[1]钱琮晖,张永福,徐华君.采用地理探测器和GWR模型的喀什地区农村居民点时空演变及影响因素分析[J].华侨大学学报(自然科学版),2023,44(3):381-390.[doi:10.11830/ISSN.1000-5013.202212022]
　QIAN Conghui,ZHANG Yongfu,XU Huajun.Analysis of Spatial and Temporal Evolution of Rural Settlements in Kashgar Region and Influencing Factors Using Geodetector and GWR Model[J].Journal of Huaqiao University(Natural Science),2023,44(3):381-390.[doi:10.11830/ISSN.1000-5013.202212022]
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采用地理探测器和GWR模型的喀什地区农村居民点时空演变及影响因素分析()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第44卷
期数:
2023年第3期
页码:
381-390
栏目:
出版日期:
2023-05-12

文章信息/Info

Title:
Analysis of Spatial and Temporal Evolution of Rural Settlements in Kashgar Region and Influencing Factors Using Geodetector and GWR Model
文章编号:
1000-5013(2023)03-0381-10
作者:
钱琮晖1; 2;  张永福1; 2; 3;  徐华君1; 2; 3
1. 新疆大学 地理与遥感科学学院, 新疆 乌鲁木齐 830046;2. 新疆大学 绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830046;3. 新疆大学 智慧城市与环境建模自治区普通高校重点实验室, 新疆 乌鲁木齐 830046
Author(s):
QIAN Conghui1; 2;  ZHANG Yongfu1; 2; 3;  XU Huajun1; 2; 3
1. College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China; 2. Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi 830046, China; 3. Smart City and Environmental Modeling Autonomous Region Key Laboratory of Ordinary Universities, Xinjiang University, Urumqi 830046, China
关键词:
农村居民点;  地理探测器;  地理加权回归;  时空演变;  影响因素;  喀什地区
Keywords:
rural settlements;  geodetector;  geographically weighted regression;  spatial and temporal evolution;  influence factors;  Kashgar Region
分类号:
TU982.29;K901.8
DOI:
10.11830/ISSN.1000-5013.202212022
文献标志码:
A
摘要:
探究农村居民点的时空演变与影响因素,以喀什地区为例,采用网格分析、核密度估计等空间分析手段,研究喀什地区2009-2019年农村居民点时空分布特征及演变规律,选取坡度、地形起伏度、人口密度、耕地面积、距道路距离、距河流距离、距最近耕地距离、增减挂钩政策8个影响因子,进行地理探测和地理加权回归(geographically weighted regression,GWR)分析.结果表明:2009-2019年喀什地区农村居民点集聚特征显著,主要集中在叶尔羌河冲积平原和喀什噶尔河冲积平原,呈现集聚中部、西密东疏的分布特征,在2019年达到核密度峰值;2009-2019年喀什地区农村居民点的数量和面积逐年增加,但农村居民点平均面积由0.011 0 km2减少至0.010 7 km2,10 a间喀什地区农村居民点演变方式为自身扩展、新生/合并和消亡;坡度、地形起伏度、人口密度、耕地面积、距河流距离、距道路距离和距最近耕地距离是影响喀什地区农村居民点空间分布的主导因子,增减挂钩政策对喀什地区农村居民点空间分布影响不明显;各影响因子对农村居民点分布的影响存在显著空间差异,距道路距离和距河流距离起主导作用.
Abstract:
To explore the spatial and temporal evolution and influence factors of rural settlements, taking Kashgar Region as an example, the spatial and temporal distribution characteristics and the evolution rules of rural settlements in Kashgar Region from 2009 to 2019 were studied by using grid analysis,kernel density estimation and other spatial analysis methods. Eight influence factors including slope, topographic relief, population density, cultivated land area, distance from road, distance from river, distance from the nearest cultivated land, increase and decrease linkage policy were selected for geographical detection and geographically weighted regression(GWR)analysis. The results showed that from 2009 to 2019, the rural settlements in Kashgar Region had significant characteristics of agglomeration, mainly concentrated in the alluvial plain of the Yerqiang River and the Kashgar River, showing the distribution characteristics of concentrated in the middle, dense in the west and sparse in the east, reaching the peak of nuclear density in 2019. From 2009 to 2019, the number and area of rural settlements in Kashgar Region increased year by year, but the average area of rural settlements decreased from 0.011 0 km2 to 0.010 7 km2, the evolution mode of rural settlements in Kashgar Region was self expansion, newborn/consolidation and extinction in the past 10 years. Slope, topographic relief, population density, cultivated land area, distance from river, distance from road and distance from the nearest cultivated land were the leading factors affecting the spatial distribution of rural settlements in Kashgar Region, the increase and decrease linkage policy had no obvious impact on the spatial distribution of rural settlements in Kashgar Region. There were significant spatial differences in the impact of each impact factor on the distribution of rural settlements, with the distance from the road and the distance from the river playing a leading role.

