INS 5-2 - Can population time-series data be combined into a single data structure? Insights from developing the Popler database

Tuesday, August 13, 2019
M108, Kentucky International Convention Center
Aldo Compagnoni1, Andrew J. Bibian2, Brad M. Ochocki3, Kai Zhu4 and Thomas Miller3, (1)German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Martin Luther University Halle-Wittenberg, Leipzig, Germany, (2)BioSciences, Rice University, Houston, TX, (3)Department of BioSciences, Rice University, Houston, TX, (4)University of California, Santa Cruz
Have you ever wanted to synthesize data from hundreds of ecological population abundance time-series? The first step of such analysis would be to put all datasets in the same format, but this seems impossible to do without mayor loss of information: ecological time-series data are incredibly heterogeneous. Here, we show that most population time-series share characteristics that allow devising a common data structure capable of retaining most of the original information. To illustrate these characteristics, we use examples from our work in developing a publicly available database of population time series – popler.