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The National Map 1:200,000 is a topographic map giving an overview of Switzerland. The map perimeter is divided into 4 (printed map) or 16 (Swiss Map Raster) sheets. The National Map 1:200,000 is published in analogue format as a printed map and in digital format as a Swiss Map Raster. The update is done by sector. The different statuses of updates are shown in the layer "Division national map 200 Raster".
Geodata is digital information which can be related to a specific position on the earthâs surface. At geo.admin.ch you can find geodata covering all the most important areas of life: the environment, the population, the security, the economy and many other themes.
https://www.swisstopo.admin.ch/ogd-conditionshttps://www.swisstopo.admin.ch/ogd-conditions
Die Landeskarte 1:200'000 ist eine topografische Ăbersichtskarte der Schweiz. Der Kartenperimeter ist in 4 (Papierkarte), bzw. 16 (Swiss Map Raster) KartenblĂ€tter aufgeteilt. Die Landeskarte 1:200'000 ist in analoger (Papierkarte) und in digitaler (Swiss Map Raster) Form verfĂŒgbar. Die NachfĂŒhrung erfolgt sektorenweise. Die verschiedenen NachfĂŒhrungsstĂ€nde zeigt der Layer "Einteilung Landeskarte 200 Raster".
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In order to digitally plan a cable line using the QGIS plugin âSeilaplanâ, 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
FĂŒr 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. DafĂŒr mĂŒssen die Daten nicht heruntergeladen werden. Es braucht lediglich eine gute Internetverbindung. FĂŒr die Seillinienplanung hilfreiche Karten sind bspw. die Landeskarte der Schweiz in verschiedenen MassstĂ€ben, 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
https://www.swisstopo.admin.ch/ogd-conditionshttps://www.swisstopo.admin.ch/ogd-conditions
Die Landeskarte 1:25'000 ist eine topografische Karte der Schweiz mit sehr detaillierter Verkehrs-, Siedlungs-, GewĂ€sser-, GelĂ€nde- und Vegetationsdarstellung. Die NachfĂŒhrung erfolgt sektorenweise. Im Kartenviewer des Bundes wird standardmĂ€ssig der aktuellste Stand der Karte angezeigt. Mit der «Zeitreise»-Funktion lassen sich alle verfĂŒgbaren DatenstĂ€nde seit 1952 anzeigen. Die detaillierten DatenstĂ€nde 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) verfĂŒgbar.
Diese Karte zeigt die tiefen Bohrungen in der Schweiz an. Die Daten stammen vom Bundesamt fĂŒr Landestopografie swisstopo, von UniversitĂ€ten, Kantonen und privaten Unternehmen. Die Metadaten sind öffentlich zugĂ€nglich. Die damit verbundenen Dokumente, wenn sie öffentlich sind, sind ĂŒber den Kartenviewer des Geoportal des Bundes (map.geo.admin.ch) zugĂ€nglich. FĂŒr AuskĂŒnfte ĂŒber die Dokumentation wenden Sie sich bitte direkt an den Rechteinhaber. Die Karte wird regelmĂ€ssig ĂŒberarbeitet und stellt keinen Anspruch auf VollstĂ€ndigkeit. MD = Measured depth, TVD = True vertical depth, TD = Total depth
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.
đ 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.
đ 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.
đ Integration with Geolocetâs 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.
đ Integration with Geolocetâs 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.
đ 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.
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# 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 â01_tidy.Rmdâ
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.
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).
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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 Australiaâs 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 âKenwick Islandâ has been added to the local Government area âMackay Regionalâ in Queensland.
There have been spatial changes(area) greater than 1 km2 to the localities âNicholsonâ, âLawn Hillâ and âCoral Seaâ in Queensland and âCalgunaâ, âIsraelite Bayâ and âBalladoniaâ 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 Australiaâs 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
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
swissTLM-Map light ist eine automatisch generierte 2D-Karte, die in der 3D-AusfĂŒhrung des Bundesgeoportals map.geo.admin.ch als Hintergrundkarte eingesetzt wird. Bei dieser Kartenansicht wurde absichtlich auf die Darstellung bestimmter Elemente wie BrĂŒcken, Tunnels, administrative Grenzen oder geografische Namen verzichtet. Als Datengrundlage fĂŒr swissTLM-Map light dient das topografischen Landschaftsmodell swissTLM3D.
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This dataset shows the locations where industrial minerals have been identified as well as the former mining sites in Switzerland. Because of their specific chemical and/or physical properties, industrial minerals are used in various disciplines and industrial processes. Gypsum and salt are common industrial minerals, which are extracted and processed in Switzerland today. Their importance is the reason why they are represented separately in the Geoportal map viewer:
Currently, except for gypsum and salt, no industrial minerals are exploited commercially.La Carta nazionale 1:25'000 Ăš 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 Ăš aggiornata per settori. Di default, nel visualizzatore di carte della Confederazione viene visualizzata la versione piĂč recente della carta. Con la funzione âViaggio nel tempoâ Ăš 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 Ăš disponibile in formato analogico (cartaceo) e digitale (Swiss Map Raster, Swiss Map Vector).
