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Calculating fishing effort estimates in dynamic analysis reports

Calculating fishing effort estimates in dynamic analysis reports
1

Fishing effort (in hours) shown in dynamic reports is generated through a two-step process that balances speed and precision. Understanding these steps can help interpret slight differences in reported totals.

Phase 1: Initial Grid-Based Estimate (Upon Report Load)

  • When a dynamic report first loads, estimated fishing effort is calculated using heatmap data rendered as square grid cells.
  • These cells aggregate fishing activity at various resolutions based on the selected activity layer (low, medium, high) and map zoom level.
  • To determine effort within a user-defined area, the system intersects the boundary with underlying grid cells.
  • However, since grid cells don’t exactly match most area boundaries, some cells may only partially intersect the area.
  • The system calculates a range:
    • Upper bound: assumes 100% of activity in overlapping cells occurred inside the area.
    • Lower bound: assumes 0% activity in partially intersecting cells occurred inside the area.
  • The displayed estimate is a midpoint between these bounds, and the error margin reflects this uncertainty.
  • This approach enables fast, scalable summaries but may over- or under-estimate activity depending on cell alignment.

Phase 2: Vessel-Level Analysis (After Selecting ‘See Vessels’)

  • When you click “See Vessels,” the system calls the activity API (data source) to retrieve actual fishing points.
  • Each fishing point (with latitude, longitude, timestamp, and activity type) is checked against the area boundary using spatial analysis.
  • Only fishing activity within the polygon is included in the updated estimate.
  • This approach is slower but more accurate, as it eliminates assumptions from grid-based filtering.

Why Estimates May Differ

  • The refined vessel-based method typically results in slightly lower or higher totals than the initial estimate due to more precise inclusion/exclusion.
  • Differences are usually small (1–2%) but can vary depending on the complexity of the area boundary and the amount of intersecting grid cells.

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