参考文献/References:

[1] 杨忍,刘彦随,龙花楼,等.基于格网的农村居民点用地时空特征及空间指向性的地理要素识别: 以环渤海地区为例[J].地理研究,2015,34(6):1077-1087.DOI:10.11821/dlyj201506007.
[2] 孙道亮,洪步庭,任平.都江堰市农村居民点时空演变与驱动因素研究[J].长江流域资源与环境,2020,29(10):2167-2176.DOI:10.11870/cjlyzyyhj202010006.
[3] 冯应斌,杨庆媛.1980-2012年村域居民点演变特征及其驱动力分析[J].农业工程学报,2016,32(5):280-288,315.DOI:10.11975/j.issn.1002-6819.2016.05.041.
[4] 师满江,颉耀文,曹琦.干旱区绿洲农村居民点景观格局演变及机制分析[J].地理研究,2016,35(4):692-702.DOI:10.11821/dlyj201604008.
[5] 刘彦随.中国新时代城乡融合与乡村振兴[J].地理学报,2018,73(4):637-650.DOI:10.11821/dlxb201804004.
[6] LIU Yansui,LI Yuheng.Revitalize the world’s countryside[J].Nature,2017,548(7667):275-277.DOI:10.1038/548275a.
[7] 何建华,贾宁,李亚静,等.青藏高原东北部河湟谷地农村居民点布局优化[J].农业工程学报,2021,37(14):258-265.DOI:10.11975/j.issn.1002-6819.2021.14.030.
[8] 宋伟,程叶青,林丹,等.快速城镇化背景下乡村居民点时空演变及其驱动因素: 以海口市为例[J].经济地理,2020,40(10):183-190.DOI:10.15957/j.cnki.jjdl.2020.10.022.
[9] 张佰林,蔡为民,张凤荣,等.隋朝至1949年山东省沂水县农村居民点的时空格局及驱动力[J].地理研究,2016,35(6):1141-1150.DOI:10.11821/dlyj201606011.
[10] 周海涛,宁小莉,张雪峰,等.基于maxEnt模型的包头市达茂旗居民点空间分布适宜性评价[J].水土保持研究,2021,28(2):335-342.
[11] 李保杰,陈莉,顾和和.苏北县域农村居民点空间分布格局与可达性研究: 以徐州市丰县为例[J].土壤通报,2021,52(2):306-313.DOI:10.19336/j.cnki.trtb.2020032801.
[12] 廖艳梅,兰安军,尹林江,等.喀斯特山区农村居民点空间分布特征及其影响因素[J].水土保持研究,2021,28(6):233-241.
[13] 杨斌,王占岐,张红伟,等.高山贫困地区农村居民点空间格局演变特征及驱动机制[J].农业工程学报,2021,37(4):285-293.DOI:10.11975/j.issn.1002-6819.2021.04.034.
[14] 唐芳,李阳兵,王权,等.岩溶槽谷区农村居民点的时空分布特征及其驱动机制[J].自然资源学报,2021,36(4):978-992.DOI:10.31497/zrzyxb.20210413.
[15] 杨晴青,陈佳,李伯华,等.长江中游城市群城市人居环境演变及驱动力研究[J].地理科学,2018,38(2):195-205.DOI:10.13249/j.cnki.sgs.2018.02.005.
[16] 李媛媛,李锋,陈春.青藏高原地区农村居民点空间演化特征及驱动力研究[J].农业现代化研究,2021,42(6):1114-1125.DOI:10.13872/j.1000-0275.2021.0111.
[17] 周海涛,宁小莉,那晓东,等.包头市达茂旗居民点空间分布变化及其影响因素分析[J].农业工程学报,2019,35(11):276-286.DOI:10.11975/j.issn.1002-6819.2019.11.032.
