Cross-border data harmonization of Saxon ATKIS and Czech ZABAGED

Cross border harmonisation in
practice –
exemplified by Saxon ATKIS and
Czech ZABAGED data

GI 2011-X-Border-SDI/GDI-Symposium
Bad Schandau and Děčín

Sylvia Röhnert,
Claudia Gedrange, Marco Neubert

Contents

Project Outline
Used Data
Objectives
Geometric Homogenisation
Semantic Harmonisation
Results

www.geodat.ioer.info
GI2011-X-Border-SDI/GDI-Symposium, 23/24.05.2011, Bad Schandau/Děčín

Project Outline
Duration: 01/2009 – 12/2011

Funding: European Union (EFRE, Ziel 3/Cíl 3 SN/CZ)
and the Free State of Saxony

Partner:
Leibniz-Institute of Ecological and Regional Development
e.V. Dresden (IÖR) - Lead Partner
Land Surveying Office of Saxony: Staatsbetrieb
Geobasisinformation und Vermessung Sachsen (GeoSN)
Land Surveying Office of the Czech Republic:
Zeměměřický Úřad (ZÚ)


Initial position
- different data models -

ZABAGED
(CZ)

ATKIS
(D)


Objectives

“Cross-Border Harmonisation of Spatial Base Data”
Interoperability on data and model level
Identification and handling with differences
Development of methods for semantic and
geometric matching
Establish semantically comparable and geometrically
connected data


- Objectives -
consistent coordinate reference system
integration of a common border geometry
edge matching of cross-border objects

bilingual object type catalogues
matching functions
matching categories for semantic
comparision of data models


- Approach -

Coordinate reference system (CRS)

Czech Republik: S-JTSK with Krovak coordinates
Saxony: RD83 with Gauss-Krüger coordinates
definition of a common CRS - ETRS89/UTM
generation of transformation rules


Geometric Harmonisation
- Approach -
Common Border Geometry

currently used in Saxony
and CR: inexact border geometry
common border measurement
integration of exact measured
border geometry to both datasets
until 2014


- Approach -

Connection of objects along a common border

identify relevant cross-border-object types
definition of connection points
development of a method for geometric
homogenisation (Sicad-Open)
edge matching of important cross border objects


- Objectives -
consistent coordinate reference system
integration of a common border geometry
edge matching of cross-border objects

matching functions
matching categories for semantic
comparision of data models


- Approach - Interoperable
data models
Data model
alignment

Mapping functions
Generate and categories
transformation rules

Similarities,
Concept Heterogenities
Original data comparison
models

Semantic
Semantic concepts
analysis

Bilingual object
Translation type catalogues


Bilingual Object Catalogues
Translation of object type catalogues
Bilingual database of all object types
and attributes


Analysis of data models

object types and attributes
ATKIS: overlaying object types

similar themes
different level of detail


- matching tables -
generation of ‚combination tables„ for the
comparision and mapping
attributes for further object type description
ATKIS: object types and attributes used in saxony
(„Bestandsdaten“)
Attribu Attribu
ID Theme ObjectType A1_name A1_value_name A2_name A2_value A2_value_name
te 1 A1_value te2

konstruktionsmerkmalB
A_52003_001 42 AX_Schleuse KON ZUS zustand
auart

A_52003_002 42 AX_Schleuse KON 1010 Schiffshebewerk ZUS zustand
auart

A_52003_003 42 AX_Schleuse KON 1020 Kammerschleuse ZUS zustand
auart

konstruktionsmerkmalB Außer Betrieb, stillgelegt,
A_52003_004 42 AX_Schleuse KON ZUS zustand 2100
auart verlassen

A_52003_005 42 AX_Schleuse KON 1010 Schiffshebewerk ZUS zustand 2100
auart verlassen

A_52003_006 42 AX_Schleuse KON 1020 Kammerschleuse ZUS zustand 2100
auart verlassen


- mapping functions -
matching tables with functions for each concept
object type – attribute value – combinations:
ca. 1100 for ATKIS
ca. 300 for ZABAGED
both transformation directions
complexity and heterogeneity of data models
multiple mappings or no possible mapping
categories for quality of mapping functions


- categories -
A - Biunique =

B - Superset (Z is part of A)

C - Overlap

D - Subset (A is part of Z)

E - Subsumption on a higher hierarchical level

F - Derivation (by spatial relations)
G - No mapping
(A: ATKIS; Z: ZABAGED)


- matching example I -
category C - overlap


- matching example II -
differences in classification (object types)
multiple mappings

category B – superset (Z is part of A)
category D – subset (A is part of Z)

Analysis of used mappings

Concepts with mapping functions
ATKIS > ZABAGED ca. 30 %
ZABAGED > ATKIS ca. 70 %

Frequency of categories multiple mappings (%)
ATKIS to ZABAGED ZABAGED to ATKIS
ZABAGED to ATKIS ATKIS to ZABAGED
90
200
80
Number of Mappings

Frequency in %
70
150 60
50
100 40
30
50 20
10
0 0
A B C D E F 1 2 3 4 5
Mapping Category Number of Single and Multiple Mappings


Analysis of mappings for the
datasets
Evaluation for testdata of the border region
(mapping: ATKIS to ZABAGED for object types of
„Tatsächliche Nutzung“)
Number of combinations Percentage of the categories in the testdata
Comparision of data model and testdata
180
160
A_44000
140
A
120
100 B
A_43000
80 C
60
D
40 A_42000
20
E
0 F
A B C D E F G A_41000
G
ATKIS combination combination in testdata
0% 20% 40% 60% 80% 100%


Results overview
consistent coordinate reference system (ETRS89/UTM)
definition of a common border geometry
geometrically homogene geodata with connected cross-
border objects

conceptual analysis of data models
mapping functions for shared use, visualisation and
interpretation of the datasets in both models
specification by categories


Thank you for your attention!

Further information:

Sylvia Röhnert: s.roehnert@ioer.de
Claudia Gedrange: c.gedrange@ioer.de
Marco Neubert: m.neubert@ioer.de

Project Website: www.geodat.ioer.info


Cross-border data harmonization of Saxon ATKIS and Czech ZABAGED

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