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Join count test between nominal variables and fishery to test for spatial auto-correlation.

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Figshare2018-07-11 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Join_count_test_between_nominal_variables_and_fishery_to_test_for_spatial_auto-correlation_/6805931
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Join counts lower than the expected values indicate clustering while join counts higher than expected values indicate dispersion. Join counts that were close to expected values were considered to be random.
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2018-07-11
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