Combining filter and embedded approaches to improve variable selection in land use change Cellular Automata models

Feature selection
Random Forests
Land use change modelling
11th International Environmental Modelling and Software Society conference.
Author

Ben Black

Published

July 1, 2022

These are the slides for a presentation I gave on the application of feature selection as part of calibration of land use change cellular automata at the11th International Environmental Modelling and Software Society (IEMSs) 2022 conference. The presentation abstract is available on here.

Citation

BibTeX citation:
@online{black2022,
  author = {Black, Ben},
  title = {Combining Filter and Embedded Approaches to Improve Variable
    Selection in Land Use Change {Cellular} {Automata} Models},
  date = {2022-07-01},
  url = {https://blenback.github.io/presentations/2022_07_01_IEMSs_model_pres},
  langid = {en}
}
For attribution, please cite this work as:
Black, Ben. 2022. “Combining Filter and Embedded Approaches to Improve Variable Selection in Land Use Change Cellular Automata Models.” July 1, 2022. https://blenback.github.io/presentations/2022_07_01_IEMSs_model_pres.