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- W3044934480 abstract "Abstract A debate has occurred concerning the laws of scale and the fractal nature of geographical space. Biodiversity and pedodiversity studies show the emergence of fractal structures such as taxa‐area relationships. Biodiversity and pedodiversity are natural resources, although some consider pedotaxa to be artificial. The studies carried out to date emphasize that many pedodiversity and biodiversity spatial patterns converge at the same regularities. Many of these studies used natural resources maps and their digital databases. Information is extracted from the taxa types contained in each polygon and the areas covered. However, the structure of the maps (number, area, fragmentation, etc.) has rarely been a matter of study. When map structure was studied, intriguing similarities were observed in pedodiversity and biodiversity analyses. To understand whether these similarities also appear in other types of spatial entities that are more artificial, a review of geospatial analyses that studied topics such as urban maps, land system maps, etc., was undertaken. The main variables in these maps are manmade and/or combinations of natural resources data layers. Regularities detected in the geospatial information of these latter topics also seem to conform to results obtained when analysing natural resources maps such as soils, rock types, landforms, plant communities, etc. Thus, some geographers consider the idea that there are far more small things/objects than larger ones across several orders of magnitude in geographic space to be a law. Some geographers also contend that the classical “Gaussian thinking” and its statistical tools should be replaced by a “Paretian thinking” and its related statistical tools. This paper analyses the above topics as well as the lack of adequate data and types of cognitive maps we use in our modern scientific society, supporting the conjecture that that we should include Paretian thinking in our research at least in the same way we use Gaussian thinking. Highlights Long tail distributions, power laws and fractal‐like structures are ubiquitous in geospatial analysis. Scale invariance of natural and artificial map structures seem to be the rule. The Paretian approach appears to be more appropriate than the Gaussian approach for many purposes. Our cognitive maps and brain processing follow Paretian thinking in many instances." @default.
- W3044934480 created "2020-07-29" @default.
- W3044934480 creator A5017845745 @default.
- W3044934480 creator A5023124393 @default.
- W3044934480 creator A5033769690 @default.
- W3044934480 creator A5044064849 @default.
- W3044934480 date "2020-08-24" @default.
- W3044934480 modified "2023-10-18" @default.
- W3044934480 title "Exploring the scaling law of geographical space: Gaussian versus Paretian thinking" @default.
- W3044934480 cites W1491717342 @default.
- W3044934480 cites W1507156144 @default.
- W3044934480 cites W1568604437 @default.
- W3044934480 cites W1964198077 @default.
- W3044934480 cites W1971489609 @default.
- W3044934480 cites W1972689659 @default.
- W3044934480 cites W1974395471 @default.
- W3044934480 cites W1974492063 @default.
- W3044934480 cites W1974584682 @default.
- W3044934480 cites W1979136302 @default.
- W3044934480 cites W1982436072 @default.
- W3044934480 cites W1984819051 @default.
- W3044934480 cites W1987368534 @default.
- W3044934480 cites W1987686121 @default.
- W3044934480 cites W1993284672 @default.
- W3044934480 cites W1995301215 @default.
- W3044934480 cites W2003485756 @default.
- W3044934480 cites W2006451886 @default.
- W3044934480 cites W2015254038 @default.
- W3044934480 cites W2018742491 @default.
- W3044934480 cites W2021107886 @default.
- W3044934480 cites W2027774687 @default.
- W3044934480 cites W2035826962 @default.
- W3044934480 cites W2037499385 @default.
- W3044934480 cites W2040957916 @default.
- W3044934480 cites W2042076346 @default.
- W3044934480 cites W2047646383 @default.
- W3044934480 cites W2049846818 @default.
- W3044934480 cites W2053138397 @default.
- W3044934480 cites W2053476093 @default.
- W3044934480 cites W2055865538 @default.
- W3044934480 cites W2056319481 @default.
- W3044934480 cites W2063658890 @default.
- W3044934480 cites W2064326033 @default.
- W3044934480 cites W2066418238 @default.
- W3044934480 cites W2066825251 @default.
- W3044934480 cites W2067487080 @default.
- W3044934480 cites W2068463724 @default.
- W3044934480 cites W2073173308 @default.
- W3044934480 cites W2076819299 @default.
- W3044934480 cites W2078640263 @default.
- W3044934480 cites W2081599433 @default.
- W3044934480 cites W2082816109 @default.
- W3044934480 cites W2088655444 @default.
- W3044934480 cites W2093305676 @default.
- W3044934480 cites W2093989427 @default.
- W3044934480 cites W2101234741 @default.
- W3044934480 cites W2101791125 @default.
- W3044934480 cites W2111669400 @default.
- W3044934480 cites W2112525635 @default.
- W3044934480 cites W2116690163 @default.
- W3044934480 cites W2118722179 @default.
- W3044934480 cites W2124012211 @default.
- W3044934480 cites W2128431311 @default.
- W3044934480 cites W2141325803 @default.
- W3044934480 cites W2146071702 @default.
- W3044934480 cites W2163199882 @default.
- W3044934480 cites W2171797832 @default.
- W3044934480 cites W2177258313 @default.
- W3044934480 cites W2236105153 @default.
- W3044934480 cites W2261150581 @default.
- W3044934480 cites W2264709743 @default.
- W3044934480 cites W2280062854 @default.
- W3044934480 cites W2469965478 @default.
- W3044934480 cites W2473517168 @default.
- W3044934480 cites W2477967335 @default.
- W3044934480 cites W2478227765 @default.
- W3044934480 cites W2486667679 @default.
- W3044934480 cites W2496339928 @default.
- W3044934480 cites W2498963280 @default.
- W3044934480 cites W2528715370 @default.
- W3044934480 cites W2529519255 @default.
- W3044934480 cites W2602510748 @default.
- W3044934480 cites W2620643032 @default.
- W3044934480 cites W2648484541 @default.
- W3044934480 cites W2767880575 @default.
- W3044934480 cites W2797946500 @default.
- W3044934480 cites W2800910991 @default.
- W3044934480 cites W2808201871 @default.
- W3044934480 cites W2920439342 @default.
- W3044934480 cites W2950627632 @default.
- W3044934480 cites W2955223345 @default.
- W3044934480 cites W2979688413 @default.
- W3044934480 cites W2992816895 @default.
- W3044934480 cites W3016465949 @default.
- W3044934480 cites W3101518590 @default.
- W3044934480 cites W3102262420 @default.
- W3044934480 cites W3102476447 @default.
- W3044934480 cites W3102597582 @default.