On tree intensity estimation for forest inventories: Some statistical issues
comunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
comunitat-uji-handle4:
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http://dx.doi.org/10.1002/bimj.201000193 |
Metadatos
Título
On tree intensity estimation for forest inventories: Some statistical issuesFecha de publicación
2011-11Editor
WileyCita bibliográfica
COMAS RODRÍGUEZ, Carlos; MATEU, Jorge; DELICADO, Pedro. On tree intensity estimation for forest inventories: Some statistical issues. Biometrical Journal (2011), v. 53, issue 6, pp. 994-1010Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://onlinelibrary.wiley.com/doi/10.1002/bimj.201000193/fullVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The effect of the plot shape, number of subplots and their spatial arrangement on the sample variance
for spatially explicit point populations is analysed for a simple intensity estimator. We derive the
sample variance ... [+]
The effect of the plot shape, number of subplots and their spatial arrangement on the sample variance
for spatially explicit point populations is analysed for a simple intensity estimator. We derive the
sample variance and covariance for sampling designs involving more than one subplot. Some nu-
merical approximations are also presented. If a clustered point pattern has to be sampled, the best
strategy to reduce the sample variance is to consider as many rectangular subplots as possible, for a
prescribed total sample area, distributed over a grid. In contrast, if a regular point pattern is to be
sampled, then a single circular subplot should be considered. If we assume that the point config-
uration is Poisson, then we can consider any subplot shape and spatial distribution ensuring no
overlapping between the subplots. A case study in forestry is considered to assess the validity of our
results [-]
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Biometrical Journal (2011), v. 53, issue 6Derechos de acceso
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