I'm searching for a map of Germany which is divided into the different postal codes and could be coloured in R. Possible would be a map like this on wikipedia:
https://upload.wikimedia.org/wikipedia/commons/c/cd/Karte_Paketzentren_Deutsche_Post_AG.png
Is there any package which is supporting this?
You can download the Geojson (I advise this format) from https://public.opendatasoft.com/explore/dataset/postleitzahlen-deutschland/export/
You can then read the Geojson with the sf package. You will find support for this on stackoverflow. Through the sf package you will have graphing possibilities with various other packages.
You can also download shapefiles for "Landkreis" and other administrative areas in Germany on this site.
Related
I need to map data of South America and the Caribbean, including small geographies such as St. Vincent and the Grenadines. However, in the World data set with the tmap library these are not included. Using the included spatial data base of the tmap library seems easier than finding, loading, parsing and cleaning a different shape file from some other sources. Is it possible to insert these countries or should I just fight through learning the details of GIS just to draw a simple thematic map of the Caribbean?
I have battled with reading shape files from OSM today and other mapping packages. Tmap is a great approach for us non-GIS professionals.
Thanks for any direction you can give.
I have the zip code tabulation area (ZCTA) ESRI shape files from the US Census Bureau that I would like to use to display data on map charts using software like tableau, SAS JMP, etc.
Each of these programs can readily recognize and plot the zip shapes in map charts, however the detail is too fine and I need to aggregate the zips into custom districts and regions that are useful for the project. For this data set districts are comprised of various zip codes, and regions are comprised of many districts.
My question is, how can I edit the zip shape files to aggregate them into district shapes and then also aggregate the district shapes into region shapes.
Even if someone could point me to some documentation on how to do this, would greatly appreciated.
Thanks
josh
If you have JMP, you should be able to use this Add-in created by the JMP developers:
https://community.jmp.com/docs/DOC-7362
There is a companion blog post about it as well:
http://blogs.sas.com/content/jmp/2013/08/22/an-add-in-to-combine-jmp-map-shapes/
I didn't find updated Spatial data for Germany on county level. I used a SpatialPolygonsDataFrame from gadm before, which were perfect until some reforms concerning administrative boundaries. Further, I tried an updated version from Geodatenzentrum, but I didn't get a complete map of all German counties or had failed to transform UTM 32 data properly.
If anyone has an idea how to get these data it would be great.
Are the openstreetmap administrative areas appropriate?
http://download.geofabrik.de/europe/germany.html
I have a bunch of data on Dutch individuals that I would like to visualize with a choropleth map. I also have the location of the individuals (longitude and latitude), so I was hoping that it would be possible to visualize that on a Dutch map that is divided into municipalities (="gemeente" in Dutch), so I can color each municipality according to the mean value of all individuals living there. I know that the R package maptools can make choropleth maps, but I believe that it requires template maps in the form of a .shp file. Does anyone know where I could find such a template for the Netherlands? Preferably with municipalities and NOT per province, so for this image it would be the one on the left:
(source: www.kb.nl)
Any suggestions for other packages/software/etc to do this are also welcome! Many thanks!
also try GADM: http://www.gadm.org/
This site is an excellent resource, extra bonus: .Rdata is one of the formats you can download in (containing a SpatialPolygonsDataFrame). They also have .shp format, for your case.
Your main problem will be finding a shapefile for the municipalities. Once you have that and can easily relate your data at the lat/long level to the municipalities, then plotting becomes easy.
ggplot2 is a fantastic example.
Choropleths in R is a potential example, because it does not use shapefiles, but I believe the maps package supports it
Failing that, you could always try Weave
There are various .shp files for the Netherlands here:
http://www.eea.europa.eu/data-and-maps/data/eea-reference-grids/
You might also be able to find the municipalities layer on GeoCommons and join your data with one of those layers. GeoCommons makes it really easy to make many different choropleth maps quickly.
Another source for shapefiles at Eurostat is here. However, with a restrictive license, and I believe only at NUTS3 level (I did not look at it, though).
Open Streetmap does contain administrative boundaries,but not as polygons. Here is a report about how to transform boundaries to polygons. (I did not try)
You can find recent official Dutch maps here: https://www.pdok.nl/nl/producten/pdok-downloads/basis-registratie-kadaster/bestuurlijke-grenzen-actueel in .gml and .xsd formats (not in .shp unfortunately). National borders, province and municipality.
I have five shapefiles of bordering counties in California that I am trying to combine into one large shapefile and maintain the original borders of the counties. I then want to plot points such as this so the map only needs to be a simple map of county boundaries. Is there a way to do this in R or will I have to use something like ArcGIS?
There is extensive documentation about merging within a shapefile such as here where both shapefiles have the same coordinates. But no documentation on shapefiles that only partially share coordinates.
If you only need to put all the borders into one data set then you can do that with sp/rgdal easily enough, but if you need to actually merge borders geometrically (clip/join/dissolve) and so on the support in R is not that simple.
Roughly the simple option is read each shapefile with readOGR, then spRbind them together. If rgdal presents difficulties for building/installing then there are other options for reading shapefiles in various packages.
btw, "something like ArcGIS" but much closer to "free": www.manifold.net
If you are looking for a Free and Open Source solution I highly recommend QGIS or uDIG or OpenJump or MapWindows. You can do all the shapefile manipulation you want in these packages, they are all GIS software.
I am sorry I do not of a way to do this in R and I am not sure I would trust the result - better to use a hammer for a nail than to use a screwdriver.
If you want to programmaticly want to alter the shapefiles let me know and I will recommend some python and java libraries.