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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1038/s41598-019-48118-z

https://doi.org/10.1038/s41598-019-48118-z

Mapping behaviorally relevant light pollution levels to improve urban habitat planning

Cited by: 16
Author(s): Aaron E. Schirmer, Caleb Gallemore, Ting Liu, Seth B. Magle, Elisabeth DiNello, Humerah Ahmed, Thomas Gilday
Published: almost 6 years ago

Software Mentions 6

cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: mclust
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Papers that mentioned: 297
Very Likely Science (85)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: suncalc
Compute Sun Position, Sunlight Phases, Moon Position and Lunar Phase
Papers that mentioned: 10
Very Likely Science (90)
cran: visreg
Visualization of Regression Models
Papers that mentioned: 89
Very Likely Science (100)
pypi: suncalc
A fast, vectorized Python port of suncalc.js
Papers that mentioned: 10
Very Likely Science (65)