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Add CITATION.cff file for software citation metadata
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CITATION.cff

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cff-version: 1.2.0
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message: "If you use this software, please cite it using the metadata below."
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title: "City2TABULA"
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abstract: >
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A Go CLI tool that extracts, normalises, and enriches geometric and spatial
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attributes from LoD2/LoD3 3D building models stored in PostgreSQL/PostGIS
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(3DCityDB schema). Output feeds downstream TABULA/EPISCOPE-based building
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typology classification and heating demand estimation workflows.
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type: software
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version: "0.5.2-alpha"
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date-released: "2025-01-01"
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repository-code: "https://github.com/THD-Spatial-AI/city2tabula"
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license: Apache-2.0
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authors:
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- given-names: Jay
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family-names: Ravani
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email: jaykumar.ravani@th-deg.de
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orcid: "https://orcid.org/0009-0008-1307-6983"
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affiliation: "BigGeoData & Spatial AI, Technische Hochschule Deggendorf"
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keywords:
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- 3D city models
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- CityGML
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- CityJSON
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- data pipeline
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- classification
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- building typology
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- TABULA
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- EPISCOPE
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- PostGIS
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- heating demand
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- urban energy
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references:
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- type: article
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title: >
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3DCityDB - a 3D geodatabase solution for the management, analysis, and
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visualization of semantic 3D city models based on CityGML
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authors:
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- family-names: Yao
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given-names: Zhihang
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- family-names: Nagel
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given-names: Claus
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- family-names: Kunde
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given-names: Felix
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- family-names: Hudra
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given-names: György
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- family-names: Willkomm
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given-names: Philipp
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- family-names: Donaubauer
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given-names: Andreas
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- family-names: Adolphi
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given-names: Thomas
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- family-names: Kolbe
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given-names: Thomas H.
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journal: "Open Geospatial Data, Software and Standards"
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volume: 3
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issue: 5
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year: 2018
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doi: "10.1186/s40965-018-0046-7"
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url: "https://doi.org/10.1186/s40965-018-0046-7"

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