SW10 digs deep

Responding to a weak property market

In December I looked at how recent events have shaped the property market in London SW10. If short-distance moves are off the table in the current climate, how are property owners responding? When sales are weak, are planning applications in the ascendency? I applied data science techniques to Royal Borough of Kensington and Chelsea (RBKC) planning data to find out.

Continue reading “SW10 digs deep”

Surprising stories hide in seemingly mundane data

Experimentation with geospatial mapping

Recently I experimented with geospatial mapping techniques in R.  I looked at both static and interactive maps. Embedding the media into a WordPress blog would be simple enough with a static map. The latter would require (for me) a new technique to retain the interactivity inside a blog post.

My web-site visitor log, combined with longitude and latitude data from MaxMind’s GeoLite2, offered a basis for analysis. Although less precise than the GeoIP2 database, this would be more than adequate for my purpose of getting to country and city level.  I settled on the Leaflet package for visualisation given the interactivity and pleasing choice of aesthetics.

The results however were a little puzzling.
Continue reading “Surprising stories hide in seemingly mundane data”