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”
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”