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: 10.7717/peerj.5518

https://doi.org/10.7717/peerj.5518

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

Cited by: 419
Author(s): Tomislav Hengl, Madlene Nussbaum, Marvin N. Wright, G.B.M. Heuvelink, Benedikt Gräler
Published: about 6 years ago

Software Mentions 13

cran: gdistance

Distances and Routes on Geographical Grids
Papers that mentioned: 46

cran: geoR

Analysis of Geostatistical Data
Papers that mentioned: 102

cran: gstat

Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Papers that mentioned: 138

cran: IntegratedMRF

Integrated Prediction using Uni-Variate and Multivariate Random Forests
Papers that mentioned: 1

cran: mlr

Machine Learning in R
Papers that mentioned: 64

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: sp

Classes and Methods for Spatial Data
Papers that mentioned: 258

pypi: gdistance

Python package for the gdistance
Papers that mentioned: 46

pypi: mlr

Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Papers that mentioned: 64

pypi: ranger

A Python package for the manipulation of Range objects
Papers that mentioned: 91

pypi: sp

Quickly find out which directories / files are hogging your disk space.
Papers that mentioned: 258