ICA/EuroSDR NMA workshop Amsterdam 3-4 dec Anders Færch-Jensen Hanne Mortensen Esben Taudorf

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1 ICA/EuroSDR NMA workshop Amsterdam 3-4 dec Anders Færch-Jensen Hanne Mortensen Esben Taudorf

2 Agenda About the Agency Basic data SDI and workflows Current workflow for map production Pick nuse Demo

3 About the Danish Geodata Agency (GST) In the Danish Geodata Agency, we are approx. 300 employees. Until 2013 we were called The National Survey and Cadastre (KMS). We re the Danish national mapping agency and produce topographical maps for the Defence and for public use. We re the Danish national hydrographic office and produce sea charts and ENC for Danish waters (incl. Greenland). We re the Danish cadastral authority and keep the cadastre registry and process cadastral survey. From 1. January 2016 the hydrographic office and the cadastral authority will form a new agency also called the Danish Geodata Agency and the rest of us will be united in a new company called Agency for Data Supply and Efficiency Danish Geodata Agency

4 The basic-data programme The most important objectives for developing basic data are: basic data needs to be as correct, complete and up-to-data as possible all public authorities must use public-sector basic data as far as possible, basic data (excluding sensitive personal data) must be made freely available to businesses as well as the public basic data must be distributed efficiently, accommodating the needs of the users What is basic data

5 The Data Distributor conveys updated and authentic information from basic data registers on to the relevant public or private-sector administrative field or business area The data distributor

6 GST dataflow Master data DHM Supplement Location names Geo Denmark Other Topo. data Boundary Basic Derived masterdata from Generalization Visualisation GeoDenmark are produced in cooperation with the municipalities in scale 1:4000. Transformation (FME) The update cyclus is 5 years, Geodata Bank Distribution and for specific themes it s 1 KF/Download FTP year. Data are supplied with data PostGIS from other databases in GST. KF/Services

7 GST dataflow Master data DHM Supplement Location names Geo Denmark Other Topo. data Boundary Derived data Generalization Visualisation The Geodata Bank will act as a "pick list" for composition of all products and derived Transformation (FME) databases Geodata Bank Distribution FTP All data are stored in the Geodata Bank after standard model rules KF/Download KF/Services PostGIS

8 GST dataflow Master data Derived data Generalisation Visualisation DHM Supplement Location Map Automatic production generalisation environment from based basic on data an to 50k names Transformation (FME) Geo Denmark Geodata Bank ESRI Automatic solution generalisation from 50k to 100k Other Topo. data Flexible Manual visualisation updates Names Boundary Boundary Same data but different representation Supplement The cartographer can manipulate the representations without changing the data Geo Denmark Distribution KF/Download FTP KF/Services PostGIS

9 Challenges Detailed masterdata Too many vertices on a straight line Topological issues Need for pregeneralisation Add extra attributes, calculations, corrections to the basic data and updates TOPO10

10 GST dataflow Derived data Generalization Generalization Visualisation Master data Pick n Use Family Scale xxx Topo line Topo map xxx Map xxx Supplement Family Scale 250 Family Scale 100 Topo map 250 Topo map 100 Map 250 Map 100 Family Scale 50 Topo map 50 Map 50 DHM Family Scale 25 Topo map 25 Map 25 Location names Geo Denmark Other Topo. data Boundary Geodata Bank Transformation (FME) TOPO10 Distribution KF/Download FTP KF/Tjenester PostGIS

11 Pick n Use a total paradigm shift for: -> a multiple use -> a flexible distribution -> a standardised production of current maps- and spatial data

12 Pick n Use What is Pick n Use Dividing and updating of national geodata families as an supplement to ordinary maps Combining layers from different geodata families in multiple scales Rule-based selection, simplification and generalisation, instead of human generalisation

13 Pick n Use Geodata families, multiple scales, map layers Update 4 x year 1 x year 1 x year 1 x year 4 x year Every day 4 x year Every day 4 x year 1 x year Every day Country Orthophoto DHM- Location Polygon Hillshading names ELF - scale DHM- Contour lines Land areas Forrest, Heath, Dry at low tide, Wetland, garden, etc. Transportation Roads, railroad, ferry, airport, route numbers, etc. Hydrographi Coast, lake, ditch, watercourse, spring, etc Build up area Buildings, built-up area, technical area, towncentre, etc. Administrative boundaries. Region and municipalities etc. 1: OK OK OK OK 1: OK OK 1: OK OK OK OK 1: OK OK 1: OK OK OK OK OK 1: OK OK OK OK OK 1: OK OK OK OK OK OK OK OK OK 1: OK OK OK OK OK OK OK OK OK OK Singlepoint signatures Church, Hospital, Town Hall, Lighthouse etc.

14 Pick n Use WMS

15 Pick n Use demo

16 Pick n Use demo

17 Link to live demo Pick n Use demo

18 Contact Information Head of Funktion: Anders Færch-Jensen Cartographer: Hanne E. Mortensen Developer: Esben Taudorf Phone:

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