http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by
The National Map 1:25,000 is a topographic map of Switzerland representing the areas of traffic and settlements, the hydrography, the topography and the vegetation in great detail. The update is done by sector. The current status of the map is displayed by default in the federal map viewer. With the ‘journey through time’ function, all available data statuses since 1952 can be displayed. The detailed statuses of updates are shown in the layer "Division national map 25 Raster". The current National Map 1:25,000 is published in analogue format as a printed map and in digital format as the Swiss Map Raster or Swiss Map Vector.
The National Map 1:50,000 is a topographic map of Switzerland representing the areas of traffic and settlements, the topography and the vegetation in detail. The map perimeter is divided into 78 individual sheets. There are composites of specified regions. The National Map 1:50,000 is published in analogue format as a printed map and in digital format as the Swiss Map Raster. The update is done by sector. The different statuses of updates are shown in the layer "Division national map 50 Raster".
http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by
The 1:10,000 national map is swisstopo’s largest scale topographic map. It stands out for its detailed representation of traffic, settlements, terrain and vegetation as well as its thorough labelling. The contents are supplemented by rock hachures and relief. The perimeter of the map covers the national territory of both Switzerland and the Principality of Liechtenstein. Updates are made every year based on the latest version of swisstopo’s topographic landscape model (TLM). The 1:10,000 national map is produced in digital form in colour and greyscale. Both of these versions of the map form the basis for Switzerland’s geo data viewer (map.geo.admin.ch) in the first four zoom levels. The 1:10,000 map is also available as “Swiss Map Raster 10” in the form of geo-referenced TIF data and as "Swiss Map Vector 10" for individual sections of the perimeter.
https://www.swisstopo.admin.ch/ogd-conditionshttps://www.swisstopo.admin.ch/ogd-conditions
Die Landeskarte 1:200'000 ist eine topografische Übersichtskarte der Schweiz. Der Kartenperimeter ist in 4 (Papierkarte), bzw. 16 (Swiss Map Raster) Kartenblätter aufgeteilt. Die Landeskarte 1:200'000 ist in analoger (Papierkarte) und in digitaler (Swiss Map Raster) Form verfügbar. Die Nachführung erfolgt sektorenweise. Die verschiedenen Nachführungsstände zeigt der Layer "Einteilung Landeskarte 200 Raster".
swissTLM-Map light ist eine automatisch generierte 2D-Karte, die in der 3D-Ausführung des Bundesgeoportals map.geo.admin.ch als Hintergrundkarte eingesetzt wird. Bei dieser Kartenansicht wurde absichtlich auf die Darstellung bestimmter Elemente wie Brücken, Tunnels, administrative Grenzen oder geografische Namen verzichtet. Als Datengrundlage für swissTLM-Map light dient das topografischen Landschaftsmodell swissTLM3D.
http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by
Die Landeskarte 1:25'000 ist eine topografische Karte der Schweiz mit sehr detaillierter Verkehrs-, Siedlungs-, Gewässer-, Gelände- und Vegetationsdarstellung. Die Nachführung erfolgt sektorenweise. Im Kartenviewer des Bundes wird standardmässig der aktuellste Stand der Karte angezeigt. Mit der «Zeitreise»-Funktion lassen sich alle verfügbaren Datenstände seit 1952 anzeigen. Die detaillierten Datenstände zeigt der Layer "Einteilung Landeskarte 25 Raster". Die aktuelle Landeskarte 1:25'000 ist in analoger (Papierkarte) und in digitaler Form (Swiss Map Raster, Swiss Map Vector) verfügbar.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
# README
These files contain r data objects and R files that represent the key details of the paper, "Evaluating health facility access using Bayesian spatial models and location analysis methods".
The following datasources are available for simulation of some of the ideas in the paper.
- dat_grid_sim: simulated data of the grid and grid cells
- dat_ohca_cv_sim: simulated data containing the cross validated test/training sets of OHCA data
- dat_ohca_sim: simulated OHCA event data
- dat_aed_sim: simulated AED location data
- dat_bldg_sim: simulated building location data
- dat_municipality_sim: simulated municipality information
- table_1: Table 1 information containing key demographic data
These data were produced using the code in 01-create-sim-data.R, and one of the statistical models is demonstrated in 02-demo-inla-model.R
In terms of the paper itself, the functions and code used in the manuscript are located in:
* 01_tidy.Rmd - analysis code used to tidy up the data
* 02_fit_fixed_all_cv.Rmd - analysis code used to place AEDs
* 02_model.Rmd - analysis code used to fit the model in INLA
* 03_manuscript.Rmd - Full code and text used to create the paper
* 04_supp_materials.Rmd - full code and text used to create the supplementary materials
The following files are a part of an R package "swatial" that was developed along with the paper. These files are:
* DESCRIPTION
* NAMESPACE
* LICENSE
* LICENSE.md
* decay.R
* spherical-distance.R
* test-figure-data-matches.R
* test-table-data-matches.R
* testthat.R
* tidy-inla.R
* tidy-posterior-coefs.R
* tidy-predictions.R
* utils-pipe.R
* All files that end in .Rd are documentation files for the functions.
