NearestNeighborBibliography.doc
© 2011, Timothy G. Gregoire, Yale University
Last revised: March 2011
Nearest Neighbor Bibliography
(35 entries)
1. Bartlett, M.S. 1978. “Nearest neighbor models in the analysis of field experiments.” Journal
of the Royal Statistical Society B. 40(2): 147 – 174.
2. Fix, E. and Hodges, J.L. Jr. 1989. “Discriminatory analysis - Nonparametric discrimination:
Consistency properties.” International Statistical Review 57(3): 238 – 247.
3. Congalton, R. G. 1991. “A review of assessing the accuracy of classifications of remotely
sensed data.” Remote Sensing of Environment 37:35-46
4. Braak, C. J. F ter. 1995. “Non-Linear methods for multivariate statistical calibration and their
use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares
and weighted averaging partial least squares) and classical approaches.” Chemometrics and
Intelligent Laboratory Systems 28:165-180.
5. Moeur, M. and Stage, A.R. 1995. “Most similar neighbor: An improved sampling inference
procedure for natural resource planning.” Forest Science 41(2): 337 – 359.
6. Maltamo, M. and Kangas, A. 1998. “Methods based on k-nearest neighbor regression in the
prediction of basal area diameter distribution.” Canadian Journal of Forest Resources 28:
1107 – 1115.
7. Tommola, M. et al 1999. “Estimating the characteristics of a marked stand using k-nearest
neighbor regression.” Journal of Forest Engineering: 75 – 81.
8. Tomppo, E., Goulding, C., and Katila, M. 1999. “Adapting Finnish multi-source forestry
inventory techniques to the New Zealand preharvest inventory.” Scandinavian Journal of
Forest Resources 14: 182 -192.
9. Dixon, P.M. 2000. “Nearest neighbor methods.” Department of Statistics, Iowa State
University. 23 p
10. Estevao, V. M. and Särndal, C.-E. (2000). “A functional form approach to calibration.”
Journal of Official Statistics 16(4):379-399.
11. Maltamo, M. and Eerikainen, K. 2001. “The most similar neighbor reference in the yield
prediction of Pinus kesiya stands in Zambia.” Silva Fennica 35(4): 437 – 451.
12. McRoberts, R.E. 2001. “Imputation and model-based updating techniques for annual forest
inventories.” Forest Science 47(3): 322 – 330.
13. Muinonen, E. et al 2001. “Forest stands characteristics estimation using most similar
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NearestNeighborBibliography.doc
© 2011, Timothy G. Gregoire, Yale University
neighbor approach and image spatial structure information.” Remote Sensing of Environment
78: 223- 228.
14. Sironen,S., Kangas, A., Maltamo, M. and Kangas, J. 2001. “Estimating individual tree
growth with the nearest k-nearest neighbor and k-most similar neighbor methods.” Silva
Fennica 35(4): 453 – 467.
15. Tuominen, S. and Poso. 2001. “Improving Multi-Source Forest Inventory by Weighting
Auxiliary Data Sources.” Silva Fennica 35(2):203-214
16. McRoberts, R.E., Nelson, M.D. and Wendt, D.G. 2002. “Stratified estimates of forest area
using the k-nearest neighbors technique and satellite imagery.” In Proceedings of the third
annual forest inventory and analysis symposium (McRoberts, R.E. et al eds.). Traverse City,
Michigan, October 17-19, 2001.
17. Malinen, J., Maltamo, M., and Verkasalo, E. 2003. “Predicting the internal quality and value
of Norway spruce trees by using two non-parametric nearest neighbor methods.” Forest
Products Journal 53(4): 85 – 94.
18. Maltamo, M. et al 2003. “Most similar neighbour-based stand variable estimation for use in
inventory by compartments in Finland.” Forestry 76(4): 449 – 463.
19. Temesgen, H. 2003. “Estimating stand tables from aerial attributes: a comparison of
parametric prediction and most similar neighbor methods.” Scandinavian Journal of Forest
Resources 18: 279 - 288
20. LeMay, V. and Temesgen, H. 2005. “Comparison of nearest neighbor methods for estimating
basal area and stems per hectare using aerial auxiliary variables.” Forest Science 51(2): 109
– 119
21. McRoberts, R. E. and Finley, A. O. 2005. “Variance Approximations for Model-Based
Inferences.” 12pp
22. McRoberts, R. E. 2006. “A model-based approach to estimating forest area.” Remote Sensing
of Environment 103:56-66
23. Ouyang, D., Li, D., and Li, Q. 2006. “Cross-validation and non-parametric k nearestneighbor estimation.” Econometrics Journal 9: 448- 471
24. Gjestern, A. K. 2007. “Accuracy of Forest mapping based on Landsat TM data and a Knnbased method.” Remote Sensing of Environment 110:420-430
25. McRoberts, R. E., Tomppo, E. O., Finley, A. O. and Heikkein, J. 2007. “Variance estimation
for the K-Nearest Neighbours technique.” JSM 50pp.
26. Eskelson, B. N. I., Temesgen, H. and Barret, T. M. 2008. “Comparison of stratified and non-
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© 2011, Timothy G. Gregoire, Yale University
stratified most similar neighbour imputation for estimating stand tables.” Forestry 125-133
27. Magnussen, S., Picard, N., and Kleinn, C. 2008. “A Gamma-Poisson distribution of point k
nearest event distance.” Forest Science 54(4): 429 – 441.
28. Baffetta, F., Fattorini, L., Franceschi, S. and Corona, P. 2009. “Design-based approach to knearest neighbors technique for coupling field and remotely sensed data in forest surveys.”
Remote Sensing of Environment 113:463-475
29. Barth, A., Wallerman, J. and Ståhl, G. 2009. “Spatially consistent nearest neighbor
imputation of forest stand data.” Remote Sensing of Environment 113:546-553.
30. Eskelson, B. N. I., Barret, T. M. and Temesgen, H. 2009. “Imputing Mean Annual Change to
Estimate Current Forest Attributes.” Silva Fennica 43(4):649-658
31. Eskelson, B. N. I., Temesgen, H., Lemay, V., Barret, T. M.,Crookston, N. L. and Hudak, A.
T. 2009. “The roles of nearest neighbor methods in imputing missing data in forest inventory
and monitoring databases.” Scadinavian Journal of Forest Research 24:235-246
32. Magnussen, S., McRoberts, R. E., Tomppo, E. 2009. “Model-based mean square error
estimators for k-nearest neighbour predictions and applications using remotely sensed data
for forest inventories.” Remote Sensing of Environment 113:476-488
33. McRoberts, R. E. 2009. “A two-step nearest neighbours algorithm using satellite imagery for
predicting forest structure within species composition classes.” Remote Sensing of
Environment 113:532-545
34. McRoberts, R. E. 2009. “Diagnostic tools for neighbors techniques when used with satellite
imagery.” Remote Sensing of Environment 113:489-499
35. Tomppo, E., Gagilano, C., De Natale, F., Katila, M. and McRoberts, R. E. 2009. “Predicting
categorical forest variables using an approved k-Nearest Neighbour estimator and Landsat
imagery.” Remote Sensing of Environment 113:500-517
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