Bihu Bird Count: Analysing collaborative counting
Bihu Bird Count (BBC) is an triannual event conducted by Assam Bird Monitoring Network. As the name suggests, the bird count is conducted during Bihu. As we head towards Kati Bihu, we are launching the results of previous bird count — Bohag Bihu Bird Count. But what exactly is a bird count ?
Bird count is a process where the user records the count of species of bird seen and/or heard at a particular location. With a network of volunteers doing the same process across an entire region , it gives an good overview of the bird species of the region. To reduce the risk of duplicate reporting during BBC , the observations are recorded against a checklist (SAMPLING EVENT IDENTIFIER). Each checklist can belong to one or multiple people. If a checklist belonging to multiple people, a GROUP IDENTIFIER is assigned. For all individuals a OBSERVER ID is assigned.
For this analysis, we collected the data from ebird.org which is maintained by Cornell Lab of Ornithology. All checklists during bird count is submitted to ebird after the event. For analysing the data , I have used python and Google Colab.For the first step, we load the dataset and project the required columns.The dataset contains data for the entire month of April, but we require data only during the bird count, which happened on April 14, 15, and 16. Since we would require day-wise data as well, we are extracting the day into a new column.
The dataset contains data for the entire month of April, but we require data only during the bird count, which happened on April 14, 15, and 16. Since we would require day-wise data as well, we are extracting the day into a new column.
If you have ever counted birds, you might be knowing how hard it is to get an exact count all the time. If an exact count is not known , a value of X is put into Observation count which indicates a presence but count is unknown. It could be a single bird or a thousand birds. Since X is numerically difficult to analyse, we are putting a count of 0.
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