PROGRESS IN GEOGRAPHY ›› 2016, Vol. 35 ›› Issue (12): 1494-1505.doi: 10.18306/dlkxjz.2016.12.006
• Orginal Article • Previous Articles Next Articles
Kejing WANG1,2(), Hongyan CAI1,*(
), Xiaohuan YANG1
Online:
2016-12-20
Published:
2016-12-20
Contact:
Hongyan CAI
E-mail:wkj_3210@163.com;caihy@igsnrr.ac.cn
Supported by:
Kejing WANG, Hongyan CAI, Xiaohuan YANG. Multiple scale spatialization of demographic data with multi-factor linear regression and geographically weighted regression models[J].PROGRESS IN GEOGRAPHY, 2016, 35(12): 1494-1505.
Tab.1
Data sources for spatialization of population distribution"
数据名称 | 数据时相 | 数据类型 | 空间数据比例尺/分辨率 | 数据来源 |
---|---|---|---|---|
县级人口统计数据 | 2010年 | 表格 | / | 2010年人口普查资料 |
县级GDP统计数据 | 2010年 | 表格 | / | 安徽省社会经济统计年鉴 |
县级行政边界数据 | 2010年 | 矢量 | 1:100万 | 中国科学院资源环境科学数据中心 |
河流、交通数据 | 2008年 | 矢量 | 1:100万 | 中国科学院资源环境科学数据中心 |
地貌数据 | 2009年 | 矢量 | 1:100万 | 中国科学院资源环境科学数据中心 |
ASTER-DEM | 1999年 | 栅格 | 30 m | 中国科学院资源环境科学数据中心 |
土地利用数据 | 2010年 | 栅格 | 1 km×1 km | 中国科学院资源环境科学数据中心 |
DMSP/OLS(F182010) | 2010年 | 栅格 | 1 km×1 km(重采样后) | http://www.ngdc.noaa.gov |
Tab.2
Statistics of regionalization factors in Anhui Province"
分区 序号 | 分区名称 | 县(市、区)个数 | 人口密度/(人/km2) | GDP密度/(万元/km2) | 河流密度/(km/km2) | 坡度/° | 高程/m | 耕地面积 比例/% | 城镇建设用地面积比例/% |
---|---|---|---|---|---|---|---|---|---|
1 | 人口密度高值市辖区 | 8 | 2414 | 13506 | 1.02 | 3 | 28 | 48 | 30 |
2 | 中北部平原较高人口密度地区 | 28 | 531 | 783 | 0.98 | 2 | 23 | 78 | 15 |
3 | 中部台地较低人口密度地区 | 25 | 334 | 607 | 0.87 | 4 | 58 | 59 | 7 |
4 | 南部山地低人口密度地区 | 17 | 155 | 291 | 0.58 | 15 | 345 | 19 | 2 |
Tab.4
Relative errors for each region in Anhui Province"
分区 | 基于多元统计回归方法的误差(RE)/% | 基于GWR方法的 误差(RE)/% | |||||
---|---|---|---|---|---|---|---|
1 km | 5 km | 10 km | 1 km | 5 km | 10 km | ||
分区1 | 18.52 | 17.15 | 14.51 | 17.71 | 12.00 | 18.09 | |
分区2 | 19.94 | 19.40 | 22.10 | 16.89 | 16.43 | 18.30 | |
分区3 | 27.20 | 26.57 | 20.27 | 24.02 | 24.18 | 22.18 | |
分区4 | 29.46 | 29.92 | 29.67 | 30.86 | 34.55 | 35.86 | |
全省均值 | 24.20 | 23.76 | 23.38 | 22.31 | 22.41 | 23.35 |
Tab.5
County statistics for each error range"
模型方法 | 尺度 | 误差范围/% | 县个数 | 占总数比例/% |
---|---|---|---|---|
基于夜间 灯光数据 再分类的 多元统计 回归方法 | 1 km | <10 | 24 | 30.77 |
10~20 | 21 | 26.92 | ||
20~30 | 9 | 11.54 | ||
>30 | 24 | 30.77 | ||
5 km | <10 | 21 | 26.92 | |
10~20 | 24 | 30.77 | ||
20~30 | 13 | 16.67 | ||
>30 | 20 | 25.64 | ||
10 km | <10 | 26 | 33.33 | |
10~20 | 22 | 28.21 | ||
20~30 | 11 | 14.10 | ||
>30 | 19 | 24.36 | ||
基于夜间 灯光数据 再分类的 GWR方法 | 1 km | <10 | 26 | 33.33 |
10~20 | 19 | 24.36 | ||
20~30 | 13 | 16.67 | ||
>30 | 20 | 25.64 | ||
5 km | <10 | 24 | 30.76 | |
10~20 | 22 | 28.21 | ||
20~30 | 10 | 12.82 | ||
>30 | 22 | 28.21 | ||
10 km | <10 | 22 | 28.21 | |
10~20 | 19 | 24.36 | ||
20~30 | 16 | 20.51 | ||
>30 | 21 | 26.92 |
Tab.6
Error statistics by elevation and slope"
分级阈值 /(m/°) | 县数量 /个 | 多元统计方法误差百分比/% | GWR方法误差百分比/% | ||||||
---|---|---|---|---|---|---|---|---|---|
1 km | 5 km | 10 km | 1 km | 5 km | 10 km | ||||
高程 | 0~50 | 49 | 18.78 | 17.24 | 19.83 | 16.60 | 15.15 | 16.98 | |
50~150 | 11 | 34.78 | 36.68 | 18.83 | 30.55 | 32.84 | 29.38 | ||
>150 | 18 | 32.34 | 33.52 | 32.25 | 32.94 | 35.97 | 37.42 | ||
坡度 | 0~3 | 35 | 20.40 | 17.96 | 23.73 | 17.63 | 15.83 | 17.41 | |
3~6 | 19 | 20.77 | 21.75 | 15.06 | 17.15 | 16.80 | 18.58 | ||
>6 | 24 | 32.44 | 33.85 | 26.23 | 33.27 | 36.45 | 35.79 |
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