Southampton Minecraft Model

This is a model created in Minecraft from open data about Southampton (Lidar & Openstreetmap)

Open Street Map

Open streetmap is to maps what wikipedia is to dictionaries. It is not consistant quality as it depends on the effort  volunteers have put into the area. Southampton west of the river is pretty well covered, East of the river has less buildings marked. You can access the data as tiles for use with the excellent leaflet.js but you can also get the raw data too.

Bus Stops

You can query the University SPARQL service to get a list of all the bus stops in Southampton with their locations. Once you know the IDs of bus stops you can use them with the bus stop times API.

Channel Coast Observatory

This service has VERY high resolution images of the parts of Southampton near the coast and very detailed elevation data. Far higher than HampshireHub but it only covers the areas close to the coast.


The government open data service has a number of datasets from Southampton City Council (17 as of Summer 2015). Almost all of them are geograpic data - the location and outlines of things.

Aerial photography of Hampshire

Hampshire Council have provided high quality aerial photography of the whole county. It is divided up into files of 1 square km each. They are 4000 x 4000 JPeg files.

Please don't directly link to the images hosted by the Council as the bandwidth costs are high. If you are in Southampton and would like a copy of all the data, please contract Christopher Gutteridge at the university of Southampton who can copy it for you to save everyone's bandwidth.

Ordnance Survey Linked Data

OS provides linked data about the city.

Ordnance Survey

Ordnace Survey are based in Southampton and have a very active involvement in Open Data including hosting a number of open data events.

List of Wards and Postcodes

This dataset has a CSV file which contains a list of every postcode in the UK and what Ward and City they are part of. Very useful for getting a list of all Southampton postcodes.

There are two annoyances. First of all the data is zipped, and secondly the CSV file is huge (141 Meg!)


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