Lauri Mehtätalo

Nature and Landscape Conservation · 2004–2020

A researcher in the Science corpus: 10 papers; trusts 23 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 72 citations into it; #463 of 6,941 by trust here, #3,125 by citations
• Environmental Engineering — 62 citations into it; #1,623 of 5,479 by trust here, #2,998 by citations
• Insect Science — 25 citations into it
• Mechanical Engineering — 18 citations into it; #328 of 8,300 by trust here, #4,353 by citations
• Global and Planetary Change — 17 citations into it; #817 of 10,225 by trust here, #5,940 by citations
• Statistics and Probability — 16 citations into it
• Ecology — 10 citations into it
• Plant Science — 7 citations into it

Whom Lauri Mehtätalo trusts overall

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

1. Matti Maltamo
2. Annika S. Kangas
3. Erik Næsset
4. Charles E. McCulloch
5. William N. Venables
6. Q. V. Cao
7. Hailemariam Temesgen
8. Rafael Calama
9. B. D. Ripley
10. Krishna P. Poudel

Who trusts Lauri Mehtätalo overall

1. Hailemariam Temesgen
2. Mahadev Sharma
3. Ram P. Sharma
4. Guillermo Trincado
5. Matthias Schmidt
6. Hao Zang
7. Sergio de-Miguel
8. J. Parton
9. Z. Vacek
10. Harold E. Burkhart

Papers from Lauri Mehtätalo's perspective

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

1. Mixed-Effects Models in S and S-Plus
2. Modern Applied Statistics With S
3. Interregional nonlinear height-diameter model with random coefficients for stone pine in Spain
4. Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine stands
5. Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
6. DEM Generation from Laser Scanner Data Using Adaptive TIN Models
7. Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data
8. A Flexible Growth Function for Empirical Use
9. Beta Regression in R
10. Development of ecoregion-based height–diameter models for white spruce in boreal forests

Their papers

• Mixed-effects generalized height–diameter model for young silver birch stands on post-agricultural lands (2020) — 82 citations
• Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data (2017) — 73 citations
• Modeling height-diameter curves for prediction (2015) — 175 citations
• Characterizing forest structural types and shelterwood dynamics from Lorenz-based indicators predicted by airborne laser scanning (2013) — 62 citations
• Parameter recovery vs. parameter prediction for the Weibull distribution validated for Scots pine stands in Finland (2013) — 60 citations
• Evaluating marginal and conditional predictions of taper models in the absence of calibration data (2012) — 95 citations
• Comparing individual tree detection and the area-based statistical approach for the retrieval of forest stand characteristics using airborne laser scanning in Scots pine stands (2011) — 72 citations
• Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland (2009) — 90 citations
• Height-diameter models for Scots pine and birch in Finland (2005) — 52 citations
• A longitudinal height-diameter model for Norway spruce in Finland (2004) — 104 citations