Ronald E. McRoberts

Nature and Landscape Conservation · 2005–2018

A researcher in the Science corpus: 15 papers; trusts 49 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 53 citations into it; #395 of 6,941 by trust here, #2,143 by citations
• Environmental Engineering — 50 citations into it; #258 of 5,479 by trust here, #956 by citations
• Ecology — 39 citations into it; #962 of 10,717 by trust here, #4,523 by citations
• Statistics and Probability — 29 citations into it
• Global and Planetary Change — 18 citations into it; #2,441 of 10,225 by trust here, #7,219 by citations
• Artificial Intelligence — 15 citations into it
• Insect Science — 11 citations into it; #1,370 of 2,259 by trust here, #1,729 by citations
• Ecological Modeling — 8 citations into it

Whom Ronald E. McRoberts trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Erkki Tomppo
2. J. Ohmann
3. Jérôme Chave
4. Eamonn J. Keogh
5. David W. Hosmer Jr.
6. Erik Næsset
7. Hirotugu Akaike
8. V. Lemay
9. Hector Franco-Lopez
10. John H. Holland

Who trusts Ronald E. McRoberts overall

1. Peter Wolter
2. Dengsheng Lu
3. Qi Chen
4. Erkki Tomppo
5. Philip A. Townsend
6. Erik Næsset
7. Steen Magnussen
8. Matti Maltamo
9. Terje Gobakken
10. Johannes Breidenbach

Papers from Ronald E. McRoberts's perspective

Ordered by how strongly the researchers Ronald E. McRoberts trusts endorse each paper. Same corpus, a different order for every researcher.

1. Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories
2. A Coefficient of Agreement for Nominal Scales
3. Random Forests
4. Comparison of Nearest Neighbor Methods for Estimating Basal Area and Stems per Hectare Using Aerial Auxiliary Variables (Forestry sciences)
5. Using satellite imagery as ancillary data for increasing the precision of estimates for the Forest Inventory and Analysis program of the USDA Forest Service
6. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
7. Tree allometry and improved estimation of carbon stocks and balance in tropical forests (Oecologia)
8. Statistical Inference
9. A Generalization of Sampling Without Replacement from a Finite Universe
10. Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems

Their papers

• Assessing components of the model-based mean square error estimator for remote sensing assisted forest applications (2018) — 49 citations
• Harmonic regression of Landsat time series for modeling attributes from national forest inventory data (2018) — 104 citations
• Hybrid estimators for mean aboveground carbon per unit area (2016) — 73 citations
• Optimizing the k-Nearest Neighbors technique for estimating forest aboveground biomass using airborne laser scanning data (2015) — 74 citations
• Indirect and direct estimation of forest biomass change using forest inventory and airborne laser scanning data (2015) — 83 citations
• Effects of uncertainty in model predictions of individual tree volume on large area volume estimates (2014) — 143 citations
• Inference for lidar-assisted estimation of forest growing stock volume (2013) — 184 citations
• Harmonizing national forest inventories (2012) — 89 citations
• Statistical inference for remote sensing-based estimates of net deforestation (2012) — 53 citations
• Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data (2011) — 72 citations
• Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories (2009) — 76 citations
• Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery (2009) — 84 citations
• Using satellite imagery and the k-nearest neighbors technique as a bridge between strategic and management forest inventories (2008) — 50 citations
• Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery (2007) — 214 citations
• Using satellite imagery as ancillary data for increasing the precision of estimates for the Forest Inventory and Analysis program of the USDA Forest Service (2005) — 96 citations