Proper identification of duplicates using spatial and temporal criteria in PostGISHow to properly set up indexes for PostGIS distance queries?Designing Spatial Database for temporal Data?postgis distance calculation between points with lat, long coordinatesPostGIS - Geometry or Geography find points within distance in metersDealing with custom projections (from prj file) in PostGIS (also GeoServer and OpenLayers)Nearest facility with pgRoutingSpatial+Temporal database request for 4D intersectionWhy is the Google Maps circle shape not matching to the distance calculated with PostgreSQL?am I setting up data from google geocoding correctly for ST_DWithin search?Finding list of points near current long/lat using PostGIS?Problem with st_clusterWithin and conditions

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Proper identification of duplicates using spatial and temporal criteria in PostGIS


How to properly set up indexes for PostGIS distance queries?Designing Spatial Database for temporal Data?postgis distance calculation between points with lat, long coordinatesPostGIS - Geometry or Geography find points within distance in metersDealing with custom projections (from prj file) in PostGIS (also GeoServer and OpenLayers)Nearest facility with pgRoutingSpatial+Temporal database request for 4D intersectionWhy is the Google Maps circle shape not matching to the distance calculated with PostgreSQL?am I setting up data from google geocoding correctly for ST_DWithin search?Finding list of points near current long/lat using PostGIS?Problem with st_clusterWithin and conditions






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








1















I have a table with metadata about sampling locations in the ocean. It includes geographic coordinates, date-time in which sampling was done the number of vertical measurements in each location (nlevels), and the kid of instrument used to take samples (instrument column).



Due to this particular dataset came from historical records, it can include duplicates that I would like to identify using spatiotemporal criteria (allowing rounding errors in spatial coordinates). I would like to detect all stations separated by a distance less than 5km and a temporal difference less than 25 hours



My code for testing was:



CREATE TABLE dups_v2 AS SELECT DISTINCT ON (t1.cast_id) t1.cast_id, t1.date, t1.date_time ,t1.lat, t1.lon, t1.nlevels, t1.instrument 
FROM good_dates t1 JOIN good_dates t2
ON ST_DWithin(t1.geom::geography, t2.geom::geography, 5000.0, true)
WHERE AGE(t1.date_time, t2.date_time) < interval '1 days 01:00:00' AND t1.cast_id <> t2.cast_id


The create table looks like:



cast_id | date_time | lat | lon | nlevels | instrument 
----------+---------------------+---------+-----------+---------+------------
943046 | 1950-02-03 05:00:00 | 25.9200 | -114.5500 | 25 | mbt
177584 | 1950-02-03 08:00:00 | 25.8200 | -114.8080 | 14 | osd
943053 | 1950-02-03 08:06:00 | 25.8200 | -114.7700 | 24 | mbt
943059 | 1950-02-03 10:00:00 | 25.7000 | -114.9700 | 22 | mbt
4369553 | 1950-03-05 00:00:00 | 25.7720 | -114.8570 | 40 | mbt
4369511 | 1950-03-05 04:00:00 | 25.9500 | -114.5000 | 38 | mbt
4369514 | 1950-03-05 05:00:00 | 25.8700 | -114.6500 | 39 | mbt
178401 | 1950-03-05 07:54:00 | 25.8580 | -114.7500 | 8 | osd
4369529 | 1950-03-05 07:58:12 | 25.8200 | -114.7500 | 42 | mbt
944149 | 1950-03-09 00:10:12 | 25.4300 | -113.4700 | 13 | mbt
944153 | 1950-03-09 13:55:12 | 25.0000 | -112.8300 | 13 | mbt


The time difference looks ok, but spatial separation it is incorrect. For example, consider the cast ids 944149 and 944153 (the last two) from the above results.



