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Opportunities for improved distribution modelling practice via a strict maximum likelihood interpretation of MaxEnt
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS
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Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/s10530-009-9597-yopenalex-snapshot
Climate change increases risk of plant invasion in the Eastern United States
inferredcites →https://doi.org/10.1016/0016-0032(59)90368-0openalex-snapshot
Information theory and statistics
inferredcites →https://doi.org/10.1016/j.biocon.2013.07.041openalex-snapshot
Using ecological niche models to infer the distribution and population size of parakeets in New Caledonia
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.03.026openalex-snapshot
Maximum entropy modeling of species geographic distributions
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.10.003openalex-snapshot
Constrain to perform: Regularization of habitat models
inferredcites →https://doi.org/10.1016/j.ecolmodel.2006.05.016openalex-snapshot
Effects of sample survey design on the accuracy of classification tree models in species distribution models
inferredcites →https://doi.org/10.1016/j.ecolmodel.2006.05.017openalex-snapshot
Evaluating the ability of habitat suitability models to predict species presences
inferredcites →https://doi.org/10.1016/j.ecolmodel.2006.07.005openalex-snapshot
Species distribution models and ecological theory: A critical assessment and some possible new approaches
inferredcites →https://doi.org/10.1016/j.ecolmodel.2011.04.011openalex-snapshot
Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent
inferredcites →https://doi.org/10.1016/j.ecolmodel.2011.12.020openalex-snapshot
A simple post-hoc method to add spatial context to predictive species distribution models
inferredcites →https://doi.org/10.1016/s0304-3800(00)00322-7openalex-snapshot
Evaluating the predictive performance of habitat models developed using logistic regression
inferredcites →https://doi.org/10.1016/s0304-3800(00)00354-9openalex-snapshot
Predictive habitat distribution models in ecology
inferredcites →https://doi.org/10.1017/cbo9780511810602openalex-snapshot
Mapping Species Distributions
inferredcites →https://doi.org/10.1017/s0376892997000088openalex-snapshot
A review of methods for the assessment of prediction errors in conservation presence/absence models
inferredcites →https://doi.org/10.1073/pnas.0901639106openalex-snapshot
Niches, models, and climate change: Assessing the assumptions and uncertainties
inferredcites →https://doi.org/10.1080/01490419.2012.747454openalex-snapshot
Impact of Scale and Quality of Digital Terrain Models on Predictability of Seabed Terrain Types
inferredcites →https://doi.org/10.1103/physrev.106.620openalex-snapshot
Information Theory and Statistical Mechanics
inferredcites →https://doi.org/10.1103/physrev.108.171openalex-snapshot
Information Theory and Statistical Mechanics. II
inferredcites →https://doi.org/10.1109/34.566806openalex-snapshot
Pairwise data clustering by deterministic annealing
inferredcites →https://doi.org/10.1111/2041-210x.12004openalex-snapshot
Presence‐only modelling using MAXENT : when can we trust the inferences?
inferredcites →https://doi.org/10.1111/j.0906-7590.2008.5203.xopenalex-snapshot
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
inferredcites →https://doi.org/10.1111/j.1365-2699.2008.01965.xopenalex-snapshot
Modelling and predicting fungal distribution patterns using herbarium data
inferredcites →https://doi.org/10.1111/j.1365-2699.2009.02174.xopenalex-snapshot
Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models
inferredcites →https://doi.org/10.1111/j.1365-2699.2012.02707.xopenalex-snapshot
Less than eight (and a half) misconceptions of spatial analysis
inferredcites →https://doi.org/10.1111/j.1472-4642.2010.00725.xopenalex-snapshot
A statistical explanation of MaxEnt for ecologists
inferredcites →https://doi.org/10.1111/j.1541-0420.2012.01824.xopenalex-snapshot
Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology
inferredcites →https://doi.org/10.1111/j.1600-0587.2009.06039.xopenalex-snapshot
The uncertain nature of absences and their importance in species distribution modelling
inferredcites →https://doi.org/10.1111/j.1600-0587.2009.06142.xopenalex-snapshot
ENMTools: a toolbox for comparative studies of environmental niche models
inferredcites →https://doi.org/10.1111/j.1600-0587.2011.06888.xopenalex-snapshot
Can we model the probability of presence of species without absence data?
