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  • China ; Correlation ; Dynamic model ; Economic growth ; Regional analysis ; Statistical data ; Telecommunications
  • 2008
  • Black Sea ; Marine hydrology ; Runoff ; Spatial structure ; Statistical analysis ; Water circulation ; Water energy
  • 2008
  • Statistics and characteristics of permafrost and ground-ice distribution in the Northern Hemisphere
  • Altitude ; Arctic Region ; Automated mapping ; Ground ice ; Latitude ; Longitude ; Northern hemisphere ; Permafrost ; Spatial distribution ; Statistics ; Thematic map
  • 2008
  • Agricultural retreat ; Arid area ; Digital elevation model ; Gully erosion ; Murcia ; Semi-arid area ; Slope gradient ; Soil erosion ; Spain ; Statistical analysis ; Watershed
  • . At catchment scale all abandonned fields were surveyed and characteristics of each field were described. Additionally the AA. surveyed abandonned and cultivated terraces and used statistical analyses to determine the factors that influence terrace failure
  • erosion and the statistical analysis showed that these fields had significantly steeper slopes, were terraced and had cereals as previous land use. Factors that increase the risk of terrace failure were land abandonment, steeper terrace slope, loam texture
  • 2008
  • Spatial economics and spatial statistics. Theme issue
  • Agglomeration ; Economic equilibrium ; Enterprise ; Industrial location ; Industry ; Price fixing ; Space ; Spatial economy ; Spatial statistics ; Urban hierarchy
  • 2008
  • Method of directional statistic was used to express spatial dissimilarity of flood occurrence seasonality. Output resulting from application of this method is determination of the flood occurrences mean day within the year in the examined river
  • 2008
  • Analysis of variance ; Error ; Forecast ; Krigeage ; Matrix analysis ; Spatial analysis ; Statistics
  • 2008
  • The indicators of sustainable development show the statistic values that measure the capacity of integral system for contentment of the needs for present and future generations. The indicators show the situation and the guidelines, how we pursue our
  • 2008
  • Field experiment ; Japan ; Statistical data ; Tokyo ; Town ; World city
  • 2008
  • Economic behaviour ; Italy ; Living standard ; Methodology ; Price fixing ; Productivity ; Regional disparities ; Regional economy ; Statistics
  • 2008
  • Comparative study ; Europe ; European Union ; Firm ; Innovation ; Peripheral region ; Small firm ; Statistical analysis
  • 2008
  • European part of Russia ; Moscow ; Seasonal variation ; Statistical data ; Wind ; Wind speed
  • 2008
  • Agriculture ; Air temperature ; Crop yield ; Delta ; Fire ; Natural gas ; Niger ; Nigeria ; Oil exploration ; Pollution ; Soil temperature ; Spatial analysis ; Statistical analysis
  • 2008
  • Atmosphere ; Atmospheric pollution ; European part of Russia ; Forecast ; Mathematical model ; Moscow ; Ozone ; Quantitative analysis ; Statistics
  • 2008
  • Digital elevation model ; Geographical information system ; Geomorphometry ; Himalaya ; India ; Spatial analysis ; Statistical analysis ; Tectonics ; Watershed
  • 2008
  • in mortality situation within Europe is also presented and explained, and the health situation of Hungary among the WHO countries defined. The study is based on WHO statistics such as infant and adult mortality rates, average life expectancy at birth by sex
  • 2008
  • The paper describes research based on statistical and empirical data from North Cserehát, Hungary. The research aims to show the quality of life (both welfare and well-being) of 17 villages in this area. Several variables were used to present
  • 2008
  • from more than 3.5 million statistical data published by ten states of the region in the 1930s and 40s. The atlas represents an area from Saxony to Lemberg, up to the Abruzzi and Foggia in Italy, Albania, Skopje and Edirne. - (AM)
  • 2008
  • Africa ; Agroclimatology ; Climate ; Monsoon ; Precipitation ; Season ; Statistics ; Tropical zone ; West Africa
  • 2008
  • Climatic trend ; Climatic variation ; Correlation ; Freezing ; Lake ; Statistics ; Switzerland ; Temperature ; Time series
  • 2008