Edge-correction needs in estimating indices of spatial forest structure

177 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Evaluating the behaviour of vertical structure indices in Scots pine forests (2009, methodology): “Indices accounting for tree positions require edge correction methods (Pommerening and Stoyan, 2006).”
Forest Growth and Yield Modeling (2011, background): “Pommerening and Stoyan (2006) reviewed various methods proposed for edge-correction of spatially dependent indices and found that the best method was dependent on the arrangement of trees within a stand.”
Ecological information from spatial patterns of plants: insights from point process theory (2009, methodology): “One possibility is to make no edge correction, which is suitable for the estimation of indices such as Pielou’s index or the ClarkEvans index when the window and the number of points are large (Pommerening & Stoyan 2006).”
The contribution of structural indices to the modelling of Sitka spruce (Picea sitchensis) and birch (Betula spp.) crowns (2008, methodology): “Many existing crown models could be used as the basis for further tests (e.g. Gill et al., 2000; Pretzsch et al., 2002).”
A permutation test of spatial randomness: application to nearest neighbour indices in forest stands (2010, methodology): “To eliminate the edge effect and to improve the accuracy of the estimates, we implemented the nearest neighbour edge-correction concept (NN1) proposed by Pommerening and Stoyan (2006) for calculating CE, W and R.”