 944149 | 1950-03-09 00:10:12 | 25.4300 | -113.4700 | 13 | mbt
944153 | 1950-03-09 13:55:12 | 25.0000 | -112.8300 | 13 | mbt


The distance seems to be greater than 5 km.
Thus, is not fulfilling my duplicated definition (< 5km; < 25 hours)



Could you help me to identify my error?










share|improve this question









New contributor




Amaru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • You haven't attempted a temporal deconfliction constraint, so there's no indication what your time column might be. When doing a self join, you need a WHERE constraint to eliminate identity (t2.id <> t1.id) or previous clusters (t2.id > t1.id). It's not clear what your SRID is so the significance of your search distance is unclear. If you use or cast to geography, you can use a geodetic search in meters (though you need to index appropriately if casting)

    – Vince
    Mar 31 at 12:38











  • I followed your suggestion using WHERE to eliminate identity. Also, I used geography to get the distance in meters. The list of duplicates makes sense to me but I am struggling with the date. I am going to edit my question.

    – Amaru
    Mar 31 at 20:03











  • Asking for help with the age operator is probably more in the realm of Database Administrators

    – Vince
    Mar 31 at 20:11






  • 2





    Where does nlevels come from? I think you need the rank function, but, I am unclear on the question. Ignore @Vince, there are plenty of us here who can cope with time as well as space :-)

    – John Powell
    Apr 1 at 14:17







  • 1





    The problem, I think, is that if you use the distance in meters in ST_DWithin, where the input data are in lat/lon, 4326, then you need to cast to geography not geometry. If you use the first form, then the geometries need to be in a projected coordinate system where the units are in meters. It isn't clear from the question what SRID you are using.

    – John Powell
    Apr 3 at 5:50

















1















I have a table with metadata about sampling locations in the ocean. It includes geographic coordinates, date-time in which sampling was done the number of vertical measurements in each location (nlevels), and the kid of instrument used to take samples (instrument column).



Due to this particular dataset came from historical records, it can include duplicates that I would like to identify using spatiotemporal criteria (allowing rounding errors in spatial coordinates). I would like to detect all stations separated by a distance less than 5km and a temporal difference less than 25 hours



My code for testing was:



CREATE TABLE dups_v2 AS SELECT DISTINCT ON (t1.cast_id) t1.cast_id, t1.date, t1.date_time ,t1.lat, t1.lon, t1.nlevels, t1.instrument 
FROM good_dates t1 JOIN good_dates t2
ON ST_DWithin(t1.geom::geography, t2.geom::geography, 5000.0, true)
WHERE AGE(t1.date_time, t2.date_time) < interval '1 days 01:00:00' AND t1.cast_id <> t2.cast_id


The create table looks like:



cast_id | date_time | lat | lon | nlevels | instrument 
----------+---------------------+---------+-----------+---------+------------
943046 | 1950-02-03 05:00:00 | 25.9200 | -114.5500 | 25 | mbt
177584 | 1950-02-03 08:00:00 | 25.8200 | -114.8080 | 14 | osd
943053 | 1950-02-03 08:06:00 | 25.8200 | -114.7700 | 24 | mbt
943059 | 1950-02-03 10:00:00 | 25.7000 | -114.9700 | 22 | mbt
4369553 | 1950-03-05 00:00:00 | 25.7720 | -114.8570 | 40 | mbt
4369511 | 1950-03-05 04:00:00 | 25.9500 | -114.5000 | 38 | mbt
4369514 | 1950-03-05 05:00:00 | 25.8700 | -114.6500 | 39 | mbt
178401 | 1950-03-05 07:54:00 | 25.8580 | -114.7500 | 8 | osd
4369529 | 1950-03-05 07:58:12 | 25.8200 | -114.7500 | 42 | mbt
944149 | 1950-03-09 00:10:12 | 25.4300 | -113.4700 | 13 | mbt
944153 | 1950-03-09 13:55:12 | 25.0000 | -112.8300 | 13 | mbt


The time difference looks ok, but spatial separation it is incorrect. For example, consider the cast ids 944149 and 944153 (the last two) from the above results.



