Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1186/s13071-021-04851-x

https://doi.org/10.1186/s13071-021-04851-x

Cited by: 9
Author(s): Paul Taconet, Angélique Porciani, Dieudonné Diloma Soma, Karine Mouline, Frédéric Simard, Alphonsine A. Koffi, Cédric Pennetier, Roch K. Dabiré, Morgan Mangeas, Nicolas Moiroux
Published: almost 3 years ago

Software Mentions 21

cran: caret
Classification and Regression Training
Papers that mentioned: 630
cran: CAST
'caret' Applications for Spatial-Temporal Models
Papers that mentioned: 219
cran: ggmap
Spatial Visualization with ggplot2
Papers that mentioned: 213
cran: iml
Interpretable Machine Learning
Papers that mentioned: 14
cran: landscapemetrics
Landscape Metrics for Categorical Map Patterns
Papers that mentioned: 12
cran: MLmetrics
Machine Learning Evaluation Metrics
Papers that mentioned: 11
cran: pdp
Partial Dependence Plots
Papers that mentioned: 16
cran: precrec
Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves
Papers that mentioned: 14
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
cran: ranger
A Fast Implementation of Random Forests
Papers that mentioned: 91
cran: raster
Geographic Data Analysis and Modeling
Papers that mentioned: 561
cran: rgdal
Bindings for the 'Geospatial' Data Abstraction Library
Papers that mentioned: 328
cran: rgrass7
Deprecated Interface Between GRASS Geographical Information System and R
Papers that mentioned: 4
cran: RSAGA
SAGA Geoprocessing and Terrain Analysis
Papers that mentioned: 8
cran: sf
Simple Features for R
Papers that mentioned: 125
cran: spatstat
Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Papers that mentioned: 172
cran: tidyverse
Easily Install and Load the 'Tidyverse'
Papers that mentioned: 1,023
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
pypi: iml
Interpretable Machine Learning (iML) package. Explain the predictions of any model.
Papers that mentioned: 14
pypi: pdp
Build fast data processing pipelines easily
Papers that mentioned: 16
pypi: ranger
A Python package for the manipulation of Range objects
Papers that mentioned: 91