This feature layers in this group provide access to OpenStreetMap (OSM) data that is updated continuously by OSM contributors. The layers in this group are hosted feature layer views. The feature layer views each reference a hosted feature layer of OSM data (point, line, or polygon) in ArcGIS Online, which are updated with minutely diffs from the OSM planet file. The feature layers represent different types of features (e.g. buildings) that are defined as a query against one of the hosted feature layers.These layers are intended for visualization, analysis, and (eventually) export of the OSM data. Users can click on the features to get 'popup' info about a feature based on tags that have been applied by OSM contributors. Users can also change the symbology of features, or filter features by attributes, to highlight specific types of features (e.g. schools or hospitals).The layers have an automatic refresh interval of 1 minute so they will display new features, or update existing features, in the map as edits are made by other OSM contributors and refreshed in the layer cache. The layers have cache control settings ranging between 1 and 15 minutes, depending on update frequency, in order to optimize display performance and scalability.You can edit the OSM data through the OpenStreetMap Web site. The layer popups include links to view or edit individual features in the OpenStreetMap Web site. During the beta period, Esri will add more layers to the group for North America and other Regions, and make other enhancements to the layers to improve functionality and performance.

This layer contains pre-processed building footprints for Fort Collins, Colorado. This data was shared by the City as open data through the Esri Community Maps program and its new option for data sharing.This layer contains 78,206 buildings for the City, many of which do not already existing as building features in OpenStreetMap (OSM). The buildings for the City include a couple fields (building, addr:state) that have been prepared to be added as tags in OSM. The building field includes unique values for 4,769 buildings (with 'yes' values for the remainder).The processed building footprints referenced above were created using these Esri Data Processing Steps for Buildings and Addresses, developed and refined while doing data prep for several city and county communities in the United States.OSM Editor ToolsThis layer is accessible through new tools in OSM editors (e.g. updated version of RapiD) that enable OSM mappers to display the features on a map, select an individual feature to inspect its geometry and tags, and then use the feature for editing. OSM mappers should review the individual features and tags, and make any edits and additions that are appropriate, before selecting other features to edit and uploading edits to OSM.

This map features a set of live feature layers of OpenStreetMap (OSM) data for North America. The layers are updated every few minutes with the latest OSM data. The map contains bookmarks for several large cities in North America that you can browse, but you can explore any part of Canada, Greenland, Mexico, or the United States to see the OSM data in each layer.The feature layers in this map provide access to OSM data that is updated continuously by OSM contributors. The layers in this map are hosted feature layer views. The feature layer views each reference a hosted feature layer of OSM data (point, line, or polygon) in ArcGIS Online, which are updated with minutely diffs from the OSM planet file. The feature layers represent different types of features (e.g. buildings, highways, amenities) that are defined as a query against one of the hosted feature layers.These layers are intended for visualization, analysis, and (eventually) export of the OSM data. Users can click on the features to get 'popup' info about a feature based on tags that have been applied by OSM contributors. Users can also change the symbology of features, or filter features by attributes, to highlight specific types of features (e.g. schools or hospitals).The layers have an automatic refresh interval of varying lengths so they will display new features, or update existing features, in the map as edits are made by other OSM contributors and refreshed in the layer cache. The layers have cache control settings ranging between 1 and 15 minutes, depending on update frequency, in order to optimize display performance and scalability.You can edit the OSM data through the OpenStreetMap Web site or other OSM editors such as RapiD. The layer popups include links to view or edit individual features in the OpenStreetMap Web site. You can access these and other feature layers through the OpenStreetMap Layers group in the OpenStreetMap site maintained by Esri in ArcGIS Online.