 944149 | 1950-03-09 00:10:12 | 25.4300 | -113.4700 | 13 | mbt
944153 | 1950-03-09 13:55:12 | 25.0000 | -112.8300 | 13 | mbt


The distance seems to be greater than 5 km.
Thus, is not fulfilling my duplicated definition (< 5km; < 25 hours)



Could you help me to identify my error?










share|improve this question









New contributor




Amaru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • You haven't attempted a temporal deconfliction constraint, so there's no indication what your time column might be. When doing a self join, you need a WHERE constraint to eliminate identity (t2.id <> t1.id) or previous clusters (t2.id > t1.id). It's not clear what your SRID is so the significance of your search distance is unclear. If you use or cast to geography, you can use a geodetic search in meters (though you need to index appropriately if casting)

    – Vince
    Mar 31 at 12:38











  • I followed your suggestion using WHERE to eliminate identity. Also, I used geography to get the distance in meters. The list of duplicates makes sense to me but I am struggling with the date. I am going to edit my question.

    – Amaru
    Mar 31 at 20:03











  • Asking for help with the age operator is probably more in the realm of Database Administrators

    – Vince
    Mar 31 at 20:11






  • 2





    Where does nlevels come from? I think you need the rank function, but, I am unclear on the question. Ignore @Vince, there are plenty of us here who can cope with time as well as space :-)

    – John Powell
    Apr 1 at 14:17







  • 1





    The problem, I think, is that if you use the distance in meters in ST_DWithin, where the input data are in lat/lon, 4326, then you need to cast to geography not geometry. If you use the first form, then the geometries need to be in a projected coordinate system where the units are in meters. It isn't clear from the question what SRID you are using.

    – John Powell
    Apr 3 at 5:50













1












1








1


0






I have a table with metadata about sampling locations in the ocean. It includes geographic coordinates, date-time in which sampling was done the number of vertical measurements in each location (nlevels), and the kid of instrument used to take samples (instrument column).



Due to this particular dataset came from historical records, it can include duplicates that I would like to identify using spatiotemporal criteria (allowing rounding errors in spatial coordinates). I would like to detect all stations separated by a distance less than 5km and a temporal difference less than 25 hours



My code for testing was:



CREATE TABLE dups_v2 AS SELECT DISTINCT ON (t1.cast_id) t1.cast_id, t1.date, t1.date_time ,t1.lat, t1.lon, t1.nlevels, t1.instrument 
FROM good_dates t1 JOIN good_dates t2
ON ST_DWithin(t1.geom::geography, t2.geom::geography, 5000.0, true)
WHERE AGE(t1.date_time, t2.date_time) < interval '1 days 01:00:00' AND t1.cast_id <> t2.cast_id


The create table looks like:



cast_id | date_time | lat | lon | nlevels | instrument 
----------+---------------------+---------+-----------+---------+------------
943046 | 1950-02-03 05:00:00 | 25.9200 | -114.5500 | 25 | mbt
177584 | 1950-02-03 08:00:00 | 25.8200 | -114.8080 | 14 | osd
943053 | 1950-02-03 08:06:00 | 25.8200 | -114.7700 | 24 | mbt
943059 | 1950-02-03 10:00:00 | 25.7000 | -114.9700 | 22 | mbt
4369553 | 1950-03-05 00:00:00 | 25.7720 | -114.8570 | 40 | mbt
4369511 | 1950-03-05 04:00:00 | 25.9500 | -114.5000 | 38 | mbt
4369514 | 1950-03-05 05:00:00 | 25.8700 | -114.6500 | 39 | mbt
178401 | 1950-03-05 07:54:00 | 25.8580 | -114.7500 | 8 | osd
4369529 | 1950-03-05 07:58:12 | 25.8200 | -114.7500 | 42 | mbt
944149 | 1950-03-09 00:10:12 | 25.4300 | -113.4700 | 13 | mbt
944153 | 1950-03-09 13:55:12 | 25.0000 | -112.8300 | 13 | mbt


The time difference looks ok, but spatial separation it is incorrect. For example, consider the cast ids 944149 and 944153 (the last two) from the above results.



 944149 | 1950-03-09 00:10:12 | 25.4300 | -113.4700 | 13 | mbt
944153 | 1950-03-09 13:55:12 | 25.0000 | -112.8300 | 13 | mbt


The distance seems to be greater than 5 km.
Thus, is not fulfilling my duplicated definition (< 5km; < 25 hours)



Could you help me to identify my error?










share|improve this question









New contributor




Amaru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












I have a table with metadata about sampling locations in the ocean. It includes geographic coordinates, date-time in which sampling was done the number of vertical measurements in each location (nlevels), and the kid of instrument used to take samples (instrument column).



