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Article overview
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Exploring the law of text geographic information | | Zhenhua Wang
; Daiyu Zhang
; Ming Ren
; Guang Xu
; | | Date: |
1 Sep 2023 | | Abstract: | Textual geographic information is indispensable and heavily relied upon in
practical applications. The absence of clear distribution poses challenges in
effectively harnessing geographic information, thereby driving our quest for
exploration. We contend that geographic information is influenced by human
behavior, cognition, expression, and thought processes, and given our intuitive
understanding of natural systems, we hypothesize its conformity to the Gamma
distribution. Through rigorous experiments on a diverse range of 24 datasets
encompassing different languages and types, we have substantiated this
hypothesis, unearthing the underlying regularities governing the dimensions of
quantity, length, and distance in geographic information. Furthermore,
theoretical analyses and comparisons with Gaussian distributions and Zipf’s law
have refuted the contingency of these laws. Significantly, we have estimated
the upper bounds of human utilization of geographic information, pointing
towards the existence of uncharted territories. Also, we provide guidance in
geographic information extraction. Hope we peer its true countenance uncovering
the veil of geographic information. | | Source: | arXiv, 2309.00180 | | Services: | Forum | Review | PDF | Favorites | |
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