{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T08:15:23Z","timestamp":1772612123731,"version":"3.50.1"},"reference-count":69,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2016,8,9]],"date-time":"2016-08-09T00:00:00Z","timestamp":1470700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Knowledge of the German building stock is largely based on census data and annual construction statistics. Despite the wide range of statistical data, they are constrained in terms of temporal, thematic and spatial resolution, and hence do not satisfy all requirements of spatial planning and research. In this paper, we describe a new workflow for data integration that allows the quantification of the structure and dynamic of national building stocks by analyzing authoritative geodata. The proposed workflow has been developed, tested and demonstrated exemplarily for the whole country of Germany. We use nationwide and commonly available authoritative geodata products such as building footprint and address data derived from the real estate cadaster and land use information from the digital landscape model. The processing steps are (1) data preprocessing; (2) the calculation of building attributes; (3) semantic enrichment of the building using a classification tree; (4) the intersection with spatial units; and finally (5) the quantification and cartographic visualization of the building structure and dynamic. Applying the workflow to German authoritative geodata, it was possible to describe the entire building stock by 48 million polygons at different scale levels. Approximately one third of the total building stock are outbuildings. The methodological approach reveals that 62% of residential buildings are detached, 80% semi-detached and 20% terraced houses. The approach and the novel database will be very valuable for urban and energy modeling, material flow analysis, risk assessment and facility management.<\/jats:p>","DOI":"10.3390\/ijgi5080142","type":"journal-article","created":{"date-parts":[[2016,8,9]],"date-time":"2016-08-09T09:14:10Z","timestamp":1470734050000},"page":"142","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A Workflow for Automatic Quantification of Structure and Dynamic of the German Building Stock Using Official Spatial Data"],"prefix":"10.3390","volume":"5","author":[{"given":"Andr\u00e9","family":"Hartmann","sequence":"first","affiliation":[{"name":"Leibniz Institute of Ecological Urban and Regional Development, Weberplatz 1, Dresden 01217, Germany"}]},{"given":"Gotthard","family":"Meinel","sequence":"additional","affiliation":[{"name":"Leibniz Institute of Ecological Urban and Regional Development, Weberplatz 1, Dresden 01217, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8420-7233","authenticated-orcid":false,"given":"Robert","family":"Hecht","sequence":"additional","affiliation":[{"name":"Leibniz Institute of Ecological Urban and Regional Development, Weberplatz 1, Dresden 01217, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4590-6757","authenticated-orcid":false,"given":"Martin","family":"Behnisch","sequence":"additional","affiliation":[{"name":"Leibniz Institute of Ecological Urban and Regional Development, Weberplatz 1, Dresden 01217, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2016,8,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"151","DOI":"10.3112\/erdkunde.2013.02.04","article-title":"Using Quadtree representations in building stock visualization and analysis","volume":"67","author":"Behnisch","year":"2013","journal-title":"Erdkunde"},{"key":"ref_2","unstructured":"RatSWD Endbericht der AG \u201cGeoreferenzierung von Daten\u201d des RatSWD. Available online: http:\/\/ratswd.de\/Geodaten\/downloads\/RatSWD_Endbericht_Geo-AG.pdf."},{"key":"ref_3","unstructured":"BPIE Europes Buildings under the Microscope: A Country-by-Country Review of the Energy Performance of Buildings. Available online: http:\/\/bpie.eu\/publication\/europes-buildings-under-the-microscope\/."},{"key":"ref_4","unstructured":"European Commission (2011). Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Energy Efficiency Plan 2011, European Commission."},{"key":"ref_5","unstructured":"BPIE Renovating Germany\u2019s Building Stock. Available online: http:\/\/bpie.eu\/wp-content\/uploads\/2016\/02\/BPIE_Renovating-Germany-s-Building-Stock-_EN_09.pdf."},{"key":"ref_6","unstructured":"Diefenbach, N., Cischinsky, H., Rodenfels, M., and Clausnitzer, K.D. (2010). Datenbasis Geb\u00e4udebestand, Institut Wohnen und Umwelt (IWU)."},{"key":"ref_7","unstructured":"Loga, T., Diefenbach, N., Balaras, C., Dascalaki, E., Zavrl, M.S., Rakuscek, A., Corrado, V., Corgnati, S., Despretz, H., and Roarty, C. Use of Building Typologies for Energy Performance Assessment of National Building Stocks. Existent Experiences in European Countries and Common Approach\u2014First TABULA Synthesis Report. Available online: http:\/\/www.buildup.eu\/node\/9927."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1080\/09613210903189384","article-title":"Research on the building stock and its applications","volume":"37","author":"Kohler","year":"2009","journal-title":"Build. Res. Inf."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1068\/bst13","article-title":"Inferences about built form, construction, and fabric in the nondomestic building stock of England and Wales","volume":"27","author":"Steadman","year":"2000","journal-title":"Environ. Plan. B Plan. Des."},{"key":"ref_10","first-page":"13","article-title":"Geb\u00e4udebestand in Westeuropa: Fast 17 Mrd. M2 wohn-und nutzfl\u00e4che, ausgew\u00e4hlte ergebnisse der studie; \u201cEUROPARC\u2014Der bestand an geb\u00e4uden in Europa\u201d","volume":"12","year":"1999","journal-title":"Ifo-Schnelldienst"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Kohler, N., Hassler, U., and Paschen, H. (1999). Stoffstr\u00f6me und Kosten im Bereich Bauen und Wohnen. Studie im Auftrag der Enquete Kommission zum Schutz von Mensch und Umwelt des deutschen Bundestages, Springer.","DOI":"10.1007\/978-3-642-58503-6"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1068\/bst5","article-title":"Three-dimensional representation of urban built form in a GIS","volume":"27","author":"Holtier","year":"2000","journal-title":"Environ. Plan. B Plan. Des."},{"key":"ref_13","unstructured":"K\u00f6hler, T., and Schnitzer, B. Urban Mining Cadastre\u2014A Geospatial Data Challenge. Available online: http:\/\/www.fig.net\/resources\/proceedings\/fig_proceedings\/fig2014\/papers\/ts09h\/TS09H_schnitzer_koehler_6946.pdf."},{"key":"ref_14","unstructured":"Itard, L., and Meijer, F. (2008). Towards a Sustainable Northern European Housing Stock, IOS Press."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1080\/09613210110102238","article-title":"The building stock as a research object","volume":"30","author":"Kohler","year":"2002","journal-title":"Build. Res. Inf."},{"key":"ref_16","unstructured":"Clausnitzer, K.-D., Eikmeier, B., Jan\u00dfen, K., Rhode, C., and Steinbach, J. (2014). Datenquellen zur Erfassung Statistischer Basisdaten zum Nichtwohngeb\u00e4udebestand, Fraunhofer IFAM."},{"key":"ref_17","unstructured":"Gierga, M., and Erhorn, H. (1993). Bestand und Typologie Beheizter Nichtwohngeb\u00e4ude in West-Deutschland, Forschungszentrum J\u00fclich. Teilbericht Nr. 5-14 zum Forschungsprojekt IKARUS."},{"key":"ref_18","unstructured":"Itard, L., Meijer, F., Vrins, E., and Hoiting, H. (2008). Building Renovation and Modernisation in Europe: State of the Art Review, Delft University of Technology. ERABUILT Final Report."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Fink, A., Lausen, B., Seidel, W., and Ultsch, A. (2009). Advances in Data Analysis, Data Handling and Business Intelligence, Springer.","DOI":"10.1007\/978-3-642-01044-6"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1068\/bst6","article-title":"Property taxation data for nondomestic buildings in England and Wales","volume":"27","author":"Bruhns","year":"2000","journal-title":"Environ. Plan. B"},{"key":"ref_21","unstructured":"Bloem, H., Bogulawski, R., Borzachiello, M.T., Kona, A., Martirano, G., Maschio, I., and Pignatelli, F. (2015). Spatial Data for Modelling Building Stock Energy Needs: Annex to the Proceedings of the Workshop: Participants\u2019 Contributions, Publications Office of the European Union. EUR 27747."