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and Heating","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# Points for Energy Renovation (PointER): \n## A LiDAR-Derived Point Cloud Dataset of One Million English Buildings Linked to Energy Characteristics\n\n## Getting Started\n- Please see our [setup documentation](documentation/DB_CONTAINER_SETUP.md) for a step by step description.\n- Please check our [related open access paper](https://www.nature.com/articles/s41597-023-02544-x) for information about the method and the resulting dataset. \n- A dataset comprising one million building point clouds with half of the buildings linked to energy features is available [here](https://mediatum.ub.tum.de/1713501).\n\n## Prerequisites\n- Required packages are documented in the [environment.yml](environment.yml) file. \n- The [environment_for_analysis.yml](environment_for_analysis.yml) includes some more packages required for visualization and analysis.\n\n## Running the Code\n- To run an example point cloud generation, please use the [jupyter notebook](experimentation/building_pointcloud_generation.ipynb).\n- To run the point cloud generation for an entire area of interest, please see the [point cloud generation documentation](documentation/RUN_POINTCLOUD_GENERATION.md).\n- The main program can be found [here](src/building_pointcloud_main.py). Please note, that the point cloud generation process involves some upfront data preparation.\n\nThe process involves 6 steps:\n\n![img](/assets/images/overview.png)\n\nDue to the size of the point cloud files, it is recommended to set up the container on a machine with a large working memory. \nWe ran the code without problems on a machine with 48 GB, but a machine with 16 GB or more should work.\n\n## Dataset\nThe [dataset](https://mediatum.ub.tum.de/1713501) contains one million building point clouds for 16 Local Authority Districts in England.\nThese Local Authority Districts are representative for the English building stock and selected across the country (see image).\n\n![img](/assets/images/LAD_selected.png)\n\nThis is an example of a resulting point cloud:\n![img](/assets/images/example.png)\n\n## Data Sources\n- Point cloud data (.laz): [UK National LiDAR Programme](https://www.data.gov.uk/dataset/f0db0249-f17b-4036-9e65-309148c97ce4/national-lidar-programme)\n  - Open Government Licencse\n- We use [Verisk UKBuildings database](https://www.verisk.com/en-gb/3d-visual-intelligence/products/ukbuildings/) (.gpkg format) as building footprints\n  - License for personal use only\n  - Alternatively, we can use OSM data\n- [Local Authority Distric Boundaries](https://geoportal.statistics.gov.uk/) (.shp format) \n  - Open Government Licencse\n- [Unique Property Reference Numbers](https://www.ordnancesurvey.co.uk/business-government/products/open-uprn) (UPRN) including coordinates (.gpkg format) \n  - Open Government Licencse\n\n\n## Versioning\nV0.1 Initial version\n\n## Citation\n\n    @article{Krapf2023,\n      doi = {10.1038/s41597-023-02544-x},\n      url = {https://doi.org/10.1038/s41597-023-02544-x},\n      year = {2023},\n      publisher = {Springer Science and Business Media {LLC}},\n      volume = {10},\n      author = {Sebastian Krapf and Kevin Mayer and Martin Fischer},\n      title = {Points for energy renovation ({PointER}): A point cloud dataset of a million buildings linked to energy features},\n      journal = {Scientific Data}\n    }\n\n## License\nThis project is licensed under the [MIT License](LICENSE).\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.1038/s41597-023-02544-x"],"works":{"https://doi.org/10.1038/s41597-023-02544-x":{"id":"https://openalex.org/W4386889840","doi":"https://doi.org/10.1038/s41597-023-02544-x","title":"Points for energy renovation (PointER): A point cloud dataset of a million buildings linked to energy features","display_name":"Points for energy renovation (PointER): A point cloud dataset of a million buildings linked to energy features","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4386889840","doi":"https://doi.org/10.1038/s41597-023-02544-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/37730863"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41597-023-02544-x","pdf_url":"https://www.nature.com/articles/s41597-023-02544-x.pdf","source":{"id":"https://openalex.org/S2607323502","display_name":"Scientific Data","issn_l":"2052-4463","issn":["2052-4463"],"is_oa":true,"is_in_doaj":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41597-023-02544-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084507389","display_name":"Sebastian Krapf","orcid":"https://orcid.org/0000-0002-7866-1998"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Krapf","raw_affiliation_string":"Institute of Automotive Technology, Department of Mechanical Engineering, TUM School of Engineering and Design, Technical University of Munich, Garching b. 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