中國(guó)城市規(guī)模分布實(shí)證研究-基于微觀空間數(shù)據(jù)和城市聚類算法的探索

分布進(jìn)行實(shí)證研究。首先，本文對(duì)城市規(guī)模進(jìn)行分類，然后利用K-means算法對(duì)城市進(jìn)行聚類分析，得出了三類城市：大城市、中等規(guī)模Urbansizedistributionisanimportantstudytopicinurbaneconomicgeography,urbanplanning,andurbandevelopment.Inthispaper,weusemicro-spatialdataandurbanclusteringalgorithmstoempiricallystudythesizedistributionofcitiesinChina.Firstly,thispaperclassifiestheurbansize,andthenusesK-meansalgorithmtoclustercities,obtainingthreecategoriesofcities:largecities,medium-sizedcities,andsmallcities.Thenwecompareandanalyzethesizedistribution,spatialdistributionandbasiccharacteristicsofvarioustypesofcities,elaboratingtheactualsituationandpresentsituationofChina'surbansizedistribution.Finally,weanalyzetheinfluencingfactorsofurbansizedistributionandtheenlightenmentforurbanKeywords:urbansizedistribution;micro-spatialdata;urbanclusteringalgorithm;K-meansalgorithm;urbaneconomicgeography城市區(qū)域分權(quán)、城市群協(xié)調(diào)發(fā)展、城市密度控制等。此外，計(jì)算機(jī)科學(xué)、統(tǒng)計(jì)學(xué)和數(shù)據(jù)科學(xué)等領(lǐng)域也涉及了城市規(guī)模分布的研究，通過利用大數(shù)本文利用了全國(guó)社會(huì)保險(xiǎn)人員參保登記信息數(shù)據(jù)，數(shù)據(jù)來源于國(guó)家4000萬人口的參保登記信K-means算法來對(duì)城市進(jìn)行聚類分析，選擇的聚類指標(biāo)是城市人口、D等三個(gè)方面的指標(biāo)。聚類過程中，我們?cè)O(shè)置了三個(gè)