๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Estimating predictions, prediction errors and their standard deviations using constructed variables

โœ Scribed by A.R. Pagan; D.F. Nicholls


Book ID
107949899
Publisher
Elsevier Science
Year
1984
Tongue
English
Weight
994 KB
Volume
24
Category
Article
ISSN
0304-4076

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Predicting categorical forest variables
โœ Erkki O. Tomppo; Caterina Gagliano; Flora De Natale; Matti Katila; Ronald E. McR ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 939 KB

The k-Nearest Neighbour (k-NN) estimation and prediction technique is widely used to produce pixel-level predictions and areal estimates of continuous forest variables such as area and volume, often by subcategories such as species. An advantage of k-NN is that the same parameters (e.g., k-value, di