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Data Types


At this prototype stage, I couldn’t be too picky. That’s why there are a few contents that are less important, but technically challenging. Basically, the content of the channels should show current information (but not only). So it would be rather not the museums but the exhibitions currently taking place there in focus.

Spatial Reference

Different types of spatial data are suitable as data types:

  • Point data: what are the nearest x occurrences? E.g. any infrastructure facilities or points of interest.
  • Polygon data: what is valid here? E.g. administrative units, geological formations.
  • Continua: what is the current value exactly here? E.g. meteorological indicators like temperature or air pollution, height.

Coordinate Systems

The most common and easiest to handle coordinate system is WSG84, d.h. latitude and longitude. Specially in local or country data you often find other projections, in Switzerland for example the Swiss coordinates system (EPSG:2056) or rasters from Eurostat in ETRS89 (EPSG:3035). All data is converted to WSG84 here.

In some cases (as with the Swiss museums), the original data do not contain coordinates, only addresses. These are georeferenced and the results are cached.

Data Formats

The data comes from a wide variety of sources and formats. Examples are APIs (JSON, XML, text), GeoRSS, CSV, GeoJSON etc.


In terms of licenses, there are two main types here at the moment: Open Data and freemium offers. In the case of the latter, a certain number of queries is usually free, after which it would cost.


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