Protected land is defined as National Parks, Sites of Special Scientific Interest and greenbelt land. Other geographies would be interesting to explore such as Travel-to-Work areas. If you are interested in statistics by political boundaries such as local authorities, then there are many existing websites to try such as NOMIS and Neighbourhood Statistics. Unfortunately this solution is time consuming to implement, and has not yet been achieved on this website. The ideal solution would be to give the user a choice of multiple urban boundary geographies, so that the influence of the boundaries on statistical measures could be easily viewed and explored. The density clustering approach is consistent across Great Britain. Density clusters are defined as continuous areas of more than 14 jobs& residents per hectare, and over 50,000 jobs&residents in total in 2011. Why are the urban area statistics aggregated by density clusters?Ī density cluster approach has been chosen to present the urban area statistics as this is believed to more accurately reflect the functional area of city-regions compared to standard local authority and primary urban area approaches. Below this threshold, grid cells have been removed. The LuminoCity site is not suitable for understanding trends in small villages and rural areas, it is designed primarily for viewing maps and statistics for cities and towns. The threshold is 10 jobs&residents per hectare. Related to the above question, there is a density threshold at which grid cells appear on the map. Why is there no data for a particular small town or village? For more information on how the data is transformed see the spatial analysis page. The LuminoCity site is not suitable for understanding trends in small villages and rural areas, it is designed primarily for viewing maps and statistics for cities and towns. However the census zones are larger in rural areas, and the grid approach is much less accurate in rural areas. This is the case with output areas and workplace zones from the 2011 census in urban areas. This grid approach is only possible if the original source data is published at a very fine scale, smaller than the 1km2 grid. This approach does not solve modifiable areal unit errors, but it does provide consistently sized regular zones, and also aids legibility across a wider range of scales. Each zone has the same area of 1 square kilometre. The aim of transforming the data to a grid is to try and minimise these problems of varying zone sizes and make city to city comparisons easier by standardising the geography across Great Britain. Many urban measures such as density fall into this category of being sensitive to zone size. This is particularly important in the case of measures that are sensitive to zone size, a common spatial analysis problem known as the Modifiable Areal Unit Problem (MAUP). This can make maps and statistics based on such zones more difficult to interpret. However these zones are typically of varying sizes, with irregular boundaries. These political and administrative units are important as they relate to units of decision-making. Socio-economic data is gathered and typically mapped at the scale of political and administrative zones, such as wards, local authorities and electoral boundaries. Why is the data shown on a hexagonal grid? You can comment at the bottom of this page, tweet or email Cartography Questions It would be useful to know any additional datasets you would like added to LuminoCit圓D, collaboration ideas, comments you have on the analysis and visualisation approach, or any bugs or problems that you encounter. Comments and feedback on the site are very welcome.
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