## Regarding data sources
Census information for Ticino was transcribed from the Annual Statistical Report of Canton Ticino from years 2010 to 2015. This data was taken from their publicly accessible annual reports - for example: (https://www3.ti.ch/DFE/DR/USTAT/allegati/volume/ast_2015.pdf). The raw data was extracted from these annual reports, and placed into the file: "swiss_census_popn_2010_2015.xlsx". These data are put into analysis ready format in the file “01_tidy.Rmd”
Housing and other relevant geospatial data can be accessed via http://map.housing-stat.ch/ and https://data.geo.admin.ch/. The maps of buildings from the REA (Register of Buildings and Dwellings) can be found here: https://map.geo.admin.ch/?zoom=11&bgLayer=ch.swisstopo.pixelkarte-grau&lang=en&topic=ech&layers=ch.bfs.gebaeude_wohnungs_register,ch.swisstopo.swissboundaries3d-gemeinde-flaeche.fill,ch.bfs.volkszaehlung-gebaeudestatistik_gebaeude,ch.bfs.volkszaehlung-gebaeudestatistik_wohnungen,ch.swisstopo.swissbuildings3d_1.metadata,ch.swisstopo.swissbuildings3d_2.metadata&E=2717616.28&N=1096597.25&catalogNodes=687,696&layers_timestamp=,,2016,2016,,&layers_visibility=true,false,false,false,false,false&layers_opacity=1,1,1,1,1,0.75
For further enquiries on this data, contact the Swiss federal Office of Statistics at the details listed here: https://www.bfs.admin.ch/bfs/en/home/services/contact.html
The shapefiles of the Comuni can be accessed here: https://www4.ti.ch/dfe/de/ucr/documentazione/download-file/?noMobile=1
Data from the people living in the Municipalities in Ticino can be downloaded here: https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=dati.home&tema=33&id2=61&id3=65&c1=01&c2=02&c3=02
## Future work
In the future, these functions from the paper may be generalised and put into their own package. If that happens, this repository will be updated with a link to updated functions.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
In order to digitally plan a cable line using the QGIS plugin ‘Seilaplan’, maps with various background information are helpful. In this tutorial we show you how to obtain maps that are helpful for cable line planning, for example a national map of Switzerland at different scales, the NFI vegetation height model or the NFI forest mix rate. For this we explain what WMS datasets are and how to integrate them into QGIS. No download of large data is needed for this, only a good internet connection. Please note that the tutorial language is German! Link for the integration of WMS data: https://wms.geo.admin.ch/ Link to the description on the Swisstopo website: https://www.geo.admin.ch/en/geo-services/geo-services/portrayal-services-web-mapping/web-map-services-wms.html Link to the Seilaplan website: https://seilaplan.wsl.ch
Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung sind verschiedene Hintergrundkarten hilfreich. In diesem Tutorialvideo zeigen wir, was WMS Daten sind und wie man diese in QGIS einbinden kann. Dafür müssen die Daten nicht heruntergeladen werden. Es braucht lediglich eine gute Internetverbindung. Für die Seillinienplanung hilfreiche Karten sind bspw. die Landeskarte der Schweiz in verschiedenen Massstäben, das Vegetationshöhenmodell LFI oder der Waldmischungsgrad LFI. Link zur Einbindung der WMS Daten: https://wms.geo.admin.ch/ Link zur Beschreibung auf der Swisstopo Webseite: https://www.geo.admin.ch/de/geo-dienstleistungen/geodienste/darstellungsdienste-webmapping-webgis-anwendungen/web-map-services-wms.html Link zur Seilaplan-Website: https://seilaplan.wsl.ch
Geolocet's Administrative Boundaries Spatial Data serves as the gateway to visualizing geographic distributions and patterns with precision. The comprehensive dataset covers all European countries, encompassing the boundaries of each country, as well as its political and statistical divisions. Tailoring data purchases to exact needs is possible, allowing for the selection of individual levels of geography or bundling all levels for a country with a discount. The seamless integration of administrative boundaries onto digital maps transforms raw data into actionable insights.
