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significant spatial » significant potential (Expand Search), significant negative (Expand Search)
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Showing 21 - 40 results of 7,664 for search '(( significant gap increases ) OR ( significant spatial decrease ))', query time: 0.50s Refine Results
  1. 21
    Summary statistics.

    Summary statistics. by Ke Liu (121889)

    Published 2023
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  2. 22
    Threshold estimation results.

    Threshold estimation results. by Ke Liu (121889)

    Published 2023
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  3. 23
    Variable definition.

    Variable definition. by Ke Liu (121889)

    Published 2023
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  4. 24
    Total sample threshold regression results.

    Total sample threshold regression results. by Ke Liu (121889)

    Published 2023
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  5. 25
    The LFC index calculations.

    The LFC index calculations. by Ke Liu (121889)

    Published 2023
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  6. 26
    VIF test.

    VIF test. by Ke Liu (121889)

    Published 2023
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  7. 27
    S1 Data -

    S1 Data - by Ke Liu (121889)

    Published 2023
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  8. 28
    Summary statistics.

    Summary statistics. by Ke Liu (121889)

    Published 2023
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  9. 29
    Threshold number test result.

    Threshold number test result. by Ke Liu (121889)

    Published 2023
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  10. 30
    Regression results.

    Regression results. by Ke Liu (121889)

    Published 2023
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  11. 31
    Robustness test: Increasing possible missing variables.

    Robustness test: Increasing possible missing variables. by Ting Li (117885)

    Published 2022
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  12. 32
    Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically significance values.

    Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

    Published 2025
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  13. 33
    Spatial models.

    Spatial models. by Qian Chen (18883)

    Published 2023
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  14. 34
    Hyperplasia of the suboccipital muscles significantly increased intracranial pressure.

    Hyperplasia of the suboccipital muscles significantly increased intracranial pressure. by Chan Li (433717)

    Published 2022
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  15. 35
    Large-scale results from GPN, HPN, GPN+2opt, and HPN+2opt demonstrate that the gap between our model and GPN increases as the problem size increases.

    Large-scale results from GPN, HPN, GPN+2opt, and HPN+2opt demonstrate that the gap between our model and GPN increases as the problem size increases. by Ahmed Stohy (11836376)

    Published 2021
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  16. 36
    The identified significant high-rate spatial-temporal clusters of new detected leprosy cases in Yunnan, China, 2011–2020.

    The identified significant high-rate spatial-temporal clusters of new detected leprosy cases in Yunnan, China, 2011–2020. by Xiaohua Chen (257762)

    Published 2021
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  17. 37
    Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values.

    Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

    Published 2025
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  18. 38
    Table 1_Subjective spatial orientation discomfort is associated with decreased real-world spatial performance and lower cognitive function.docx

    Table 1_Subjective spatial orientation discomfort is associated with decreased real-world spatial performance and lower cognitive function.docx by Johannes Gerb (10287758)

    Published 2024
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  19. 39
    Evidence gap map: Climate change impact on mothers.

    Evidence gap map: Climate change impact on mothers. by Salima Meherali (5195159)

    Published 2024
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  20. 40
    <i>Boro</i> rice yield (2002–2021) estimation utilizing MODIS data and a trained random forest model with 30 input variables having high importance.

    <i>Boro</i> rice yield (2002–2021) estimation utilizing MODIS data and a trained random forest model with 30 input variables having high importance. by Varun Tiwari (9258130)

    Published 2024
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