Hospital locations and their services: This data is transmitted annually by the Institute for the Hospital Remuneration System (InEK) to the Federal Statistical Office. Not included are day clinics, purely private facilities and hospitals that did not report full-inpatient cases in 2016. Accessibility zones: The basis for the calculation of accessibility zones of hospitals is the road data base of the Open Community Project (OSM). With the help of the software Esri ArcGIS Desktop and the program extensions Network Analyst and ArcGIS Editor for OpenStreetMap, the relevant road data (geometric information and associated attributes) are extracted from the OSM data and converted into a routing-enabled network data model. This allows the calculation of accessibility zones, the so-called isochrons. The isochronic calculation is performed for discrete time zones of five to 90 minutes. Within a zone, there is no further distinction between driving times. The accessibility is indicated in the form of grid cells with a spatial resolution of 100 meters * 100 meters. Please note that the indicated travel times are derived model sizes, which may differ significantly from actual driving times. In particular, the current traffic situation or possible restrictions on road traffic, such as traffic jams, construction sites or road closures are NOT taken into account. Furthermore, no guarantee can be assumed for the correctness of the underlying road geometry and the driving speeds derived from it. The OSM database may contain inaccuracies or errors in both geometric and descriptive information. For example, missing road sections or incorrect access restrictions can prevent the connection of individual traffic areas to the rest of the road network. This can result in incorrect calculation results. Please note that the algorithm for calculating distance zones in the periphery of the road network may produce highly generalising results. This allows isolated island areas close to the coast to be colored, although they do not have a connection to a road network.

This layer contains address and height info (tags) for buildings in Orange County, California that can be added to existing and new building features in OpenStreetMap.Data SourceThe building footprints were downloaded in May 2022 from the ArcGIS Hub Open Data site.This layer contains 781,222 building centroid points for Orange CountyOSM Editor ToolsThis layer is accessible through new tools in OSM editors (e.g. updated version of RapiD) that enable OSM mappers to display the features on a map, select an individual feature to inspect its geometry and tags, and then use the feature for editing. OSM mappers should review the individual features and tags, and make any edits and additions that are appropriate, before selecting other features to edit and uploading edits to OSM.

This layer contains pre-processed building footprints with addresses and height for Sarpy County, Nebraska that can be used update to OpenStreetMap (OSM).Data SourceThe building footprints were downloaded in May 2020 from the Sarpy County GIS portal.This layer contains 79,340 buildings for Sarpy County. Of the total 79,340 building features, 61,670 buildings do not intersect an existing building in OSM and can be added.Features with an Import_2_OSM value of 1 (i.e. Import features, shown in Green) have no conflict and can be added to OSM. Features with an Import_2_OSM value of 0 (i.e. No Import features, shown in Red) conflict with existing buildings and should not be added.Of the 61,670 buildings for import, 48,860 have a complete street address with house number and an additional 2,855 have a street address with no house number.OSM Editor ToolsThis layer is accessible through new tools in OSM editors (e.g. updated version of RapiD) that enable OSM mappers to display the features on a map, select an individual feature to inspect its geometry and tags, and then use the feature for editing. OSM mappers should review the individual features and tags, and make any edits and additions that are appropriate, before selecting other features to edit and uploading edits to OSM.

The Canada Basemap – Transportation (CBMT) is a vector tile service that provides spatial reference context with an emphasis on transportation networks across Canada. It is designed especially for use as a background layer in a web mapping application or geographic information system (GIS). Access: Access is free of charge under the terms of the Open Government Licence - Canada. Data Sources: Data for the CBMT is sourced from multiple datasets. - Topographic data of Canada - CanVec Series. - “Automatically Extracted Buildings” GeoBase (a raw digital product in vector format automatically extracted from airborne Lidar data, high-resolution optical imagery or other sources). - Open Street Map (OSM) data available under the Open Database License (https://www.openstreetmap.org/copyright). - Official names from the Canadian Geographical Names Database (CGNDB). Geographic Coverage: CBMT has complete coverage of the world, with full datasets in Canada and only partial data in other parts of the world including boundaries, Country Names, and major cities. Data Update Frequency: Updates are applied monthly to reflect the latest updates in the source datasets. Projection: Data is provided in the EPSG:3857 (WGS84 Pseudo-Mercator) projected coordinate system. Layer Access: - CBMT is accessible via the ArcGIS Online item link with the applied style or it can also be accessed directly with the default style using the following Vector Tile Server: https://tiles.arcgis.com/tiles/HsjBaDykC1mjhXz9/arcgis/rest/services/CBMT_CBCT_3857_V_OSM/VectorTileServer - In QGIS or other applications that require the style JSON, the following link can be used: https://arcgis.com/sharing/rest/content/items/800d755712e8415aab301b9d55bc2800/resources/styles/root.json Use Cases: This layer is suitable for use in any map as a basemap layer and can be modified to meet the needs of the project by editing the JSON style in the Vector Tile Style editor. Additional Versions: - A geometry-only version (CBMT3857GEOM) and a text-only version (CBMT3857TXT) are available. - French versions of the basemap are accessible via the Carte de base du Canada - Transport 3857 V (CBCT3857).

