Results 21 to 30 of about 20,112 (262)

Maxent: Version 1.0 Release Candidate 2 [PDF]

, 2016
<p>The MaxEnt Project: A utility for performing analytic continuation using the method of Maximum Entropy.</p> <p>Many-body Green's functions calculated on the imaginary axis can be related to a real spectral function, but is an ...
James P.F. LeBlanc, Alexander Gaenko, Xi Chen, Ryan Levy, Emanuel Gull   +4 more
core   +1 more source

Thraulodes marreroi Chacón, Segnini y Domínguez (Ephemeroptera: Leptophlebiidae: Atalophlebiinae): nuevos registros para Venezuela y un análisis sobre su distribución neotropical mediante el modelo de nicho ecológico

Revista Chilena de Entomología, 2020
Se registran nuevas localidades para Thraulodes marreroi en Venezuela y se analiza su potencial distribución geográfica en el Neotrópico mediante el modelo de nicho ecológico, utilizando el algoritmo de Máxima Entropía (MaxEnt), con base en los reportes ...
Belkys Pérez-García, Jonathan Liria, Robert Leal-Sánchez, Liliana Nieto-Caicedo, Edmundo Guerrero-Donoso   +4 more
doaj   +1 more source

Spatial modeling of the ecological niche of Pinus greggii Engelm. (Pinaceae): a species conservation proposal in Mexico under climatic change scenarios

iForest - Biogeosciences and Forestry, 2020
Pinus greggii is a species of socio-economic importance in terms of wood production and environmental services in Mexico, though it is restricted by particular environmental conditions to the Sierra Madre Occidental.
Martínez-Sifuentes AR, Villanueva-Díaz J, Manzanilla-Quiñones U, Becerra-López JL, Hernández-Herrera JA, Estrada-Ávalos J, Velázquez-Pérez AH   +6 more
doaj   +1 more source

MinNorm approximation of MaxEnt/MinDiv problems for probability tables [PDF]

, 2015
Categorical data are found in a wide variety of important applications in environmental sciences and dealing with multivariate analyses is a challenging topic.
Bogaert, Patrick, Patrick Bogaert, Sarah Gengler, Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2014), Gengler, Sarah   +4 more
core   +1 more source

Distribution modelling by MaxEnt: from black box to flexible toolbox [PDF]

, 2016
The easier access to increasingly powerful computational approaches and tools in the field of distribution modelling, has contributed to a proliferation of data, applications, practitioners, guidelines, and novel theoretical understandings.
Mazzoni, Sabrina
core   +1 more source

Paradoxes of MaxEnt markedness

Proceedings of the Annual Meetings on Phonology, 2023
Over the past two decades, theoretical linguistics has taken a probabilistic turn. Maximum entropy (ME) has been endorsed as a model of probabilistic phonology because of its classical guarantees for grammatical inference. Yet, little is known about the basic organizing principles of ME phonology beyond circumstantial evidence of ME’s ability to fit ...
Giorgio Magri, Arto Anttila
openaire   +1 more source

Spatial distribution and habitat selection of culicoides imicola: The potential vector of bluetongue virus in Tunisia

Onderstepoort Journal of Veterinary Research, 2021
The increasing threat of vector-borne diseases (VBDs) represents a great challenge to those who manage public and animal health. Determining the spatial distribution of arthropod vector species is an essential step in studying the risk of transmission of
Ben H. Thameur, Sghaier Soufiène, Heni Haj Ammar, Salah Hammami   +3 more
doaj   +1 more source

MaxEnt and dynamical information [PDF]

The European Physical Journal B, 2012
The MaxEnt solutions are shown to display a variety of behaviors (beyond the traditional and customary exponential one) if adequate dynamical information is inserted into the concomitant entropic-variational principle. In particular, we show both theoretically and numerically that power laws and power laws with exponential cut-offs emerge as ...
Hernando de Castro, Alberto, Plastino, Ángel Luis, Plastino, Ángel Ricardo   +2 more
openaire   +4 more sources

Maxent ASCII [PDF]

, 2015
This is the habitat suitability output file from ...
Thomson, Robert C., Rafe M. Brown (214673), Anthony J. Barley (618172), Monnahan, Patrick J., Barley, Anthony J., Grismer, L. Lee, Patrick J. Monnahan (735483), Robert C. Thomson (3194781), L. Lee Grismer (846905), Brown, Rafe M.   +9 more
core   +1 more source

Using a multi‐model ensemble approach to determine biodiversity hotspots with limited occurrence data in understudied areas: An example using freshwater mussels in México

Ecology and Evolution, 2022
Species distribution models (SDMs) are an increasingly important tool for conservation particularly for difficult‐to‐study locations and with understudied fauna.
Alexander H. Kiser, Kevin S. Cummings, Jeremy S. Tiemann, Chase H. Smith, Nathan A. Johnson, Roel R. Lopez, Charles R. Randklev   +6 more
doaj   +1 more source