CITATION.cff

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