Greg's OpenStreetMap stuff

OSM profiles

Food Hygiene Rating Scheme

I've developed some Python tools for downloading and comparing Food Hygiene Rating Scheme (FHRS) and OSM data and finding possible matches between it, together with Leaflet slippy maps for visualising the data. I think the FHRS data is a useful source for getting more postcode and address data into OSM, as well as for reminding mappers of local establishments they could map. It is my hope that these tools could help mappers to do this efficiently (rather than importing large amounts of data automatically).

Ordnance Survey triangulation station data

I've produced a GPX file which contains the OS triangulation station archive filtered to inculde only those stations not marked as destroyed. Co-ordinates have been transformed to ETRS89 ("a more exacting definition of the GPS co-ordinate system than WGS84") using the OSTN02 transformation and the file includes the name, description and type for each point in a format that JOSM can understand and display. (You may wish to go into Edit > Preferences, make sure Expert Mode is on and change Waypoint labelling to {name} ({desc}) - {type} in order to show the type for each station.

It is my hope that the OS trig archive may be imported into OSM at some point, but in the meantime this GPX file could be used to accurately determine the offset of aerial imagery.

LIDAR map tiles

I've written a BASH script which uses GDAL to automatically process Environment Agency LIDAR 'composite' data and create map tiles which can be viewed in a browser or used in JOSM. Map tiles are coloured based on the height of surface features such as buildings and trees, calculated by subtracting the DTM from the DSM. This can make it easier to trace buildings more accurately because different roof heights are different colours. By default, features below 1m are transparent, meaning that buildings can easily be distinguished from ground level and the tiles can be viewed on top of Bing imagery, for example.

I've created map tiles for the area around Canterbury, which can be added as a TMS imagery layer in JOSM using this URL:{zoom}/{x}/{-y}.png

PGP key

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Fingerprint: EBD1 077F CCDD 841E A505 3FAA D2E8 592E 6490 7C8A