31Jul Housing Density Take 2 It has been a warm and sunny few months at Emu Analytics and we have all just about survived the heatwave! We have been slightly quiet on the blog front but we are back, and rest assured that service is now restored and we will be sharing regular location-based goodies with you! After the success of our London Housing Density map we decided the obvious next step was to extend it! This now means that housing density has been calculated at a 200m x 200m grid level across the whole of England and Wales! The same methodology was used as for the London example. A 200m x 200m grid was created and any area that was known to have a non-residential land use type (e.g. schools, parks, roads) was clipped out. This land use data came from OpenStreetMap and OS Open Map/OS Green Space datasets. The housing density data came for the Valuation Agency Office (VAO), which provides housing density estimates at LSOA (lower super output area) level. The VAO data looks at the number of homes (not just residential buildings) in each LSOA. We used a dasymetric approach which assumed that the homes were evenly spread across the residential areas of each LSOA and calculated the density based on the number of homes per hectare. This result us a much more true-to-life representation of housing density, as large areas of non-residential land (e.g. Hyde Park) do not warp the view of the housing density in the area. Non-Residential Land Removal - Hyde Park, London You can download all of London for free as open data alongside the full dataset for England and Wales, which is is conveniently chopped into County sized chunks. Visualising the data is just about as fun as creating it and what better way to do that than in our new ‘Location Insights Explorer’. This cloud-based web app is the perfect way to quickly load, visualise and share location data (big or small!). It allows multiple different data formats to be uploaded and visualised at the drop of the hat, and doesn’t require the user to have any GIS or data analysis knowledge as things like coordinate systems and projections are handled by the platform. The symbology and labels can be changed to suit the user and filters can be applied to interrogate the data further. The maps are sharable directly via a URL, so the exact, interactive map you have curated can be shared with colleagues or customers to pass on the insights, or by exporting to PDF. Check out the following video that shows how you can upload data, make a map and share it with others in less than 2 minutes. We will be showcasing the Location Insights Explorer next month in more detail, so watch this space.