This layer contains pre-processed address points for Richland County, North Dakota that can be added to OpenStreetMap.Data SourceThe address points were downloaded in June 2020 from the ArcGIS Hub Open Data site.There are 7,608 total address points. Of these, 7,588 addresses are not already represented as points in OSM and can be added. Features where Import_2_OSM = 1 can be added to OpenStreetMap.1 - no OSM conflict, and can be added2 - address point already exists in OSM and should not be added4 - point has no street address number and should not be added to OSMFeatures with an Import_2_OSM value of 1 (i.e. Import features, shown in Green) have no conflict and can be added to OSM. Features with an Import_2_OSM value of 2 (i.e. No Import features, shown in Red) conflict with existing addresses and should not be added. The layer is currently configured to only display the features that have no conflict and can be added to OSM.OSM Editor ToolsThis layer is accessible through new tools in OSM editors (e.g. updated version of RapiD) that enable OSM mappers to display the features on a map, select an individual feature to inspect its geometry and tags, and then use the feature for editing. OSM mappers should review the individual features and tags, and make any edits and additions that are appropriate, before selecting other features to edit and uploading edits to OSM.

Uredi za savjetovanje dužnika i stečaja u Njemačkoj: Baza podataka i metodologija: Koristit će se podaci iz opće dostupnih izvora. Vrsta naplate dužnikovih savjetodavnih usluga i usluga savjetovanja u slučaju nesolventnosti za ovaj zahtjev ne jamči potpunost i točnost dostavljenih konzultantskih društava jer se podaci o adresi generiraju isključivo iz vanjskih izvora. Napomena: Korisnicima se ne mogu pružiti informacije o preuzimanju troškova savjetovanja dužnika jer u cijeloj Njemačkoj ne postoji jedinstvena regulacija. Lokacije centara za savjetovanje o zaduženju:

Ako savjetodavni centar ima više lokacija i te su informacije javno dostupne, obje su lokacije prikazane u Atlasu.

Zone pristupačnosti savjetodavnih centara za dužnike:

Osnova za izračun zona pristupačnosti savjetodavnih centara dužnika je baza podataka o cestama otvorenog projekta OpenStreetMap (OSM).Uz pomoć softvera Esri ArcGIS Desktop i proširenja programa Network Analyst i ArcGIS Editor za OpenStreetMap relevantni podaci o cesti (geometrijske informacije i pridruženi atributi) izdvajaju se iz OSM podataka i pretvaraju u mrežni podatkovni model omogućen usmjeravanjem. To omogućuje izračun zona pristupačnosti, takozvanih izokrona. Izohronski izračun izvodi se za diskretne vremenske zone od pet do 90 minuta. Unutar zone ne postoji daljnja razlika između vremena vožnje. Dostupnost je naznačena u obliku mrežnih ćelija s prostornom razlučivošću od 100 metara * 100 metara.

Imajte na umu da su naznačeno vrijeme putovanja izvedene veličine modela koje se mogu znatno razlikovati od stvarnih vremena vožnje.Konkretno, trenutačno stanje u prometu ili moguća ograničenja cestovnog prometa, kao što su prometne gužve, gradilišta ili zatvaranje cesta, ne uzimaju se u obzir.

Nadalje, ne može se pretpostaviti nikakvo jamstvo za ispravnost osnovne geometrije ceste i brzine vožnje koja iz nje proizlazi. Baza podataka OSM-a može sadržavati netočnosti ili pogreške u geometrijskim i opisnim informacijama. Na primjer, nedostajuće dionice ceste ili neispravna ograničenja pristupa mogu spriječiti povezivanje pojedinih prometnih područja s ostatkom cestovne mreže. To može dovesti do netočnih rezultata izračuna. Imajte na umu da algoritam za izračunavanje zona udaljenosti na periferiji cestovne mreže može proizvesti vrlo općenite rezultate. Time se omogućuje bojanje izoliranih otočnih područja u blizini obale, iako nemaju veze s cestovnom mrežom. U načelu se ne može jamčiti točnost dostavljenih informacija i rezultata izračuna. Vrste strukturnih krugova naselja: Uz okružne vrste Federalnog instituta za graditeljstvo, urbana i prostorna istraživanja (BBSR), provodi se jednostavna grupna podjela 363 okruga u Njemačkoj. Za tipizaciju se koriste različite značajke strukture naselja: udio stanovništva u velikim i srednjim gradovima, gustoća naseljenosti regije okruga i gustoća naseljenosti regije okruga, ne uzimajući u obzir velike i srednje gradove (navesti:31.12.2017).

