inscription
Portail d'information géographique

Résultats de la recherche (97 résultats)

Affinez votre recherche

Par Collection Par Auteur Par Date Par Sujet Par Titre
  • Sources identification of heavy metals in urban topsoil from inside the Xi'an Second Ringroad, NW China using multivariate statistical methods
  • 2012
  • Canary Islands ; Infiltration ; Land use ; Soil ; Soil properties ; Statistical analysis ; Vegetation ; Volcanic soil
  • sites were selected in 3 categories of land use/vegetation cover (green forest, pine forest and cropped areas). Infiltration is extremely rapid under green forest but falls considerably under pine forest and in formerly cropped soils. The statistical
  • 2012
  • Geographical information system ; Iran ; Landslide ; Mazandaran ; Model ; Natural hazards ; Statistics ; Thematic mapping ; Vulnerability
  • The aim of this study is to produce landslide susceptibility maps at Safarood basin, Iran, using 2 statistical models such as an index of entropy and conditional probability and to compare the obtained results. At the first stage, landslide
  • 2012
  • Carpathian Mountains ; Geo-ecology ; Geographical information system ; Gully erosion ; Multidimensional scaling ; Natural hazards ; Slovak Republic ; Soil erosion ; Statistical analysis ; Strážov Mountains
  • to undertake specific multidimensional statistical methods. These were used to assess the potential susceptibly and gully erosion hazard. It is clear that the majority of the permanent gullies within the study area are controlled by the course of existing
  • 2012
  • Digital elevation model ; Earthquake ; Fault ; Geographical information system ; Graben ; Mexico ; Natural hazards ; Rockfall ; Slope dynamics ; Statistical analysis
  • In this study, rock falls and block deposits triggered by the 1912 earthquake in the eastern portion of the Acambay graben are characterized with historic, field, geomorphic, and statistical data. Earthquake magnitude, slope morphology and lithology
  • 2012
  • in the Little Brak River area along South Africa’s south coast. It evaluates changes in climate experienced in the area by comparing quantitative statistical analyses of temperature, rainfall and wind data recorded from 1967 to 2009, with qualitative historical
  • 2012
  • Climatic change ; Climatic data ; Climatology ; Fitting ; Multidimensional scaling ; Precipitation ; Statistical bias ; Temperature
  • 2012
  • as Sudetenland) – the interior of the state, and the perception of the cultural, historical, religious and administrative regions. All of the issues discussed are documented by statistical data and the author’s own research, as well as observations made
  • 2012
  • Accessibility ; Europe ; Model ; Regional development ; Spatial structure ; Statistical data ; Territory
  • 2012
  • The paper uses air temperature and crude death rate data from Belgrade in the period from 1888 to 2008, in order to show expected correlation. Statistical analysis demonstrates significant correlation values between these parameters. Before
  • 2012
  • Econometric model ; Error ; Monte Carlo analysis ; Spatial autocorrelation ; Spatial economy ; Statistical bias
  • 2012
  • Economic growth ; Living standard ; Per capita income ; Regional disparities ; Regional economy ; Statistics ; Structural stability ; Test ; United States of America
  • 2012
  • Agglomeration ; Austria ; Edge city ; Polycentrism ; Postsuburbanisation ; Service ; Spatial analysis ; Spatial statistics ; Urban area ; Urban economy ; Urban fringe ; Vienna
  • 2012
  • European part of Russia ; Forecast ; Hail ; Meteorology ; Model ; Statistical analysis ; Stavropol
  • 2012
  • Agroclimatology ; Cereal ; Crop yield ; Millet ; Model ; Pluviometry ; Precipitation ; Senegal ; Simulation ; Statistical bias
  • 2012
  • Delimitation ; Ethnic minority ; Historical geography ; Locality ; Mura statistical region ; Place names ; Prekmurje ; Slovenia ; Social history
  • 2012
  • of meteorological factors on rockfall. Despite the complexity of the rockfall process, uncertainty in the development of rockfall rate series and uncertainty in local meteorological patterns, there exist statistically significant correlation coefficients between
  • 2012
  • Farm ; Lublin ; Poland ; Regional analysis ; Rural landscape ; Specialization ; Statistics
  • 2012
  • Cluster ; Distance ; Event ; Location ; Methodology ; Pedestrians ; Road accident ; Spatial analysis ; Spatial concentration ; Statistics ; Test ; Urban area
  • 2012
  • – were selected for evaluation. The analysis is based on a number of statistical indicators, such as the index of change between 2001 and 2009 and the coefficient of variability. - (EN)
  • 2012