机构地区: 赣南师范大学地理与规划学院,江西赣州341000 中国科学院大学,北京100049
出 处: 《赣南师范大学学报》 2017年第4期40-44,共5页
摘 要: 以赣南地区兴国县25个圩镇为例,采用空间关联维数和随机集聚维数分形模型,对客家圩镇的地域空间结构进行分析,研究发现:兴国县25个圩镇的交通距离的空间关联分维值(DS2=1.1536)和直线距离的空间关联分维值(DS1=1.2797)都比较接近1,圩镇的空间结构具有分形特征,且有集中到某一地理线的趋势。牛鸦维数比为0.9015,说明兴国县圩镇间的交通道路网络较完备,整体通达情况较好;潋江、高兴和古龙岗等3个中心圩镇的随机集聚分维值都小于2,分形特征较明显,3个圩镇周边的圩镇空间分布呈集聚分布,其中,潋江周边圩镇的空间分布集聚特征最明显,其次为古龙岗,高兴最不明显;客家圩镇的空间结构是地理自然环境和人文历史共同作用的结果,兴国客家圩镇的空间关联维数和随机集聚分维体现的分形特征客观上反映这种自然和人文因素共同作用的结果的事实。基于研究结果提出政策建议即在制定圩镇发展规划时,可以借鉴分形思维,尊重自然和人文发展规律。 Studies are made in the paper on the fractal features of the spatial structure of Hakka town: taking 25 towns in Xingguo county as an example. The analysis found that:( 1) Association space transportation distance of 25 towns in Xingguo county fractal dimension( DS2= 1. 1536) and linear distance space correlation dimension value( DS1= 1. 2797) is close to 1,the spatial structure of towns have fractal characteristics,and concentrated to a geographical trend line. The ratio of cattle crow is 0. 9015,and the traffic road network of Xingguo County is complete.( 2) Random aggregation fractal values in 3 center towns of Lian jiang town、Gu Longgang town and Gaoxing town are less than 2,the fractal feature is obvious,the 3 towns spatial distribution was aggregated distribution,the distribution characteristics of agglomeration in Lianjiang town was the most obvious,followed by the Gu Longgang town,the most in the Gaoxing is not obvious.( 3) The spatial structure of the Hakka town is the result of the combination of geographical environment and human history,the fractal features of the spatial correlation dimension and the random aggregation fractal dimension of the Hakka town reflect objectively the fact that the natural and human factors interact together. Finally,the paper puts forward some policy suggestions,which can be used for reference in formulating the development plan of the town,which is based on Fractal thinking,and respect the law of natural and human development.