https://github.com/JavierLopatin/SpeciesRichness-GLMvsRF-LiDAR

R-codes for: Lopatin, J., Dolos, K., Hernández, J., Galleguillos, M., Fassnacht, F. E. (2016): Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Remote Sensing of Environment 173, pp. 200–210. 10.1016/j.rse.2015.11.029
https://github.com/JavierLopatin/SpeciesRichness-GLMvsRF-LiDAR

Last synced: about 2 months ago
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R-codes for: Lopatin, J., Dolos, K., Hernández, J., Galleguillos, M., Fassnacht, F. E. (2016): Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Remote Sensing of Environment 173, pp. 200–210. 10.1016/j.rse.2015.11.029

• Host: GitHub
• URL: https://github.com/JavierLopatin/SpeciesRichness-GLMvsRF-LiDAR
• Owner: JavierLopatin
• Created: 2015-11-12T22:08:26.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2018-01-04T13:16:06.000Z (about 7 years ago)
• Last Synced: 2024-08-04T03:05:59.097Z (5 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 2.89 MB
• Stars: 4
• Watchers: 2
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-earthobservation-code - SpeciesRichness-GLMvsRF-LiDAR - `R`-codes for: Lopatin, J., Dolos, K., Hernández, J., Galleguillos, M., Fassnacht, F. E. (2016): Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Remote Sensing of Environment 173, pp. 200–210. 10.1016/j.rse.2015.11.029 (Resources for `R` / Testing your code)

README

        
![alt text](https://github.com/JavierLopatin/SpeciesRichness-GLMvsRF-LiDAR/blob/master/paper.PNG)

### The paper may be found in [ScienceDirect](http://www.sciencedirect.com/science/article/pii/S0034425715302169), or in [ResearchGate](https://www.researchgate.net/publication/286048786_Comparing_Generalized_Linear_Models_and_random_forest_to_model_vascular_plant_species_richness_using_LiDAR_data_in_a_natural_forest_in_central_Chile).

 

### A executable version of the paper using Jupyter Notebooks can be found [here](https://github.com/JavierLopatin/SpeciesRichness-GLMvsRF-LiDAR/blob/master/Publication_Notebook.ipynb).

### The R-codes can be found [here](https://github.com/JavierLopatin/SpeciesRichness-GLMvsRF-LiDAR/tree/master/R-scripts).

### A interactive version of the richness prediction maps can be found [here](https://htmlpreview.github.io/?https://github.com/JavierLopatin/SpeciesRichness-GLMvsRF-LiDAR/blob/master/Interactive_prediction_maps.html).