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Index of /benelux/ Planet.osm. Planet.osm is the OpenStreetMap data in one file: all the nodes, ways and relations that make up our map.


A new version is released every week. It's a big file (XML variant over 400GB uncompressed, 29GB compressed). There are also files called Extracts which contain OpenstreetMap Data for individual continents, countries, and metropolitan areas. Format The two main formats used are PBF or compressed OSM XML. For an overview over all osm file formats have a look at OSM file formats. If you are using traditional GIS tools you may want to look at Processed data providers. Downloading See below for usage instructions. Planet.osm mirrors Country and area extracts Worldwide extract sources Regional extract sources Global thematic extracts provides shapefiles of global coastlines, land polygons or water polygons.

BitTorrent Original source The originating URL is Please use a mirror if you can. Update frequency. Downloadbereich. Display of gridded data in WMS map layers. Using Selectable Polygon Features in 6.0. When you create a view using the polygon mark type, the polygon features become selectable.

Using Selectable Polygon Features in 6.0

This allows highlight, filter, and URL actions to be associated with the polygons to create powerful data visualizations. In addition, if tool tips are turned on, a tool tip is displayed when you hover over a polygon. This article outlines an example in which the polygon features of a map are connected to URL actions to deliver more information about the geographic area.

Download the example workbook attached to this article to see the result and follow along with the steps. Preliminary preparations Step 1: Prepare a map with a polygon mark type When you want to work with selectable polygon features, the first step is to prepare a map with a polygon mark type. Creating Polygon-Shaded Maps covers how to create a map with a polygon mark type. Step 2: Verify a dynamic link between the data source and the URL Set up selectable polygons and URL action filters Step 2: Create the dashboard view. Creating Tableau Polygons from ArcGIS Shapefiles. Beginning in version 7.0, you can use the filled maps chart option to fill worldwide states and provinces and U.S. counties using built-in geocoding.

Creating Tableau Polygons from ArcGIS Shapefiles

Maps that require more detailed areas such as cities, zip codes, area codes, or custom areas, use the ArcGIS ShapeFiles to prepare and define a file that can be imported into Tableau Desktop as a polygon layer. For more general information about polygon filled areas, refer to Creating Polygon-Shaded Maps article. The method requires a licensed version of ArcGIS (ArcView, ArcEditor, or ArcInfo) and the ET GeoWizards tool for ArcGIS. The software installs as a toolbar in ArcMap and the functionality required for preparing the Shapefile is covered under their free features. Prepare the shapefile Step 1 In an ArcMap view that contains the polygon shapefile layer of interest, verify that the polygon is in a geographic coordinate system using decimal latitude and longitude units, such as GCS NAD 1983.

Step 2. Tableau Software. Hi - as a new user to Tableau I'm wondering whether anyone can give me advice on Geocoding & Maps for UK data.

Tableau Software

I've read around on the Mapping forum area and it seems like geocoding outside of the USA is a bit of a struggle so am keen to avoid re-inventing the wheel if anyone has done this for the UK. I think there are three areas I need assistance with: 1. Geododing UK postcodes into Lat/Long co-ordinates 2. 3. If this hasn't already been done I'm happy to give it a go but it seems like it could be a long process! I work for the charity WWF and am keen to figure this out in order to map and visualize our supporter and campaigner information. Top-10 & Bottom-10 Filters. Top n from a sort, but reference line for all.

You can do it with v6 table calculations.

Top n from a sort, but reference line for all

In fact I decided it would be an ideal chance to make sure I understood the ideas brought out in Ross Bunker's example in this thread: so I've put an example together for you using the Coffee Sales data. The key things are that you have to create your own "top N" filter and calculate your own average - both over the "window" of interest. Another nice thing this gives you is that you can use a parameter to set the value of N, rather than having to fix it at 10 (or whatever) in the filter definition. I've added two reference lines in this example. I've really been struggling to get my head around v6 table calcs - but the light has finally started to come on - thanks mainly to examples like Ross's once I mentioned above - plus some really valuable hints from Joe Mako who is definitely further up the learning curve than I am (thanks again for that Skype session, Joe!).