Collection of published Gridmaps of the month

March 2011 - Earthquake example: The grid based population data are invaluable resource for emergency planning and help to save lifes. The Christchurch Earthquake Population Exposure Map shows the extent of earthquake ground shaking (from USGS ShakeMap; represented in colour) overlain on population density at a grid size of 1 km2. Data source: U.S. LandScan 2008, Oakridge National Laboratory. The map cource: U.S. Geological Survey, National Earthquake Information Center, The 09/03/2010 Darﬁeld, Earthquake and its Aftershocks, Including the 02/21/2011, Christchurch Event, by Gavin Hayes.
February, 2011 - Analysing hospital service area in Norway: This map shows the use of the grid data for analysing hospital service area in Norway. The population grid data are invaluable data source for many planning processes as location analyses, service area estimations, among others. Gridded population data reveals for example how many persons are living within certain radius of hospital. Info on gridded data production, metadata, defining the grids in Statistics Norway can be found from Vilni Verner Holst Bloch presentation Grids and GeoStatistics.
January, 2011 - Combining night – and day – time population grid data meets the transportation planning needs: This map shows the use of the grid data in the railway station planning. The location of night- time population has been taken into account in the planning process. However, the number of school pupils in close vicinity during the day-time has not been analyzed in this planning process. Combining the night- time and day-time population grid - data would increase the effectiveness of the planning. Additional examples of the use of grid data can be found from Ingrid Kaminger presentation on “Kleinräumige Auswertungen auf Basis von regionalstatistischen Rastern in AT und Europa (GEOSTAT)”.
November, 2010 - New Raster-Oriented Statistics in Europe: NSPIRE defines a common European raster format using multiple levels of different cell sizes for mapping statistical data (see INSPIRE Annex I, 2). This signifies a growth in the importance of rasters as an alternative to administrative units for mapping statistical data. Poster by Werner Meyer, Statistics Switzerland.
December, 2010 - Gridded statistics gives answer to the questions related to distance: Adapting the society to cope with the potential flooding in coastal areas needs the answer to the simple question: How many persons are affected within certain distance from the coastline? Gridded statistics give answer to the questions not possible to answer using the statistics disseminated based on the administrative units. This month’s grid map shows commonly used spatial query to answer distance related questions: How many people are living within 10 km distance from Estonian coastline?
May 2011 - Risk of built up areas: A grid approach to mapping population pressure on agricultural areas. Agricultural land is a scarce resource. In Norway, only 3% of the land is under agricultural use and the protection of agricultural land is a national policy goal. A recent study used a grid approach to identify agricultural land threatened by population pressure. The national statistical 1 km grid with population data provided by Statistics Norway was used as a basis for the study. A GIS overlay between the grid and the national land resource map (scale 1:5,000) added more information to the grid cells. The additional information was the acreage of agricultural land and the acreage of available non-agricultural land for constructions and development . A simple algorithm was applied in order to calculate the “pressure” from population on the agricultural land in each grid cell. The resulting map shows “pressure” as Low (yellow), Medium (orange) and High (red). Grid cells without agricultural land are left blank. The map was compiled by Svein Olav Krøgli, Norwegian Forest and Landscape Institute. (Email: sok@skogoglandskap.no)
Grid Map June 2011 - Grid-based statistics give easy and reliable base for tracking spatial changes in different phenomena.: This Map shows the change of the number of workplaces between 2003-2005 in the area of southern Finland. The areas of decreased workplaces are blue and increased workplaces are red. This analysis was made for planning new housing for a growth area. Source: “Production and dissemination of grid data since the 1970 Census in Finland”, 2010
Map of the month, October 2011: This map illustrates the daytime and nighttime (residential) population produced by the Oak Reage National Laboratorium, USA. Population distribution in space and time are invaluable information in a variety of applications including emergency planning and management, rapid risk assessment,evacuation planning, consequence assessment, and mitigation implementations. Source: Characterizing High—Resolution Population Distributions: a LandScan Experience,by Eddie Bright and Budhendra Bhaduri,ORNL
August 2012 - Animal production and number of cattle and pigs linked with location at administrative level in Lithuania: This map shows animal production and number of cattle and pigs linked with location at administrative level in Lithuania. The thematic map is produced by Statistics Lithuania as a part of Statistical Atlas of Lithuania, 2010 Statistics Lithuania first interactive statistical mapping application can be found here (in Lithuanian).
July 2012 - Night time population: Remotely sensed nighttimes lights data have been used for spatial modelling of population density and economic activities, delineating of urban and rural population, amontg others. Many studies have reviled shortcomings in modelling including the accuracy and quality of the resulted data. Producing demographic and socio-economic indicators using 1 km2 grid by National Statistical Institutions will be invaluable contribution to improve the data quality in national, regional and global level.
September 2012 - Population Density: This month maps are representing census 2011 results of Republic of Ireland, produced by Central Statistical Office. The population density of Ireland based on 1 sq kilometre grid cells (Map 1) and the type of central heating within each household in Ireland in 2011, using the coordinates of each dwelling occupied at the time of Census 2011 (Map 2) .
September 2012 - central heating within each household in Ireland: This month maps are representing census 2011 results of Republic of Ireland, produced by Central Statistical Office. The population density of Ireland based on 1 sq kilometre grid cells (Map 1) and the type of central heating within each household in Ireland in 2011, using the coordinates of each dwelling occupied at the time of Census 2011 (Map 2) .

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