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Работы, на которые ссылается эта работа

Работ: 46

Работа: The Best of Two Worlds: Using Stacked Generalisation for Integrating Expert Range Maps in Species Distribution Models

  1. Biodiversity hotspots for conservation priorities

    Norman Myers, Russell A. Mittermeier, Cristina G. Mittermeier +2

    Статья2000Цитирований: 20
    ABI

  2. Climatologies at high resolution for the earth’s land surface areas

    Dirk Nikolaus Karger, Olaf Conrad, Jürgen Böhner +6

    Статья2017Цитирований: 8
    ABI

  3. Climatologies at high resolution for the earth’s land surface areas

    Dirk Nikolaus Karger, Olaf Conrad, Jürgen Böhner +6

    Статья2017Цитирований: 7
    ABI

  4. Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

    Jane Elith, John R. Leathwick

    Статья2009Цитирований: 7
    ABI

  5. A global map of travel time to cities to assess inequalities in accessibility in 2015

    D. J. Weiss, Andrew Nelson, Harry S. Gibson +19

    Статья2018Цитирований: 5
    ABI

  6. Spatial filtering to reduce sampling bias can improve the performance of ecological niche models

    Robert A. Boria, Link E. Olson, Steven M. Goodman +1

    Статья2014Цитирований: 5
    ABI

  7. ENMTools 1.0: an R package for comparative ecological biogeography

    Dan L. Warren, Nicholas J. Matzke, Marcel Cardillo +9

    Статья2021Цитирований: 5
    ABI

  8. Integrating occurrence data and expert maps for improved species range predictions

    Cory Merow, Adam M. Wilson, Walter Jetz

    Статья2016Цитирований: 4
    ABI

  9. A practical guide for combining data to model species distributions

    Robert J. Fletcher, Trevor J. Hefley, Ellen P. Robertson +3

    Обзорная статья2019Цитирований: 4
    ABI

  10. Continental‐scale 1 km hummingbird diversity derived from fusing point records with lateral and elevational expert information

    Diego Ellis‐Soto, Cory Merow, Giuseppe Amatulli +2

    Статья2021Цитирований: 4
    ABI

  11. Broad‐scale patterns of geographic avoidance between species emerge in the absence of fine‐scale mechanisms of coexistence

    Roberto Novella‐Fernandez, Javier Juste, Carlos Ibáñez +8

    Статья2021Цитирований: 4
    ABI

  12. The biodiversity of species and their rates of extinction, distribution, and protection

    Stuart L. Pimm, Clinton N. Jenkins, Robin Abell +6

    Обзорная статья2014Цитирований: 3
    ABI

  13. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling

    Giuseppe Amatulli, Sami Domisch, Mao‐Ning Tuanmu +4

    Статья2018Цитирований: 3
    ABI

  14. Ensemble forecasting of species distributions

    Miguel B. Araújo, Mark New

    Обзорная статья2006Цитирований: 3
    ABI

  15. The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models

    Mindy M. Syfert, Matthew J. Smith, David A. Coomes

    Статья2013Цитирований: 3
    ABI

  16. Standards for distribution models in biodiversity assessments

    Miguel B. Araújo, Robert P. Anderson, A. Márcia Barbosa +10

    Обзорная статья2019Цитирований: 3
    ABI

  17. Habitat metrics based on multi‐temporal Landsat imagery for mapping large mammal habitat

    Julian Oeser, Marco Heurich, Cornelius Senf +3

    Статья2019Цитирований: 3
    ABI

  18. Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models

    Tianxiao Hao, Jane Elith, José J. Lahoz‐Monfort +1

    Статья2020Цитирований: 3
    ABI

  19. Comparing sample bias correction methods for species distribution modeling using virtual species

    Richard D. Inman, Janet Franklin, Todd C. Esque +1

    Статья2021Цитирований: 3
    ABI

  20. Target‐group backgrounds prove effective at correcting sampling bias in Maxent models

    Robert A. Barber, Stuart G. Ball, Roger Morris +1

    Статья2021Цитирований: 3
    ABI

  21. Generating ensembles of heterogeneous classifiers using Stacked Generalization

    M. Paz Sesmero, Agapito Ledezma, Araceli Sanchis

    Статья2015Цитирований: 2
    ABI

  22. Stacking species distribution models and adjusting bias by linking them to macroecological models

    Justin M. Calabrese, Grégoire Certain, Casper Kraan +1

    Статья2013Цитирований: 2
    ABI

  23. A solution to the problem of separation in logistic regression

    Georg Heinze, M. Schemper

    Статья2002Цитирований: 2
    ABI

  24. 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

  25. 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