Development of distance statistics in the Netherlands results using Euclidean and network distances...
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Transcript of Development of distance statistics in the Netherlands results using Euclidean and network distances...
Development of distance statistics in the Netherlands
results using Euclidean and network distances
Niek van Leeuwen, Statistics Netherlands. [email protected]
Bled, Slovenia, 3 october 2008
Short overview
Methodsaddress backbonestreet networkfuture developments
ExamplesEuclidean distancepoint in polygondistance along a network
Questions using distances
How far away is the nearest public transport facility
Are there enough primary school in the neighbourhood
How many people suffer from noise
Does the ambulance arrive within acceptable time.
Stages in assembling distance statistics
Register database connecting geographical location clustering
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Stage 2: Address backbone
- connects addresses from different sources
- is a method
- adds x- and y-coordinate to addresses(source Cadaster)
- operational since late 2006 (AML or SPSS syntax)
Address backbone (2)
Registers # of addresses
# withadditions
different additions
Address 7.784.877 914.483 5.019
Persons 6.696.212 697.076 10.100
Dwelling 7.020.669 815.226 20.025
Real estate value 7.941.486 1.208.341 43.983
Address backbone (3)Future developments
Address and building registerIn use 2009 - 2011
Entity: the smallest unit of living or working, unique number
Contains address and geographical location (contour or point)
Changes avaiable within 4 working days.
Only addresses in this register are to be used and are obligatory or all governmental institutes and agencies
Address backbone (4)National registers
Address and building register
Register of persons
Topography
Register of Cadaster
Business register
Development of interelated national registers
Address backbone (5)National registers
Stage 3: Geographical location
X- and y-coordinate Cadaster, later on from
national register buildings and addressesAddress and an x- and y-coordinate
Street networkMinistry of Transport, Public works and
Watermanagement updated 4 times a year
Paved roads, one way direction for highways and State roads.
Street networkCalculating distances
Address point projected into networkMatching between streetname of points and network. Nearby points are
clustered.
Distance between projected points are calculatedOne way direction taken into account
Projection distance of address point onto network is added
Network contains 2,2 million clusterpoints for a total of 7.8 million addresses
Network is build up once a year.
Future: Bicycle lanes
Street network (2) highways and State roads
Statistics using distancesnearest distance to highways (Euclidean distance)
Average distance primary schools to highwaysDistance 300m from highways (light red area) and 50m from State roads (blue area)
Statistics using distancesExceeding ceiling values small particle (PM10) (point in polygon)
Number of inhabitants exceeding EU ceiling values of small particles (PM10)
Contour derived from model
Statistics using distancestravelling along a street networkTravelling distance to closest primary school, travelling along paved roads (network distances)
Statistics using distancestravelling along a street network
Topics
Distance to- Health care- Schools- Shopping centres, Retail trade- Cultural facilities (Libraries, Theatre)- Sport facilities
Questions?