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  "Description": "Understanding spatial association is essential for spatial\nstatistical inference, including factor exploration and spatial\nprediction. Geographically optimal similarity (GOS) model is an\neffective method for spatial prediction, as described in Yongze\nSong (2022) <doi:10.1007/s11004-022-10036-8>. GOS was developed\nbased on the geographical similarity principle, as described in\nAxing Zhu (2018) <doi:10.1080/19475683.2018.1534890>. GOS has\nadvantages in more accurate spatial prediction using fewer\nsamples and critically reduced prediction uncertainty.",
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