Integrating areal classifications and geospatial data - case IGALOD, Jennika Leino, Essi Kaukonen, Tuuli Pihlajamaa, RinaTammisto and Daniel Davis, Statistics Finland and Eero Hietanen and Kai Koistinen, National Land Survey of Finland
An Atoll Futures Research Institute? Presentation for CANCC
Integrating areal classifications and geospatial data - case IGALOD, Jennika Leino, Essi Kaukonen, Tuuli Pihlajamaa, RinaTammisto and Daniel Davis, Statistics Finland and Eero Hietanen and Kai Koistinen, National Land Survey of Finland
1. Integrating areal classifications and
geospatial data – case IGALOD
10/18/2019
Statistics Finland: Jennika Leino, Essi Kaukonen, Tuuli Pihlajamaa, Rina Tammisto, Daniel Davis
National Land Survey of Finland: Eero Hietanen, Kai Koistinen 1
2. 10/18/2019 2
• Jennika Leino, Statistics Finland
• Statistics Finland: Essi Kaukonen, Tuuli Pihlajamaa, Rina Tammisto, Daniel Davis
• National Land Survey of Finland: Eero Hietanen, Kai Koistinen
Geospatial
Classifications
Linked data
Geospatial
data
How to utilise more geospatial data in the statistical production
process?
4. 091 Helsinki
10/18/2019 4
091 Helsinki
Official
Classifications
Areal Classifications as
Linked Open Data
091 Helsinki
Geographic data as
Linked Open Data
C G
5. 10/18/2019 5
091 Helsinki
178 Juva
186 Järvenpää
FI1B1 Helsinki-Uusimaa
FI1D1 Etelä-Savo
FI1B1 Helsinki-Uusimaa
FI1B Helsinki-Uusimaa
FI1D Northern and Eastern Finland
FI1B Helsinki-Uusimaa
7. Benefits from IGALOD project
• A new way to utilise geographical data in statistical production process
• Relevat standards acknowledged (GSBPM, GSIM, INSPIRE, XKOS, etc…)
• Linked Open Data (LOD) for customers
• New opportunities to use our data
• Visualising the data on a map, a pilot app → https://www.ubigu.fi/allusion/
• Lots of new skills and competence
• Close co-operation between Statistics Finland and National Land Survey
of Finland
• New ideas, new ways to work together
10/18/2019 7