inferredcites →https://doi.org/10.1111/j.1600-0587.2011.07285.xopenalex-snapshot
Inferring prevalence from presence‐only data: a response to ‘Can we model the probability of presence of species without absence data?’
inferredcites →https://doi.org/10.1111/j.1600-0587.2013.07872.xopenalex-snapshot
A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter
inferredcites →https://doi.org/10.1111/j.1600-0706.2009.18295.xopenalex-snapshot
Testing the accuracy of species distribution models using species records from a new field survey
inferredcites →https://doi.org/10.1111/j.1654-1103.2003.tb02201.xopenalex-snapshot
Partitioning the variation in a plot‐by‐species data matrix that is related to n sets of explanatory variables
inferredcites →https://doi.org/10.1111/j.1756-1051.2010.00984.xopenalex-snapshot
A fine‐grained spatial prediction model for the red‐listed vascular plant Scorzonera humilis
inferredcites →https://doi.org/10.1111/j.2006.0906-7590.04596.xopenalex-snapshot
Novel methods improve prediction of species’ distributions from occurrence data
inferredcites →https://doi.org/10.1111/j.2041-210x.2011.00182.xopenalex-snapshot
Likelihood analysis of species occurrence probability from presence‐only data for modelling species distributions
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1145/1015330.1015412openalex-snapshot
A maximum entropy approach to species distribution modeling
inferredcites →https://doi.org/10.1658/1100-9233(2003)014[0693:ptviap]2.0.co;2openalex-snapshot
Partitioning the variation in a plot-by-species data matrix that is related to n sets of explanatory variables
inferredcites →https://doi.org/10.1890/04-0608openalex-snapshot
MODEL-BASED STRATIFICATIONS FOR ENHANCING THE DETECTION OF RARE ECOLOGICAL EVENTS
inferredcites →https://doi.org/10.1890/07-0986.1openalex-snapshot
FORWARD SELECTION OF EXPLANATORY VARIABLES
inferredcites →https://doi.org/10.1890/07-2153.1openalex-snapshot
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
inferredcites →https://doi.org/10.1890/10-1171.1openalex-snapshot
Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria
inferredcites →https://doi.org/10.1890/12-1520.1openalex-snapshot
On estimating probability of presence from use–availability or presence–background data
inferredcites →https://doi.org/10.2307/1940179openalex-snapshot
Partialling out the Spatial Component of Ecological Variation
inferredcites →https://doi.org/10.2307/3237168openalex-snapshot
On the variation explained by ordination and constrained ordination axes
inferredcites →https://doi.org/10.2478/som-2001-0001openalex-snapshot
Vegetation-environment relationships of boreal spruce swamp forests in Østmarka Nature Reserve, SE Norway
inferredcites →https://doi.org/10.2478/v10208-011-0015-3openalex-snapshot
A gradient analytic perspective on distribution modelling
inferredcites →https://doi.org/10.2478/v10208-011-0016-2openalex-snapshot
A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling
inferredcites →https://doi.org/10.3161/150811008x331063openalex-snapshot
Phylogeography and predicted distribution of African-Arabian and Malagasy populations of giant mastiff bats, Otomops spp. (Chiroptera: Molossidae)
inferredcites →https://doi.org/10.32614/cran.package.dismoopenalex-snapshot
dismo: Species Distribution Modeling
inferredcites →https://doi.org/10.5555/1314498.1314540openalex-snapshot
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
inferredcites →https://doi.org/10.5860/choice.49-6266openalex-snapshot
Ecological niches and geographic distributions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Identifying freshwater wetland suitable habitat through a hydrological-biological connectivity framework: A case study of Naoli River wetlands, China
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Study on habitat suitability and ecological network of rare cranes in Poyang Lake National Nature Reserve
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Optimized MaxEnt modeling reveals major decline and shift of giant panda habitat under CMIP6 ensemble projections
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Spatiotemporal changes and projections of suitable habitat for the Hainan Eld's deer under climate change
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MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review
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