- 1 UvAGPS functions
- 2 Filtering tracking data
- 3 Calculating summary statistics
- 4 Extra Metadata
Compute distance (meters), time-interval (time stamp hh:mm:ss), speed (meters/second) and heading (degrees) for a series of subsequent tracking entries for a specific device_info_serial. For the first entry in the sequence these values will always be missing because they are computed as the difference between subsequent rows.
Usage examples :
select * from gps.get_uvagps_track_speed(<device_info_serial>); select * from gps.get_uvagps_track_speed(119, '2008-01-01 00:00:00', '2010-01-01 00:00:00'); select t.*, a.distance, a.interval, a.speed, a.direction from gps.get_uvagps_track_speed(119, '2008-01-01 00:00:00', '2010-01-01 00:00:00') a join gps.ee_tracking_speed_limited t using(device_info_serial, date_time);
Distances and heading are calculated with spherical correction with the Haversine formula as described here. The heading is the initial heading. PostGIS does not calculate the heading, so therefore we don't use PostGIS.
In these functions the records that have been flagged as invalid by setting the userflag to 1 are not taken into account and discarded. If speed calculations are required for all records an additional boolean argument get raw data can be given. i.e.
select * from gps.get_uvagps_track_speed(119, '2008-01-01 00:00:00', '2010-01-01 00:00:00', true); select * from gps.get_uvagps_track_speed(119, true);
Compute distance (meters) for UvAGPS tracks to arbitrary point in lat/long or geometry location
Example usage :
select * from gps.get_uvagps_track_distance(119, 52.1897017, 6.1996606); select * from gps.get_uvagps_track_distance(119, (select location from gps.ee_tracking_speed_limited where device_info_serial = 119 and date_time = '2009-05-07 19:55:08'));
Here the distance is calculated with the PostGIS distance_sphere function which uses spherical correction.
Compute distance (meters) and direction (degrees) for UvAGPS tracks from arbitrary point in lat/long or geometry location
select * from gps.get_uvagps_track_distance_direction(119, 52.1897017, 6.1996606);
Distances and direction are calculated with spherical correction with the Haversine formula as described here. The direction is the direction from the given point.
In this function the records where the userflag has been set are discarded. To see these records a additional boolean argument for show raw data should be added like :
select * from gps.get_uvagps_track_distance_direction(119, 52.1897017, 6.1996606, true);
Filtering tracking data
Select tracking data from the beginning of a track session
Select only those points that were collected during a valid track session (i.e. data that begins from the start_date of a track session) including 2D GPS speed. Filter our points where no GPS fix is returned (latitude is not null) and where a user has flagged the data as inappropriate (user_flag <> 1):
SELECT t.device_info_serial, t.date_time, t.latitude, t.longitude, t.altitude, t.temperature, t.speed, t.userflag FROM gps.ee_tracking_speed_limited t, gps.ee_track_session_limited s WHERE t.device_info_serial = s.device_info_serial AND t.date_time >= s.start_date AND t.device_info_serial = <ID> AND t.latitude IS NOT NULL AND t.userflag <> 1
Select tracking data and distinguish between distinct GPS deployments
In this query you will select the tracking data related to each deployment of a GPS logger or each time an individual bird was tracked. This query is slightly more complex than the query above. If you have used the same logger on more than one individual bird, or have tracked the same individual with more than one logger, this query will enable you to make a distinction between these tracking events by showing both GPS logger id (device_info_serial) and a unique identifier for your individual (eg ring_number or colour_ring). Furthermore, as above, this will only select tracking data from the start and end of a particular track session.