Density map generated nightly from ECAI clearinghouse bounding boxes
Diese Karte zeigt die Position der Eingangsdaten sowie die Grenze des GeoMol15-Temperaturmodells. Als solches sollte diese Karte in Verbindung mit den zugehörigen GeoMol15-Temperaturkarten verwendet werden, d. h.:
Bounding boxes of Rumsey map collection - test set at Sept 2003
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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for English see below
-br/- -/br- Datenbeschrieb -br/- -/br- Dieser Datensatz enthĂ€lt 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 BeispielschlĂŒssel beschrieben sind (Beispielschluessel_1999_d.pdf). Es gibt drei Shapefiles: * avalanches1999_endversion1.shp: die kartierten Lawinen (fĂŒr Attribute siehe BeispielschlĂŒssel!) * area_images_1999.shp: FlĂ€che die durch die Luftbilder abgedeckt wurde * clouds_1999.shp: grobe Umrisse der Wolken in den Bildern BildverfĂŒgbarkeit: Die entzerrten Luftbilder können von der Swisstopo einzeln ĂŒber den Downloadlink heruntergeladen werden (herzlichen Dank an Holger Heisig fĂŒr die Prozessierung und ans BAFU fĂŒr die Finanzierung der Prozessierung!!). Ăber "Erweiterte Werkzeuge"/ "Datei importieren" können die Bilder nach hereinziehen des Orthofotolinks direkt im map.geo.admin.ch angezeigt werden. WeiterfĂŒhrende 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., & BĂŒhler, Y. (2024). Automated snow avalanche mapping with deep learning in aerial imagery from the extreme avalanche winter of 1999. In K. GisnĂ„s, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. MĂŒller (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., & BĂŒhler, Y. (2024). Remotely sensed avalanche activity during three extreme avalanche periods in Switzerland. In K. GisnĂ„s, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. MĂŒller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1222-1229). Norwegian Geotechnical Institute.
-br/- -/br- Data description -br/- -/br- 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 âAdvanced toolsâ/âImport fileâ 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., & BĂŒhler, Y. (2024). Automated snow avalanche mapping with deep learning in aerial imagery from the extreme avalanche winter of 1999. In K. GisnĂ„s, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. MĂŒller (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., & BĂŒhler, Y. (2024). Remotely sensed avalanche activity during three extreme avalanche periods in Switzerland. In K. GisnĂ„s, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. MĂŒller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1222-1229). Norwegian Geotechnical Institute.
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Nacionalni zemljevid 1:25.000 je topografski zemljevid Ć vice z zelo podrobno predstavitvijo prometa, naselja, vode, terena in vegetacije. Spremljanje se izvaja po posameznih sektorjih. NajnovejĆĄe stanje zemljevida je privzeto prikazano v pregledovalniku zemljevidov zvezne vlade. S funkcijo »Äasovno potovanje« se lahko prikaĆŸejo vsi razpoloĆŸljivi statusi podatkov od leta 1952. Statusi podrobnih podatkov so prikazani v sloju âDivision country map 25 rasterâ. Trenutni nacionalni zemljevid 1:25.000 je na voljo v analogni (papirni zemljevid) in digitalni obliki (ĆĄvicarski zemljevid Raster, ĆĄvicarski zemljevid Vector).
https://www.swisstopo.admin.ch/ogd-conditionshttps://www.swisstopo.admin.ch/ogd-conditions
Die Landeskarte 1:100'000 ist eine ĂŒberregionale, topografische Karte der Schweiz. Der Kartenperimeter ist in 23 EinzelblĂ€tter aufgeteilt. Von ausgewĂ€hlten Regionen existieren Zusammensetzungen. Die Landeskarte 1:100'000 ist in analoger (Papierkarte) und in digitaler (Swiss Map Raster) Form verfĂŒgbar. Die NachfĂŒhrung erfolgt sektorenweise. Die verschiedenen NachfĂŒhrungsstĂ€nde zeigt der Layer "Einteilung Landeskarte 100 Raster".
http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by
The National Map 1:200,000 is a topographic map giving an overview of Switzerland. The map perimeter is divided into 4 (printed map) or 16 (Swiss Map Raster) sheets. The National Map 1:200,000 is published in analogue format as a printed map and in digital format as a Swiss Map Raster. The update is done by sector. The different statuses of updates are shown in the layer "Division national map 200 Raster".