A new process-based dynamic occupancy model with dispersal-pressure colonization and sparse matrices enables large-scale study of range dynamics and disentangles dispersal from habitat effects in non-equilibrium conditions.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A convolution process on a directed network provides a covariance model for SST that respects physical barriers and currents, used to identify thermal hot spots via Monte Carlo RCP projections.
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A process-based dynamic occupancy model to study range dynamics under non-equilibrium conditions
A new process-based dynamic occupancy model with dispersal-pressure colonization and sparse matrices enables large-scale study of range dynamics and disentangles dispersal from habitat effects in non-equilibrium conditions.
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A Convolution Process for Sea Surface Temperature Hot-Spot Identification in the Mediterranean Sea
A convolution process on a directed network provides a covariance model for SST that respects physical barriers and currents, used to identify thermal hot spots via Monte Carlo RCP projections.