Utilizing Distance Data in Statistics: Insights from Denmark
Exploring the essential role of distance data in statistical analysis, this content sheds light on various methods such as pure distance measurements, proximity analysis, and distance calculations between different points like summer cottages and coastal lines in Denmark. From analyzing catchment areas to creating service areas in ArcGIS, the use of distance data opens up opportunities for in-depth spatial analysis in statistics.
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Presentation Transcript
The use of distance data in Statistics Denmark - a general view Michael Berg Rasmussen
Using distance data Pure distance measurements Proximity analysis 2
Pure distance measurements 1. Distance measured in a bee line (Euclidian distance) between points placed by co-ordinates 2. Distance between addresspoints measured through a network 3
Distance between summer cottages and the coastal line Distance in bee line measured by making a Spatial Join in ArcGIS 4
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) 5
Proximity analysis 1. 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) 2. Nearest neighbourhood-calculations examine how far to go out for a given condition to be fulfilled 1. 2. 6
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 7
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 8
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 9