Podjela na strukturne vrste naselja služi kao alat za međuregionalne i međuregionalne usporedbe. Te vrste područja ne utvrđuju kategorije prostornih problema i ne predstavljaju funkcionalnu raspodjelu politike prostornog planiranja.Služe isključivo kao analitička mreža za kontinuirano prostorno promatranje i omogućuju usporedbe odgovarajućih vrsta regija.

Na temelju toga, tipovi strukturnih krugova naselja podijeljeni su u četiri skupine: Glavni gradovi bez okruga: Gradovi bez okruga s najmanje 100 000 stanovnika Gradska područja: Okruge s udjelom stanovništva u velikim i srednjim gradovima od najmanje 50 % i gustoćom naseljenosti od najmanje 150 stanovnika/km²; i četvrti s gustoćom naseljenosti bez velikih i srednjih gradova s najmanje 150 stanovnika/km² Seoski krugovi sa zbijanjem pristupa:Okruge s udjelom stanovništva u velikim i srednjim gradovima od najmanje 50 %, ali s gustoćom naseljenosti manjom od 150 stanovnika/km², i okruge s udjelom stanovništva u velikim i srednjim gradovima manjim od 50 % s gustoćom naseljenosti isključujući velike i srednje gradove s najmanje 100 stanovnika/km² Rijetko naseljeni seoski krugovi: Četvrti s udjelom stanovništva u velikim i srednjim gradovima ispod 50 % i gustoćom naseljenosti bez velikih i srednjih gradova s manje od 100 stanovnika/km² Daljnja objašnjenja mogu se pronaći na početnoj stranici Saveznog instituta za graditeljstvo, urbana i prostorna istraživanja (BBSR) u Saveznom uredu za gradnju i prostorno planiranje (BBR) na www.bbsr.bund.de

U Atlasu savjetovanja za dugove, udjeli stanovništva za Njemačku stratificirani tipovima strukturnih krugova naselja prikazani su u grafikonu pristupačnosti.

Pravna osnova: Pravna je osnova Savezni zakon o statistici (BStatG).

Više informacija o prezaduženosti privatnih osoba u Njemačkoj potražite u odjeljku Imovina i dug na: https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Einkommen-Konsum-Lebensbedingungen/Vermoegen-Schulden/_inhalt.htmlUredi za savjetovanje dužnika i stečaja u Njemačkoj:

Baza

The Canada Basemap – Transportation (CBMT) is a vector tile service that provides spatial reference context with an emphasis on transportation networks across Canada. It is designed especially for use as a background layer in a web mapping application or geographic information system (GIS). Access: Access is free of charge under the terms of the Open Government Licence - Canada. Data Sources: Data for the CBMT is sourced from multiple datasets. - Topographic data of Canada - CanVec Series. - “Automatically Extracted Buildings” GeoBase (a raw digital product in vector format automatically extracted from airborne Lidar data, high-resolution optical imagery or other sources). - Open Street Map (OSM) data available under the Open Database License (https://www.openstreetmap.org/copyright). - Official names from the Canadian Geographical Names Database (CGNDB). Geographic Coverage: CBMT has complete coverage of the world, with full datasets in Canada and only partial data in other parts of the world including boundaries, Country Names, and major cities. Data Update Frequency: Updates are applied monthly to reflect the latest updates in the source datasets. Projection: Data is provided in the EPSG:3857 (WGS84 Pseudo-Mercator) projected coordinate system. Layer Access: - CBMT is accessible via the ArcGIS Online item link with the applied style or it can also be accessed directly with the default style using the following Vector Tile Server: https://tiles.arcgis.com/tiles/HsjBaDykC1mjhXz9/arcgis/rest/services/CBMT_CBCT_3857_V_OSM/VectorTileServer - In QGIS or other applications that require the style JSON, the following link can be used: https://arcgis.com/sharing/rest/content/items/800d755712e8415aab301b9d55bc2800/resources/styles/root.json Use Cases: This layer is suitable for use in any map as a basemap layer and can be modified to meet the needs of the project by editing the JSON style in the Vector Tile Style editor. Additional Versions: - A geometry-only version (CBMT3857GEOM) and a text-only version (CBMT3857TXT) are available. - French versions of the basemap are accessible via the Carte de base du Canada - Transport 3857 V (CBCT3857).

