Examples of using Ebird in English and their translations into Malay
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EBird Helping science, fun.
Many non-ornithologists are initially extremely skeptical when they hear about eBird for the first time.
EBird collects data on birds from birders;
Many people first think“Is the eBird data perfect?”, and the answer is absolutely not.
EBird collects data on birds from birders;
In other words, when you start pilot testing, yourproject will not- and should not- look as polished as Galaxy Zoo or eBird.
As eBird demonstrates, distributed data collection can be used for scientific research.
In other words, when you start pilot testing, your project will not- and should not-look as polished as Galaxy Zoo or eBird.
First, eBird researchers are constantly trying to upgrade the quality of the data submitted by birders.
For more on howresearchers use statistical models to analyze eBird data see Fink et al.(2010) and Hurlbert and Liang(2012).
For example, in eBird, data collection is determined by the location of birders not the location of birds.
It is not yet clear if these statistical models fully remove biases from the data,but ornithologists are confident enough in the quality of adjusted eBird data that, as had been mentioned earlier, it has been used in almost 100 peer-reviewed scientific publications.
For example, in eBird, data collection is determined by the location of birders, not the location of the birds.
It is not yet clear if these statistical models fully remove biases from the data,but ornithologists are confident enough in the quality of adjusted eBird data that, as had been mentioned earlier, these data have been used in almost 100 peer-reviewed scientific publications.
The eBird project demonstrates that it is possible to involve volunteers in the collection of important scientific data.
Many people first think“Are the eBird data perfect?”, and the answer is“absolutely not.” However, that's not the right question.
Second, eBird researchers use statistical models that attempt to correct for the noisy and heterogeneous nature of the raw data.
Of course, like the data from eBird, the data from the Malawi Journals Project are not perfect, an issue discussed in detail by Watkins and colleagues.
EBird researchers have two main solutions to these data quality issues, issues that arise in many other distributed data collection projects.
EBird researchers have two main solutions to these data quality issues- solutions that might be helpful in other distributed data collection projects as well.
Second, eBird researchers use statistical models that attempt to correct for the noisy and heterogeneous nature of the raw data(Fink et al. 2010; Hurlbert and Liang 2012).
However, eBird, and related projects, indicate that challenges related to sampling and data quality are concerns for distributed data collection projects.
EBird is a distributed data collection project that solicits information from birders around the world, and it has already received over 260 million bird sightings from 250,000 participants(Kelling et al. 2015).
EBird is a distributed data collection project that solicits information from birders around the world, and it has already received over 260 million bird sightings from 250,000 participants(Kelling, Fink, et al. 2015).
For example, eBird offers education to participants, and it has created visualizations of each participant's data that, by their design, encourage birders to upload information about all species that they observed, not just a subset(Wood et al. 2011; Wiggins 2011).
For example, eBird offers education to participants, and it has created visualizations of each participant's data that, by their design, encourage birders to upload information about all species that they observed, not just the most interesting(Wood et al. 2011; Wiggins 2011).