Dynamic Socio – economic mapping of Neighbourhoods
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Transcript Dynamic Socio – economic mapping of Neighbourhoods
1
Introduction
Introduction to EFGS and GIS.
ESTP course on Geographic Information Systems (GIS):
Use of GIS in NSIs
– Representing statistics on thematic maps Basic Level
Statistics Norway, Kongsvinger, 5th to 7th of March 2013
Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative
works based on it only if they give the author or licensor the credits in the manner specified by these.
Mr Vilni Verner Holst Bloch
MSc Resourcs Geography and Landscape Ecology
Statistics Norway
460 Construction and service statistics
Oterveien 23
N-2225 Kongsvinger NORWAY
[email protected]
Tel: +47 6288 5097
Mob. +47 9482 2532
http://creativecommons.org/licenses/by/3.0/
2
Content
• European Forum for GeoStatistics
Background
Website
Conferences
Projects
• Geographical Information Systems
Overall context
Business proces model
3
EFGS Background
EFGS started as a voluntary cooperation between National
Statistical Institutions (NSIs) in the Nordic countries in 1998, on use of
geographic information systems (GIS) and statistics.
Today EFGS has national contact persons from 32 European states
and territories, having annual conferences and meetings.
The Steering Committee consists of the national contact persons
from the NSIs that participate in the ESSnet project GEOSTAT, mainly
funded by Eurostat.
Activities are concentrated on the development of the best practices
in the production of geostatistics in Europe.
EFGS aims at beeing a global forum and umbrella organisation from
conference in Brazil in 2014.
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EFGS Website elements
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EFGS Conferences 1998 - 2014
1998 Voss, Norway
2000 Stockholm, Sweden
2002 Oslo, Norway
2003 Helsinki, Finland
2004 Copenhagen, Denmark
2005 Stockholm, Sweden
2006 Kongsvinger, Norway
2007 Helsinki, Finland
2008 Bled, Slovenia
2009 den Haag, The Netherlands
2010 Tallinn, Estonia
2011 Lisboa, Portugal
2012 Prague, Czech Republic
2013 Sofia, Bulgaria
2014 Rio de Janeiro, Brazil
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ESSnet GEOSTAT projects
Recommendations
1: The GEOSTAT grid dataset
…referenced to … Grid_ETRS89-LAEA…
2: … dataset should have a grid cell size of 1km².
3: … cell code example ‘1kmN2599E4695’ …
4: … Absolute counts of the statistical units
(such as number of inhabitants, households, buildings,
workplaces) should be disseminated without any
restrictions…
5: … downloaded free of charge…
6: … dataset version 1 … reference year 2006.
The next version … reference year 2011.
7: … quality … in the form of INSPIRE metadata encoded
in ISO19139 .xml files. The production process should be
documented per grid data source and country.
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EFGS Recommendations
1: Datum and projection. Grid data for the European GEOSTAT dataset will be
referenced to the European Grid Grid_ETRS89-LAEA_1K.
2: Cell size.
The GEOSTAT grid dataset will have a grid cell size of
1km².
3: Cell code.
The cell code is composed of the size of the cell and the
coordinates of the lower left cell corner in ETRS89-LAEA. The cell
code "1kmN2599E4695" identifies the 1km grid cell with
coordinates of the lower left corner: Y=2599000m, X=4695000m.
4: Disclosure.
The GEOSTAT project recommends that data protection
measures should depend on the delicacy of variables. Absolute
counts of the statistical units (e.g. inhabitants, households,
buildings, workplaces) should be disseminated without any
restriction, even for the smallest grid sizes.
5: Availability.
The GEOSTAT dataset can be downloaded free of charge and
without usage restrictions in a packagage of a csv file with the
statistical data, a grid net shape file and an INSPIRE metadata file
in ISO19139 encoding. The dataset can be downloaded from the
EFGS website and from the Eurostat website.
6: Reference year.
The GEOSTAT 1A dataset version 1 will have the reference year
2006. The GEOSTAT 1B dataset will have the reference year 2011.
7: Quality and metadata. The data quality of the GEOSTAT dataset version 1 will be in the
form of INSPIRE metadata encoded in ISO19139 xml files. The
production process will be documented per grid data source and
country.
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Dissemination of results
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EFGS and a global vision
27th of July 2011: UN Economic and Social Council
sets up Committee on Global Geospatial Information
Building the infrastructure for the gathering, validation, compilation and dissemination of
geospatial information is … as important for countries as the building of roads and
telecommunications networks...
…UN take the lead role and serve as the coordinating entity of the global geospatial
information community, hence the decision to create the committee…
The committee is mandated, … with providing a platform for the development of effective
strategies on how to build and strengthen national capacity on geospatial information,
especially in developing countries.
… compile and disseminate best practices and experiences of national, regional and
international bodies on geospatial information related
to legal instruments, management models and technical standards, thus contributing to
the establishment of spatial data infrastructures.
