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  • Chinese statistics : classification systems and data sources
  • Agriculture ; China ; Classification ; Data ; Data base ; Economy ; Industrial sector ; Industry ; Service ; Statistics
  • China researchers make frequent use of official Chinese statistics, but these statistics are often not well understood. A second part of the article provides an overview of the wealth of Chinese statistics now available. It points out
  • the limitations of some of these sources and provides references to a secondary literature that discusses the meaning and quality of particular Chinese statistics.
  • 2014
  • Connecticut ; Correlation ; Proximity ; Spatial analysis ; Spatial distribution ; Spatial weighting ; Statistical analysis ; Statistics ; United States of America
  • The AA. analyse geographically weighted colocation quotients through specification and application. Firstly, they generaliseLeslie and Kronenfeld's global measure as well as specify a local counterpart for each global statistic using two different
  • 2014
  • Air temperature distribution over Mongolia using dynamical downscaling and statistical correction
  • Air temperature ; Climate ; Interpolation ; Mongolia ; Mountain ; Research technique ; Space time ; Spatial differentiation ; Statistics ; Temperature
  • 2014
  • A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
  • performance than LR. These resultant maps can be used to extend the capability of bivariate statistical based model, by finding the relationship between each single conditioning factor and landslide locations, moreover, the proposed ensemble model can be used
  • to show the inter-relationships importance between each conditioning factors, without the need to refer to the multivariate statistic.
  • 2014
  • . The results reveal that behaviorally, mental rotation performance of the different stimuli type is statistically consistent within categorical type and statistically different among categorical types. Further, the brain activation results reveal
  • 2014
  • Czech Republic ; Mental map ; Moravia ; Perception ; Statistical analysis
  • The paper proposes an innovative method for estimation of mean border from a set of polygons. This method is based on statistical estimation of mean line using distribution of distances at given directions.Confidence intervals for mean line
  • are calculated, which allows to incorporate uncertainty into the analysis. Compared with currently used methods, the proposed procedure offers an objective statistical evaluation of data, it enables analyst to include his/her expert knowledge into the estimation
  • process and enables statistical testing of hypotheses. The results with experimental data are very promising, since these data are generated by a well-known process. The results with real data are comparable with those, reported by previously published
  • 2014
  • Convergence ; Education ; Educational level ; Employment ; Norway ; Per capita income ; Probability ; Regional analysis ; Statistical analysis ; Statistical distribution
  • 2014
  • Monte Carlo analysis ; Sampling ; Simulation ; Spatial statistics ; Statistics ; Test
  • 2014
  • City size ; Gibrat's law ; Italy ; Spain ; Statistical distribution ; Statistics ; Twentieth Century ; United States of America ; Urban growth ; Urban structure
  • 2014
  • Core-periphery ; Economic efficiency ; Factory ; Industry ; Japan ; Productivity ; Statistical distribution ; Statistics
  • 2014
  • Application of statistical models to the prediction of seasonal rainfall anomalies over the Sahel
  • 2014
  • Is Eurasian snow cover in October a reliable statistical predictor for the wintertime climate on the Iberian Peninsula ?
  • 2014
  • G2Sd : a new R package for the statistical analysis of unconsolidated sediments
  • France ; G2Sd package ; Grain size distribution ; Graphics ; Research technique ; Sedimentology ; Statistical analysis
  • 2014
  • This paper moves beyond statistics on belonging and community by attaching a more nuanced and detailed understanding of the everyday situation of belonging and community for migrants living in Wales. It draws on in-depth qualitative research
  • 2014
  • 2014
  • [b1] Dept. of Statistics and Econometrics, Univ., Malaga, Espagne
  • and 2011. Statistical correlations were established between the peak values of average annual temperatures, represented in space, and negative changes in the NDVI index, as revealed by the change-detection analysis. The results obtained indicated
  • there is a statistically significant connection between thermal stress and the desiccation (degradation) of forest species in the analyzed area, with false acacia (Robinia Pseudoacacia) the main species to be impacted.
  • 2014
  • A new spatial optimization perspective on the delineation of metropolitan and micropolitan statistical areas
  • 2014
  • The AA. examine the spatial distributions of third-order moments of velocity fluctuations, the turbulent kinetic energy (TKE) fluxes, and the conditional statistics of Reynolds shear stress across the equilibrium crescentic scour structures
  • 2014
  • [b1] Fluvial Mechanics Lab., Physics and Applied Mathematics Unit, Indian Statistical Inst., Calcutta, Inde
  • and 4.0 m) for 2 years for a forested SE Australian site, and with 32 slope length-runoff data sets from 12 other published studies undertaken betweeen 1934 and 2010. Using the parameterised model resulted in a Nash and Sutcliffe statistic between observed
  • 2014
  • [b3] Dept. of Mathematics and Statistics, Univ. of Melbourne, Victoria, Australie
  • Classification ; Czech Republic ; Development axis ; Drainage network ; Geological structure ; Methodology ; Moravia ; Statistical analysis ; Valley ; Vector analysis ; Watershed
  • . The orientations of both the valley axes and the geological structures were evaluated by the construction of outline diagrams in the programme Spheristat. The directions of valley axes were compared with geological structures by statistical relationships
  • 2014