Evaluating the effectiveness of three spatial cluster analysis methods on Palaeolithic site location distributions in Galicia, NW Iberian Peninsula

2022 ◽  
Vol 41 ◽  
pp. 103323
Author(s):  
Mikel Díaz-Rodríguez ◽  
Ramón Fábregas-Valcarce
2018 ◽  
Vol 5 (86) ◽  
pp. 25-35
Author(s):  
G.G. Rapakov ◽  
E.A. Lebedeva ◽  
V.A. Gorbunov ◽  
K.A. Abdalov ◽  
O.V. Mel'nichuk

Neurology ◽  
2015 ◽  
Vol 84 (15) ◽  
pp. 1537-1544 ◽  
Author(s):  
J. Rooney ◽  
A. Vajda ◽  
M. Heverin ◽  
M. Elamin ◽  
A. Crampsie ◽  
...  

2012 ◽  
Vol 39 (2) ◽  
pp. 1753-1762 ◽  
Author(s):  
Ickjai Lee ◽  
Yang Qu ◽  
Kyungmi Lee

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xiyu Liu ◽  
Jie Xue

Spatial cluster analysis is an important data mining task. Typical techniques include CLARANS, density- and gravity-based clustering, and other algorithms based on traditional von Neumann's computing architecture. The purpose of this paper is to propose a technique for spatial cluster analysis based on sticker systems of DNA computing. We will adopt the Bin-Packing Problem idea and then design algorithms of sticker programming. The proposed technique has a better time complexity. In the case when only the intracluster dissimilarity is taken into account, this time complexity is polynomial in the amount of data points, which reduces the NP-completeness nature of spatial cluster analysis. The new technique provides an alternative method for traditional cluster analysis.


2013 ◽  
Vol 19 (1) ◽  
pp. 011021 ◽  
Author(s):  
Michael Sams ◽  
Rene Silye ◽  
Janett Göhring ◽  
Leila Muresan ◽  
Kurt Schilcher ◽  
...  

2021 ◽  
Vol 13 (24) ◽  
pp. 13570
Author(s):  
Yuan Shen ◽  
Danyin Wang ◽  
Jiahui Wu ◽  
Tianshu Yu ◽  
Tao Li ◽  
...  

Eco-environmental variability was the basis of ethnic diversity with a persistent influence on the regional development. The unique geographic conditions and multi-ethnic characteristics in southwest China were valuable for exploring sustainable development of ethnic regions. In this study, the regional features of distribution areas of ethnic groups in southwest China were analysed, and it was found that average altitude, slope, water coverage and water form ratio of each ethnic group differed apparently. Additionally, regional features of southern minorities were relatively stable, while those of northern minorities changed evidently from 1990 to 2010. Furthermore, taking the spatial coordinates and regional features as parameters, fifty-eight ethnic groups were clustered into six categories via spatial cluster analysis. Moreover, based on the county-level population data, the ethnic similarities in southwest China were identified by correlation analysis, and the results were in accordance with those of spatial cluster analysis but more detailed. In addition, the eco-environmental adaptability of various ethnic groups was discussed in terms of living and production as well as regional sustainable development. This research was of referential meaning for population settlement, natural resources utilization and biodiversity conservation in multi-ethnic regions.


Terra ◽  
2020 ◽  
Vol 132 (2) ◽  
pp. 69-84
Author(s):  
Olli Lehtonen ◽  
Ossi Kotavaara ◽  
Toivo Muilu ◽  
Janne Huovari ◽  
Hilkka Vihinen

Multi-local living and spatial interaction are expected to change the picture of regional development, as they emphasize the seasonal and interrelated use of areas. The article focusses on questions: What kind of spatial formation is the regional structure in Finland divided, and how common are these spatial formations in the regional structure? The results from the spatial cluster analysis show that the development of the regional structure is more diverse than previously known. Geographically, the dominating areas are seasonally growing areas which had remarkable increase in the seasonal use of areas. The results also showed that growth was more common in the regional structure than previously known, and the growth network extended from southern Finland to Lapland. The spatial formation of the stagnating areas was previously known to be narrower and more fragmented, as only a quarter of the surface area was classified as stagnating areas. The identifying of the diversity of the regional structure is essential for producing an exact picture of regional development for the needs of regional development and policy.


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