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时间:2017-12-07
《不同尺度乡村聚落景观的空间集聚性分形特征及影响因素分析——以江苏省镇江市为例》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、2014年第1期总第135期文章编号:1003—2398(2014)01.0099.09不同尺度乡村聚落景观的空间集聚性分形特征及影响因素分析——以江苏省镇江市为例吴江国,张小林’,冀亚哲’(1.南京师范大学地理科学学院,南京210023;2.江苏省土地勘测规划院,南京210024)THEⅢII.LEVELSPIALAGGREGAT10NFRACTALCHARACTEISTICSOFRIALSETTLEMENTSANDDLUENCINGFACTORS:ACASESTUDYOFZHENJIANGI
2、NJIANGSUWUJiang-guo,ZHANGXiao—lin,JIYa—zhe《lCollegeofGeographicalScience,NanjingNormalUniversi05Nanjing210046,China;2JiangsuInstituteofLandSurveyingandPlanning,Nanjing210024,Ctn'na)Abstract:Fractalstudyisoneofthemostimportantbranchesinmodemtheoreticg
3、eography.Thispapercom-mencedwiththeapplicationofthefractaltheoryandtriedtocomparethecharacteristicsofthesettlementssystematthescaleofwhichcontainscounty,townandvillage,byusingArcGIS9.3softwareandtakingna—tionalresultsofthesecondnationallandsurveydata
4、asthemaindatasource.ThestudyareawaslocatedinDanyangandJurongofZhenjiang.Basedonthefractaltheory,thepaperstudiedthescalediferenceofspa-tialstructureofsettlementssystem,thenthepaperanalyzedtheinfluencingfactorofspatialaggregationfrac—talcharacterofther
5、uralsetlementsatthescaleoftownandvillage.Accordingtotheresultsofcalculationandanalysis,thepaperdrewtheconclusionsbelow:(1)setlementssysteminDanyangandJurongarefrac-talinspatialstructureofsetlementssystem,actingasaself-similarstructure;(2)Thespatialag
6、gregationofruralsettlementssysteminDanyangandJurongbothactasfractalcharacteratdiferentscale;(3)asaresultofspatialoverlaybetweenterrainandfractaldimension,statisticalresultsshowsthatterainisaimportantfactorwhichinfluencethespatialaggregation;(4)Atthes
7、caleofthetownhinterland,wefoundthatimprove—mentoftransportationnetworkmakestheruralsetlementsmoreindependentonspatialdistances.Therefore,inthefuturework,fractaltheorywouldbeausefultoolfortheplanningofsetlementssystem,finallymak—ingefectiveuseofgeospa
8、tialresourcesandoptimizingthespatialstructureofthesettlementsysteminaspe-cificarea.Keywords:setlementssystem;fractal;spatialaggregation;scale提要:为分析乡村聚落景观空间结构的分形特征,即中心村>镇>县城;地形是影响乡村聚落景观征,以GIS为平台、土地调查数据为主要数据源,通空间集聚性分形特征,表现为腹地内坡度越大,集聚过集聚维数,分别在县域、镇域和村域三个
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