Ist africa2012 habitats_2

Session 9f, 11 May 2012 IST-Africa 2012 Copyright 2012 HSRS
Habitats Community building experiences within the
framework of Living Lab approach:
A key for supporting future EU-African Research
Cooperation
Karel Charvat, Ota Cerba
Help Service Remote Sensing
Czech Republic
Ana Saez
NEXT STEP srl

INSPIRE & Social Validation
• “Open Innovation” Has demonstrated that better
ideas come from outside of the organizations.
• Standards adoption needs long period of time
and clear citizens and research community
acceptance for success.
• Interoperability and its benefits for cooperation
are a second priority for many researchers and
policy makers dealing with environment.

INSPIRE & Social Validation
• Environment needs sustainability and clear
synergies between involved communities
• Citizens and users aims to have real and useful
services available in their daily life

Issues for INSPIRE
• Integrated community’s environmental policy-
making
- Habitats-related data normally managed by
different and distinct entities
• Top-down consensus-building processes across
Member States
- Weak bottom-up feedback slows adoption
• Spatial Data contained in Annexes I-II-III

Social Spaces for Research and Innovation
SOCIAL SPACES FOR
RESEARCH AND INNOVATION
PEOPLE-LED
INNOVATION

HABITATS Social networks
Goals:
• Create a social network to consolidate the
HABITATS user communities and structure the
discussions
• Engage stakeholders and related networks in
the communication process
• Develop usage scenarios, capture use
requirements, assess the potential impact

Aggregated
communities
HABITATS
Core
Community
Communities linked to
HABITATS
Interested
Communities
Other Communities
HABITATS Learning Community Space

HABITATS core community on NING
www.inspiredhabitats.ning.com
www.habitats.cz

Lessons learn from user communities
WILD SALMON
MONITORING
LA PALMA
MARINE
RESERVE
NATURAL RESOURCE MGMT
SHEEP & GOAT
HERD
MANAGEMENT
ECON ACTIVITY
AT COASTAL
BENTHIC HAB.
ECONOMIC ACTIVITIES
HIKING TRIP
PLANNER
SORIA
NATURAL
RESERVE
ECO-
TOURISM
CZECH NAT’L
FOREST
PROGRAMME
NAT’L
POLICY

Lessons learn from user communities
• Analysis of use cases
• Generalization
• How communities request could influence
architecture design, data models and metadata
requirements

Analysis of use cases – data usage
• Regional data used regionally
• Global data used regionally
• Regional data used cross regionally
• Regional data used globally
• Global data used globally

Regional data used regionally
There is not direct requirement for INSPIRE data models
- Local data models could be wider
- Local data models reflect regional needs and also regional
decision processes
- If data are not shared outside of region (but in many cases
it is necessary), in principle global standards are not
needed
- Standards are needed in case of more data suppliers, to
guarantee data consistence

Regional data used regionally

Global data used regionally
• Global data are in some content something like de facto
standards
• In some cases it is necessary to be possible transform
data into such models, which is required by regional
decision processes
• The global model has to cover regional decision needs
(GMES case for example)
• Question is, if this transformation will be done on fly or
offline
• Language problem

Example FMI data used locally

Regional data used cross regionally
• There is already very visible problem of data
harmonization, this problem is higher, in the
case of cross boarder regions
• In many cases, like tourism we need deal not
with one or more separate data theme, but with
complex mixture of themes related to INSPIRE
• In some application cases model could be
broader then INSPIRE definition

Tourist example

Regional data used globally
• Probably most relevant cases for INSPIRE data
model
• The idea is to combine local data sets into one
data set
• The regional data has to be transformed (in
many cases simplified) into global model
• Relevant cases are tourism, transport,
education, research, environment protection,
risk management, strategic decision

Regional data used globally

Global data used globally
• Global data are standard or de facto standard.
• It is expected, that in the case of data of public
sector, this data will be already in INSPIRE
models
• It could happened, that this models has to be
transformed on the base of needs of concrete
application area. Transformation could be based
also on Feature Encoding or SLD

Global data used globally

Where you can find results?
www.habitats.cz
www.inspiredhabitats.ning.com
http://www.linkedin.com/e/-ehsedk-grw4ca1o-
4p/vgc/3374609/eml-anet_dig-h_gn-tpd-cn/

SPATIAL DATA HARMONIZATION:
EAST AFRICA CASE

Task
• Integrate geodata In Burundi, Kenya, Rwanda,
Tanzania and Uganda
• Use free data sets as well as free (mostly open-
source) software

Data sources
• OpenStreetMap
• Land cover/Land use data (GlobCover, AfriCover)
• VMap
• TM World Borders
• Global Lakes and Wetlands Database
• World Wildlife Federation ECO

Data formats
• ESRI Shapefile
• Talend Open Studio enables to process another
spatial data formats (e.g. OSM or connection to
database)

Technologies
• Harmonization: ETL Tool – Talend Open Studio +
Spatial Data Integrator
• Data preparation & viewing: GIS – OpenJUMP,
Quantum GIS

Harmonization process

Result map

Relation to Ontologies
• Ontologies describe data sets and their
properties
• Processing of ontologies derives new
information focused on necessary
harmonization steps

Relation to Ontologies

Questions – OSM & databases
 Harmonization tools are able to connect OSM
files and databases.
 We've tested OSM original files as well as these
files converted to database, but...
 ...the geometry of original files was corrupted →
therefore the processing was stopped.
 ...the files were very large → therefore the
processing was very slow.

Questions – Forests in Burundi
Harmonization of forest in Burundi from four different sources
OSM
VMap
WWF ECO
GlobCover

Results
www.geoportal4everybody.eu
http://www.linkedin.com/e/-ehsedk-gs0f7h88-
70/vgc/3516067/eml-anet_dig-h_gn-tpd-cn/

Ist africa2012 habitats_2

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