Results 21 to 30 of about 26,974 (243)

Optimization, maxent models, and conditional estimation without magic [PDF]

open access: yesProceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology Tutorials - NAACL '03, 2003
This tutorial aims to cover the basic ideas and algorithms behind techniques such as maximum entropy modeling, conditional estimation of generative probabilistic models, and issues regarding the use of models more complex than simple Naive Bayes and Hidden Markov Models.
Christopher Manning, Dan Klein
openaire   +1 more source

The Most Important Factors that Affect the Potential of Groundwater Resources Piranshahr Watershed (West Azarbaijan) Using the MaxEnt Model and the GIS [PDF]

open access: yesپژوهش‌های آبخیزداری, 2020
Groundwater is the most important and vital natural resource in arid and semi-arid regions. The purpose of the study is to determine the potential of groundwater in different areas of the watershed and prioritize the factors affecting it.
Mehdi Teimouri, Omid Asadi Nalivan
doaj   +1 more source

Detecting fingerprints of landslide drivers: A MaxEnt model [PDF]

open access: yesJournal of Geophysical Research: Earth Surface, 2013
Landslides are important geomorphic events that sculpt river basins by eroding hillslopes and providing sediments to coastal areas. However, landslides are also hazardous events for socio‐ecological systems in river basins causing enormous biodiversity, economic, and social impacts. We propose a probabilistic spatially explicit model for the prediction
Convertino M.   +2 more
openaire   +3 more sources

MaxEnt versus MaxLike: empirical comparisons with ant species distributions

open access: yesEcosphere, 2013
MaxEnt is one of the most widely used tools in ecology, biogeography, and evolution for modeling and mapping species distributions using presence‐only occurrence records and associated environmental covariates.
Matthew C. Fitzpatrick   +2 more
doaj   +1 more source

Landslide susceptibility assessment based on MaxEnt model of along Sino-Nepal traffic corridor

open access: yesZhongguo dizhi zaihai yu fangzhi xuebao, 2022
As a key area of China's construction in recent years, the Sino Nepal traffic corridor has complex geological conditions and frequent geological disasters, especially landslides are the most serious.
Yang WAN   +4 more
doaj   +1 more source

A multi-method approach to delineate and validate migratory corridors [PDF]

open access: yes, 2017
Context: Managers are faced with numerous methods for delineating wildlife movement corridors, and often must make decisions with limited data. Delineated corridors should be robust to different data and models.
Bond, Monica L.   +4 more
core   +1 more source

Characteristics of potential suitable areas of Petrocodon Hance and its environmental driving variables

open access: yesGuangxi Zhiwu, 2023
Petrocodon Hance is one of the famous ornamental flowers, but most of them are assessed as extremely dangerous (CR), or at least above vulnerable (VU) due to climate turbulence and strong interference of human activities.
Hong HUANG   +6 more
doaj   +1 more source

Climatic curves as predictors in MaxEnt niche modeling [PDF]

open access: yes, 2021
AbstractEnvironmental niche modelling (ENM) uses different types of variables to predict species occurrence. In widespread use are variables derived from climatic curves, i.e., average annual changes in some climatic parameter. This study shows how to use the climatic curves themselves as ENM predictors.
openaire   +1 more source

Prediction of distribution patterns and dominant climatic factors of Cymbidium in China using MaxEnt model

open access: yesGuangxi Zhiwu, 2023
Except for Cymbidium lancifolium, all the other species of Cymbidium have been listed as the national key protected wild plants. In order to explore its future distribution patterns under the future climatic, we gathered the distribution information of ...
Fang ZHENG   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy