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Surrogate Modelling of Range Shift Dynamics
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10980-012-9737-0openalex-snapshot
Estimating landscape resistance to movement: a review
inferredcites →https://doi.org/10.1016/j.dib.2023.109348openalex-snapshot
Natural grasslands across mainland France: A dataset including a 10 m raster and ground reference points
inferredcites →https://doi.org/10.1038/s43017-024-00527-zopenalex-snapshot
Mechanisms, detection and impacts of species redistributions under climate change
inferredcites →https://doi.org/10.1073/pnas.1602817113openalex-snapshot
Achieving climate connectivity in a fragmented landscape
inferredcites →https://doi.org/10.1111/ecog.05687openalex-snapshot
RangeShifter 2.0: an extended and enhanced platform for modelling spatial eco‐evolutionary dynamics and species' responses to environmental changes
inferredcites →https://doi.org/10.1111/j.1365-2664.2006.01214.xopenalex-snapshot
Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)
inferredcites →https://doi.org/10.1111/j.1466-822x.2004.00131.xopenalex-snapshot
The carrying capacity of ecosystems
inferredcites →https://doi.org/10.1145/3783986openalex-snapshot
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
inferredcites →https://doi.org/10.1371/journal.pone.0263150openalex-snapshot
Using machine learning as a surrogate model for agent-based simulations
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