Geostatistics Portal – new developments and future plans
Mirosław Migacz (Central Statistical Office, Poland)
Developed since 2011 and officially launched in 2013, the Geostatistics Portal is the place, where statistical data users can find everything they need to visualize data on thematic maps. Though the system was initially built for disseminating census results, the data scope and tool variety is growing constantly since the launch.
The Local Data Bank – a database with vast amounts of statistical data updated on monthly basis is now fully accessible via the Portal. Thematic presentations can be prepared for data since 2002 and presented phenomena can be compared within a selected set of years. If this extensive database is not enough, users can import their own data and visualize them using the complete set of thematic map tools.
The Geostatistics Portal offers a broad choice of geovisualization tools. Customizable choropleth maps can be created to visualize statistical indicators, whereas absolute data can be shown using a powerful set of diagram map tools. Single and multiple phenomena can be presented using different kinds of diagram maps. Users can visualize absolute values, reflect a structure of a phenomenon or show its trend across a span of several years. Complex diagram maps allow presenting data in different units and different scales on one single map. Any thematic map created in the Portal can be printed out or saved as a document, while statistical data can be exported as a table.
While most data banks and portals offer data for basic administrative and statistical units (like NUTS and LAU), the Geostatistics Portal goes a few steps further. Statistical grids for the most popular demographic classifications are available for view and download. If those static presentations are not enough, users can perform queries on census microdata drawing a freehand polygon. An aggregated result of such a query is returned to the user, provided the statistical confidentiality rules are met (a check is performed “on-the-fly”).
At the moment, the Geostatistics Portal offers access to an extensive set of statistical data, advanced visualization tools, data presentations on a level lower than LAU2 and mechanisms for microdata querying on any desired area. A set of tools and presentations is also available in a mobile version of the system (available as an application). Furthermore, the Portal is also the Polish statistics’ gateway to INSPIRE datasets and services, which are fully compliant with the Directive’s technical guidelines.
The already impressive set of tools is to be developed further. Future plans include introducing georeferenced linked open data, exploratory spatial analyses, geostatistical modeling and semi-automated enrichment of user supplied data. The existing tools are to be updated, expanded and made more flexible – all this to bring statistical data closer to the people and authorities and make governance easier on all administrative levels.
An open and closed case ? Dissemination and the use of proprietary suppliers in an open data
Ian Coady (Office for National Statistics, United Kingdom)
Statistical organisations are increasingly challenged to make use of open data tools and software to support the integration of statistics and geography as part of a wider shift by public sector organisations to move away from the high cost and bespoke development of commercial suppliers. ‘Open’ has its own challenges however with the need to build enough capability and expertise to be able to support a corporate approach to open software.
This presentation will look at a case study from the UK where the NSI has worked with a commercial supplier (ESRI) on the delivery of a portal that can meet the demands of open data.
It will examine the challenges of publishing high quality geographic data and how the shifting demands of the user community is changing the methods through which we make our data available. Finally, it will look at how the statistical-spatial community could develop generic shared platforms to support a common approach to statistical production such as that set out by the Common Statistical Production Architecture for statistics.
Table Joining Service : The solution for INSPIRE themes without geometry
Pieter Bresters (Statistics Netherlands, Netherlands)
A Table Joining Service (TJS) is an online service that links online statistical tables to map services with temporary online thematic map services as a
This presentation shows the impact analysis of a Table Joining Service (TJS) in the national infrastructure that the Netherlands uses for the European project INSPIRE (PDOK). It is the final delivery product of the Eurostat Grant awarded to Statistics Netherlands in cooperation with the Dutch Cadaster, PDOK and Geonovum. It is created on the bases of a proof of concept of the TJS as executed by these organizations. This proof of concept has shown how a TJS can work for the machine readable open data from Statistics Netherlands, combined with a map service with open topographic data for statistical units. A demo will be presented.
One of the strongest motivations behind the TJS is the European project INSPIRE, but other motivations are also mentioned in the presentation.
The impact analyses not only looks at the Dutch situation but also gives some thoughts about what impact it might have for the rest of Europe.
One of the conclusions is that a central European TJS could be a very cost effective way to realize the INSPIRE goals.
Finally some lessons learned and recommendation are described.
Spatial Statistics on Web 2 and Oskari
Timo Aarnio, Jani Kylmäaho (National Land Survey of Finland, Finland)
Statistics Finland and National Land Survey of Finland (NLSFI) will again join forces in the collaborative project Spatial Statistics on Web 2 (SSW2). In the previous SSW-project NLSFI developed analysis functionality in the open source Oskari software (www.oskari.org) in order to add value to the spatial and statistical data made available by Statistics Finland as web services. Oskari is a widely used and feature rich web mapping platform with support for statistical mapping and spatial analyses. In the sequel project SSW2 the emphasis on Oskari development will be on the thematic mapping functionality.
The current version of thematic mapping in Oskari was developed to utilize a single existing web service that provides statistical data. In SSW2, the aim is to make the functionality a lot more generic so that multiple sources of statistical information, such as SDMX REST 2.1 and some other REST/JSON based services are supported. We also plan to introduce additional types of visualizations such as charts, graphs, animations and different types of thematic maps.
One of the core functions of Oskari is map publishing, a tool that lets the end-user create a map application without any programming expertise. The resulting map application can then be embedded onto any web site. Most of the tools and functionalities of Oskari can also be used in embedded maps. For example, user can create a thematic map application complete with classification tools and statistical data table and embed it as a part of a website. The website might be e.g. an official report, a blogpost or a piece of news.
In the presentation we will dive into the upcoming developments in more detail and showcase a proof-of-concept implementation combining Eurostat statistical data with multiple statistical units. If time permits we can also demonstrate the current and development versions of the thematic maps functionality in practice.