Please wait a minute...
浙江大学学报(理学版)  2017, Vol. 44 Issue (2): 228-234    DOI: 10.3785/j.issn.1008-9497.2017.02.018
城市科学     
地形对大别山区农村住房空间分布格局的影响
姚梦园1,2, 晏实江1,2, 吴艳兰1,2
1. 安徽大学 资源与环境工程学院, 安徽 合肥 230601;
2. 安徽省地理信息工程中心, 安徽 合肥 230601
Effects of topography on the spatial distribution pattern of rural housing in Dabie Mountains
YAO Mengyuan1,2, YAN Shijiang1,2, WU Yanlan1,2
1. School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China;
2. Engineering Center of Geographic Information in Anhui Province, Hefei 230601, China
 全文: PDF(1771 KB)   HTML  
摘要: 山区环境因素的限制使得农村住房呈现地域性的空间格局,确定农村住房空间分布格局及重要影响因素的关联性成为山区居民地规划管理的核心要素.以金寨县为例,结合高分辨率遥感影像目视解译、点格局分析以及相关分析等方法,通过引入地形要素(海拔、坡度、起伏度)因子,探索大别山区农村住房空间分布格局特征及地形要素的影响.系列实验结果表明:金寨县农村住房点间距离在0~140 m时,住房呈现聚集分布的态势,表明大别山区农村住房之间因公共资源匮乏,受环境条件影响表现出较高的相互依赖性;而农村住房点间距离在140~400 m时,住房呈现聚集、均匀、随机的多样性分布态势,表明大别山区农村住房缺乏宏观规划与分配;这种随机性趋势在400~10 000 m的大尺度上表现得更为明显.相关分析表明,大别山区农村住房空间分布格局受制于局部地形条件,在海拔低、坡度小、起伏度低的地区,住房的聚集性较强,体现为相关分析的回归系数均达0.7左右;通过比较发现,地形要素对大别山区农村住房空间分布格局的影响强度由大到小为坡度> 起伏度> 海拔,坡度的决定系数达到0.6左右,对格局的影响强度是起伏度的1.1倍、海拔的1.13倍.本研究可为大别山区城镇规划提供科学依据.
关键词: 农村住房空间分布格局地形点格局分析相关分析大别山区    
Abstract: Patterns of rural housing provide a reference for regional planning, and are conducive to the coordinated development of ecological protection and economy. Due to the restrictions of natural, cultural and other factors, mountainous rural housings exhibit the regularity of the spatial pattern of surface morphology. Taking Jinzhai County as an example, this paper employed high resolution remote sensing images and the parcels produced by manual interpretation from texture differences to their surrounding environments. The housing parcels and their geometrical center points were used as input data of the pattern analysis method proposed in the paper. The method derived from heterogeneous Poisson Process (HP) used in ecological landscape was adopted to analysis the spatial pattern of rural housings. The proposed method preserves the advantage that it is a probability density function with the interpretation of a neighborhood density, which is more intuitive than an accumulative measure. What's more, the paper attempts to identify the factors that are correlated with the rural housing patterns. The paper used GIS spatial analysis tools to extract the terrain factors that can affect rural housing distribution such as elevation, slope, relief amplitude factor, etc. Analyse of the quantitative data reveal the relationships between terrain and rural housing patterns. Results of the study show the following aspects:Rural housing of Jinzhai County indicates aggregation distribution at scales from 0 to 140 m, and shows relative higher interdependence due to the lack of public resources, environmental conditions; And, rural housing shows aggregation, regularity, random distribution alternating trend at scales from 140 to 400 m, indicating that mountain rural housings lack macro planning and allocation; The trend of this randomness is more obvious at large scales from 400 to 10 000 m; Dabie Mountains rural housings are subject to regular distribution of the local topography, and terrain factors have a greater impact on rural housing patterns. Elevation, slope, and relief amplitude are lower, the stronger the aggregation of rural housing will be. The corresponding correlation analysis regression coefficients were about 0.7; By comparison, it is found that the slope is the most important impacting terrain factors to spatial pattern of housing, the coefficient of determination is about 0.6, and the impact strength is 1.1 times of the relief amplitude and 1.13 times of elevation. From the above analysis, the natural geographical environment is pretty complex in Jinzhai County, and the aggregation of its housings is weak. Therefore, it is needed to dismantle the housings with poor natural environment, and accelerate the economic development in the regions where the natural environment is relatively better. It is also needed to give the priority to the construction of towns with better environment to attract farmers, so that the residents' living standard will be improved. In this paper, the housings' pattern analysis and correlation analysis method of rural housing with high resolution remote sensing images can provide a scientific basis for the town planning in Dabie Mountain.