The committee will comprise experts from all Member States, as well as from international
organizations, who will serve as observers.
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Vision for a Global forum
EFGS members 2013
– cover a population of > 1 000 000 000*
ARGENTINA
[email protected]
AUSTRIA
GERMANY
[email protected]
[email protected]
BRAZIL
GREECE (ELLADA)
[email protected]
[email protected]
BULGARIA
HUNGARY
[email protected]
http://www.ksh.hu
[email protected]
ICELAND
CROATIA
[email protected]
[email protected]
INDONESIA
CZECH REPUBLIC
[email protected]
[email protected]
IRELAND
DENMARK
[email protected]
[email protected]
ITALY
ECUADOR
[email protected]
[email protected]
KOSOVO
ESTONIA
[email protected]
[email protected]
LATVIA
EUROSTAT
[email protected]
[email protected] LITHUANIA
FINLAND
[email protected]
[email protected]
THE REPUBLIC OF MACEDONIA
FRANCE
[email protected]
[email protected]
MEXICO
GEORGIA
[email protected]
[email protected]
THE NETHERLANDS
[email protected]
In [email protected]
addition good contact with
*UN 2010
NORWAY
[email protected]
POLAND
[email protected]
PORTUGAL
[email protected]
ROMANIA
[email protected]
SLOVAKIA
[email protected]
SLOVENIA
[email protected]
SPAIN
[email protected]
SWEDEN
[email protected]
SWITZERLAND
[email protected]
TURKEY
[email protected]
UNITED KINGDOM
[email protected]
ÅLAND
[email protected]
Australia, New Zeeland,
Japan and more countries in Latin America
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EFGS in growth
Member states by population. Alphabetical and cronological order.
After 2010
200
180
160
2010
140
120
100
Before 2010
80
60
40
20
From a few small and homogenic to
many and diverse
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AX DK FI IS NO SE EE AT CH NL SI UK BG DE ES FR GE HR HU IE IT KS LT LV PL PT RO SK TR BR CZ MK AR EC LU GR MX
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EFGS Task forces - voluntaires
EFGS Business Models
Expert Consultant
Erik Sommer
Vitus Berings Alle 3
2930 Klampenborg
Denmark
[email protected]
Phone: +45 4117 3582
EFGS Dissemination
Web editor
Diana Makarenko-Piirsalu
Mere tee 15, Saviranna
Harjumaa
Estonia
[email protected]
Phone: + 372 556 19 636
EFGS Global Actions
Executive Director
Lars Backer
Valhallavägen 145
11531 Stockholm
Sweden
[email protected]
Phone: + 46 86645215
You are welcome to join
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Geographic information system
• Geographic information system (GIS) is a system
designed to capture, store, manipulate, analyze, manage,
and present all types of geographical data.
The acronym GIS is sometimes used for geographical
information science or geospatial information studies to
refer to the academic discipline or career of working with
geographic information systems.
In the simplest terms, GIS is the merging of cartography,
statistical analysis, and database technology.
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Use of common and open tools
• Open source (OS)
• Open format
• Open standards
• OS software
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Parts of infrastructure. Examples.
Geographic analysis
and web presentation
Statistical tools
Data mining
Geocoding
services
Office tools and
front ends
Operating Systems
platforms
Legal issues
Standards etc
Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative
works based on it only if they give the author or licensor the credits in the manner specified by these.
http://creativecommons.org/licenses/by/3.0/
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Guidelines and recommendations
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Statistical Business Process Model
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Statistical production process
Specify
needs
Develop and
design
Build
Collect
Process
Analyse
Disseminate
1
2
3
4
5
6
7
Determine need
for information
Outputs
Build and
enhance process
components
Establish frame
and registers,
select sample
Classify
and code
Acquire domain
intelligence
Prepare data for
dissemination
database
1.1
2.1
3.1
4.1
5.1
6.1
7.1
Consult and
confirm need
Frame, register
and sample
methodology
Integrate production
system with
other systems
Set up
collection
Micro-edit
Produce
statistics
Produce
product
1.2
2.2
3.2
4.2
5.2
6.2
7.2
Establish output
objectives
Data collection
methodology
Test production
system
Run collection
Macro-control
Quality assure
statistics
Release and
promote product
1.3
2.3
3.3
4.3
5.3
6.3
7.3
Check data
availability
Process and
analysis
methodology
Finalise
production
system
Finalise
collection
Impute for partial
non-response
Interpret
and explain
statistics
Manage
user queries
1.4
2.4
4.4
5.4
6.4
7.4
Prepare
business case
Production
system
Calculate weights
and derive
variables
Prepare statistics
for dissemination
1.5
2.5
5.5
6.5
3.4
Finalise
content
6.6
#1 make a map of the infrastructure
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Example on Infrastructure : Geoportal
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GIS @ NSI Training courses
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