extract_observers.RdExtract data for one or multiple observers
extract_observers(observer_numbers, start_date = "2019-01-01", end_date = "2019-02-01", region_type = "country", region_id = "kenya", return_type = "data", return_format = "CSV")
| observer_numbers | A character or a vector of characters that represent the ADU number or numbers that you want to query the database for. Example: observer_numbers = '10723' or observer_numbers = c('10723', '40147') |
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| start_date | A character representing the start date from which you want to query the database. It must be in the YYYY-MM-DD format. Defaults to 1 Jan,2019. Example: '2019-01-26'. |
| end_date | A character representing the end date to which you want to query the database. It must be in the YYYY-MM-DD format. Defaults to 1 Feb, 2019. Example: '2019-02-26'. |
| region_type | Can take one of the following types: country, pentad, group, qdgc. Default is 'country' |
| region_id | Has to be co-defined with `region_type`. That is, it is an instantiation of the `region_type`. For instance if the `region_type` = 'country', then the `region_id` = 'kenya'. Or if `region_type` = 'pentad', then `region_id` = '3355_1825'. Default is 'kenya'. |
| return_type | There are two options, 'data' and 'count'. 'data' is the actual records submitted to the africa bird map. 'count' return a count of the rows. Default is 'data'. |
| return_format | Default s 'CSV', though the API default is 'JSON' |
Depending on the return_format, the function will return a dataframe with the following: 1. `return_type = data` A tidy dataframe is returned with the records that fall within the specification defined. 2. `return_type = count` A tidy dataframe is returns with the number of rows that will be produced if the return_type was to be specified as 'data'.
# NOT RUN { # Extract data with single observers. extract_observers( observer_numbers = 10723, start_date = '2019-01-01', end_date = '2019-02-01', region_type = 'country', region_id = 'kenya', return_type = 'data', return_format = 'CSV' ) # Extract data for multiple observers extract_observers(observer_numbers = c('10723', '40147'), start_date = '2019-01-01', end_date = '2019-02-01', region_type = 'country', region_id = 'kenya', return_type = 'data', return_format = 'CSV' ) # }