Sitemap

• “Project FairHair – A global geoinformation demonstration project. A global demonstration project initiated by the Global Forum for Geography and Statistics (GFGS)”
• “UN-GGIM: Europe – enhancement of cooperation to promote data integration for policy outreach UN-GGIM: Europe Work Group on Data Integration “
• 11.2.1 Austria
• 11.2.1 Estonia
• 11.2.1 Norway
• 11.2.1 Poland
• 11.2.1 Portugal
• 11.2.1 Sweden
• 11.3.1 Norway
• 11.3.1 Portugal
• 11.3.1 Sweden
• 11.7.1 Estonia
• 11.7.1 Norway
• 11.7.1 Sweden
• A “Sandbox” for Integrating Statistical and Geospatial Information
• A hybrid census approach – high resolution gridded population estimates in the absence of a complete national census
• A Scalable Analytical Framework for Spatio-Temporal Analysis of Neighbourhood Change: A Sequence Analysis Approach
• About EFGS
  • EFGS Organisation
  • EFGS Contacts
  • Global Forum for Geography and Statistics (GFGS)
  • Nordic Forum
  • Related Forums
  • Lars H. Backer Prize
• Addressing a Growing Shortage of Spatial Data Scientists through New Technologies
• An experimental approach for balancing characteristics in the design of enumeration areas for 2021: Dividing up the Republic of Ireland
• Citizens to services – An insight into the workings of the Access to Services domain within the Welsh Index of Multiple Deprivation 2019
• Conferences
  • EFGS Conferences
    • EFGS 2008 Conference Bled, Slovenia
    • EFGS 2009 Conferences The Hague, The Netherlands
    • EFGS 2010 Conference Tallinn, Estonia
    • EFGS 2011 Conference Lisbon, Portugal
    • EFGS 2012 Conference Prague, Czech Republic
    • EFGS 2013 Conference Sofia, Bulgaria
    • EFGS 2014 Conference Krakow, Poland
    • EFGS 2015 Conference Vienna, Austria
    • EFGS 2016 Conference Paris, France
      • EFGS 2016 Conference Paris – Photo Gallery
    • EFGS 2017 Conference Dublin, Ireland
    • EFGS 2019 Conference Manchester, United Kingdom
      • Authoritative Geodata in a European context
      • Boundary changes influence on statistical indicators
      • EEA’s Integrated Data Platform: management, visualisation, and assessment of environmental data.
      • Enabling geospatial data to support smarter Government – perspectives from Ireland
      • Findiagram – Visualizing Finnish topographic data for better decisions
      • Gridded Population of the World (GPW) version 5: Building and using a global collection of subnational data
      • Interacting with multiple cartographic representations: the MapMuxing project
      • Maps and Statistics in Harmony
      • Remote sensing and machine learning to identify vegetation in urban residential gardens
      • Settlement classification from multi-scale spatial patterns of building footprints in a machine learning approach
      • The Global Statistical Geospatial Framework: foundations, development, adoption and the future
      • The nested grid: a data driven, variable resolution gridded output
      • The new grid data of the French National Institute of Statistics and Economic Studies (Insee)
      • Use of Sentinel images for fairer control of the Common Agricultural Policy
      • Using uncertainty in gridded population estimates to support decision-making processes: methods, tools and applications
  • GFGS Conferences
  • NFGS Conferences
    • NFGS 2004 Conference Copenhagen, Denmark
    • NFGS 2005 Conference Stockholm, Sweden
    • NFGS 2006 Conference Kongsvinger, Norway
    • NFGS 2007 Conference Helsinki, Finland
    • NFGS 2013 Conference Copenhagen, Denmark
    • NFGS 2015 Conference Stockholm, Sweden
    • NFGS 2017 Conference Oslo, Norway
    • NFGS 2019 Conference Helsinki, Finland
• Data
  • European
  • National
• Deploying the Global Statistical Geospatial Framework to help achieve the Sustainable Development Goals
• Developing a grid-based scoring system for access to public services in Turkey
• Developing grid-based indicators of land use density and mix using building data in South Korea
• Developing retail geographies to inform high street policy; a project by Ordnance Survey (OS) and Office of National Statistics (ONS)
• Earth Observation and Data Integration for Urban Green Space Statistics
• EFGS 2017 Conference Dublin – Photo Gallery
• EFGS 2019 Conference Manchester, United Kingdom
• EFGS 2019 Conference Manchester, United Kingdom – invitation
• Enhancement of Eurostat spatial data: what we can(not) do with available LAU2 units?