🌐 Coverage Across European Countries
Geolocet's Administrative Boundaries Data offers coverage across all European countries, ensuring access to the most up-to-date and accurate geographic information. From national borders to the finest-grained administrative units, this data enables informed choices based on verified and official sources.
🔍 Geographic Context for Strategic Decisions
Understanding the geographical context is crucial for strategic decision-making. Geolocet's Administrative Boundaries Spatial Data empowers exploration of geo patterns, planning expansions, analysis of regional demographics, and optimization of operations with precision. Whether it is for establishing new business locations, efficient resource allocation, or policy impact analysis, this data provides the essential geographic context for success.
🌍 Integration with Geolocet’s Demographic Data
The integration of Geolocet's Administrative Boundaries Spatial Data with Geolocet's Demographic Data creates a synergy that enriches insights. The combination of administrative boundaries and demographic information offers a comprehensive understanding of regions and their unique characteristics. This integration enables tailoring of strategies, marketing campaigns, and resource allocation to specific areas with confidence.
🌍 Integration with Geolocet’s POI Data
Combining Geolocet's Administrative Boundaries Spatial Data with our POI (Points of Interest) Data unveils not only the administrative divisions but also insights into the local characteristics of these areas. Overlaying POI data on administrative boundaries reveals details about the number and types of businesses, services, and amenities within specific regions. Whether conducting market research, identifying prime locations for retail outlets, or analyzing the accessibility of essential services, this combined data empowers a holistic view of target areas.
🔍 Customized Data Solutions with DaaS
Geolocet's Data as a Service (DaaS) model offers flexibility tailored to specific needs. The transparent pricing model ensures cost-efficiency, allowing payment solely for the required data. Whether nationwide administrative boundary data or specific regional details are needed, Geolocet provides a solution to match individual objectives. Contact us today to explore how Geolocet's Administrative Boundaries Spatial Data can elevate decision-making processes and provide the essential geographic data for success.
Selection of natural and artificial objects showed as tridimensional features in the 3D modus of the geoportal of the federal authorities of the Swiss Confederation map.geo.admin.ch. The selection contains buildings, bridges and cableways. The selection is based on the topographical landscape model of Switzerland (TLM).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/dataset/ds-dga-b4ad5702-ea2b-4f04-833c-d0229bfd689e/details?q=previous
Geoscape Administrative Boundaries is Australia’s most comprehensive national collection of boundaries, including government, statistical and electoral boundaries. It is built and maintained by Geoscape Australia using authoritative government data. Further information about contributors to Administrative Boundaries is available here.
This dataset comprises seven Geoscape products:
Updated versions of Administrative Boundaries are published on a quarterly basis.
Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.
Notable changes in the May 2025 release
Victorian Wards have seen almost half of the dataset change now reflecting the boundaries from the 2024 subdivision review. https://www.vec.vic.gov.au/electoral-boundaries/council-reviews/ subdivision-reviews.
One new locality ‘Kenwick Island’ has been added to the local Government area ‘Mackay Regional’ in Queensland.
There have been spatial changes(area) greater than 1 km2 to the localities ‘Nicholson’, ‘Lawn Hill’ and ‘Coral Sea’ in Queensland and ‘Calguna’, ‘Israelite Bay’ and ‘Balladonia’ in Western Australia.
An update to the NT Commonwealth Electoral Boundaries has been applied to reflect the redistribution of the boundaries gazetted on 4 March 2025.
Geoscape has become aware that the DATE_CREATED and DATE_RETIRED attributes in the commonwealth_electoral_polygon MapInfo TAB tables were incorrectly ordered and did not match the product data model. These attributes have been re-ordered to match the data model for the May 2025 release.
IMPORTANT NOTE: correction of issues with the 22 November 2022 release
Further information on Administrative Boundaries, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on Administrative Boundaries, including software solutions, consultancy and support.
Note: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.
The Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an open CCBY 4.0 licence.
Users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).
Users must also note the following attribution requirements:
Preferred attribution for the Licensed Material:
Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International license (CC BY 4.0).
Preferred attribution for Adapted Material:
Incorporates or developed using Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).
Administrative Boundaries is large dataset (around 1.5GB unpacked), made up of seven themes each containing multiple layers.
Users are advised to read the technical documentation including the product change notices and the individual product descriptions before downloading and using the product.
Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/dataset/ds-dga-b4ad5702-ea2b-4f04-833c-d0229bfd689e/details?q=previous
World Administrative Divisions represents the boundaries for the first-level administrative divisions of the world as they existed in December 2022.Included are fields for name and International Organization for Standardization (ISO) codes, along with notes identifying disputed boundaries and continent information. Particularly useful are the fields LAND_TYPE and LAND_RANK that separate polygons based on their size. These fields are helpful for rendering at different scales by providing the ability to turn off small islands that may clutter small-scale views. The data is sourced from Garmin International, Inc. and was published here in October 2023. This layer is updated every 12-18 months or as significant changes occur.
The "Map Imager Layer - Administrative Boundaries" is a Map Image Layer of Administrative Boundaries. It has been designed specifically for use in ArcGIS Online (and will not directly work in ArcMap or ArcPro). This data has been modified from the original source data to serve a specific business purpose. This data is for cartographic purposes only.The Administrative Boundaries Data Group contains the following layers: Populated Places (USGS)US Census Urbanized Areas and Urban Clusters (USCB)US Census Minor Civil Divisions (USCB)PLSS Townships (MnDNR, MnGeo)Counties (USCB)American Indian, Alaska Native, Native Hawaiian (AIANNH) Areas (USCB)States (USCB)Countries (MPCA)These datasets have not been optimized for fast display (but rather they maintain their original shape/precision), therefore it is recommend that filtering is used to show only the features of interest. For more information about using filters please see "Work with map layers: Apply Filters": https://doc.arcgis.com/en/arcgis-online/create-maps/apply-filters.htmFor additional information about the Administrative Boundary Dataset please see:United States Census Bureau TIGER/Line Shapefiles and TIGER/Line Files Technical Documentation: https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.htmlUnited States Census Bureau Census Mapping Files: https://www.census.gov/geographies/mapping-files.htmlUnited States Census Bureau TIGER/Line Shapefiles: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html and https://www.census.gov/cgi-bin/geo/shapefiles/index.php
http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by
for English see below
Datenbeschrieb
Dieser Datensatz enthält die Umrisse der 11'120 Lawinen die aus schwarzweiss Luftbildern, welche zwischen dem 25.2.1999 und dem 1.3.1999 aufgenommen wurden, kartiert wurden. Die Lawinenumrisse haben verschiedene Attribute welche im beigelegten Beispielschlüssel beschrieben sind (Beispielschluessel_1999_d.pdf).
Es gibt drei Shapefiles: * avalanches1999_endversion1.shp: die kartierten Lawinen (für Attribute siehe Beispielschlüssel!) * area_images_1999.shp: Fläche die durch die Luftbilder abgedeckt wurde * clouds_1999.shp: grobe Umrisse der Wolken in den Bildern
Bildverfügbarkeit:
Die entzerrten Luftbilder können von der Swisstopo einzeln über den Downloadlink heruntergeladen werden (herzlichen Dank an Holger Heisig für die Prozessierung und ans BAFU für die Finanzierung der Prozessierung!!). Über "Erweiterte Werkzeuge"/ "Datei importieren" können die Bilder nach hereinziehen des Orthofotolinks direkt im map.geo.admin.ch angezeigt werden.
Weiterführende Litertaur: Details zu den Luftbildern und zur Kartierung, sowie eine kleine Analyse und Empfehlungen zur Verwendung der Daten finden sich unter
FAN Publikation (Info folgt)
Dal, F. J., Hafner, E. D., Peters, T., Narnhofer, D., Caye Daudt, R., Heisig, H., & Bühler, Y. (2024). Automated snow avalanche mapping with deep learning in aerial imagery from the extreme avalanche winter of 1999. In K. Gisnås, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. Müller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1264-1271). Norwegian Geotechnical Institute.
Hafner, E. D., Techel, F., Heisig, H., Dal, J. F., & Bühler, Y. (2024). Remotely sensed avalanche activity during three extreme avalanche periods in Switzerland. In K. Gisnås, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. Müller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1222-1229). Norwegian Geotechnical Institute.
Data description
This dataset contains the outlines of 11'120 avalanches mapped from panchromatic aerial imagery taken between February 25, 1999 and March 1, 1999. The avalanche outlines have various attributes which are described in the attached example key (ExampleKey_AvalMapping_1999_e.pdf).
There are three shapefiles: * avalanches1999_endversion1.shp: the mapped avalanches (for attributes see example key!) area_images_1999.shp: Area covered by the aerial images clouds_1999.shp: rough outlines of the clouds in the images
Image availability: The rectified aerial images can be downloaded individually from Swisstopo via the download link (many thanks to Holger Heisig for processing and to BAFU for financing the processing!!). The images can be displayed directly in map.geo.admin.ch via “Advanced tools”/“Import file” after dragging in the orthophoto link.
