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

Papers: 10.1371/journal.pone.0208780

https://doi.org/10.1371/journal.pone.0208780

Clusters of high abundance of plants detected from local indicators of spatial association (LISA) in a semi-deciduous tropical forest

Cited by: 13
Author(s): José Ramón Martínez Batlle, Yntze van der Hoek
Published: over 6 years ago

Software Mentions 10

cran: BiodiversityR
Package for Community Ecology and Suitability Analysis
Papers that mentioned: 115
Very Likely Science (85)
cran: dplyr
A Grammar of Data Manipulation
Papers that mentioned: 1,213
Very Likely Science (100)
cran: gstat
Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Papers that mentioned: 138
Very Likely Science (100)
cran: reshape2
Flexibly Reshape Data: A Reboot of the Reshape Package
Papers that mentioned: 421
Very Likely Science (95)
cran: sp
Classes and Methods for Spatial Data
Papers that mentioned: 258
Very Likely Science (95)
cran: spatstat
Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Papers that mentioned: 172
Very Likely Science (93)
cran: spdep
Spatial Dependence: Weighting Schemes, Statistics
Papers that mentioned: 233
Very Likely Science (100)
cran: tidyr
Tidy Messy Data
Papers that mentioned: 321
Very Likely Science (100)
cran: vegan
Community Ecology Package
Papers that mentioned: 6,903
Very Likely Science (100)
pypi: sp
Quickly find out which directories / files are hogging your disk space.
Papers that mentioned: 258
Very Likely Science (65)