The use of distance data in Statistics Denmark - a general view

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Presentation transcript:

The use of distance data in Statistics Denmark - a general view Michael Berg Rasmussen

Pure distance measurements Using distance data Pure distance measurements Proximity analysis

Pure distance measurements Distance measured in a bee line (Euclidian distance) between points placed by co-ordinates Distance between addresspoints measured through a network

Distance between summer cottages and the coastal line Distance in bee line measured by making a Spatial Join in ArcGIS

Distance between addresses using a network Distance measures as the shortest distance through a network of roads (calculate using Dijkstras algoritm). Special application is used (FleetView Integration)

Proximity analysis Analysis of a catchment area - e.g. to know the number of fellow citizens, working places etc. that can be reach within a given distance Buffer (measured out in bee line) Service area (measured out through a network) Nearest neighbourhood-calculations – examine how far to go out for a given condition to be fulfilled

Analysis of a catchment area(1) Buffers and sevice areas can be created in ArcGIS Only a limit number of such analysis can be made in ArcGIS due to perfor-mance

Analysis of a catchment area(2) Countrywide analysis (involving ”Big data”) most be done on a Oracle platform Distance measuring done in 100×100m-gridcells to reduce the number of calculations

Nearest neighbourhood calculation EquiPop – a small GIS-program made to analyze the nearest neighbours from an origin Uses the gridnet Until now mostly used in the Urban Europe-project