Maps Of The Week

Named is a novel website which allows people inwards the Great Britain to honor out where their surname is unusually common. The application is really tardily to use. All you lot produce is larn into a surname as well as named shows you lot a heatmap highlighting where at that spot is an unusually high discover of people alongside that name.

Named every bit good allows you lot to larn into 2 surnames to honor locations where both names are unusually common. The application uses information from an sometime Great Britain electoral whorl to run out the distribution of names. The application thence solely industrial plant for the UK.


Place Names inwards the U.S. of America visualizes the spatial distribution of town & urban pith house names inwards America.

For illustration you lot tin ship away sentiment the distribution of house names starting alongside Castilian articles (El, Los, Las) as well as San & Santa (mainly inwards the Southwest). Alternatively you lot tin ship away search using suffixes. For illustration the distribution of towns alongside mutual British town endings, such every bit chester, wick, wich, pool, ham, ness, port & worth (mainly inwards the Northeast).

Place Names inwards the United States has a database of some 30 M towns as well as cities inwards the United States. The house elevate information used is from opengeocode.org as well as the application was built using Canvas, SVG as well as d3.js.


Wikipedia has entries for 8,049 battles that get got taken house across the footing throughout the sorrowful history of the human race. Nodegoat's map, the Wikidata Geography of Violence, visualizes this warfare information throughout fourth dimension as well as across the globe.

The map includes a appointment command which allows you lot to filter the results shown on the map for whatsoever catamenia of time. The battle markers on the map are every bit good color coded past times date. If you lot select a battle's marking on the map you lot tin ship away click through to run into its entry on Wikidata as well as read its Wikipedia entry.