Point based statistical framework - PDF document

1 Point based statistical framework foun
Point based statistical framework foundation for system s integration and high quality spatial statistics 1 May 24 th 2016, System Integration Geospatial World Forum, Rotterdam Janusz Dygaszewicz President

2 of European Forum for Geography
of European Forum for Geography and Statistics Director of Programming and Coordination Department Central Statistical Office of Poland Geographic information system IT system Statistical data

3 + maps ( tracing paper layers over
+ maps ( tracing paper layers overlapped by hand ) Computer visualization of spatial databases Spatial databases for statistics Statistical address points • address points for dwelling locatio

4 ns ( only ) Statistical division
ns ( only ) Statistical division boundaries • Statistical regions • Enumeration areas 3 Reference materials • Ortophotomap , • Cadastral Data, • Administrative division borders , Primary

5 : • Cadaster or LPIS (Land Parc
: • Cadaster or LPIS (Land Parcel Identification System), • Road and street network (commercial), • Geographical Names , • Topographic Data Base . Secondary : 4 Results 210 GIS operators

6 in 63 regional offices 6 month
in 63 regional offices 6 months time (January – June 2010 ) 5,7 milion statistical address points acquired GIS built from scratch in a very short time 5 6 7 Hand - Held terminal

7 with GPS  HTC Touch Pro2  Q
with GPS  HTC Touch Pro2  QWERTY  GSM/GPRS/EDGE/UMTS/HSPA  GPS modul  3,2 Mpix  Windows Mobile® 6.5 CAxI • CAII - Computer Assisted Internet Interview, • CAPI - Computer A

8 ssisted Personal Interview, • CA
ssisted Personal Interview, • CATI - Computer Assisted Telephone Interviewing . CAxI 9 CAXI 10 11 13 „ The 10 Level Model ” unique identifier s system 14 Personal proposition of Janus

9 z Dygaszewicz CSO Poland „ The
z Dygaszewicz CSO Poland „ The 10 Level Model ” 15 Personal proposition of Janusz Dygaszewicz CSO Poland 16 Personal proposition of Janusz Dygaszewicz CSO Poland 1. ADMINISTRATIVE LEVELS (level 1 -

10 5) • The both systems (geodetic an
5) • The both systems (geodetic and statistical) function five reference layers relating to the administrative division of the country (in Europe NUTS 1, 2, 3 and LAU 1, 2) . • F rom the point of view of data synchroniza

11 tion those layers are treated equally b
tion those layers are treated equally by both systems. • D ata collected in geodesy and through statistical service are referenced to the same geometry that is already established usually by Mapping Agency (MA). • I

12 t is possible to use this geometry for t
t is possible to use this geometry for the process of geocoding statistics. • P rocess takes place at the high level of aggregation which is more often not satisfactory for users of the statistics. „The 10 Level Model”

13 for harmonization of statistical and g
for harmonization of statistical and geodesy reference framework . „ The 10 Level Model ” 17 Personal proposition of Janusz Dygaszewicz CSO Poland ? 18 Personal proposition of Janusz Dygaszewicz CS

14 O Poland 2. I NDIVIDUAL UNITS FOR INT
O Poland 2. I NDIVIDUAL UNITS FOR INTERIOR PUPRPOSES (level 6 ) • Two different system of territory division . • cadastral units and cadastral parcels in geodesy , • statistical regions and enumeration areas

15 in statistics. • H armonization
in statistics. • H armonization causing some problems because statistics used statistical units so commonly and unfortunately geodesy „ don’t like ” such division of space , prefer own cadaster system

16 . • This is main source of misunders
. • This is main source of misunderstanding between our two communities ! „The 10 Level Model” for harmonization of statistical and geodesy reference framework . „ The 10 Level Model ” 19 Personal pro

17 position of Janusz Dygaszewicz CSO
position of Janusz Dygaszewicz CSO Poland 20 Personal proposition of Janusz Dygaszewicz CSO Poland 3. POLYGON (level 7) • In geodesy the polygonal layer is commonly used. • I n case of environmental pheno