Further Reading: Details on the aerial images and mapping, as well as a brief analysis and tips on using the data can be found at
FAN Publication (info to follow)
Dal, F. J., Hafner, E. D., Peters, T., Narnhofer, D., Caye Daudt, R., Heisig, H., & Bühler, Y. (2024). Automated snow avalanche mapping with deep learning in aerial imagery from the extreme avalanche winter of 1999. In K. Gisnås, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. Müller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1264-1271). Norwegian Geotechnical Institute.
Hafner, E. D., Techel, F., Heisig, H., Dal, J. F., & Bühler, Y. (2024). Remotely sensed avalanche activity during three extreme avalanche periods in Switzerland. In K. Gisnås, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. Müller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1222-1229). Norwegian Geotechnical Institute.
La Carta nazionale 1:25'000 è una carta topografica della Svizzera con una rappresentazione estremamente dettagliata delle vie di comunicazione, degli insediamenti, dei corsi d'acqua, della vegetazione e del terreno. La carta è aggiornata per settori. Di default, nel visualizzatore di carte della Confederazione viene visualizzata la versione più recente della carta. Con la funzione “Viaggio nel tempo” è possibile visualizzare tutti gli stati dei dati disponibili dal 1952. I stati di aggiornamento dettagliati sono mostrati nel layer "Divisione carta nazionale 25 Raster". La Carta nazionale 1:25'000 attuale è disponibile in formato analogico (cartaceo) e digitale (Swiss Map Raster, Swiss Map Vector).
Diese Karte zeigt die tiefen Bohrungen in der Schweiz an. Die Daten stammen vom Bundesamt für Landestopografie swisstopo, von Universitäten, Kantonen und privaten Unternehmen. Die Metadaten sind öffentlich zugänglich. Die damit verbundenen Dokumente, wenn sie öffentlich sind, sind über den Kartenviewer des Geoportal des Bundes (map.geo.admin.ch) zugänglich. Für Auskünfte über die Dokumentation wenden Sie sich bitte direkt an den Rechteinhaber. Die Karte wird regelmässig überarbeitet und stellt keinen Anspruch auf Vollständigkeit. MD = Measured depth, TVD = True vertical depth, TD = Total depth
La carte nationale au 1:100'000 est la carte topographique suisse supra régionale. Le périmètre total est divisé en 23 feuilles. Il existe également des assemblages pour certaines régions d'intérêt géographique ou touristique. La carte nationale au 1:100'000 est disponible sous forme analogique (carte papier) et digitale (Swiss Map Raster). La mise à jour s’effectue par secteur. Les différents états de mise à jour sont indiqués dans la couche "Découpage carte nationale 100 Raster".
Bounding boxes of Rumsey map collection - test set at Sept 2003
http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by
Il-mappa nazzjonali 1:25,000 hija mappa topografika tal-Iżvizzera bi traffiku dettaljat ħafna, insedjament, ilma, art u rappreżentazzjoni tal-veġetazzjoni. Is-segwitu jitwettaq settur b'settur. B’mod awtomatiku, l-aktar status aġġornat tal-mappa jintwera fit-telespettatur tal-mappa tal-gvern federali. Bil-funzjoni "Vjaġġ tal-ħin," l-istatuses tad-dejta kollha disponibbli mill-1952 jistgħu jintwerew. L-istatuses dettaljati tad-data jidhru fis-saff "Mappa tad-diviżjoni tal-pajjiżi 25 raster". Il-mappa nazzjonali attwali ta’ 1:25,000 hija disponibbli f’forma analoga (mappa stampata) u diġitali (Swiss Map Raster, Swiss Map Vector).
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A web map showing administrative geography hierarchy boundaries in the UK as at 31 December 2020.Boundaries used (BGC) for geographies in Great Britain are generalised (20m) and are clipped to the coastline for Great BritainBoundaries used (BGE) for geographies in Northern Ireland are generalised (20m) and are extent of the realm and are not clipped to the coastline for Northern Ireland.
http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by
The National Map 1:25,000 is a topographic map of Switzerland representing the areas of traffic and settlements, the hydrography, the topography and the vegetation in great detail. The update is done by sector. The current status of the map is displayed by default in the federal map viewer. With the ‘journey through time’ function, all available data statuses since 1952 can be displayed. The detailed statuses of updates are shown in the layer "Division national map 25 Raster". The current National Map 1:25,000 is published in analogue format as a printed map and in digital format as the Swiss Map Raster or Swiss Map Vector.