4 ms·

Author here, please feel free to ask any questions.

binarymax 10y ago
Have you considered intersecting this with another dataset, perhaps crime rate or suchother? Personally I noticed that the coastline is more or less green, apart from a couple areas (such as Brighton). Which seems strange to me, as I am biased to think that seafront is usually more expensive than countryside in other countries. --EDIT-- Oh and thanks for sharing! Very interesting work.
- pjc50 10y ago
  The sea is rather cold, and the seaside towns were prosperous in the last century's seaside holiday boom but have declined since air travel and the collapse of fishing. Nowadays people living there are more likely to be retired or unemployed. Property value is very strongly linked to travel time to London.
- jasmcole 10y ago
  Thanks for your interest. I'd like a map of earnings by postcode, then I can plot as a function of average yearly wage which would reduce the height of the London mountain in this dataset. There are a lot of goodies in the data provided by the gov.uk website, I'll be sure to have more of a poke around in the future.
pbhjpbhj 10y ago
Great article - presumably you work quite closely to this sort of data? After a very brief view it seems that the lowest house prices have/are falling and the higher ones are rising (I'm pretty sure you mentioned that somewhere there), is that what stands out the most in your observations of the data? I'll get to read it properly later ... Also, one typo: "for pointing these out the existence of these.".
- jasmcole 10y ago
  Thanks! I don't work at all with this type of data though (I'm a physicist), so my interpretation of it will be mostly guesswork I'm afraid (though I welcome learned comments!). The divergence in house prices seems to be real, and would correspond to the historically high 'Gini' coefficient of the price distribution. This seems to have been falling recently however, which might represent a turning point in the price divergence.
wyldfire 10y ago
I've bookmarked the blender video you linked to, I'd love to explore a visualization of data like this: not just a static geo color map but elevation + flythrough. Those annotations for city names are nice too.
- jasmcole 10y ago
  Thanks. The video was quite fun to make, I might write up the process in the future. Essentially I made a surface mesh in Matlab, exported to .stl format, which is then importable in Blender. The city names are text objects with a rotation locked to the camera normal during the flythrough.

Have you considered intersecting this with another dataset, perhaps crime rate or suchother? Personally I noticed that the coastline is more or less green, apart from a couple areas (such as Brighton). Which seems strange to me, as I am biased to think that seafront is usually more expensive than countryside in other countries. --EDIT-- Oh and thanks for sharing! Very interesting work.

pjc50 10y ago
The sea is rather cold, and the seaside towns were prosperous in the last century's seaside holiday boom but have declined since air travel and the collapse of fishing. Nowadays people living there are more likely to be retired or unemployed. Property value is very strongly linked to travel time to London.
jasmcole 10y ago
Thanks for your interest. I'd like a map of earnings by postcode, then I can plot as a function of average yearly wage which would reduce the height of the London mountain in this dataset. There are a lot of goodies in the data provided by the gov.uk website, I'll be sure to have more of a poke around in the future.

pbhjpbhj 10y ago

Great article - presumably you work quite closely to this sort of data? After a very brief view it seems that the lowest house prices have/are falling and the higher ones are rising (I'm pretty sure you mentioned that somewhere there), is that what stands out the most in your observations of the data? I'll get to read it properly later ... Also, one typo: "for pointing these out the existence of these.".

jasmcole 10y ago
Thanks! I don't work at all with this type of data though (I'm a physicist), so my interpretation of it will be mostly guesswork I'm afraid (though I welcome learned comments!). The divergence in house prices seems to be real, and would correspond to the historically high 'Gini' coefficient of the price distribution. This seems to have been falling recently however, which might represent a turning point in the price divergence.

wyldfire 10y ago

I've bookmarked the blender video you linked to, I'd love to explore a visualization of data like this: not just a static geo color map but elevation + flythrough. Those annotations for city names are nice too.

jasmcole 10y ago
Thanks. The video was quite fun to make, I might write up the process in the future. Essentially I made a surface mesh in Matlab, exported to .stl format, which is then importable in Blender. The city names are text objects with a rotation locked to the camera normal during the flythrough.