Exercise 2: Nested logit model
https://cran.r-project.org/web/packages/mlogit/vignettes/e2nlogit.html Kenneth Train and Yves Croissant 2019-07-22 The data set HC from mlogit contains data in R format on the choice of heating and central…
View More Exercise 2: Nested logit modelJ10. Quantifying Spatiotemporal Post‐Disturbance Recovery Using Field Inventory, Tree Growth, and Remote Sensing
Forest recovery following a disturbance lasts decades to centuries, and the rate depends on pre‐and post‐disturbance condition and local environmental factors. Existing approaches of field…
View More J10. Quantifying Spatiotemporal Post‐Disturbance Recovery Using Field Inventory, Tree Growth, and Remote Sensing