Geospatial Integration in official

statistics Germany:

GSGF & GSBPM

Dr. Susanne Schnorr-Bäcker & Kathrin Gebers Federal Statistical Office of Germany

Joint UNECE/UN-GGIM Workshop on Integrating Geospatial and Statistical Standards 6 - 8 November 2017 in Stockholm/Sweden

Outline

1. Small scale data from Official Statistics Germany

2. Integration of GSGF and GSBPM - Challenges

3. Some examples and further developments

4. Conclusions

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden Slide 2

General Databases GENESIS-Online about 220 statistics >NUTS3 ½ billion values,about 600.000 quarterly table retrievals

Regional database for Germany with over 90 statistics for ≤ NUTS 3, of which 20 statistics for municipalities, in total about 20 million values

In total about 400 statistics of which 2/3 are EU-wide harmonized with 5,5 million monthly visits and 760.000 downloads

1. Small scale data from Official Statistics Germany

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden Slide 3

Interactive mapping tools

Since 2012: Grid based data • Population census • Agricultural census Since 1990: Administrative Units for NUTS 3 and municipalities • Regional atlas • Housing in Germany Others such as • Foreign trade atlas • Atlas on elections

Slide 4

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

Laender offices Launching statistics, i.e. data collection,

data aggregation up to Laender level

Federal Statistical Office:

Development of methods and technical preparations

Further development of the programme of federal statistics

Coordination of statistics

Aggregation and release of federal results

International representation

Cooperation regarding the production and data releases in Official Statistics Germany

https://www-genesis.destatis.de/gis/genView?GenMLURL=https://www-genesis.destatis.de/regatlas/AI001.xml&CONTEXT=REGATLAS01

Slide 5

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

2. Integration of GSGF and GSBPM - Challenges

Federal Statistical Office

14 Statistical Offices of the Laender

Federal Agency for Cartography and Geodesy (BKG)

Working Committee of the Surveying Authorities of the Laender (AdV)

Cooperation statistical data geospatial data

Other data providers and sources e.g.

Tax authorities

Social insurance agencies

Hospitals

Orthoimagery GPS data

Data combinations

Atlas of census 2011

https://atlas.zensus2011.de/

See also Schnorr-Bäcker,S.,; Etienne, M., ‘Combining statistical and geospatial data – challenges and possible solutions from German official statistics’ perspective’, presentation and paper for the EFGS meeting 2016 in Paris, France, https://www.efgs2016.eu/access-by-session/session-3-integration-of-geography-in-the-statistical-production-process/

Slide 6

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

1. Dissemination of place based statistics (tables, graphs, maps) and services

2. Integration into GIS

3. Evidence based policy making

4. Preparation of surveys (i.e. sample design,..)

5. Data collection and plausibility checks

Integration of geospatial and statistical data

Slide 7

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

Federal Statistical Office

14 Statistical Offices of the Laender

Federal Agency for Cartography and Geodesy (BKG)

Working Committee of the Surveying Authorities of the Laender (AdV)

Data providers

Publicly funded bodies (independent, objective, scientific)

Basic law determining rights and obligations (i.e. obligation to deliver the data needed)

Skilled staff, resources

Principle 1: Use of fundamental geospatial infrastructure and geocoding

Infrastructure

Slide 8

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

Federal Statistical Office Statistical data legal foundation generally

and of each statistical dataset

GMAS in line with GSBPM comprehensive quality

guidelines EU Code of Practice UN fundamental principles

Federal Agency for Carto- graphy and Geodesy (BKG)

Geodata from BKG general legal foundation georeferenced address

data house coordinates digital basic landscape

model building polygons

Data providers

automated processing

comprehensive

reliable

up to date

high quality

Principle 2: Geocoded unit record data in a data management environment

Memorandum of Understanding for cooperation over all and Plan of Action (Maßnahmenplan) for work in progress and major projects on the job

Joint data provision

Slide 9

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

data

Official Statistics

NMCA’ s topographical model:

Data providers

Time stamp for maps according to reporting period or point in time of statistical data

Maps for the presentation of time series with varying geometries

Standards for geocoding (addresses, grids used)

Principle 3: Common geographies for dissemination of statistics

Geocoding as part of GSBPM resp. GMAS Standards mostly regulated by legal acts for Germany and EU

2008

2009

2013 GDP per employee

Needs

Slide 10

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

Principle 4: Statistical & geospatial interoperability

Harmonizing metadata, viewing, download processes etc.

https://www.govdata.de/ http://www.geoportal.de/DE/Geoportal/Karten/karten.html?lang=de

GDI-DE GOVDATA

http://www.zki.dlr.de/de

ZKI-DE*

*Center for Satellite Based Crisis Information

Slide 11

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

Federal Statistical Office Geospatial statistical data

accessible to everybody free of charge easy to use

data releases in the internet & customized on demand

BKG

open data platform geoportal.de GDI-DE

Principle 5: Accessible & usable

• Data, up to date, reliable and thoroughly explained (quality and collection) • Technical requirements, in particular easily accessible for users and further

processing • Harmonized statutory provision in particular about cost, licensing and usage

Slide 12

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

3. Some examples and further developments Average farm size in ha 2010 grid based map

administrative units

Slide 13

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

Grid based data

Pros more detailed regional information

stable over time (changes of boundaries do not matter)

possibilities of matching with other layers

easy to collect

efficient and easily enlargeable

Cons higher initial effort (e.g. reviewing of addresses)

limited regional accuracy (1 pixel ≠ 1 object) in case of square shaped units

high data volumes

not applicable for regional analyses at exact parcel level (vector)

higher attention to confidentiality

Slide 14

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

Cross-cutting / transsectoral analyses (1)

impact of rear-end collisions

Source:http://statistikhessen.maps.arcgis.com/apps/MapSeries/index.html?appid=dc78e229c9db46c08dd4a503d0f668f4

Source: https://www-genesis.destatis.de/gis/genView?GenMLURL=https://www-genesis.destatis.de/regatlas/AI013-2.xml&CONTEXT=REGATLAS01

number of persons killed in road accidents per 100.000 inhabitants Road accidents

Slide 15

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

https://atlas.zensus2011.de/

http://statistikhessen.maps.arcgis.com/apps/MapSeries/index.html?appid=dc78e229c9db46c08dd4a503d0f668f4

number of deathly road accidents and persons killed in road accidents in Hesse / Germany

average age of population

Cross-cutting / Transsectoral analyses (2)

Slide 16

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

open data / open government standards

comprehensive usage of registers from other public bodies

new data sources, in particular mobile phone data satellite images use of crowd sourced data

4. Conclusions and future developments in Official Statistics Germany

Slide 17

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

good cooperation between producers of official statistical data sets and mapping agencies

harmonized procedures

high quality of statistical and geographical data

Our experiences

Slide 18

© Federal Statistical Office of Germany, S. Schnorr-Bäcker & K. Gebers, Workshop on Integrating Geospatial and Statistical Standards,

6-8 November 2017, Stockholm/Sweden

Dr. Susanne Schnorr-Bäcker & Kathrin Gebers Telefone: +49 (0)611/ 75 2082, - 2215

Susanne.Schnorr-Baecker@destatis.de Kathrin.Gebers@destatis.de www.destatis.de

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