Auto-Sampling Strategy

Generate an automated sampling strategy that tells you where data will be collected across your project area.

What is Auto-Sampling?

Auto-sampling uses algorithms to determine optimal data collection points based on your habitat map and project requirements. This ensures representative coverage and efficient use of field resources.

Creating an Auto-Sampling Strategy

1. Navigate to your project's Sampling section
2. Click "Create Auto-Sampling Strategy"
3. Configure the sampling parameters:

Sampling Parameters

• Sampling Method: Choose from:

  • Random stratified sampling
  • Systematic grid sampling
  • Stratified random sampling by habitat type
  • Adaptive sampling

• Sample Density: Set how many points per unit area

  • Can vary by habitat type
  • Higher density for priority areas

• Minimum Distance: Set minimum spacing between points

  • Prevents clustering
  • Ensures efficient field work

• Habitat Stratification:

  • Sample proportionally across habitat types
  • Ensure rare habitats are represented
  • Weight by conservation priority

Reviewing the Strategy

After generation, review the sampling points:

• Map View: See all proposed collection points
• Statistics: View distribution by habitat type
• Coverage Analysis: Check spatial coverage

Editing the Strategy

You can edit your sampling strategy to:

• Add or remove points
• Adjust point locations
• Modify sampling density
• Exclude specific areas

Next Steps

Once satisfied with your sampling strategy, create collection events to organize when and how data will be collected.