SELECT t.device_info_serial, t.date_time, t.latitude, t.longitude, t.altitude, t.speed_2d, i.colour_ring, s.track_session_id, s.key_name FROM gps.ee_track_session_limited s JOIN gps.ee_individual_limited i ON s.individual_id = i.individual_id JOIN gps.ee_tracking_speed_limited t ON t.device_info_serial = s.device_info_serial AND t.date_time BETWEEN s.start_date AND s.end_date WHERE s.key_name = '<Project name>' AND t.userflag = 0 ORDER BY t.device_info_serial, t.date_time
HINT: WHERE s.key_name = 'HG_TEXEL'
Re-sample tracking data to select data with a predefined interval between fixes
The following query provides an example of how to select data points with a predefined interval between each point and not lower. In the following example, a 5 minute interval is selected. In this example all measurements that are taken between each 5 minute interval are left out of the resampled data.
Commented query with examples. Statements followed by -- are comments and are not parsed by SQL.
SELECT * FROM gps.ee_tracking_speed_limited JOIN ( SELECT device_info_serial, -- return oldest date_time for each interval MIN(date_time) date_time, -- each 5 minutes has a unique identifier FLOOR(EXTRACT(EPOCH FROM date_time)/(5*60)) intervalid FROM gps.ee_tracking_speed_limited WHERE device_info_serial = 355 AND date_time BETWEEN '2010-06-27' AND '2010-06-29' GROUP BY device_info_serial, intervalid ) b USING (device_info_serial, date_time)
ORDER BY date_time
Uncommented query, date_time and device_info_serial need to be filled in. Interval is 5 minutes and can be changed.
SELECT * FROM gps.ee_tracking_speed_limited JOIN ( SELECT device_info_serial, MIN(date_time) date_time, FLOOR(EXTRACT(EPOCH FROM date_time)/(5*60)) intervalid FROM gps.ee_tracking_speed_limited WHERE device_info_serial = <ID> AND date_time BETWEEN 'yyyy-mm-dd' AND 'yyyy-mm-dd' GROUP BY device_info_serial, intervalid ) b USING (device_info_serial, date_time) ORDER BY date_time
Calculating summary statistics
A query to determine the total distance a bird has flown is :
select sum(distance)/1000 as total_distance from gps.get_uvagps_track_speed(<ID>);
or for a fixed time period :
select sum(distance)/1000 as total_distance from gps.get_uvagps_track_speed(<ID>, '2010-01-01 00:00:00', '2011-01-01 00:00:00');
Total number of measurements per tag
Count the total number of measurements for each device using the GROUP BY clause:
select device_info_serial, count(*) from gps.ee_tracking_speed_limited group by device_info_serial ORDER BY device_info_serial ASC;
If you want to count the number of measurements with valid GPS fixes you can add a where clause :
select device_info_serial, count(*) from gps.ee_tracking_speed_limited where latitude is not null group by device_info_serial ORDER BY device_info_serial ASC;
Count the number of GPS fixes within a track session and for all track sessions within a specific project. In the example below the project name needs to be filled in, for example s.key_name = 'HG_IVES'
WITH V AS ( SELECT s.device_info_serial, count(t.*) AS point_count, s.track_session_id, s.individual_id FROM gps.ee_track_session_limited s JOIN gps.ee_tracking_speed_limited t ON t.latitude IS NOT NULL AND s.device_info_serial = t.device_info_serial AND t.date_time BETWEEN s.start_date AND s.end_date WHERE s.key_name = '< project name >' GROUP BY s.track_session_id, s.device_info_serial, s.individual_id ) SELECT i.colour_ring, V.device_info_serial, V.point_count, V.track_session_id FROM V JOIN gps.ee_individual_limited i ON V.individual_id = i.individual_id
Extract all track sessions for a project
This query provides all the track sessions for a specific project as well as the selected ID of the individual birds that were tracked. In the example below the project name needs to be filled in, for example s.key_name = 'HG_IVES'
SELECT s.device_info_serial, i.colour_ring, s.track_session_id, s.key_name FROM gps.ee_individual_limited i JOIN gps.ee_track_session_limited s ON s.individual_id = i.individual_id WHERE s.key_name = '< project name >' ORDER BY i.colour_ring