Journal of Geo-information Science, Volume. 22, Issue 2, 231(2020)
Figures & Tables(15)
Fig. 1. Location and elevationdistribution of Yongxin County in Jiangxi province
Fig. 3. Distribution of regression coefficients of the PCA-GWR model
Fig. 5. Spatial distribution pattern of poverty incidence at village level in Yongxin County from 2013 to 2017
Fig. 6. Global Moran's
Fig. 7. Results of local spatial autocorrelation of poverty incidence at village level in Yongxin county from 2013 to 2017
Table 1. Analysis of the correlation between poverty indicators and poverty incidence in Yongxin County in 2013
View tableView in ArticleTable 1. Analysis of the correlation between poverty indicators and poverty incidence in Yongxin County in 2013
贫困维度 贫困指标 Pearson相关系数 相关性程度 自然因素 高程 0.289** 显著弱相关 NDVI 0.282** 显著弱相关 坡度 0.031 不显著 坡度>8°面积占比 0.214** 显著弱相关 社会因素 疾病 0.711** 显著强相关 到最近镇驻地距离 -0.083 不显著 缺乏劳动力 0.887** 显著极强相关 夜间灯光 -0.173** 显著极弱相关 低学历 0.986** 显著极强相关 经济因素 人均收入 0.107 不显著
Table 2. Correlation analysis of poverty indicatorsin Yongxin County in 2013
View tableView in ArticleTable 2. Correlation analysis of poverty indicatorsin Yongxin County in 2013
疾病 缺乏劳动力 低学历 坡度>8°面积占比 高程 NDVI 疾病 1.000 0.786** 0.737** 0.149* 0.164* 0.159* 缺乏劳动力 0.786** 1.000 0.912** 0.229** 0.291** 0.297** 低学历 0.737** 0.912** 1.000 0.194** 0.268** 0.281** 坡度>8°面积占比 0.149* 0.229** 0.194** 1.000 0.686** 0.397** 高程 0.164* 0.291** 0.268** 0.686** 1.000 0.689** NDVI 0.159* 0.297* 0.281* 0.397** 0.689** 1.000
Table 3. Principal component analysis of poverty indicatorsin Yongxin County in 2013
View tableView in ArticleTable 3. Principal component analysis of poverty indicatorsin Yongxin County in 2013
主成分 特征值 贡献率% 累计贡献率% 第一主成分 3.127 52.124 52.124 第二主成分 1.701 28.352 80.476 第三主成分 0.605 10.088 90.564 第四主成分 0.278 4.634 95.198 第五主成分 0.206 3.428 98.626 第六主成分 0.082 1.374 100
Table 4. Eigenvectors of each principal componentin Yongxin County in 2013
View tableView in ArticleTable 4. Eigenvectors of each principal componentin Yongxin County in 2013
原始变量 第一主成分 第二主成分 第三主成分 疾病 0.619 -0.005 0.094 缺乏劳动力 0.534 0.127 0.139 低学历 0.525 0.128 0.091 坡度>8°面积占比 0.055 0.136 1.232 高程 0.070 0.504 0.843 NDVI 0.078 0.728 0.235
Table 5. Local VIF statistics of poverty indicators of the GWR model
View tableView in ArticleTable 5. Local VIF statistics of poverty indicators of the GWR model
VIF统计 低学历 疾病 缺乏劳动力 高程 NDVI 坡度>8°面积占比 VIF均值 4.94 2.53 6.05 3.16 2.02 2.01 VIF最大值 7.32 3.64 8.69 3.86 2.30 2.55 VIF最小值 3.66 2.08 4.51 2.58 1.78 1.55
Table 6. Local VIF statistics of the principal components of the PCA-GWR model
View tableView in ArticleTable 6. Local VIF statistics of the principal components of the PCA-GWR model
VIF统计 第一主成分 第二主成分 第三主成分 VIF均值 1.02 1.03 1.03 VIF最大值 1.06 1.15 1.19 VIF最小值 1.00 1.00 1.00
Table 7. Global autocorrelation results of the poverty incidence at village level in Yongxin County
View tableView in ArticleTable 7. Global autocorrelation results of the poverty incidence at village level in Yongxin County
年份 Moran's I z 值p 值2013 0.343 8.878 0.001 2014 0.288 7.487 0.001 2015 0.347 8.737 0.001 2016 0.248 6.269 0.001 2017 -0.014 0.392 -0.308
Table 8. Number of cold and hot spots of poverty incidence at village level in Yongxin county from 2013 to 2017
View tableView in ArticleTable 8. Number of cold and hot spots of poverty incidence at village level in Yongxin county from 2013 to 2017
年份 热点个数 冷点个数 不显著个数 2013 16 31 185 2014 19 33 180 2015 23 36 173 2016 28 26 178 2017 22 11 199
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Yaowen LUO, Zhoupeng REN, Yong GE, Litao HAN, Mengxiao LIU, Yawen HE.
Paper Information
Received: Jun. 10, 2019
Accepted: --
Published Online: Sep. 16, 2020
The Author Email: GE Yong (gey@lreis.ac.cn)
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