Presentation on theme: "1 Grids and GeoStatistics Vilni Verner Holst Bloch MSc. landscape ecology and natural resources Statistics Norway Otervegen 23 N - 2225 Kongsvinger Tel."— Presentation transcript:
1 Grids and GeoStatistics Vilni Verner Holst Bloch MSc. landscape ecology and natural resources Statistics Norway Otervegen 23 N Kongsvinger Tel : ++47 / Fax : ++47 / 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 Session 2: Concept for an integrated web solution / An infrastructure for geostatistics. (The Subproject 3) A work in process
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 Statistics Norway Registers on address level Population Buildings Ground Properties Sport facilities Farms Businesses And many more Partnership in Norway Digital (obligations) Expressed needs from partners
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 Grid nameCell size Number of cells SSB100m (1)0.01 km2Approx cells SSB250m (1) km2Approx cells SSB500m (1)0.25 km2Approx cells SSB1km1 km2Approx cells SSB5km25 km2Approx cells SSB10km100 km2Approx cells SSB25km (2)625 km2Approx. 500 cells SSB50km (2)2 500 km2Approx. 150 cells SSB100km (2) km2Approx. 40 cells SSB250km (2) km2Approx. 10 cells SSB500km (2) km2Approx. 4 cells (1)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. A system of standard grids
8 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: 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 ) S410 Enterprise register Jan Ole Furseth (Head of division) Beate Bartsch (GIS contact ) S430 Agricultural statistics Ole Osvald Moss (Head of division) Anne Snellingen Bye (GIS contact ) S460 Construction and services statistics Roger Jensen (Head of division) Birgit Bjørnsgard (GIS contact )
13 Quality checks Units with coordinates# records in original file # grid cellsDif. (n)Dif.(%) Enterprises ,28 Population ,17 Population ,35 Population ,24 Population ,15 Population ,15 Population ,15 Population ,16 Population ,10 Population ,14 Buildings ,37 Buildings ,37 Buildings ,33 Farms ,29 Farms ,31
14 Confidentiality rules Population by 1 square kilometre grid. Finnmark county EnterprisesNo lower limit Population1 – 9 => 5 BuildingsNo lower limit FarmsNo lower limit
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 Example: Identification of residents within a distance from a hospital. Use Presentation Delimitations Interpretation Making guidelines Article in print
25 From noise to information
26 Preliminary suggestions Topography Population Bathymetry Employees Buildings
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