Abstract:[Background] The spatial distribution pattern of settlements has a significant influence on intensification utilization of land resource and regional economic development. In order to study the distribution characteristics and pattern in tropical area, a case study in Lingshui County of Hainan Province has been addressed.[Methods] The local digital basic map was collected from data center of Chinese academy of sciences. The resident GPS point map was picked out to generate Voronoi diagram and landscape pattern index of Lingshui County. The Voronoi value is an index to classify the distribution situation of point set. Combining Voronoi diagram coefficient variation with landscape pattern index, the aggregation characteristics and distribution pattern of settlements in Lingshui were analyzed. The DEM map and topographic map were used to generate terrain index and buffer map of Lingshui County. Applying GIS spatial analysis, 9 kinds of suitability index:elevation, slope, water source buffer, road buffer, town buffer, downtown district, scale and aggregation of settlements were chosen to study the human settlement suitability in Lingshui County of Hainan Province. Each index was divided into 4 levels (Level I, Ⅱ, Ⅲ and IV) according to its correlation with settlement distribution.[Results]1)The Cv coefficient of variation value of settlements in Lingshui County was 253.99%, in both town and country level, the spatial pattern of settlements presents cluster. 2) The terrain and road were of significant influences to settlement distribution in Lingshui, more than 90% settlements were located in the southeast of the county, whose elevation was lower than 100 m, and slope was smaller than 6°. About 60% settlements were located within the distance of 500 m from main highway. The attractions of town were gradually increasing within 2 000 m while began to weak out of 2 000 m. Thus, it can be considered as a reference radius for settlement optimization. 3) According to the comprehensive suitability value of human settlements, the settlements in Lingshui was divided into 4 types:urban transformation type, the first level settlement, suitability value was greater than 7.99, area was 638.97 hm2; internal development type, the second level settlement, suitability value was between 4.70-7.99, area was 1 942.95 hm2; development control type, the third level settlement, suitability value was between 2.29-4.70, area was 1 429.85 hm2; and the removal type, suitability value was between 0-2.29, and area was 810.65 hm2.[Conclusions] Method was illustrated according to the suitability level of settlements, and this paper provides efficient information and reasonable practice for settlement arrangements in Lingshui County.
茄欢, 李亚光. 基于GIS的热带县域居民点分布特征及空间格局优化——以海南省陵水黎族自治县为例[J]. 中国水土保持科学, 2017, 15(5): 78-85.
QIE Huan, LI Yaguang. GIS-based spatial distribution characteristics of settlements and its optimization in the tropical Lingshui County of Hainan Province. SSWC, 2017, 15(5): 78-85.
陈振杰,李满春,刘永学. 基于GIS的桐庐县农村居民点空间格局研究[J]. 长江流域资源与环境,2008,17(2):180. CHEN Zhenjie, LI Manchun, LIU Yongxue. Rural settlements in Tonglu County[J]. Resources and Environment in the Yangtze Basin, 2008, 17(2):180.
[2]
闫庆武,卞正富. 基于GIS-SDA的居民点空间分布研究[J]. 地理与地理信息科学,2008,24(3):57. YAN Qingwu, BIAN Zhengfu. Study on distribution patterns of settlements based on GIS-SDA[J]. Geography and Geo-Information Science, 2008, 24(3):57.
[3]
海贝贝,李小建,许家伟. 巩义市农村居民点空间格局演变及其影响因素[J]. 地理研究,2013,32(12):2257. HAI Beibei, LI Xiaojian, XU Jiawei. Spatio-temporal evolution of rural settlements in Gongyi[J]. Geographical Research,2013,32(12):2257.
[4]
李云强,齐伟,王丹,等. GIS支持下山区县域农村居民点分布特征研究:以栖霞市为例[J]. 地理与地理信息科学,2011,27(3):73. LI Yunqiang, QI Wei, WANG Dan, et al. Research on spatial distribution characteristics of rural settlements in mountainous areas at county level based on GIS:a case study in Qixia City[J]. Geography and Geo-Information Science, 2011, 27(3):73.
[5]
姜广辉,张凤荣,秦静,等. 北京山区农村居民点分布变化及其与环境的关系[J]. 农业工程学报,2006,22(11):85. JIANG Guanghui, ZHANG Fengrong, QIN Jing, et al. Relationship between distribution changes of rural residential land and environment in mountainous areas of Beijing[J].Transactions of the Chinese Society of Agricultural Engineering, 2006, 22(11):85.
[6]
朱晓华,陈秧分,刘彦随,等. 空心村土地整治潜力调查与评价技术方法:以山东省禹城市为例[J]. 地理学报,2010,65(6):736. ZHU Xiaohua, CHEN Yangfen, LIU Yansui, et al. Technique andmethod of rural land consolidation potential investigation and assessment[J]. Acta Geographica Sinica, 2010, 65(6):736.
[7]
杨立,郝晋珉,王绍磊,等. 基于空间相互作用的农村居民点用地空间结构优化[J]. 农业工程学报,2011,27(10):308. YANG Li, HAO Jinmin, WANG Shaolei, et al. Spatial structure optimization of rural residential land based on spatial interaction[J]. Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(10):308.
[8]
朱雪欣,王红梅,袁秀杰,等. 基于GIS的农村居民点区位评价与空间格局优化[J]. 农业工程学报,2010,65(6):326. ZHU Xuexin, WANG Hongmei, YUAN Xiujie, HOU Xinxin. Evaluation and optimization of spatial distribution of rural settlements based on GIS[J]. Transactions of the Chinese Society of Agricultural Engineering,2010, 65(6):326.
[9]
李四高,李亚光,李宪,等. 典型土石山区驿马图居民点空间分布格局及人居适宜性特征研究[J]. 南京农业大学学报,2014,37(2):160. LI Sigao, LI Yaguang, LI Xian, et al. Research on the Spatial distribution pattern of rural residential areas and characteristic of the human settlement suitability in Yimatu of the typical earth-rocky mountainous area[J]. Journal of Nanjing Agricultural University, 2014, 37(2):160.
[10]
张霞,魏朝富,倪九派,等. 重庆市低山丘陵区农村居民点分布格局及其影响因素[J]. 中国农业资源与区划,2012,33(3):45. ZHANG Xia, WEI Chaofu, NI Jiupai, et al. Distributionpatterns and influence factors of rural settlements in the hilly and mountainous areas in Chongqing Municipality[J]. Chinese Journal of Agriculture Resources and Regional Planning, 2012,33(3):45.
[11]
DUYCKAERTS C, GODEFROY G. Voronoi tessellation to study the numerical density and the spatial distribution of neurons[J]. Journal of Chemical Neuroanatomy, 2000, 20(2):83.
[12]
宋文,吴克宁,刘浩然,等. 基于地理空间适宜性指数自相关的农村居民点整理分区[J]. 农业工程学报, 2016,32(19):249. SONG Wen, WU Kening, LIU Haoran, et al. Zoning of rural residential land consolidation based on spatial autocorrelation of geographical spatial suitability index[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(19):249.
[13]
谢保鹏,朱道林,蒋毓琪,等. 基于多因素综合评价的居民点整理时序确定[J]. 农业工程学报,2014,30(14):289. XIE Baopeng, ZHU Daolin, JIANG Yuqi, et al. Consolidation schedule determination of rural residential areas in Yumen based on multi-factor comprehensive evaluation[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(14):289.