1. Country report - Denmark
Nordic Forum for Geography and Statistics (NFGS)
Stockholm, September 2015.

2. Open Data in Denmark
All maps and data from the National Mapping Agency in Denmark is available as open data (free of charge).
Address data with coordinates available as open data (free of charge).
Building register (BBR) data available as open data (free of charge).
Many other register data will be made available as open data (free of charge).
1. It does not matter if the spatial data are a geo-coded or geo-referenced point, line or polygon.
2.This functionality makes it possible to get the same information of the modelled reality independent of time and place.
3. This is about washing al addresses in the same way –it increases data quality of the associations produced.
4/30/2019

3. Status for Statistics Denmark Inspire as the driving force
Inspire in Denmark is coordinated by the Danish Geodata Agency (DGA).
Statistics Denmark is a supplier of relevant spatial data, open data (free access to aggregrated public data) and has a role as provider of data to be used.
The role for Statistics Denmark in this area still has to be clarified externally and internally (who is in charge).
Open data / public data still as a general rule only available (free of charge) at Municipality level.
The end users expects (or hope) that more detailed geographical data will be provided free of charge.
1. It does not matter if the spatial data are a geo-coded or geo-referenced point, line or polygon.
2.This functionality makes it possible to get the same information of the modelled reality independent of time and place.
3. This is about washing al addresses in the same way –it increases data quality of the associations produced.
4/30/2019

4. INSPIRE & JointAddressDatabase (JAD)
Status: Nordic Forum for Geography and Statistics (NFGS)
Practice 2015 (september 2015 Stockholm)
Vision 2005 (september 2005 Stockholm)

5. Population & Business statistics
INSPIRE Spatial data
Population & Business statistics
Housing units
Work places
INSPIRE ANNEX I
Coordinate reference systems
Geographical grid systems
Geographical names
Administrative units
Transport networks
Hydrography
Protected sites
INSPIRE ANNEX III
Statistical units
Buildings
Soil
Geology
Land use
Human health and safety
Government service and environmental monitoring facilities
Production and industrial facilities
Agricultural and aquaculture facilities
Population distribution – demography
Area management / restriction / regulation zones & reporting units
Natural risk zones
Atmospheric conditions
Meteorological geographical features
Oceanographic geographical features
Sea regions
Bio-geographical regions
Habitats and biotopes
Species distribution
INSPIRE ANNEX II
Elevation
Identifiers of properties
Cadastral parcels
Land cover
Orthoimagery
Lets look at the Inspire Spatial data – annex 1, 2 and 3.
In article 1 it is said: “The directive lays down general rules for the establishment of an infrastructure for spatial information…. the component elements of those infrastructures shall include metadata, spatial dataset and spatial data service; network service and technologies; agreements on sharing, access and use; and coordination and monitoring mechanisms, processes and procedures”
I just ask myself: Where are we to start? As J sees it: It takes a lot of expert just to agree on metadata on national level. E.g. in Denmark we are working on that in area management by the municipality and in Identifiers of properties. E.g. in Denmark we have 3 different registrations of properties: For assessments, land registration for protection 3. mans rights, and registration of cadastres: 26 types of properties – 6 joint properties?
Then J ask: What do Statistic Denmark have to offer that non of the other INSPIRE UNITS have? The answer is business and populations statistics.
Ok we need a machinery to link Business Statistics and Population Statistics to non-statistical INSPIRE unit.
The Work places and the Housing units are obvious the ones we need to association to other INSPIRE classes - in statistic Denmark must population and business statistics is already linked to housing units and work places.
4/30/2019

6. 0, Work places JointAddressDatabase: Housing unit/ households
Business legal unit
Statistical units – Housing unit and Work place
- who needs associations to (other) Spatial data:
INSPIRE ANNEX I Spatial data
Business production unit
Work places
Joint methods: Creating association to address
Joint association & bitemporal data
JointAddressDatabase:
INSPIRE ANNEX II Spatial data
Person
(day)
Joint spatial data
Joint
address
Joint functionality to associate spatial data and address
Person
(day&night)
INSPIRE ANNEX III Spatial data
Joint functionality for keys and bitemporal data
Housing unit/ households
Housing unit?
Joint functionality for
joint address
Other Spatial data
Housing-/business unit in building
4/30/2019

7. Nighttime & Daytime – Urban and Rural
4/30/2019

8. JointAddressDatabase (JAD)
JAD is a machinery for producing geo-coded associations from spatial data to statistical units - Housing units and Work places - using address as gasoline.
JAD have a joint functionality to produce associations from Spatial data to joint address.
JAD have a joint functionality to produce bitemporal data.
JAD have a joint functionality to produce joint address.
Rational database in Oracle/Oracle Spatial
1. It does not matter if the spatial data are a geo-coded or geo-referenced point, line or polygon.
2.This functionality makes it possible to get the same information of the modelled reality independent of time and place.
3. This is about washing al addresses in the same way –it increases data quality of the associations produced.
4/30/2019

9. Physical and Monetary Asset Account for Land - Spatial data focus
Land value per m2
4/30/2019