1. SSW - Spatial Statistics on Web
Tuuli Pihlajamaa, Marja Tammilehto-Luode September 10th 2015
Nordic Forum for Geography and Statistics

2. Contents Introduction Oskari platform SSW in practise:
Development by Scrum methodology
Testing procedure
User stories in the project
Examples of the analysis methods to be developed
Oskari Pilot in Statistics Finland
Concluding remarks
18 September 2018
Etunimi Sukunimi

3. Introduction Objectives of the project Eurostat grant 2014-2015
To provide spatial statistics on the web
To improve the national geoportal from the point of view of statistics
To gain experience about an open source web application
To promote cooperation between the NSI and the NMA
Focus on usability of grid-base data – use of Inspire data and concept
Eurostat grant
Inspiring cooperation with the National Land Survey
SF project leader, 4 SF project members, 4 NLS project members + scrum team
Supported by both DGs
18 September 2018
Etunimi Sukunimi

4. Oskari platform Open source applications
Created and maintained by the National Land Survey
Built on standard Open Source components (OpenLayers, Geotools, Geoserver…)
Promotes extension of functionalities in a coordinated manner – integration of applications
Open Source - MIT/EUPL dual licensing
Guidelines, source code and all the content on the Developer Web Site and in GitHub
Oskari network (more than 30 user organisations), management group, integrator (e.g. responsible for maintaining the Developer Web Site)
The National Geoportal is an implementation of using the Oskari platform
18 September 2018
Etunimi Sukunimi

5. SSW in practise

6. Development by Scrum methodology
The Oskari software development in National Land Survey of Finland (later NLS) is done based on agile software development methodology Scrum
In this project one sprint lasted usually two weeks
Statistics Finland’s (later SF) part in the project was to write user stories for NLS and test that the stories were implemented right
NLS divided the user stories into smaller stories to be used for development
18 September 2018
Etunimi Sukunimi

7. Testing procedure
NLS provided a demo environment, that SF could use to test the tools and functions that were developed, before launching them in Paikkatietoikkuna
SF gave feedback and reported if the tools needed improvements
Mostly testing was done by the members in the project team, but besides that we organized also two workshops, where the application was tested by users outside the project group
18 September 2018
Etunimi Sukunimi

8. User stories in the project
13 stories were to be finished
Functions included in the stories:
Key ratios computation based on different area selections (free hand, area code, sectors and buffers)
Handling the population grid data in calculations, dealing data with protected/no-data values
Difference computation, calculating difference in population grid data values between different years
Filtering data based on the values in the data or based on the results of key ratios computation
Spatial join, joining data based on location
Heatmap analysis
18 September 2018
Etunimi Sukunimi

9. Previous analysis methods to be developed
Buffer
creating buffers around features (buffers for multiple points, buffers for lines and polygons) for buffer analysis
Key ratios computation
calculating median was added
handling the grid data with no-data values/protected values
filtering data by using results from key ratios computation
18 September 2018
Etunimi Sukunimi

10. Buffer - creating buffers around features (buffers for multiple points, buffers for lines and polygons) for buffer analysis
18 September 2018
Etunimi Sukunimi

11. Key ratios computation - handling the grid data with no-data values/protected values
18 September 2018
Etunimi Sukunimi

12. Key ratios computation – filtering data by using results from key ratios computation
18 September 2018
Etunimi Sukunimi

13. New analysis methods to be created
Buffers and sectors (Multiple Buffer)
creating buffers and sectors for analysis
Difference computation
calculating difference in population grid data values between different years
Spatial join
enriching data based on spatial location
using spatial join in key ratios computation
18 September 2018
Etunimi Sukunimi

14. Buffers and sectors (Multiple Buffer) - creating buffers and sectors for analysis
18 September 2018
Etunimi Sukunimi

15. Difference computation - calculating difference in population grid data values between different years
18 September 2018
Etunimi Sukunimi

16. Spatial join – enriching data based on spatial location
Example: Giving postal code for educational institutions
18 September 2018
Etunimi Sukunimi

17. Spatial join - using spatial join in key ratios computation, case buffers and sectors
Using population grid data for the aggregation
18 September 2018
Etunimi Sukunimi

18. Spatial join - using spatial join in key ratios computation, case buffers and sectors
Key ratios of population by sectors
18 September 2018
Etunimi Sukunimi

19. Heatmap (Kernel density)
Choose WMS-layer fo the analysis
Choose the radius of kernels, pixels per cell and weight property
18 September 2018
Etunimi Sukunimi

20. Heatmap (Kernel density)
Results:
18 September 2018
Etunimi Sukunimi

21. Oskari Pilot in Statistics Finland
Aim of the pilot is to have experience of the technical implementation of Oskari and it’s usability in SF. Results will support the GIS technology review.
To reach the aim, we will:
Build internal catalog service of spatial statistics data of Statistics Finland
Document the process, how to build Oskari services, based on practical experience
18 September 2018
Etunimi Sukunimi

22. Approach to the Oskari Pilot
First stage: Technical understanding of Oskari platform
Building a test environment
How to implement Oskari functions in the Pilot service
Questions regarding update and the administration of the intranet service
Defining the demands of opening a public service (maybe in the future)
Second stage: Building a pilot service
Defining the service (data and functions)
Implementing data and metadata in the service
Implementing Oskari functions to the Pilot service
18 September 2018
Etunimi Sukunimi

23. First stage: Technical understanding - Intranet application in function
18 September 2018
Etunimi Sukunimi

24. Second stage: Pilot service to be build
Viewing service in intranet
Open data from SF interface services and other data
Ready service will support statistics production and increase the understanding of the data available in SF
18 September 2018
Etunimi Sukunimi

25. Data in the pilot service
INSPIRE-data (newest)
Municipality-based statistical units
Grid net for statistics 1 km x 1km
Population Distribution
Production- and Industrial Facilities
Educational Institutions
PAAVO – Open data by postal code area
Municipal sub-areas
Prices of dwellings in housing companies – by postal code area
18 September 2018
Etunimi Sukunimi

26. Pilot service – draft from the data list and metadata from National Geoportal
18 September 2018
Etunimi Sukunimi

27. Pilot service – dataproducer’s tools
User administration
Layer administration
Layer rights administration
18 September 2018
Etunimi Sukunimi

28. Current situation of Oskari Pilot and results
Technical understanding is still evolving
Results of the piloting - by the end of the year 2015
SSW project ends at the end of the year
Results are meant to support the GIS technology review, that will be done by the end of the year
18 September 2018
Etunimi Sukunimi

29. Concluding remarks Mutual interest – a concrete cooperation project
Learning by doing – learning from each others
Promoted further cooperation
Open source application on the web feasible - Further development is promising (graphs and tables)
Cooperation with other Oskari platform users
Final report due January 2016 (Interim report available)
18 September 2018
Etunimi Sukunimi

30. tuuli.pihlajamaa@stat.fi marja.tammilehto-luode@stat.fi
Questions?