19 items found

Tags: Statistics _mathematics_ geography

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  • dataset

    File S1 - Geographic Variability in the Association between Socioeconomic Sta...

    Analyses using multilevel models with three level variance-covariance matrixes. (DOC)
  • dataset

    Gravity-model estimation with binary network variables.

    Full-sample (pooled) ordinary least-square (OLS) fit. Years y = 1960, …, 2000. Dependent variable: logs of total bilateral trade τijy=tijy+tjiy. Country-year dummy variables for...
  • dataset

    Model parameters.

    aSpecified with reference to Cook [30] and Waage et al. [36] using distributions defined in Biosecurity Australia [31]; b Derived from Sapoukhina et al. [37]; c ABS [6], Note...
  • dataset

    r37980778c78--e7c0164acd6c456e9ad7550d9ce840f8

    For most potential timber geochemical sources, mean posterior proportion probabilities show little difference from prior probabilities. This indicates a high degree of...
  • dataset

    r37980778c78--018b1e1080d8f5adb8b8f6cf1856c9a8

    aCategories are: adopted the most pro-environmental behaviours (++), adopted slightly fewer (+), adopted much fewer (−) and adopted the fewest (−).
  • dataset

    Explained inertia by each dimension for group A: Indoor Index, 2007.

    Explained inertia by each dimension for group A: Indoor Index, 2007.
  • dataset

    r37980778c78--0ecef01e5eade8f4dd662c42aef53f01

    Variance partition and specific-level change in variance in the USA and Canada.
  • dataset

    IMN vs. ITN: Descriptive Network Statistics.

    Note: SCC: Strongly connected components. WCC: Weakly connected components. APL: Average path length.
  • dataset

    Development of Composite Indices to Measure the Adoption of Pro-Environmental...

    ObjectiveThe adoption of pro-environmental behaviours reduces anthropogenic environmental impacts and subsequent human health effects. This study developed composite indices...
  • dataset

    Comparison of medians across multiple potential timber sources.

    Significance codes: 0.001 ‘**’ 0.01 ‘*’. Items in bold indicate that no significant difference between medians was found, potentially indicating that these sources cannot be...
  • dataset

    r37980778c78--b473ad922607ad960ee7dc038f859fd4

    Strontium isotope sourcing has become a common and useful method for assigning sources to archaeological artifacts. In Chaco Canyon, an Ancestral Pueblo regional center in New...
  • dataset

    r37980778c78--a19f8487a8f7f3bcfe24fc0919e0fc09

    aCategories are: adopted the most pro-environmental behaviours (++), adopted slightly fewer (+), adopted much fewer (−) and adopted the fewest (−).
  • dataset

    Summary of the meta-analysis.

    Q  =  Q-test for heterogeneity (including P value); ES  =  effect size point estimate; SE  =  standard error; Z  =  two-tail Z-test; 95%CI Lower  =  lower confidence interval...
  • dataset

    r37980778c78--2202870b0f37f5ddcca7ab817461f185

    Full-sample (pooled) ordinary least-square (OLS) fit. Years y = 1960, …, 2000. Dependent variable: logs of total bilateral trade τijy=tijy+tjiy. Country-year dummy variables for...
  • dataset

    r37980778c78--da0fdce2bfeb3388ac9ea27c1b18b2fd

    The Fertile Crescent in the Near East is one of the independent origins of the Neolithic, the source from which farming and pottery-making spread across Europe from 9,000 to...
  • dataset

    Individuals and spatial units frequency for the BRFSS and CCHS survey, 2009 a...

    BRFSS = Behavioral Risk Factor Surveillance System. CCHS = Canadian Community Health Survey.
  • dataset

    Coordinates and categories of pro-environmental behaviours for other socio-de...

    aCategories are: adopted the most pro-environmental behaviours (++), adopted slightly fewer (+), adopted much fewer (−) and adopted the fewest (−).
  • dataset

    Outcome and covariates distribution by gender and country.

    Outcome and covariates distribution by gender and country.
  • dataset

    r37980778c78--c9baa7e05556188921b827ab004e03b9

    Explained inertia by each dimension for group B: Outdoor Index, 2007.