Conducting social network analysis with animal telemetry data: applications and methods using spatsoc
| Autor: | Robitaille, Alec L., Webber, Quinn M.R., Wal, Eric Vander |
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| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Structure (mathematical logic) 0303 health sciences Social network business.industry Computer science 010604 marine biology & hydrobiology Ecological Modeling computer.software_genre 010603 evolutionary biology 01 natural sciences R package 03 medical and health sciences Telemetry Data mining business Social network analysis computer Ecology Evolution Behavior and Systematics Georeferenced data Large animal 030304 developmental biology |
| DOI: | 10.1101/447284 |
| Popis: | SummaryWe present spatsoc: an R package for conducting social network analysis with animal telemetry data.Animal social network analysis is a method for measuring relationships between individuals to describe social structure. Using animal telemetry data for social network analysis requires functions to generate proximity-based social networks that have flexible temporal and spatial grouping. Data can be complex and relocation frequency can vary so the ability to provide specific temporal and spatial thresholds based on the characteristics of the species and system is required.spatsoc fills a gap in R packages by providing flexible functions, explicitly for animal telemetry data, to generate gambit-of-the-group data, perform data-stream randomization and generate group by individual matrices.The implications of spatsoc are that current users of large animal telemetry or otherwise georeferenced data for movement or spatial analyses will have access to efficient and intuitive functions to generate social networks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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