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: 10.1371/journal.pone.0151935

https://doi.org/10.1371/journal.pone.0151935

Novel and Lost Forests in the Upper Midwestern United States, from New Estimates of Settlement-Era Composition, Stem Density, and Biomass

Cited by: 48
Author(s): Simon Goring, David J. Mladenoff, Charles V. Cogbill, Sydne Record, Christopher J. Paciorek, Stephen T. Jackson, Michael C. Dietze, Andria Dawson, Jaclyn Hatala Matthes, J. S. McLachlan, John W. Williams
Published: almost 8 years ago

Software Mentions 17

cran: cluster
"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Papers that mentioned: 416
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
cran: gridExtra
Miscellaneous Functions for "Grid" Graphics
Papers that mentioned: 298
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
cran: mgcv
Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Papers that mentioned: 1,251
cran: plyr
Tools for Splitting, Applying and Combining Data
Papers that mentioned: 468
cran: raster
Geographic Data Analysis and Modeling
Papers that mentioned: 561
cran: reshape2
Flexibly Reshape Data: A Reboot of the Reshape Package
Papers that mentioned: 421
cran: rgdal
Bindings for the 'Geospatial' Data Abstraction Library
Papers that mentioned: 328
cran: rgeos
Interface to Geometry Engine - Open Source ('GEOS')
Papers that mentioned: 144
cran: sp
Classes and Methods for Spatial Data
Papers that mentioned: 258
cran: spdep
Spatial Dependence: Weighting Schemes, Statistics
Papers that mentioned: 233
cran: statmod
Statistical Modeling
Papers that mentioned: 55
pypi: cluster

Papers that mentioned: 416
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
pypi: plyr
UNKNOWN
Papers that mentioned: 468
pypi: sp
Quickly find out which directories / files are hogging your disk space.
Papers that mentioned: 258