Timothy G. Gregoire
Nature and Landscape Conservation · 2000–2018
A researcher in the Science corpus: 11 papers; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 69 citations into it; #3,913 of 6,941 by trust here, #2,947 by citations
- Environmental Engineering — 52 citations into it; #3,327 of 5,479 by trust here, #1,681 by citations
- Insect Science — 34 citations into it; #897 of 2,259 by trust here, #754 by citations
- Global and Planetary Change — 24 citations into it
- Ecology — 19 citations into it; #5,637 of 10,717 by trust here, #9,634 by citations
- Mechanical Engineering — 5 citations into it; #5,757 of 8,300 by trust here, #7,853 by citations
Whom Timothy G. Gregoire trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Timothy G. Gregoire overall
Papers from Timothy G. Gregoire's perspective
Ordered by how strongly the researchers Timothy G. Gregoire trusts endorse each paper. Same corpus, a different order for every researcher.
- A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach
- Hierarchical Modeling and Analysis for Spatial Data
- Statistics For Spatial Data
- Interregional nonlinear height-diameter model with random coefficients for stone pine in Spain
- A Large and Persistent Carbon Sink in the World’s Forests (Science)
- Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
- A Multiple Resource Inventory of Delaware Using Airborne Laser Data
- The origins of kriging
- Assessing effects of positioning errors and sample plot size on biophysical stand properties derived from airborne laser scanner data.
- Nonstationary multivariate process modeling through spatially varying coregionalization
Their papers
- A study on the effects of unbalanced data when fitting logistic regression models in ecology (2018) — 80 citations
- Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations (2017) — 60 citations
- Modeling height-diameter curves for prediction (2015) — 175 citations
- A simulation approach for accuracy assessment of two-phase post-stratified estimation in large-area LiDAR biomass surveys (2013) — 52 citations
- Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach (2012) — 98 citations
- Early growth and survival of 49 tropical tree species across sites differing in soil fertility and rainfall in Panama (2011) — 130 citations
- Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time. (2011) — 158 citations
- Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway (2011) — 181 citations
- Modelling tree diameter from airborne laser scanning derived variables: A comparison of spatial statistical models (2010) — 102 citations
- A geographically variable model of hemlock woolly adelgid spread (2007) — 150 citations
- Collections of Simple Effects and Their Relationship to Main Effects and Interactions in Factorials (2000) — 71 citations