Due to this particular dataset came from historical records, it can include duplicates that I would like to identify using spatiotemporal criteria (allowing rounding errors in spatial coordinates). I would like to detect all stations separated by a distance less than 5km and a temporal difference less than 25 hours



My code for testing was:



CREATE TABLE dups_v2 AS SELECT DISTINCT ON (t1.cast_id) t1.cast_id, t1.date, t1.date_time ,t1.lat, t1.lon, t1.nlevels, t1.instrument 
FROM good_dates t1 JOIN good_dates t2
ON ST_DWithin(t1.geom::geography, t2.geom::geography, 5000.0, true)
WHERE AGE(t1.date_time, t2.date_time) < interval '1 days 01:00:00' AND t1.cast_id <> t2.cast_id


The create table looks like:



cast_id | date_time | lat | lon | nlevels | instrument 
----------+---------------------+---------+-----------+---------+------------
943046 | 1950-02-03 05:00:00 | 25.9200 | -114.5500 | 25 | mbt
177584 | 1950-02-03 08:00:00 | 25.8200 | -114.8080 | 14 | osd
943053 | 1950-02-03 08:06:00 | 25.8200 | -114.7700 | 24 | mbt
943059 | 1950-02-03 10:00:00 | 25.7000 | -114.9700 | 22 | mbt
4369553 | 1950-03-05 00:00:00 | 25.7720 | -114.8570 | 40 | mbt
4369511 | 1950-03-05 04:00:00 | 25.9500 | -114.5000 | 38 | mbt
4369514 | 1950-03-05 05:00:00 | 25.8700 | -114.6500 | 39 | mbt
178401 | 1950-03-05 07:54:00 | 25.8580 | -114.7500 | 8 | osd
4369529 | 1950-03-05 07:58:12 | 25.8200 | -114.7500 | 42 | mbt
944149 | 1950-03-09 00:10:12 | 25.4300 | -113.4700 | 13 | mbt
944153 | 1950-03-09 13:55:12 | 25.0000 | -112.8300 | 13 | mbt


The time difference looks ok, but spatial separation it is incorrect. For example, consider the cast ids 944149 and 944153 (the last two) from the above results.



 944149 | 1950-03-09 00:10:12 | 25.4300 | -113.4700 | 13 | mbt
944153 | 1950-03-09 13:55:12 | 25.0000 | -112.8300 | 13 | mbt


The distance seems to be greater than 5 km.
Thus, is not fulfilling my duplicated definition (< 5km; < 25 hours)



Could you help me to identify my error?







postgis spatio-temporal-data duplication






share|improve this question









New contributor




Amaru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question









New contributor




Amaru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this question




share|improve this question








edited Apr 3 at 8:12









John Powell

10.9k43050




10.9k43050






New contributor




Amaru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked Mar 31 at 2:33









AmaruAmaru

112




112




New contributor




Amaru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





Amaru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Amaru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












  • You haven't attempted a temporal deconfliction constraint, so there's no indication what your time column might be. When doing a self join, you need a WHERE constraint to eliminate identity (t2.id <> t1.id) or previous clusters (t2.id > t1.id). It's not clear what your SRID is so the significance of your search distance is unclear. If you use or cast to geography, you can use a geodetic search in meters (though you need to index appropriately if casting)

    – Vince
    Mar 31 at 12:38











  • I followed your suggestion using WHERE to eliminate identity. Also, I used geography to get the distance in meters. The list of duplicates makes sense to me but I am struggling with the date. I am going to edit my question.

    – Amaru
    Mar 31 at 20:03











  • Asking for help with the age operator is probably more in the realm of Database Administrators

    – Vince
    Mar 31 at 20:11






  • 2





    Where does nlevels come from? I think you need the rank function, but, I am unclear on the question. Ignore @Vince, there are plenty of us here who can cope with time as well as space :-)

    – John Powell
    Apr 1 at 14:17







  • 1





    The problem, I think, is that if you use the distance in meters in ST_DWithin, where the input data are in lat/lon, 4326, then you need to cast to geography not geometry. If you use the first form, then the geometries need to be in a projected coordinate system where the units are in meters. It isn't clear from the question what SRID you are using.

