Работы, на которые ссылается эта работа

Работ: 60

Работа: The best of two worlds: using stacked generalization for integrating expert range maps in species distribution models

The recent past and promising future for data integration methods to estimate species’ distributions
David A. Miller, Krishna Pacifici, Jamie S. Sanderlin +1
Статья2019Цитирований: 3
ABI
Generating ensembles of heterogeneous classifiers using Stacked Generalization
M. Paz Sesmero, Agapito Ledezma, Araceli Sanchis
Статья2015Цитирований: 2
ABI
Stacking species distribution models and adjusting bias by linking them to macroecological models
Justin M. Calabrese, Grégoire Certain, Casper Kraan +1
Статья2013Цитирований: 2
ABI
A solution to the problem of separation in logistic regression
Georg Heinze, M. Schemper
Статья2002Цитирований: 2
ABI
Unified Cross-Validation Methodology For Selection Among Estimators and a General Cross-Validated Adaptive Epsilon-Net Estimator: Finite Sample Oracle Inequalities and Examples
Mark J. van der Laan, Sandrine Dudoit
Статья2003Цитирований: 2
ABI
Model‐based integration of observed and expert‐based information for assessing the geographic and environmental distribution of freshwater species
Sami Domisch, Adam M. Wilson, Walter Jetz
Статья2015Цитирований: 2
ABI
Integrating demography, dispersal and interspecific interactions into bird distribution models
Damaris Zurell
Статья2017Цитирований: 2
ABI
IUCN greatly underestimates threat levels of endemic birds in the Western Ghats
Vijay Ramesh, Trisha Gopalakrishna, Sahas Barve +1
Статья2017Цитирований: 2
ABI
A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD
Tianxiao Hao, Jane Elith, Gurutzeta Guillera‐Arroita +1
Обзорная статья2019Цитирований: 2
ABI
Integrating dynamic environmental predictors and species occurrences: Toward true dynamic species distribution models
Pietro Milanesi, Francesca Della Rocca, Robert A. Robinson
Статья2019Цитирований: 2
ABI
Matching expert range maps with species distribution model predictions
Kumar P. Mainali, Trevor J. Hefley, Leslie Ries +1
Статья2020Цитирований: 2
ABI
A strategy for the next decade to address data deficiency in neglected biodiversity
Axel Hochkirch, Michael J. Samways, Justin Gerlach +13
Статья2020Цитирований: 2
ABI
Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code
Roozbeh Valavi, Gurutzeta Guillera‐Arroita, José J. Lahoz‐Monfort +1
Статья2021Цитирований: 2
ABI
Modelling species presence‐only data with random forests
Roozbeh Valavi, Jane Elith, José J. Lahoz‐Monfort +1
Статья2021Цитирований: 2
ABI
Species distribution models rarely predict the biology of real populations
Julie A. Lee‐Yaw, Jenny L. McCune, Samuel Pironon +1
Статья2021Цитирований: 2
ABI
Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning
Carmelo Bonannella, Tomislav Hengl, Johannes Heisig +4
Статья2022Цитирований: 2
ABI
Mismatch between IUCN range maps and species interactions data illustrated using the Serengeti food web
Gracielle Higino, Francis Banville, Gabriel Dansereau +3
Статья2023Цитирований: 2
ABI
Predicting the potential distribution of wheatear birds using stacked generalization-based ensembles
Omar El Alaoui, Ali Idri
Статья2023Цитирований: 2
ABI
An integrated species distribution modelling framework for heterogeneous biodiversity data
Martin Jung
Статья2023Цитирований: 2
ABI
dismo: Species Distribution Modeling
Robert J. Hijmans, Steven Phillips, John Leathwick +1
Другое2010Цитирований: 2
ABI
Stacked generalization: an introduction to super learning
Ashley I. Naimi, Laura B. Balzer
Обзорная статья2018Цитирований: 2
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI