Wallace : A flexible platform for reproducible modeling of species niches and distributions built for community expansion
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Wallace
: A flexible platform for reproducible modeling of species niches and distributions built for community expansion
Authors
Keywords
-
Journal
Methods in Ecology and Evolution
Volume 9, Issue 4, Pages 1151-1156
Publisher
Wiley
Online
2017-12-07
DOI
10.1111/2041-210x.12945
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- sdm: a reproducible and extensible R platform for species distribution modelling
- (2016) Babak Naimi et al. ECOGRAPHY
- The Biodiversity and Climate Change Virtual Laboratory: Where ecology meets big data
- (2016) Willow Hallgren et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Elevating The Status of Code in Ecology
- (2016) K.A.S. Mislan et al. TRENDS IN ECOLOGY & EVOLUTION
- BioVeL: a virtual laboratory for data analysis and modelling in biodiversity science and ecology
- (2016) Alex R. Hardisty et al. BMC ECOLOGY
- ENM Components: a new set of web service-based workflow components for ecological niche modelling
- (2015) Renato De Giovanni et al. ECOGRAPHY
- spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models
- (2015) Matthew E. Aiello-Lammens et al. ECOGRAPHY
- The Tao of open science for ecology
- (2015) Stephanie E. Hampton et al. Ecosphere
- Statistical ecology comes of age
- (2014) O. Gimenez et al. Biology Letters
- ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity forMaxentecological niche models
- (2014) Robert Muscarella et al. Methods in Ecology and Evolution
- bioclim: the first species distribution modelling package, its early applications and relevance to most currentMaxEntstudies
- (2013) Trevor H. Booth et al. DIVERSITY AND DISTRIBUTIONS
- A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter
- (2013) Cory Merow et al. ECOGRAPHY
- Making better Maxentmodels of species distributions: complexity, overfitting and evaluation
- (2013) Aleksandar Radosavljevic et al. JOURNAL OF BIOGEOGRAPHY
- Ecological niche models in phylogeographic studies: applications, advances and precautions
- (2013) Diego F. Alvarado-Serrano et al. Molecular Ecology Resources
- Troubling Trends in Scientific Software Use
- (2013) L. N. Joppa et al. SCIENCE
- Presence-only modelling using MAXENT: when can we trust the inferences?
- (2012) Charles B. Yackulic et al. Methods in Ecology and Evolution
- The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models
- (2011) William T. Bean et al. ECOGRAPHY
- SESAM - a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages
- (2011) Antoine Guisan et al. JOURNAL OF BIOGEOGRAPHY
- Moving beyond static species distribution models in support of conservation biogeography
- (2010) Janet Franklin DIVERSITY AND DISTRIBUTIONS
- A statistical explanation of MaxEnt for ecologists
- (2010) Jane Elith et al. DIVERSITY AND DISTRIBUTIONS
- Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria
- (2010) Dan L. Warren et al. ECOLOGICAL APPLICATIONS
- The art of modelling range-shifting species
- (2010) Jane Elith et al. Methods in Ecology and Evolution
- Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?
- (2009) Jeremy VanDerWal et al. ECOLOGICAL MODELLING
- openModeller: a generic approach to species’ potential distribution modelling
- (2009) Mauro Enrique de Souza Muñoz et al. GEOINFORMATICA
- Not as good as they seem: the importance of concepts in species distribution modelling
- (2008) Alberto Jiménez-Valverde et al. DIVERSITY AND DISTRIBUTIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started