Understanding complex spatial dynamics from mechanistic models through spatio-temporal point processes

Patrizia Zamberletti, Julien Papaîx, Edith Gabriel & Thomas Opitz
Landscape heterogeneity affects population dynamics, which determine species persistence, diversity and interactions. These relationships can be accurately represented by advanced spatially-explicit models (SEMs) allowing for high levels of detail and precision. However, such approaches are characterised by high computational complexity, high amount of data and memory requirements, and spatio-temporal outputs may be difficult to analyse. A possibility to deal with this complexity is to aggregate outputs over time or space, but then interesting information may...
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