Hospitaler og deres tjenester: Disse data overføres årligt af Institut for Hospitalsvederlagssystemet (InEK) til det føderale statistiske kontor. Ikke inkluderet er dagklinikker, rent private faciliteter og hospitaler, der ikke indberettede fuldt indlæggelsestilfælde i 2016. Tilgængelighedszoner: Grundlaget for beregningen af hospitalernes tilgængelighedszoner er vejdatabasen for Open Community Project (OSM). Ved hjælp af softwaren Esri ArcGIS Desktop og programudvidelserne Network Analyst og ArcGIS Editor for OpenStreetMap udtrækkes de relevante vejdata (geometriske oplysninger og tilknyttede attributter) fra OSM-dataene og konverteres til en routingaktiveret netværksdatamodel. Dette gør det muligt at beregne tilgængelighedszoner, de såkaldte isokroner. Den isokroniske beregning udføres for diskrete tidszoner på fem til 90 minutter. Inden for en zone skelnes der ikke yderligere mellem køretider. Tilgængeligheden er angivet i form af gitterceller med en rumlig opløsning på 100 meter * 100 meter. Bemærk venligst, at de angivne rejsetider er afledte modelstørrelser, som kan afvige væsentligt fra den faktiske køretid. Navnlig tages der ikke hensyn til den nuværende trafiksituation eller eventuelle begrænsninger af vejtrafikken, f.eks. trafikpropper, byggepladser eller lukninger af veje. Desuden kan der ikke antages at være nogen garanti for rigtigheden af den underliggende vejgeometri og de deraf afledte kørehastigheder. OSM-databasen kan indeholde unøjagtigheder eller fejl i både geometriske og beskrivende oplysninger. For eksempel kan manglende vejstrækninger eller ukorrekte adgangsbegrænsninger forhindre tilslutning af individuelle trafikområder til resten af vejnettet. Dette kan resultere i forkerte beregningsresultater. Bemærk, at algoritmen til beregning af afstandszoner i periferien af vejnettet kan give meget generaliserende resultater. Dette gør det muligt for isolerede øområder tæt på kysten at blive farvet, selv om de ikke har en forbindelse til et vejnet.

