PointCloud: Unterschied zwischen den Versionen
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Stefan (Diskussion | Beiträge) K (Die Seite wurde neu angelegt: „pointcloud is a PostgreSQL extension. See [http://wiki.hsr.ch/StefanKeller/wiki.cgi?PointCloudStudy Point Cloud Study] Tipps: * The only application that su…“) |
Stefan (Diskussion | Beiträge) K |
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pointcloud is a [[PostgreSQL]] extension. | pointcloud is a [[PostgreSQL]] extension. | ||
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Tipps: | Tipps: | ||
* The only application that supports working with the database "programmatically" is PDAL. | * The only application that supports working with the database "programmatically" is PDAL. | ||
* For visualization, (check if pointcloud_postgis extension is installed, then:) create views or tables using the casts from pcpoint>geometry and pcpatch>geometry to make tables one can look at in [[QGIS]] or [[GeoServer]] | * For visualization, (check if pointcloud_postgis extension is installed, then:) create views or tables using the casts from pcpoint>geometry and pcpatch>geometry to make tables one can look at in [[QGIS]] or [[GeoServer]] | ||
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| + | Presentation about pointcloud (deutsch/german): Stefan Keller (2013): ''Point Cloud - Erfahrungen mit PostgreSQL Extensions und Big Data''. In: Deutschsprachige PostgreSQL-Konferenz 2013 (PGConf.DE 2013), November 2013, Oberhausen, http://2013.pgconf.de/ . [http://www.postgresql.eu/events/schedule/pgconfde2013/session/524-point-cloud-erfahrungen-mit-postgresql-extensions-und-big-data/ Abstract], [https://wiki.postgresql.org/images/0/01/PGConf_DE_2013_Praesentation_v2_Keller.pdf Slides] | ||
Version vom 29. Januar 2014, 21:13 Uhr
pointcloud is a PostgreSQL extension.
Tipps:
- The only application that supports working with the database "programmatically" is PDAL.
- For visualization, (check if pointcloud_postgis extension is installed, then:) create views or tables using the casts from pcpoint>geometry and pcpatch>geometry to make tables one can look at in QGIS or GeoServer
Presentation about pointcloud (deutsch/german): Stefan Keller (2013): Point Cloud - Erfahrungen mit PostgreSQL Extensions und Big Data. In: Deutschsprachige PostgreSQL-Konferenz 2013 (PGConf.DE 2013), November 2013, Oberhausen, http://2013.pgconf.de/ . Abstract, Slides