    – John Powell
    Apr 3 at 5:50

















  • You haven't attempted a temporal deconfliction constraint, so there's no indication what your time column might be. When doing a self join, you need a WHERE constraint to eliminate identity (t2.id <> t1.id) or previous clusters (t2.id > t1.id). It's not clear what your SRID is so the significance of your search distance is unclear. If you use or cast to geography, you can use a geodetic search in meters (though you need to index appropriately if casting)

    – Vince
    Mar 31 at 12:38











  • I followed your suggestion using WHERE to eliminate identity. Also, I used geography to get the distance in meters. The list of duplicates makes sense to me but I am struggling with the date. I am going to edit my question.

    – Amaru
    Mar 31 at 20:03











  • Asking for help with the age operator is probably more in the realm of Database Administrators

    – Vince
    Mar 31 at 20:11






  • 2





    Where does nlevels come from? I think you need the rank function, but, I am unclear on the question. Ignore @Vince, there are plenty of us here who can cope with time as well as space :-)

    – John Powell
    Apr 1 at 14:17







  • 1





    The problem, I think, is that if you use the distance in meters in ST_DWithin, where the input data are in lat/lon, 4326, then you need to cast to geography not geometry. If you use the first form, then the geometries need to be in a projected coordinate system where the units are in meters. It isn't clear from the question what SRID you are using.

    – John Powell
    Apr 3 at 5:50
















You haven't attempted a temporal deconfliction constraint, so there's no indication what your time column might be. When doing a self join, you need a WHERE constraint to eliminate identity (t2.id <> t1.id) or previous clusters (t2.id > t1.id). It's not clear what your SRID is so the significance of your search distance is unclear. If you use or cast to geography, you can use a geodetic search in meters (though you need to index appropriately if casting)

– Vince
Mar 31 at 12:38





You haven't attempted a temporal deconfliction constraint, so there's no indication what your time column might be. When doing a self join, you need a WHERE constraint to eliminate identity (t2.id <> t1.id) or previous clusters (t2.id > t1.id). It's not clear what your SRID is so the significance of your search distance is unclear. If you use or cast to geography, you can use a geodetic search in meters (though you need to index appropriately if casting)

– Vince
Mar 31 at 12:38













I followed your suggestion using WHERE to eliminate identity. Also, I used geography to get the distance in meters. The list of duplicates makes sense to me but I am struggling with the date. I am going to edit my question.

– Amaru
Mar 31 at 20:03





I followed your suggestion using WHERE to eliminate identity. Also, I used geography to get the distance in meters. The list of duplicates makes sense to me but I am struggling with the date. I am going to edit my question.

– Amaru
Mar 31 at 20:03













Asking for help with the age operator is probably more in the realm of Database Administrators

– Vince
Mar 31 at 20:11





Asking for help with the age operator is probably more in the realm of Database Administrators

– Vince
Mar 31 at 20:11




2




2





Where does nlevels come from? I think you need the rank function, but, I am unclear on the question. Ignore @Vince, there are plenty of us here who can cope with time as well as space :-)

– John Powell
Apr 1 at 14:17






Where does nlevels come from? I think you need the rank function, but, I am unclear on the question. Ignore @Vince, there are plenty of us here who can cope with time as well as space :-)

– John Powell
Apr 1 at 14:17





1




1





The problem, I think, is that if you use the distance in meters in ST_DWithin, where the input data are in lat/lon, 4326, then you need to cast to geography not geometry. If you use the first form, then the geometries need to be in a projected coordinate system where the units are in meters. It isn't clear from the question what SRID you are using.

– John Powell
Apr 3 at 5:50





The problem, I think, is that if you use the distance in meters in ST_DWithin, where the input data are in lat/lon, 4326, then you need to cast to geography not geometry. If you use the first form, then the geometries need to be in a projected coordinate system where the units are in meters. It isn't clear from the question what SRID you are using.

– John Powell
Apr 3 at 5:50










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