Judul : Agent-Based Model and Complexity Science in the Age of Geospatial Big Data
Bahasa : Inggris
Jumlah Halaman : 111 Halaman
Format E-book : Pdf
Editor : Liliana Perez, Eun-Kyeong Kim, Raja Sengupta
Penerbit : Springer
Alaska salmon fisheries are a source of commercial revenue, renewable subsistence resource, cultural identity, and recreational destination for Alaskans, native populations, and out of state eco-tourist alike. We constructed a high fidelity, adaptable, data-driven agent based model that generalizes the socio-ecological dynamics of Kenai River, Alaska. Interactions among the model’s agents can be altered to study the impact of fishing regulation changes or salmon run-timing dynamics. Agents are driven including salmon runs, municipality management reports, and Alaska Department of Fish and Game management reports. Longitudinal and seasonal correlations between the model’s simulation outputs and the reported system measurements are used to validate the model.
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