Key words: rural housing    spatial distribution pattern    topography    point pattern analysis    correlation analysis    Dabie Mountain
收稿日期: 2016-07-20 出版日期: 2017-07-08
CLC:  TU982  
基金资助: 国家自然科学基金资助项目(41301422);安徽省自然科学基金资助项目(1308085MD52);安徽大学博士科研启动金项目(33190223,J10118520143);安徽大学2014级研究生学术创新研究强化项目(yqh100242).
通讯作者: 吴艳兰     E-mail: wylmq@sina.com
作者简介: 姚梦园(1992-),ORCID:http://orcid.org/0000-0002-5556-1777,男,硕士研究生,主要从事GIS空间分析与景观生态学研究,E-mail:ymy0396@126.com.
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
姚梦园
晏实江
吴艳兰

引用本文:

姚梦园, 晏实江, 吴艳兰. 地形对大别山区农村住房空间分布格局的影响[J]. 浙江大学学报(理学版), 2017, 44(2): 228-234.

YAO Mengyuan, YAN Shijiang, WU Yanlan. Effects of topography on the spatial distribution pattern of rural housing in Dabie Mountains. Journal of ZheJIang University(Science Edition), 2017, 44(2): 228-234.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2017.02.018        https://www.zjujournals.com/sci/CN/Y2017/V44/I2/228

[1] 何仁伟,陈国阶,刘邵权,等.中国乡村聚落地理研究进展及趋向[J].地理科学进展,2012,31(8):1055-1062. HE R W, CHEN G J, LIU S Q, et al. Research progress and tendency of Chinese rural settlements geography[J]. Progress in Geography,2012,31(8):1055-1062.
[2] BENNETT J W. Human ecology as human behavior[M]//Environment and Culture. New York:Springer,1980:243-277.
[3] 刘明皓,戴志中,邱道持,等.山区农村居民点分布的影响因素分析与布局优化——以彭水县保家镇为例[J].经济地理,2011,31(3):476-482. LIU M H, DAI Z Z, QIU D C, et al. Influencing factors analysis and rational distribution on rural settlements in mountains region[J]. Economic Geography,2011,31(3):476-482.
[4] 任平,洪步庭,刘寅,等.基于RS与GIS的农村居民点空间变化特征与景观格局影响研究[J].生态学报,2014,34(12):3331-3340. REN P, HONG B T, LIU Y, et al. A study of spatial evolution characteristics of rural settlements and influences of landscape patterns on their distribution using GIS and RS[J]. Acta Ecologica Sinica,2014,34(12):3331-3340.
[5] 石诗源,鲍志良,张小林.村域农村居民点景观格局及其影响因素分析——以宜兴市8个村为例[J].中国农学通报,2010,26(8):290-293. SHI S Y, BAO Z L, ZHANG X L. The village of rural settlements landscape pattern and influence factors:Take 8 villages in Yixing City for example[J]. Chinese Agricultural Science Bulletin,2010,26(8):290-293.
[6] 刘焱序,王仰麟,彭建,等.城郊聚落景观的集聚特征分析方法选择研究[J].地理科学,2015,35(6):674-682. LIU Y X, WANG Y L, PENG J, et al. Selection of different clustering algorithms for settlement landscape aggregation in suburb[J]. Scientia Geographica Sinica,2015,35(6):674-682.
[7] 余兆武,肖黎姗,郭青海,等.城镇化过程中福建省山区县农村聚落景观格局变化特征[J].生态学报,2016,36(10):3021-3031. YU Z W, XIAO L S, GUO Q H, et al. Mountain county rural settlement landscape pattern change and spatial characteristics in rapid mountain urbanization process in Fujian Province[J]. Acta Ecologica Sinica,2016,36(10):3021-3031.
[8] 宋晓英,李仁杰,傅学庆,等.基于GIS的蔚县乡村聚落空间格局演化与驱动机制分析[J].人文地理,2015,30(3):79-84. SONG X Y, LI R J, FU X Q, et al. The spatial pattern evolution and driving mechanism analysis of yuxian rural settlements based on GIS[J]. Human Geography,2015,30(3):79-84.