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"143","DOI":"10.14358\/PERS.69.2.143","article-title":"Class-Guided building extraction from IKONOS imagery","volume":"69","author":"Lee","year":"2003","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_23","first-page":"109","article-title":"Urban building inventory development using very high-resolution remote sensing data for urban risk analysis","volume":"1","author":"Dutta","year":"2005","journal-title":"Int. J. Geoinform."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Jin, X., and Davis, C.H. (2005). Automated building extraction from high-resolution satellite imagery in urban areas using structural, contextual, and spectral information. EURASIP J. Adv. Signal Process.","DOI":"10.1155\/ASP.2005.2196"},{"key":"ref_25","first-page":"2583","article-title":"GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environments","volume":"34","author":"Aguilar","year":"2013","journal-title":"IJRS"},{"key":"ref_26","unstructured":"Baltsavias, E.P., Gruen, A., and Van Gool, L. (2001). Automatic Extraction of Man-Made Objects from Aerial and Space Images III, A.A. Balkema Publishers."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Gruen, A., Kuebler, O., and Agouris, P. (1995). Automatic Extraction of Man-Made Objects from Aerial and Space Images, Birkh\u00e4user.","DOI":"10.1007\/978-3-0348-9242-1"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Gruen, A., Baltsavias, E.P., and Henricsson, O. (1997). Automatic Extraction of Man-Made Objects from Aerial and Space Images (II), Birkh\u00e4user.","DOI":"10.1007\/978-3-0348-8906-3"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1006\/cviu.1999.0750","article-title":"Automatic object extraction from aerial imagery\u2014A survey focusing on buildings","volume":"74","author":"Mayer","year":"1999","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1061\/(ASCE)0733-9453(2005)131:1(27)","article-title":"Quality of building extraction from IKONOS imagery","volume":"131","author":"Shan","year":"2005","journal-title":"J. Surv. Eng."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.3390\/rs2051217","article-title":"Automatic detection of buildings and changes in buildings for updating of maps","volume":"2","author":"Matikainen","year":"2010","journal-title":"Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1188","DOI":"10.3390\/rs3061188","article-title":"Evaluation of automatic building detection approaches combining high resolution images and LiDAR data","volume":"3","author":"Hermosilla","year":"2011","journal-title":"Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.isprsjprs.2007.01.001","article-title":"Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction","volume":"62","author":"Sohn","year":"2007","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1080\/23729333.2015.1055644","article-title":"Automatic identification of building types based on topographic databases\u2014A comparison of different data sources","volume":"1","author":"Hecht","year":"2015","journal-title":"Int. J. Cartogr."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1447","DOI":"10.3390\/rs3071447","article-title":"Remote sensing-based characterization of settlement structures for assessing local potential of district heat","volume":"3","author":"Wurm","year":"2011","journal-title":"Remote Sens."},{"key":"ref_36","first-page":"715","article-title":"Identifying building types and building clusters using 3D-laser scanning and GIS-data","volume":"35","author":"Neidhart","year":"2004","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Werder, S., Kieler, B., and Sester, M. (2010, January 2\u20135). Semi-automatic interpretation of buildings and settlement areas in user-generated spatial data. Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, San Jose, CA, USA.","DOI":"10.1145\/1869790.1869836"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1111\/j.1467-9671.2008.01085.x","article-title":"An approach for the classification of urban building structures based on discriminant analysis techniques","volume":"12","author":"Steiniger","year":"2008","journal-title":"Trans. GIS"},{"key":"ref_39","unstructured":"Huang, H., Kieler, B., and Sester, M. (2013, January 25\u201330). Urban building usage labeling by geometric and context analysis of the footpint data. Proceedings of the 26th International Cartographic Conference (ICC), Dresden, Germany."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1901","DOI":"10.1109\/JSTARS.2015.2465131","article-title":"Building types\u2019 classification using shape-based features and linear discriminant functions","volume":"9","author":"Wurm","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_41","unstructured":"Rengelink, M., van Oosterom, P.J.M., Quak, C.W., and Verbree, E. (2000, January 11\u201315). Automatic derivation and classification of houses on a cadastral map. Proceedings of the UDMS 2000, 22nd Urban Data Management Symposium, Delft, The Netherlands."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.compenvurbsys.2006.08.003","article-title":"Modelling UK residential dwelling types using OS Mastermap data: A comparison to the 2001 census","volume":"31","author":"Orford","year":"2007","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_43","unstructured":"Smith, D., and Crooks, A. (2010). From Buildings to Cities: Techniques for the Multi-Scale Analysis of Urban Form and Function, Centre for Advanced Spatial Analysis (UCL). CASA Working Papers 155."},{"key":"ref_44","unstructured":"Rainsford, D., and Mackaness, W.A. (2002). Advances in Spatial Data Handling, Springer."},{"key":"ref_45","unstructured":"Thomson, M.-K. (2009). Dwelling on Ontology\u2014Semantic Reasoning over Topographic Maps. [Ph.D. Thesis, University College London]."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/j.compenvurbsys.2009.07.005","article-title":"Integrating ontological modelling and Bayesian inference for pattern classification in topographic vector data","volume":"33","author":"Weibel","year":"2009","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1080\/09613210903159833","article-title":"Analyzing building stock using topographic maps and GIS","volume":"37","author":"Meinel","year":"2009","journal-title":"Build. Res. Inf."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Wurm, M., Taubenb\u00f6ck, H., Roth, A., and Dech, S. (2009, January 20\u201322). Urban structuring using multisensoral remote sensing data: By the example of the German cities Cologne and Dresden. Proceedings of the 2009 Joint Urban Remote Sensing Event, Shanghai, China.","DOI":"10.1109\/URS.2009.5137555"},{"key":"ref_49","unstructured":"Fan, H., Zipf, A., and Fu, Q. (2014, January 3\u20136). Estimation of building types on OpenStreetMap based on urban morphology analysis. Proceedings of the 17th AGILE Conference on Geographic Information Science, Castellon, Spain."},{"key":"ref_50","unstructured":"European Parliament and Council (2010). Directive 2010\/31\/EU of the European parliament and of the council of 19 May 2010 on the energy performance of buildings. Off. J. Eur. Union, 18, 13\u201335."},{"key":"ref_51","unstructured":"Eurostat (1998). Classification of Types of Construction, Eurostat."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1080\/09613210903169394","article-title":"Urban stock over time: Spatial material stock analysis using 4D-GIS","volume":"37","author":"Tanikawa","year":"2009","journal-title":"Build. Res. Inf."},{"key":"ref_53","unstructured":"Bundesinstitut f\u00fcr Bau-, Stadt- und Raumforschung Die Europ\u00e4ische bauwirtschaft. Available online: http:\/\/www.bbsr.bund.de\/BBSR\/DE\/Veroeffentlichungen\/BerichteKompakt\/2010\/DL_8_2010.pdf?__blob=publicationFile&v=2."