Grids and GeoStatistics

1
Grids and GeoStatistics
A work in process
Routines for delivering products to the
national spatial data interest/infrastructure
community
The European Forum for Geostatistics workshop in
Bled, Slovenia 1rst 3rd October 2008 The next
step towards an integration of statistics and
geography for sustainable development
Vilni Verner Holst Bloch MSc. landscape ecology
and natural resources Statistics Norway Otervegen
23 N - 2225 Kongsvinger Tel 47 / 62 88 50 62
Fax 47 / 62 88 50 97 E-mail vvh_at_ssb.no
http//www.stat.si/forumGs/
Session 2 Concept for an integrated web
solution / An infrastructure for geostatistics.
(The Subproject 3)
2
Overview of the presentation

• Background introduction
• Defining the grid
• Making guidelines for geostatistics
• Standards and metadata
• Confidentiality and quality
• Further work and deliveries

3
Background

• Partnership in Norway Digital (obligations)
• Expressed needs from partners

Statistics Norway Registers on address
level Population Buildings Ground
Properties Sport facilities Farms Businesses
And many more
4
Background
Download page for Norway Digital partners
5
Background

• Formalising a national grid for geostatistics
• Internal drive within Statistics Norway (coming
  censuses, preparations for a geodatabase)

6
Defining the grid
SSBgrid is an open-ended definition of a family
of spatial tessellation models for use in Norway.
The models are all built with quadratic grid
cells.
The naming convention of the grids is to use the
grid cell size, measured as the length of a side
of a grid cell in meters or kilometers
concatenated to the capital letters SSB.
cell size is also denoted K, and with either m or
km to indicate length measure.
7
Defining the grid
A system of standard grids

• Grid name Cell size Number of cells
• SSB100m (1) 0.01 km2 Approx. 35 000 000 cells
• SSB250m (1) 0.0625 km2 Approx. 5 600 000 cells
• SSB500m (1) 0.25 km2 Approx. 1 400 000 cells
• SSB1km 1 km2 Approx. 350 000 cells
• SSB5km 25 km2 Approx. 15 000 cells
• SSB10km 100 km2 Approx. 15 000 cells
• SSB25km (2) 625 km2 Approx. 500 cells
• SSB50km (2) 2 500 km2 Approx. 150 cells
• SSB100km (2) 10 000 km2 Approx. 40 cells
• SSB250km (2) 62 500 km2 Approx. 10 cells
• SSB500km (2) 250 000 km2 Approx. 4 cells
• Because of limitations in many software packages
  and for practical use,
• these grids are recommended as grids with a
  county coverage.
• (2) These grids might also cover sea
  territories. Number of cells refers to coverage
  of Norwegian mainland.
• One has however to be aware of deviations in
  grid cell areas for regions remote from the
  Norwegian mainland and Svalbard.

8
Defining the grid

• Identification
• The identification (ID) of a grid cell with its
  southwestern corner at XC,YC in an SSBgrid with
  grid cell size K is
• Computational efficiency
• Since a false easting is needed to compute XC and
  YC for locations along the western coast of
  Norway, the false easting used in the ID should
  be also used for this purpose when the ID is
  calculated directly from point coordinates

9
Defining the grid
10
Defining the grid
11
Defining the grid
Projection and datum All SSBgrids are defined in
UTM33/EUREF89.
Extention SSBgrids have no definite extention.
Exchange format SSBgrids have no particular
exchange format.
12
Organisation responsibility and contact points

• S320 Population statistics
• Paul Inge Severeide (Head of division)
• Gjermund Nygårdseter (GIS contact 62 88 52 25)
• S410 Enterprise register
• Jan Ole Furseth (Head of division)
• Beate Bartsch (GIS contact 62 88 50 38)
• S430 Agricultural statistics
• Ole Osvald Moss (Head of division)
• Anne Snellingen Bye (GIS contact 62 88 52 39)
• S460 Construction and services statistics
• Roger Jensen (Head of division)
• Birgit Bjørnsgard (GIS contact 62 88 50 97)

13
Quality checks
14
Confidentiality rules
Population by 1 square kilometre grid. Finnmark
county. 1.1.2008.
15
Metadata
Task To transfer existing metadata to an
xml-document
16
Metadata
Lots of standards and tools
17
Metadata editor INSPIRE online
18
Metadata editor ESRI ArcGIS
19
Metadata editor ESRI ArcGIS
20
Metadata editor OS MapWindow GIS
21
Example UML modell for adm. boundaries
Metadata
22
Are people blue in Java?
23
and red in Japan?
24
Making guidelines

• Use
• Presentation
• Delimitations
• Interpretation

Article in print
Example Identification of residents within a
distance from a hospital.
25
From noise to information
26
Preliminary suggestions
Buildings
Employees
Population
Topography
Bathymetry
27
Possible future deliveries

• Households
• Dwellings
• Income
• Migration
• Education
• Agricultural statistics
• Historical statistics

28
Further work and cooperation

• Products developed in cooperation with users
• Enhanced metadata
• Improve quality checks and measures
• Make guidelines for use of products
• System for exchange of data

Thank you?