Abstract
Sector plots are fixed-angle “sector-shaped” samples of objects, typically in small irregular polygons, with a central ray extending from sector vertex or pivot point to polygon boundary. If the number of objects in the sector plot is very high, a subsample may be used. The sector angle can be reduced, or small fixed-area “subplots” can be installed along the central ray. The simplicity of subplot establishment is offset by additional computations that are avoided in the full sector plots. Specifically, to compute ray means or totals, trees in the plots must be weighted by the distance from the pivot point. When several rays are sampled in the same polygon, the ray totals or means should be weighted by the squared number of plots along the ray. Finally, polygon edge overlap with plots may also need correction. Different sampling strategies to avoid bias and increase efficiency are discussed. The sampling design is new to forestry and may have novel statistical applications such as subsampling dense natural regeneration.
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