Notice of RetractionApplication of Spatial Balanced Sampling on forest resources inventory

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

There are a lot of uncertainties existing in the traditional sampling methods of forest resources inventory. The presence of these uncertainties will reduce the sampling precision and the representation of the sample point on the whole. Under this background, Spatial Balanced Sampling (SBS) arises, which dramatically reduces the effects caused by the sampling frame change and non-response sampling units. This paper, by the method of Analysis Hierarchy Process (AHP) model for selecting the sampling program, analyzes the scenic beauty value of scenic forest in Nanjing Zijin Mountain and concludes that SBS should be selected to analyze the case. Meanwhile, by comparison between Spatial Balanced Sampling and traditional sampling methods, we draw some relative conclusions.