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Papers: 10.1371/journal.pone.0188955

https://doi.org/10.1371/journal.pone.0188955

Gbm.auto: A software tool to simplify spatial modelling and Marine Protected Area planning

Cited by: 19
Author(s): Simon Dedman, Rick Officer, Maurice Clarke, David G. Reid, Deirdre Brophy
Published: over 8 years ago

Software Mentions 15

cran: beepr
Easily Play Notification Sounds on any Platform
Papers that mentioned: 2
Very Likely Science (75)
cran: dismo
Species Distribution Modeling
Papers that mentioned: 275
Very Likely Science (85)
cran: gbm
Generalized Boosted Regression Models
Papers that mentioned: 250
Very Likely Science (100)
cran: gbm.auto
Automated Boosted Regression Tree Modelling and Mapping Suite
Papers that mentioned: 3
Very Likely Science (85)
cran: mapplots
Data Visualisation on Maps
Papers that mentioned: 20
Very Likely Science (85)
cran: mgcv
Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Papers that mentioned: 1,251
Very Likely Science (75)
cran: raster
Geographic Data Analysis and Modeling
Papers that mentioned: 561
Very Likely Science (85)
cran: rgdal
Bindings for the 'Geospatial' Data Abstraction Library
Papers that mentioned: 328
Very Likely Science (75)
cran: vegan
Community Ecology Package
Papers that mentioned: 6,903
Very Likely Science (100)
pypi: auto
auto package
Papers that mentioned: 30
Very Likely Science (65)
pypi: calibration
Papers that mentioned: 1
Unlikely Science (0)
pypi: cons
An implementation of Lisp/Scheme-like cons in Python.
Papers that mentioned: 13
Very Likely Science (80)
pypi: gbm
Read and analyze GBM data
Papers that mentioned: 250
Very Likely Science (100)
pypi: roc
XMLRPC with classes
Papers that mentioned: 7
Very Likely Science (65)
pypi: utils
A grab-bag of utility functions and objects
Papers that mentioned: 35
Very Likely Science (60)