Journal of Marine Sciences >

2017 , Vol. 35 >Issue 1: 73 - 79

DOI: https://doi.org/10.3969/j.issn.1001-909X.2017.01.009

Application of GIS and Lorenz Curve to study the spatial distribution characteristics of islands in Liaoning Province

  • ZHAO Dong-yang ,
  • LEI Li-yuan ,
  • YOU Guang-ran ,
  • LIU Ming ,
  • XI Xiao-hui ,
  • BI Yuan-pu
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  • Liaoning Ocean and Fisheries Science Research Institute,Dalian 116023, China

Received date: 2016-03-28

  Revised date: 2016-10-11

  Online published: 2022-11-17

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Abstract

In order to reasonably develop, utilize and protect islands' resources in Liaoning Province and optimize the industry structures and arrangements on islands, the spatial distribution characteristics of islands in Liaoning Province were investigated by application of GIS spatial analysis, Lorenz Curve and Gini Coefficient calculation based on the statistical data of 633 islands'coordinates and land areas, which have been listed in the Standard Directory of Islands in China Sea .The results show that the distribution type of islands in Liaoning Province belongs to aggregated distribution and presents group and zonal distribution in space. The islands of Liaoning Province have shaped Changshan Island aggregation district in the northern of the Yellow Sea and shallow sea aggregation zones in the southern of Liaoning Peninsula and in the western of Liaodong Gulf in terms of the levels of aggregation. Approximately 60% islands locate within the range of 10 km off the mainland coastline in straight line, leading to near the land at high degree. The land areas are imbalance among islands with the Gini Coefficient of 0.9.

Key words： islands in Liaoning; spatial distribution; Kernel Density Estimation; average nearest neighbor; Gini Coefficient

Cite this article

ZHAO Dong-yang , LEI Li-yuan , YOU Guang-ran , LIU Ming , XI Xiao-hui , BI Yuan-pu . Application of GIS and Lorenz Curve to study the spatial distribution characteristics of islands in Liaoning Province[J]. Journal of Marine Sciences, 2017 , 35(1) : 73 -79 . DOI: 10.3969/j.issn.1001-909X.2017.01.009

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