PROGRESS IN GEOGRAPHY ›› 2016, Vol. 35 ›› Issue (7): 839-850.doi: 10.18306/dlkxjz.2016.07.005
• Articles • Previous Articles Next Articles
Jingyao KANG, Jinhe ZHANG*(), Huan HU, Jun ZHOU, Jie XIONG
Received:
2015-11-01
Revised:
2016-05-01
Online:
2016-07-25
Published:
2016-07-20
Contact:
Jinhe ZHANG
E-mail:kangjingyao_nj@163.com
Supported by:
Jingyao KANG, Jinhe ZHANG, Huan HU, Jun ZHOU, Jie XIONG. Analysis on the spatial distribution characteristics of Chinese traditional villages[J].PROGRESS IN GEOGRAPHY, 2016, 35(7): 839-850.
Tab.1
Nearest neighbor index of traditional villages for 31 provinces in China"
省份 | 最邻近点指数 | 分布类型 | 省份 | 最邻近点指数 | 分布类型 |
---|---|---|---|---|---|
黑龙江 | 1.336000 | 均匀 | 广西 | 0.571360 | 集聚 |
新疆 | 0.995000 | 集聚 | 广东 | 0.694387 | 集聚 |
山西 | 0.680000 | 集聚 | 海南 | 1.068000 | 均匀 |
宁夏 | 2.268165 | 均匀 | 吉林 | 1.561000 | 均匀 |
西藏 | 1.237000 | 均匀 | 辽宁 | 0.740000 | 集聚 |
山东 | 0.806000 | 集聚 | 天津 | — | — |
河南 | 0.607000 | 集聚 | 青海 | 0.275000 | 集聚 |
江苏 | 1.081000 | 均匀 | 甘肃 | 0.919000 | 均匀 |
安徽 | 0.670000 | 集聚 | 陕西 | 0.668000 | 集聚 |
湖北 | 0.715000 | 集聚 | 内蒙古 | 0.699323 | 集聚 |
浙江 | 0.656000 | 集聚 | 重庆 | 0.721000 | 集聚 |
江西 | 0.651000 | 集聚 | 河北 | 0.516000 | 均匀 |
湖南 | 0.697000 | 集聚 | 上海 | 2.230000 | 均匀 |
云南 | 0.597000 | 集聚 | 北京 | 1.185000 | 均匀 |
贵州 | 0.598000 | 集聚 | 四川 | 0.617544 | 集聚 |
福建 | 0.830000 | 集聚 |
Tab.2
Correlation coefficients of traditional village distribution and influencing factors"
省份 | 人口 | 经济 | 交通 | 城市化 | 省份 | 人口 | 经济 | 交通 | 城市化 |
---|---|---|---|---|---|---|---|---|---|
黑龙江 | 0.53* | 0.24 | 0.18 | -0.40 | 广西 | 0.21 | 0.30 | -0.25 | 0.02 |
新疆 | -0.12 | -0.02 | -0.15 | 0.06 | 广东 | 0.32 | -0.01 | -0.01 | -0.21 |
山西 | -0.36 | -0.33 | -0.10 | -0.20 | 海南 | 0.36 | 0.37 | 0.33 | 0.28 |
宁夏 | -0.23 | -0.57 | 0.22 | -0.80 | 吉林 | -0.43 | -0.38 | -0.60* | 0.86** |
西藏 | 0.69* | 0.67 | 0.70* | 0.40 | 辽宁 | -0.09 | -0.30 | -0.26 | -0.11 |
山东 | 0.17 | 0.49* | -0.49* | 0.31 | 天津 | — | — | — | — |
河南 | 0.03 | 0.03 | -0.26 | 0.12 | 青海 | 0.10 | -0.28 | 0.38 | -0.46 |
江苏 | -0.06 | 0.81** | 0.12 | 0.54* | 甘肃 | 0.52* | 0.33 | 0.29 | -0.08 |
安徽 | -0.33 | -0.24 | -0.73** | -0.15 | 陕西 | 0.17 | -0.17 | -0.23 | -0.33 |
湖北 | 0.26 | -0.12 | -0.21 | -0.50* | 内蒙古 | 0.29 | 0.60* | -0.00 | 0.22 |
浙江 | -0.06 | -0.15 | -0.54* | -0.21 | 重庆 | -0.30 | -0.24 | -0.56** | -0.10 |
江西 | 0.50 | 0.06 | -0.58* | -0.47 | 河北 | 0.41 | 0.60 | 0.32 | 0.16 |
湖南 | -0.06 | -0.38 | -0.64** | -0.54* | 上海 | 0.65** | 0.44* | 0.29 | 0.50 |
云南 | 0.05 | -0.05 | 0.04 | -0.05 | 北京 | -0.32 | -0.30 | -0.27 | -0.45* |
贵州 | -0.08 | -0.34 | -0.12 | -0.23 | 四川 | -0.31 | -0.19 | -0.53** | -0.33 |
福建 | -0.10 | -0.45 | -0.73* | -0.65* |
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