[18] 周扬,黄晗,刘彦随.中国村庄空间分布规律及其影响因素[J].地理学报,2020,75(10):2206-2223.DOI:10.11821/dlxb202010012.
[19] 王介勇,刘彦随,陈秧分.农村空心化程度影响因素的实证研究: 基于山东省村庄调查数据[J].自然资源学报,2013,28(1):10-18.DOI:10.11849/zrzyxb.2013.01.002.
[20] 杨春梅,徐小峰,张豪,等.基于三生空间功能的上海市农村居民点特征演变及优化研究[J].长江流域资源与环境,2021,30(10):2392-2404.
[21] 冯琳,雷国平.东北典型黑土区农村居民点对水土流失影响研究[J].生态与农村环境学报,2021,37(8):1011-1021.DOI:10.19741/j.issn.1673-4831.2020.0898.
[22] 李阳兵,李睿康,罗光杰,等.贵州典型峰丛洼地区域近50年村落演变规律及驱动机制[J].生态学报,2018,38(7):2523-2535.DOI:10.5846/stxb201704290789.
[23] 郑辛煜.农村居民点遥感信息提取与时空演变规律研究[D].杭州:浙江大学,2017.
[24] 鄂施璇,雷国平,宋戈.松嫩平原粮食主产区农村居民点格局及影响因素分析[J].农业工程学报,2016,32(18):234-240.DOI:10.11975/j.issn.1002-6819.2016.18.032.
[25] 王耕,李素娟,马奇飞.中国生态文明建设效率空间均衡性及格局演变特征[J].地理学报,2018,73(11):2198-2209.DOI:10.11821/dlxb201811011.
[26] 王劲峰,徐成东.地理探测器: 原理与展望[J].地理学报,2017,72(1):116-134.DOI:10.11821/dlxb201701010.
[27] 杨忍,罗秀丽,陈燕纯.中国县域乡村地域多功能格局及影响因素识别[J].地理科学进展,2019,38(9):1316-1328.DOI:10.18306/dlkxjz.2019.09.005.
[28] BRUNSDON C,FOTHERINGHAM S,CHARLTON M.Geographically weighted regression[J].Journal of the Royal Statistical Society: Series D(The Statistician),1998,47(3):431-443.DOI:10.1111/1467-9884.00145.
[29] 韩静,芮旸,杨坤,等.基于地理探测器和GWR模型的中国重点镇布局定量归因[J].地理科学进展,2020,39(10):1687-1697.DOI:10.18306/dlkxjz.2020.10.008.
[30] 李阳兵,李睿康,罗光杰,等.贵州典型峰丛洼地区域近50年村落演变规律及驱动机制[J].生态学报,2018,38(7):2523-2535.DOI:10.5846/stxb201704290789.
[31] 焦贝贝,石培基,刘春芳,等.黄土高原低山丘陵区农村居民点分布与地形因子关系研究: 以兰州市七里河区为例[J].资源科学,2013,35(8):1719-1727.
[32] 李学东,杨玥,杨波,等.基于耕作半径分析的山区农村居民点布局优化[J].农业工程学报,2018,34(12):267-273.DOI:10.11975/j.issn.1002-6819.2018.12.033.

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备注/Memo

备注/Memo:
收稿日期: 2022-12-29
通信作者: 张永福(1965-),男,副教授,博士,主要从事土地资源评价与土地利用规划、国土空间规划的研究.E-mail:18203414670@163.com.
基金项目: 国家自然科学基金资助项目(41961024)http://www.hdxb.hqu.edu.cn
更新日期/Last Update: 2023-05-20