[9] 刘晓清,毕如田,高艳.基于GIS的半山丘陵区农村居民点空间布局及优化分析——以山西省襄垣县为例[J].经济地理,2011,31(5):822-826. LIU X Q, BI R T, GAO Y. The analysis of spatial distribution and optimization on rural settlement in upland half a mountainous using GIS technology[J]. Economic Geography,2011,31(5):822-826.
[10] 陈勇,陈国阶,王益谦.山区人口与环境互动关系的初步研究[J].地理科学,2002,22(3):282-287. CHEN Y, CHEN G J, WANG Y Q. A preliminary study on the interactive relationship between population and environment in mountains[J]. Acta Geographica Sinica,2002,22(3):282-287.
[11] 摆万奇,阎建忠,张镱锂.大渡河上游地区土地利用/土地覆被变化与驱动力分析[J].地理科学进展,2004,23(1):71-78. BAI W Q, YAN J Z, ZHANG Y L. Land use/land cover change and driving forces in the region of upper reaches of the Dadu river[J]. Progress in Geography,2004,23(1):71-78.
[12] 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):2257-2269. HAI B B, LI X J, XU J W. Spatio-temporal evolution of rural settlements in Gongyi[J]. Geographical Research,2013,32(12):2257-2269.
[13] ZHOU G H, HE Y H, TANG C L, et al. Dynamic mechanism and present situation of rural settlement evolution in China[J]. Journal of Geographical Sciences,2013,23(3):513-524.
[14] 孙华生,黄敬峰,金艳,等.基于GIS技术的县域居民点空间分布特征分析及其优化布局[J].浙江大学学报:农业与生命科学版,2007,33(3):348-354. SUN H S, HUANG J F, JIN Y, et al. Spatial distribution characteristics analysis and optimization of county level settlements based on GIS[J]. Journal of Zhejiang University:Agriculture & Life Science,2007,33(3):348-354.
[15] 沈陈华.丹阳市农村居民点空间分布尺度特征及影响因素分析[J].农业工程学报,2012,28(22):261-268. SHEN C H. Spatial distribution scale characteristics of rural settlements and analysis on influencing factors in Danyang City[J]. Transactions of the Chinese Society of Agricultural Engineering,2012,28(22):261-268.
[16] 董灵波,刘兆刚,张博,等.基于Ripley L和O-ring函数的森林景观空间分布格局及其关联性[J].应用生态学报,2014,25(12):3429-3436. DONG L B, LIU Z G, ZHANG B, et al. Forest landscapes' spatial point patterns and associations based on Ripley L and O-ring f
[1] 陈曦亮,李钢,于悦,徐锋,何瑛,杨佳辰. 无人机视角下西藏目的地视觉形象感知及其地-空转换机制[J]. 浙江大学学报(理学版), 2023, 50(2): 249-260.
[2] 童晨, 李加林, 叶梦姚, 童亿勤, 田鹏, 王丽佳, 刘瑞清, 周子靖. 东海区海岸带景观格局变化对生态系统服务价值的影响[J]. 浙江大学学报(理学版), 2020, 47(4): 492-507.
[3] 黄哲, 查贲, 沈杭锋, 翟国庆, 张霏燕. 浙江西北部山地暴雨特征[J]. 浙江大学学报(理学版), 2019, 46(2): 227-235.
[4] 吴宝清, 吴晋峰, 周芳如, 杨春华. 旅游目的地形象清晰度及测评方法——以西安为例[J]. 浙江大学学报(理学版), 2018, 45(3): 379-390.
[5] 吕越, 陈忠清. 城市家庭日常出行氮排放影响因素分析——以杭州市为例[J]. 浙江大学学报(理学版), 2017, 44(1): 121-126.
[6] 赵亚莉, 刘浩滢, 厉子龙, 邹思远, 孙浩伟, 励音骐, 杨树锋, 陈汉林, 成军. 多元统计分析在塔里木瓦吉里塔格钒钛磁铁矿床多元素相关性及成矿预测研究中的应用[J]. 浙江大学学报(理学版), 2016, 43(6): 716-725.
[7] 杨晓鸣 寿彩丽 . 图书质量评估定量分析探讨 [J]. 浙江大学学报(理学版), 1998, 25(4): 96-99.