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A Vision for vario-scale reference maps
integrated with thematic data
Department of Physical Geography and
Ecosystem Science
Lund University
Lars Harrie
Weiming Huang
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Current map mashups
• Created by simply overlaying
thematic layer on a base map
• The levels of detail between
thematic layer and base map
are barely synchronized and
this raises geometric
inconsistencies and
sometimes confusing for web
map users.
Google My Maps mashup:
DC taxi zones
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Disposition
1) Data integration for single-scale maps
2) Data integration for multiple representation
databases
3) Data integration for vario-scale representation
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1. Data integration for single-scale maps
TOOMANIAN, A., HARRIE, L., MANSOURIAN, A., and PILESJÖ, P., 2013.
Automatic integration of spatial data in viewing services,
Journal of Spatial Information Science, 6:43-58
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Registration
1) Symolisation (SLD)
2) Semantic relation relationships (OWL)
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Example of semantic registration
Prot´eg´e software
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Geometric conflation method
1) Create a network of the data
that is semantically related to
the thematic data
2) Finding corresponding
nodes
3) Create new geometries for
the thematic data based on the
base map and new data.
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2. Data integration for multiple
representation databases
Reference map Thematic data
Scale
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Thematic data expressed
using relative positioning
• Relative
positioning
utilizes features
in the reference
map
• Relative
positioning is
widely employed
in BIM
Sillmansåsen from Lantmäteriet (© Lantmäteriet, Dnr: I2014/00579)
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Unique object identifiers link
objects through scales
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Utilizing a linked data approach
• The application linked data has developed
considerably lately.
• NMAs are investigating the potential of linked
data and some of them have started
releasing authoritative geodata as linked
open data.
• Linked data are organized as triples:
subject, predicate, object
where subjects/objects often are URIs
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Base maps distributed as linked data
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Case studyHuang et al., 2017. Synchronising Geometric
Representations for Map Mashups
Using Relative Positioning and Linked Data,
under review
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System architecture
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Thematic data creating tool
Haiqi Xu (2107), Master thesis, LU
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Matched and independent components
Haiqi Xu (2107), Master thesis, LU
Matched component
Independent
component
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Ontology based on GeoSPARQL
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System architecture
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R
e
s
u
l
t
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3. Data integration for vario-
scale representation
Reference map
Vario-scale (Delft group)Thematic data
Scale
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Would it be possible to use a relative positioning
approach also for vario-scale base map?
Vario-
scale
SSC
Or another
service for
presenting
the vario-
scale
map?
The proecedure for
creating thematic
data would not
change much
Is RDF
really
good
here?
Slicing,
Where?
Unique
identifications of
objects and
geometries in
vario-scale
representation
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The ontology could likely be extended
to include the vario-scale representation
Is_created_
from_geometry
+ slice
Polyhedra
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Would it be possible to use a relative positioning
approach also for vario-scale base map?
Vario-
scale
SSC
Or another
service for
presenting
the vario-
scale
map?
The proecedure for
creating thematic
data would not
change much
Is RDF
really
good
here?
Slicing,
Where?
Unique
identifications of
objects and
geometries in
vario-scale
representation
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Performance issues
For performance reasons: would it be necessary to use an
application server that stores the whole SSC?
MapApplication
SSC
Thematic data
generation
Vario-
scale
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Discussion
• This work is
– a new way of modeling spatial data on the web.
– a way of synchronizing reference data (in multi-scale
and in vario-scale) and thematic data
• Still need to think of
– the trust issue of linked open data
– Improving the relative positioning - using more than
sharing geometric parts
– performance issues
– the querying potential for spatial analysis, e.g., which
features share geometric parts?
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Questions?
https://agile-online.org/index.php/conference/conference-2018
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Study on design of thematic information
on top of base maps
- Should be easy to identy the extent of the thematic
area/line/point
- The thematic information should not obscure the
background map
KIIK, A. NYSTRÖM, M., and HARRIE, L., 2017.
Cartographic Design Matters –A Usability Study of Thematic Polygon Design,
The Cartographic Journal, 54(1):24-35 . doi: 10.1080/00087041.2016.1147191.
Icon method based on
TOOMANIAN, A., L. HARRIE and P. OLSSON, 2012. Automatic symbolization
methods for geoportals. The Cartographic Journal, Vol. 49, No. 2, pp. 153-163.
doi: 10.1179/1743277411Y.0000000028
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Design 1: only boundaries
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Design 2: transparency
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Design 3: hatches
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Design 4: icons
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