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  • Aggregation ; Demographic structure ; Model ; Spatial analysis ; Statistical bias ; Statistics ; United Kingdom
  • Statistical models are proposed that capture the essential features of the structure of a population composed of geographically defined groups and can encompass grouping processes and contextual effects. They are used to show how small effects
  • 1996
  • [b1] Office for National Statistics, London, Royaume-Uni
  • The west coast of Britain: statistical self-similarity VS. Characteristics scales in the landscape
  • Coastal environment ; Coastal geomorphology ; Concept ; England and Wales ; Fractal geometry ; Methodology ; Scale ; Shoreline ; Statistics ; United Kingdom
  • The west coast of Britain is examined to determine whether it is statistically self-similar or if there exist characteristic scales (i.e. complexity varies with scale). The relationship between complexity and scale for the coastline is more closely
  • studied using fractal analysis, and also with a non-fractal measure of complexity developed by the A. specifically to examine changes in complexity with scale. The applicability of the concept of statistical self-similarity and the fractal element model
  • 1996
  • Manual and automated interpolation of climatic and geomorphic statistical surfaces: an evaluation
  • Algorithm ; Automated mapping ; Cartography ; Methodology ; Model ; Precipitation ; Rainstorm ; Statistics ; Topography
  • 1996
  • Countryside recreational access in the United States: a statistical comparison of rural districts
  • are settled areas chosen to typify landscapes of their region. Statistical measures of access availability are derived from topographic maps for five levels of access rigor.
  • 1996
  • Climatology ; Methodology ; Microclimate ; Research ; Statistics
  • of this function can be examined in the original points of reference by statistical methods. - (JS)
  • 1996
  • Statistical analysis for the spatial validity of a model to forecast the daily number of forest fires
  • Applied climatology ; Forecast ; Forest ; Forest fire ; Model ; Natural hazards ; Spain ; Statistics ; Temperature
  • 1996
  • Classification ; Data processing ; Ecosystem ; Methodology ; Photosynthesis ; Remote sensing ; Statistics
  • reports on a new way to do this. Whereas image interpretation and classification is conventionally done through multivariate statistical procedures, the approach described here is a supervised method utilizing goal programming, a particular type
  • 1996
  • Canada ; Fluvial processes ; Gravel ; Quebec ; River bed ; Sediment transport ; Spatial variation ; Statistics ; Stream flow ; Turbulence
  • Turbulence statistics derived from velocity measurements along a longitudinal transect characterized by a roughness transition are presented. The results describe the turbulent characteristics of the flow above a natural rough bed and also quantify
  • 1996
  • Hail ; Model ; Precipitation ; South Africa ; Statistics ; Summer
  • 1996
  • Aerial photography ; Arid area ; Badland ; Drainage network ; Geomorphometry ; Murcia ; Photointerpretation ; Scale ; Spain ; Statistics ; Watershed
  • The effect of the scale variations applied to the morphometry of the drainage networks is examined in a badland basin, located in the semi-arid Mediterranean area of south-eastern Spain. After a primary statistical analysis, based on the correlation
  • 1996
  • Alicante ; Archeological site ; Biogeography ; Climatic variation ; Dendrology ; Ecology ; Historical geography ; Holocene ; Multivariate analysis ; Neolithic ; Olive tree ; Plantation ; Spain ; Statistics ; Valencia
  • The AA. assembled a reference collection of modern wood for detailed morphometric and statistical measurements. They also considered the influence of ecological conditions on wood anatomy. In addition, they studied archaeological wood charcoal
  • 1996
  • Environment ; Geographical information system ; Information ; Statistical data ; Statistics ; Switzerland
  • 1996
  • Arid area ; Atmospheric dynamics ; California ; Colorado ; Desert ; Dust storm ; Seasonality ; Spatial variation ; Statistics ; United States of America ; Wind ; Wind erosion
  • seasonal distribution of dust events, but has more summer events, usually associated with convective thunderstorms. Frequencies of blowing dust have weak, but statistically significant, correlations with mean annual and antecedent precipitation, suggesting
  • 1996
  • Air mass ; Alabama ; Arkansas ; Atmospheric dynamics ; Cyclogenesis ; Florida ; Heavy rain ; Louisiana ; North Carolina ; Precipitation ; Rainstorm ; Seasonality ; Southern United States ; Spatial variation ; Statistics ; Synoptic climatology
  • exhibited statistically significant seasonality.
  • 1996
  • Centrality ; Distribution of points ; Graph ; Market area ; Spatial statistics ; Spatial system ; Statistics ; Urban hierarchy
  • 1996
  • Fluvial hydrology ; Methodology ; Spectral analysis ; Statistics ; Stream ; Stream flow ; Turbulence
  • This paper demonstrates the usefulness of spectral analysis to detect and characterize narrow-band noise components in turbulent flow records. Statistical principles underlying the use of spectral analysis for noise detection are briefly reviewed
  • 1996
  • Czech Republic ; Land use ; Methodology ; Statistics
  • 1996
  • Classification ; Research technique ; Sensitivity analysis ; Spatial analysis ; Spatial statistics
  • 1996
  • Africa ; Amazon Basin ; Biogeography ; Brazil ; Cameroon ; Climatic boundary ; South America ; Spatial variation ; Statistics ; São Paulo ; Temperature ; Tropical zone ; Typology ; Zaire
  • 1996
  • Children ; Demography ; Egypt ; Enquiry ; Estimation ; Imperfect statistics ; Infant mortality ; Mortality
  • 1996