• Gallery EFGS 2018 conference
• Geo data science for reporting the UK’s progress against the Sustainable Development Goals
• Geocoded Statistical Information within the German Statistical System – State of Play
• Geospatial architecture of Cartographic & Statistical System of Andalusia
• GEOSTAT
  • GEOSTAT 1A
    • test
  • GEOSTAT 1B
  • GEOSTAT 2
  • GEOSTAT 3
• Health impact assessment in Andalusia (Spain) using geospatial information
• High-Resolution Population Mapping and the Example of South Sudan
• Impact of Spring Flooding in Canada Using Statistical and Geospatial Information
• Information base
  • Introduction to Spatial Statistics
    • Frequent Asked Questions (FAQ)
    • Handbook of Spatial Analysis
    • Terminology*
  • Spatial Statistics Case Studies
    • Case studies – Other, example page
    • Data collection
      • Cell phone statistics in Slovenia
      • Combining building register data with satellite imagery
    • Analyses
      • Access to emergency hospitals
      • Assessing urban green space in Sweden
      • Climate statistics at LAU 1 and NUTS III levels (PT)
      • Feasibility study on potential accessibility indicators to schools (PT)
      • Mapping high-resolution population and employment data in urban areas: some tests taking into account height and functions of buildings
      • Potential territorial coverage of broadband internet access (PT)
    • Data structure – quality
    • Dissemination
      • Dissemination of small area statistics by Statistics Netherlands
      • Geostatistics Portal in Poland
      • Statistical cities (PT)
      • Statistical Grid in Brazil
      • Survey on the impact of the forest fires occurred in Portugal at the summer of 2013
      • Tool for visualisation and dissemination of geospatial statistics in Slovenia
      • Visualisation – The shape of Sweden according to population density
    • Data production chain
      • Integration of geospatial information in the GSBPM by Statistics Norway
    • UN SDG Indicators
      • UN SDG indicator 11.3.1
      • UN SDG indicator 11.7.1
  • Spatial Statistics Best Practices
    • Guidelines
    • Manual
      • Methodology and source data used to estimate census 2011 population in urban atlas 2012 polygons (For bulgarian cities)
      • Production of GRID statistics – aggregation
    • Tools
      • Eurostat grid generation tool for ArcGIS
    • Templates
  • The Global Statistical Geospatial Framework
  • Links
  • GSBPM
• Innovative spatial analyses of commuting data to develop best practice labour market area definitions needed by policy-makers in the UK and internationally
• Integrating statistical and geospatial data from two organisations with linked data methods
• Leaving no one behind; leaving no one without urban public transport?
• Main learnings from UN-GGIM: Europe core data. The key questions core data answers (or not).
• Mapping Subnational Boundaries: The GRID3 Approach
• News
• Presentations
• Privacy Policy
• Publishing Ireland’s Authoritative Geospatial Data as Linked Data
• Quality of life in Europe – opportunities and threats for an objective evaluation
• Retail trade areas – using geodata to measure the development of retail trade
• Share your knowledge
• Statistics Finland’s Shared Geospatial Services for Statistical production
• Table Joining Service 2.0 – Combine Spatial and Statistical Data for Analysis and Visualization
• The EU Science4Peace Portal
• The Location Index: a missing piece of Australian data integration infrastructure
• Towards the SDGs: Earth observation for sustainable development
• Training
• UN SDG indicator 11.2.1
• Unequal Distribution of Access to Public Safety: The Case of Local Governments in Santiago de Chile
• Using dynamic models to calculate the economic value of air pollution removal by vegetation.
• Where is the city ? Different statistical typologies
• Workshops