Dec 24, 2011

Data-intensive science applied to broad-scale citizen science

Trends in Ecology & Evolution
Wesley M HochachkaSteve Kelling

Abstract

Identifying ecological patterns across broad spatial and temporal extents requires novel approaches and methods for acquiring, integrating and modeling massive quantities of diverse data. For example, a growing number of research projects engage continent-wide networks of volunteers ('citizen-scientists') to collect species occurrence data. Although these data are information rich, they present numerous challenges in project design, implementation and analysis, which include: developing data collection tools that maximize data quantity while maintaining high standards of data quality, and applying new analytical and visualization techniques that can accurately reveal patterns in these data. Here, we describe how advances in data-intensive science provide accurate estimates in species distributions at continental scales by identifying complex environmental associations.

  • References16
  • Citations54

References

  • References16
  • Citations54

Citations

Mentioned in this Paper

Stochastic Processes
Animal Migration
Hawks (bird)
Underpopulation
Repeated Rounds of Survey
Bionomics
Observation - Diagnostic Procedure
Biodiversity
Adapt (substance)

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