Schuldner- und Insolvenzberatungsstellen in Deutschland: Datengrundlage und Methodik: Es werden Daten genutzt, die aus allgemein zugänglichen Quellen stammen. Durch die Art der Erfassung von Schuldner- und Insolvenzberatungsstellen für diese Anwendung kann keine Garantie auf Vollständigkeit und Richtigkeit der dargestellten Beratungsstellen gewährleistet werden, da die Adressinformationen ausschließlich aus externen Quellen generiert werden. Hinweis: Den Nutzerinnen und Nutzern kann keine Auskunft über die Kostenübernahme der Schuldnerberatung zur Verfügung gestellt werden, da es bundesweit keine einheitliche Regelung dazu gibt. Standorte von Schuldnerberatungsstellen: Wenn eine Beratungsstelle über mehrere Standorte verfügt und diese Information öffentlich vorliegt, werden beide Standorte im Atlas angezeigt. Erreichbarkeitszonen von Schuldnerberatungsstellen: Die Grundlage für die Berechnung von Erreichbarkeitszonen von Schuldnerberatungsstellen bildet der Straßendatenbestand des offenen Gemeinschaftsprojektes OpenStreetMap (OSM). Mit Hilfe der Software Esri ArcGIS Desktop und den Programmerweiterungen Network Analyst sowie ArcGIS Editor for OpenStreetMap werden aus den OSM-Daten die relevanten Straßendaten (geometrische Information und zugehörige Attribute) extrahiert und in ein routingfähiges Netzwerkdatenmodell umgewandelt. Dieses erlaubt die Berechnung von Erreichbarkeitszonen, die sogenannten Isochronen. Die Berechnung der Isochronen wird für diskrete Zeitzonen von fünf bis 90 Minuten durchgeführt. Innerhalb einer Zone erfolgt keine nähere Unterscheidung der Fahrzeiten. Die Erreichbarkeiten werden in Form von Gitterzellen (Rastern) mit einer räumlichen Auflösung von 100 Meter * 100 Meter ausgewiesen. Beachten Sie bitte, dass die ausgewiesenen Fahrzeiten abgeleitete Modellgrößen sind, die unter Umständen deutlich von den tatsächlichen Fahrzeiten abweichen können. So wird insbesondere die aktuelle Verkehrslage oder mögliche Einschränkungen des Straßenverkehrs, wie z.B. Staus, Baustellen oder Straßensperrungen NICHT berücksichtigt. Zudem kann keine Gewähr für die Korrektheit der zugrundliegenden Straßengeometrie und der aus ihr abgeleiteten Fahrgeschwindigkeiten übernommen werden. Der OSM-Datenbestand kann Ungenauigkeiten oder Fehler sowohl in der geometrischen als auch hinsichtlich der beschreibenden Information enthalten. So können zum Beispiel fehlende Straßenabschnitte oder falsch ausgewiesene Zugangsbeschränkungen den Anschluss von einzelnen Verkehrsbereichen an das übrige Straßennetz verhindern. Hierdurch können fehlerhafte Berechnungsergebnisse resultieren. Beachten Sie bitte weiterhin, dass der Algorithmus zur Berechnung der Entfernungszonen in den Randbereichen des Straßennetzes u.U. stark generalisierende Ergebnisse erzeugt. Hierdurch können vereinzelt küstennahe Inselflächen mit eingefärbt werden, obwohl sie keinen Anschluss an ein Straßennetz besitzen. Grundsätzlich kann für die Richtigkeit der dargestellten Informationen und Berechnungsergebnisse nicht garantiert werden. Siedlungsstrukturelle Kreistypen: Mit den Kreistypen des Bundesinstituts für Bau-, Stadt- und Raumforschung (BBSR) wird eine einfache Gruppeneinteilung von den 363 Kreisregionen in Deutschland vorgenommen. Für die Typisierung werden verschiedene Siedlungsstrukturmerkmale herangezogen: der Bevölkerungsanteil in Groß- und Mittelstädten, die Einwohnerdichte der Kreisregion sowie die Einwohnerdichte der Kreisregion ohne Berücksichtigung der Groß- und Mittelstädte (Stand: 31.12.2017). Die Einteilung in siedlungsstrukturelle Gebietstypen dient als Instrument insbesondere für inter- und intraregionale Vergleiche. Diese Gebietstypen schreiben keine räumlichen Problemkategorien fest und stellen auch keine raumordnungspolitische Funktionszuweisung dar. Sie dienen ausschließlich als analytisches Raster für die laufende Raumbeobachtung und ermöglichen Vergleiche der entsprechenden Regionstypen. Auf dieser Basis erfolgt bei den siedlungsstrukturellen Kreistypen eine Einteilung in vier Gruppen: Kreisfreie Großstädte: Kreisfreie Städte mit mindestens 100 000 Einwohnern Städtische Kreise: Kreise mit einem Bevölkerungsanteil in Groß- und Mittelstädten von mindestens 50 % und einer Einwohnerdichte von mindestens 150 Einwohnern/km²; sowie Kreise mit einer Einwohnerdichte ohne Groß- und Mittelstädte von mindestens 150 Einwohnern/km² Ländliche Kreise mit Verdichtungsansätzen: Kreise mit einem Bevölkerungsanteil in Groß- und Mittelstädten von mindestens 50 %, aber einer Einwohnerdichte unter 150 Einwohnern/km², sowie Kreise mit einem Bevölkerungsanteil in Groß- und Mittelstädten unter 50 % mit einer Einwohnerdichte ohne Groß- und Mittelstädte von mindestens 100 Einwohnern/km² Dünn besiedelte ländliche Kreise: Kreise mit einem Bevölkerungsanteil in Groß- und Mittelstädten unter 50 % und Einwohnerdichte ohne Groß- und Mittelstädte unter 100 Einwohnern/km² Weitere Erläuterungen sind auf der Homepage des Bundesinstituts für Bau-, Stadt- und Raumfors