately 855 sites, each representing on average an 800m segment of UGA shoreline.
Since this is a one year pilot, a single panel for a single year was created and 855 sites were requested from the original draw.  The GRTS algorithm added 1,193 sites as oversamples for a total selection of 2,048 sites. The GRTS-computed weight for each site is 799.8942m.
The intention of the pilot study is to monitor 40 locations in 2015. These sites will be selected by proceeding through the 855 sites in this draw in GRTS use order, evaluating each for landowner permission, target status, and safety. Any site rejected for any of these reasons will have the rejection reason recorded and a replacement site will be selected from the list of oversamples provided by GRTS, again in use order.

Sample Design Parameters

Start Year


Initiation Year


Retirement Year


Study Plan


Data Repositories






Map of Sites

  • Stratum
  • Panel
  • Occasion

Area of Inference


AOI Notes


This sample design is based on master sample: Puget Sound UGA Shoreline

Details of this master sample:

  • Source: ESA Sitka
  • # of sites: 22797
  • Type: Linear Master Sample


This sample design started with an initial frame of 22,797 sites, based on its master sample. The criteria (based on the master sample's attributes) were then used to refine the sample frame down to 22,797 sites:

Criteria Group 1
  UGA Indicator Is Equal To Y

Target Population

All shoreline in Puget Sound UGA boundaries.

Panel designs can help address sampling objectives by increasing the total number of samples at a lower overall cost. A common panel structure involves one or more panels with a high revisit frequency (e.g. an “Annual” panel), and other panels with a lower revisit frequency (e.g. a three year “Rotating” panel).

Panel Sampling Occasion (1 Year(s)) Planned #
Of Sites
# Panel Name Panel Abbr. 1
Pilot Year
Planned # of Sites per 1 Year(s) 0 0
Total Planned Number Of Sites


Below is the complete list of sample sites that were drawn using the criteria for this sample design.

Number of sites before generating the GRTS sample: 22,797
Number of sites after generating the GRTS sample: 2,048
Number of oversamples: 1,193
Number of panels: 1
Number of strata: 1




The histogram charts below show the distribution of this sample design’s sites across the various panels and strata.

  Schema   Attribute   Description


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