Height information, railway stations and ceremonial counties are all featured in the new versions of MapMechanics’
MapMechanics has also added another useful map data set to its portfolio, CRESTA Zones, which delineates areas treated as single entities by the insurance business. They include both high-resolution and low-resolution versions, each offering users new ways of identifying data relating to areas with widely-recognised boundaries.
All these new data products can be obtained direct from MapMechanics, or through the company’s fully transactional web site, allmapdata.com (http://www.allmapdata.com).
As its name suggests, ForGIS was developed specifically for GIS activities, which often involve processes such as market planning and catchment analysis. Along with current postcodes, ForGIS data includes historic postcodes dating back to 2001. These standard ForGIS elements are included in the new data sets.
ForGIS Heights for postcodes, UK (http://www.allmapdata.com/
ForGIS Nearest rail stations for unit postcodes, GB (http://www.allmapdata.com/
ForGIS Unit postcode points with Ceremonial Counties, UK provides an invaluable and often intriguing insight into the historical county in which each unit postcode falls. Such counties may not coincide exactly with current metropolitan and non-metropolitan counties, or even exist at all any longer in an official sense (for instance, Cumberland or Middlesex), yet they can still evoke strong loyalties, and might for instance influence which league team a player should join, or which local town consumers regard as their natural shopping centre.
Ceremonial counties often have other practical uses too, since their boundaries may help delineate logically cohesive areas that cannot be described by more modern boundary data. They are often used in the milk industry, and to identify an area of provenance (lettuce from Suffolk, for instance).
CRESTA Zones data offers users an alternative way of identifying, visualising and analysing data relating to those parts of a country that are regarded as discrete units by the insurance industry. The zones are based on standard postcodes and administrative areas, but the data sets group these together into areas that are specific to the insurance market.
The boundaries are available at two resolutions. The high-resolution data is ideal for identifying areas that fall within a particular zone, and for natural disaster modelling. The low-resolution is useful for functions such as accumulation control and data visualisation.
Data for nearly 140 countries is available, containing 250,000 CRESTA zones in total. Because the boundaries are recognised internationally, they have relevance that extends beyond borders.