https://github.com/boyanangelov/interpretable_sdm

Interpretable Species Distribution Modeling example

https://github.com/boyanangelov/interpretable_sdm

Science Score: 10.0%

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    Links to: zenodo.org
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    Low similarity (6.9%) to scientific vocabulary

Keywords

ecological-modelling machine-learning sdm xai
Last synced: 8 months ago · JSON representation

Repository

Interpretable Species Distribution Modeling example

Basic Info
  • Host: GitHub
  • Owner: boyanangelov
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 1.53 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
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Topics
ecological-modelling machine-learning sdm xai
Created about 6 years ago · Last pushed over 5 years ago
Metadata Files
Readme

README.md

[Last update: 24 September 2020]

R version 4.0.2 and above is required to run this example.

The sdmbench package can be downloaded with the following code (it requires the package 'devtools'):

r library(devtools) install_github("boyanangelov/sdmbench")

If you are working in a Windows environment, to install sdmbench is probably required to install Rtools40 as well. It is available at https://cran.r-project.org/bin/windows/Rtools/. For reproducibility purposes we do not obtain the dataset of African Elephant GBIF and raster data dynamically in this example, but read the datasets locally instead (stored asRDS files).

DOI

Owner

  • Name: Boyan Angelov
  • Login: boyanangelov
  • Kind: user
  • Location: Berlin, Germany

Data Strategist | Author | Researcher (Complexity, AI)

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