18 mena their polygonal ranges are quite
mena their polygonal ranges are quite problematic to identify. • S uch badly standardized layer would be characterized by a huge variability and also diversity of surveyed polygons. • Consequently for statistical p

19 urposes it would become confusing over
urposes it would become confusing over time and useless for statistical analysis and comparisons . • GRID could be a solution ! . „The 10 Level Model” for harmonization of statistical and geodesy reference fr

20 amework . „ The 10 Level Model â
amework . „ The 10 Level Model ” 21 Personal proposition of Janusz Dygaszewicz CSO Poland 22 Personal proposition of Janusz Dygaszewicz CSO Poland 4. GRID (level 8) • K ind of compromise is t

21 he idea to use grid as a special type
he idea to use grid as a special type of the polygon. • Such standardization of a polygon ensures grid with appropriately selected mesh. • The problem is that the geodesy „ don’t like ” the GRID and

22 such objects should be officially
such objects should be officially introduced into the existing geodetic system. • T his step guarantees the proper development of the correct geocoding environmental phenomena presented in statistics „The 10 Level

23 Model” for harmonization of statisti
Model” for harmonization of statistical and geodesy reference framework . „ The 10 Level Model ” 23 Personal proposition of Janusz Dygaszewicz CSO Poland 24 Personal proposition of Janusz Dygaszewicz

24 CSO Poland 5. LINE (level 9) •
CSO Poland 5. LINE (level 9) • Geodetic data are presented using linear objects . • I n statistics there are no surveys that could be presented using this type objects . • The possibility of creating linear stat

25 istics will appear in the near futur e
istics will appear in the near futur e. • I t will allow for simple connection between linear statistical data with geometry offered by geodesy (linear geocoding). e.g. transport, waterways or linear investments. „T

26 he 10 Level Model” for harmonization o
he 10 Level Model” for harmonization of statistical and geodesy reference framework . „ The 10 Level Model ” 25 Personal proposition of Janusz Dygaszewicz CSO Poland 26 Personal proposition of Janusz

27 Dygaszewicz CSO Poland 6. POINT (le
Dygaszewicz CSO Poland 6. POINT (level 10) • At the lowest level of geocoding, in both systems, points reflecting the spatial position are functioning, usually in the form of x,y coordinates. • I n this area the f

28 astest progress in the field of coopera
astest progress in the field of cooperation between statistical and geodesy services is observed . • The reason is that in the last census most countries successfully used geometry of the address points and it become an

29 important link between statistical and s
important link between statistical and spatial data (precise point geocoding). „The 10 Level Model” for harmonization of statistical and geodesy reference framework . „The 10 Level Model” for harmonization of statis

30 tical and geodesy reference framework .
tical and geodesy reference framework . 27 Personal proposition of Janusz Dygaszewicz CSO Poland C onclusion : T he question marks in the proposed model should be the subject of intensive w

31 ork for the Group of Geospatia
ork for the Group of Geospatial Experts in order to break down existing barriers and as a starting point to make practical progress in the methodology of combining spatial da

32 ta with statistical data, with
ta with statistical data, with particular emphasis on the specifics of environmental phenomena and SDG indicators . „ The 10 Level s Model ” unique identifier s system 28 Personal pro

33 position of Janusz Dygaszewicz CSO
position of Janusz Dygaszewicz CSO Poland Five principles of the proposed Global Statistical Geos patial Framework Accessible & Usable Interoperable data and metadata standards Common geogra

34 phies for dissemination of statistics
phies for dissemination of statistics Geocoded unit record data in a data management environment Use of fundamental geospatial infrastructure and geocoding The Statistical Geospatial Framework GEO .STAT .GOV .P L

35 GEO .STAT .GOV .P L Demographic
GEO .STAT .GOV .P L Demographic data in 1 km 2 grid 32 ( persons ) 33 Copyright © 1997 - 2015. The Trustees of Columbia University in the City of New York . Point based statistical framework a foundat

36 ion for system s integration and h
ion for system s integration and high quality spatial statistics 36 May 24th 2016, System Integration Geospatial World Forum, Rotterdam Janusz Dygaszewicz j.dygaszewicz@stat.gov.pl Thank you ! Questions