The African Bird Atlas Project (ABAP) and the Coordinated Waterbird Counts (CWAC) are the main citizen science bird monitoring programmes in southern Africa. ABAP data are collected by volunteers that compile bird lists over a grid of geographic areas known as pentads, resulting in millions of records that are key to studying bird distribution. In contrast, CWAC collects data on waterbird abundance at a selection of wetlands twice a year, offering important data on waterbird population dynamics. ABAP and CWAC data are extensively used in research. They also provide the evidence base for conservation decisions, site management and national reporting obligations against international agreements. The respective project websites provide distribution maps, summary statistics and basic data download features. However, a more advanced use of these data for modelling and their incorporation into analytical workflows requires flexible and direct access to the databases. The Africa Bird Data R packages presented here provide an important functionality to download and process data directly into the analytical software R. Apart from accessing the databases, there are functions that help with the analysis of these data by incorporating model covariates or formatting data for R packages that are popular for the analysis of this kind of data. Our objective is to make African bird data more accessible and easier to work with in order to unlock their full potential for research, and to inform management and conservation actions.
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