},{"key":"ref_54","unstructured":"Oxford Economics (2009). Global Construction Perspectives\u2014Global Construction 2020, Oxford Economics."},{"key":"ref_55","unstructured":"European Commission Joint Research Centre (2013). INSPIRE Data Specification for the Spatial Data Theme Building, Version 3.0, European Commission Joint Research Centre."},{"key":"ref_56","unstructured":"Zentrale Stelle Hauskoordinaten und Hausumringe (2015). Datenformatbeschreibung Hausumringe Deutschland (HU-DE), Zentrale Stelle Hauskoordinaten und Hausumringe (ZSHH), Version 2.2, ZSHH."},{"key":"ref_57","unstructured":"Zentrale Stelle Hauskoordinaten und Hausumringe (2015). Datenformatbeschreibung Hauskoordinaten Deutschland (HK-DE), Zentrale Stelle Hauskoordinaten und Hausumringe, Version 4.0, ZSHH."},{"key":"ref_58","unstructured":"Arbeitsgemeinschaft der Vermessungsverwaltungen ATKIS-Objektartenkatalog Basis-DLM, Version 6.0. Available online: http:\/\/www.adv-online.de\/AAA-Modell\/Dokumente-der-GeoInfoDok\/GeoInfoDok-6.0\/."},{"key":"ref_59","unstructured":"Regierung Mecklenburg Vorpommern, Landesbauordnung Mecklenburg-Vorpommern (LbauO, M.-V.). Available online: http:\/\/www.bauordnungen.de\/Mecklenburg-Vorpommern.htm."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1182","DOI":"10.1090\/S0002-9904-1978-14553-4","article-title":"Isoperimetric inequality","volume":"84","author":"Ossermann","year":"1973","journal-title":"Bull. Am. Math. Soc."},{"key":"ref_61","unstructured":"IS-ARGEBAU, Musterbauordnung, Bauministerkonferenz, 2002. Available online: https:\/\/www.bauministerkonferenz.de\/lbo\/VTMB102.pdf."},{"key":"ref_62","first-page":"276","article-title":"Gebietsreformen und verwaltungsgrenzen: Zum aufbau einer verwaltungsgebietsgeometrie VG25 aus dem ATKIS basis-landschaftsmodell","volume":"5","author":"Schumacher","year":"2013","journal-title":"Kartogr. Nachr."},{"key":"ref_63","unstructured":"DESTATIS Geb\u00e4ude und Wohnungen. Lange Reihen 1969\u20132014. Available online: https:\/\/www.destatis.de\/DE\/ZahlenFakten\/Wirtschaftsbereiche\/Bauen\/Bauen\/."},{"key":"ref_64","unstructured":"ISO (2013). Geographic Information\u2014Data quality EN ISO 19157, International Organization for Standardization."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s10707-011-0131-x","article-title":"Automatic classification of building types in 3D city models Using SVMs for semantic enrichment of low resolution building data","volume":"16","author":"Henn","year":"2012","journal-title":"GeoInformatica"},{"key":"ref_66","unstructured":"Revell, P., and Antoine, B. (2009, January 15\u201321). Automated matching of building features of differing levels of detail: A case study. Proceedings of the 24th International Cartographic Conference, Santiago, Chile."},{"key":"ref_67","first-page":"575","article-title":"The digital basic geodata sets \u201cHausumringe\u201d and \u201cHauskoordinaten\u201d\u2014Characterization and pre-processing for building stock analysis","volume":"6","author":"Burckhardt","year":"2013","journal-title":"Photogramm. Fernerkund. Geoinf."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1066","DOI":"10.3390\/ijgi2041066","article-title":"Measuring completeness of building footprints in OpenStreetMap over space and time","volume":"2","author":"Hecht","year":"2013","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1080\/13658816.2013.867495","article-title":"Quality assessment for building footprints data on OpenStreetMap","volume":"28","author":"Fan","year":"2014","journal-title":"Int. J. Geogr. Inf. Sci."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/5\/8\/142\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:28:01Z","timestamp":1760210881000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/5\/8\/142"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,9]]},"references-count":69,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2016,8]]}},"alternative-id":["ijgi5080142"],"URL":"https:\/\/doi.org\/10.3390\/ijgi5080142","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,8,9]]}}}