Some problems and solutions in density estimation from bearing tree data: a review and synthesis

By J. Bouldin. 2008

47 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8bcad52e64b13d039ff3f603b7c9e4e05e9b23cd

How researchers see this paper

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

In Environmental Engineering

1. Hong S. He
2. D. Dey
3. Jian Yang
4. Brice B. Hanberry
5. Brian Palik
6. S. Fraver

In Global and Planetary Change

1. Hong S. He
2. D. Dey
3. Jian Yang
4. Brice B. Hanberry
5. Brian Palik
6. S. Fraver

In Nature and Landscape Conservation

1. Hong S. He
2. D. Dey
3. Jian Yang
4. Brice B. Hanberry
5. Brian Palik
6. S. Fraver

Citations in the corpus

• Spatial pattern corrections and sample sizes for forest density estimates of historical tree surveys (2010, methodology): “However, Pollard (1971) showed that the Cottam and Curtis (1956) estimator was biased mathematically and Bouldin (2008) illustrated poor performance of the Cottam and Curtis estimator for areas with non-uniform density.”