3D Registration of Buildings and Addresses (BAG) 2019
FR
4TU.Centre for Research Datavia 4TU.ResearchData (via DataCite) · bijgewerkt 2 april 2019
Wat erin zit
Snapshot of the BAG data at 2019-02-25. Parent item: 3D Registration of Buildings and Addresses (BAG) The 3D BAG is a register of addresses and buildings of the Netherlands, including building height information and related quality metrics. The data set is updated every month, keeping it up-to-date with the latest building stock and elevation information. The 3D BAG is generated from two data sources, the Dutch national register of addresses and buildings (Basisregistraties Adressen en Gebouwen (BAG)) and the national elevation model (AHN).
Bestanden en diensten
- DataCite REST API (JSON)api.datacite.orgOpenen
Vergelijkbare datasets
3D Registration of Buildings and Addresses (BAG) 20204TU.ResearchData3D Registration of Buildings and Addresses (BAG) latest data4TU.Centre for Research Data3D Registration of Buildings and Addresses (BAG) / 3D Basisregistratie Adressen en Gebouwen (BAG)4TU.Centre for Research Data3D Registration of Buildings and Addresses (BAG) v2024.02.284TU.ResearchData3D Registration of Buildings and Addresses (BAG) v2023.10.084TU.ResearchDataConstruction; building costs, building phase, type of buildingCBSEngineering: Building with Nature 101x video #10 - Integrated Building with Nature Design Assignment.TU DelftEngineering: Building with Nature 101x video #02 - Why Building with Nature?TU Delft
Meer van 4TU.Centre for Research Data2.241 datasets
Kite power flight data acquired on 24 March 2017Kite power flight data acquired on 24 March 2017Supplementary materials for the article: Five-Point Likert Items: t test versus Mann-Whitney-WilcoxonSupplementary materials for the article: Five-Point Likert Items: t test versus Mann-Whitney-WilcoxonSupplementary data for the article: External human-machine interfaces on automated vehicles: Effects on pedestrian crossing decisionsSupplementary data for the article: External human-machine interfaces on automated vehicles: Effects on pedestrian crossing decisions