[ddj] Visualizing data on a map of Germany (county-level)

[Michael Hörz]

With the German "Kreise", it's even a bit more strenuous, I know from
own painful experience: Sachsen-Anhalt changed its delimitations in
2007, Sachsen followed in 2008, and Mecklenburg-Vorpommern came in 2011,
thus making all comparisons for entire Germany ranging back before 2011
quite difficult: http://de.wikipedia.org/wiki/Gebietsreform#Kreisreform

(You might find it interesting that Mecklenburg-Vorpommern shrunk so
much that the former 18 Landkreise were rendered to mere six, yet it
doesn't make things easier:
http://de.wikipedia.org/wiki/Kreisgebietsreform_Mecklenburg-Vorpommern_2011)

Cheers,
Michael

On 04.06.2015 17:25, Friedrich Lindenberg wrote:
> For Germany, check out: 
> 
> * http://blog.opendatalab.de/hack/2013/07/15/heilbronn-regionalstatistik-visualisierung/
> * http://checkgermany.de/
> * http://www.bkg.bund.de/nn_147352/DE/Bundesamt/Geoinformation/Geoinformation-Produktion/Verwaltungsgrenzen/Verwaltungsgrenzen__node.html__nnn=true
> 
> The most common issue with German municipal ("Kreis") level data is the
> fact that the regional delimitations (and hence their AGS ids) change
> surprisingly often, the last major reform was in 2009 and affected most
> of Mecklenburg-Vorpommern and Aachen. If the municipal AGS in your data
> and your map files don't match up, the first thing to do is to make sure
> that both refer to the same year. This makes comparisons across
> different years (or even decades) an incredibly tough thing to pull off. 
> 
> In terms of tools: QGIS, and the tools mentioned here around topojson
> and geojson ;) 
> 
> Cheers, 
> 
> - Friedrich 
> 
> On Thu, Jun 4, 2015 at 5:06 PM, Maurizio Napolitano <napo at fbk.eu
> <mailto:napo at fbk.eu>> wrote:
> 
>     On Thu, Jun 4, 2015 at 2:13 PM, Matthew Fullerton
>     <matt.fullerton at gmail.com <mailto:matt.fullerton at gmail.com>> wrote:
>     > In case its any help there's a great source of all the Landkreise as geojson
>     > here: https://github.com/isellsoap/deutschlandGeoJSON/tree/master/4_kreise
>     >
>     > There are probably various approaches for matching these to the data but in
>     > terms of coloring things differently according to data, cartoDB is quite
>     > good (www.cartodb.com <http://www.cartodb.com>).
> 
>     You can also try with topojson and d3 - 
>     http://bl.ocks.org/mbostock/5925375
>     or leaftlet and geojsoncss - 
>     https://github.com/albburtsev/Leaflet.geojsonCSS
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