Cokriging Areal Interpolation for Estimating Economic Activity Using Night-Time Light Satellite Data

被引:0
|
作者
Triantakonstantis, Dimitrios [1 ]
Stathakis, Demetris [1 ]
机构
[1] Univ Thessaly, Lab Spatial Anal GIS & Themat Mapping, Dept Urban & Reg Planning Engineers, Volos 38334, Volos, Greece
来源
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2014, PT IV | 2014年 / 8582卷
关键词
Cokriging; Gross Domestic Product; DMSP-OLS; areal interpolation; Greece; REGRESSION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
There is a strong correlation between economic activity, which can be measured by Gross Domestic Product (GDP) and the night-time light emissions data. Gross Domestic product is usually available in large aggregate units and therefore the disaggregation has become a necessity in urban and regional development. The night-time light data obtained by Defence Meterological Satellite Program - Operational Linescan System (DMSP-OLS) are supplementary information for measuring GDP in disaggregated units. Cokriging areal interplation was used in this present study in order to disaggregate the GDP contained in 51 Greek administrative divisions NUTS 3. The final disaggregated units are the 1035 municipal divisions. The supplementary night-time light emission data were used as additional variable (proxy variable) to cokriging method. The results showed high performance because cokriging incorporates the spatial aurocorrelation and cross-correlation between the examined variables.
引用
收藏
页码:243 / 252
页数:10
相关论文
共 22 条
  • [1] ESTIMATING INDUSTRIAL STRUCTURE CHANGES IN CHINA USING DMSP - OLS NIGHT-TIME LIGHT DATA DURING 1999-2012
    Han, Xu
    Tana, Gegen
    Qin, Kai
    Letu, Husi
    2018 ISPRS WORKSHOP ON REMOTE SENSING AND SYNERGIC ANALYSIS ON ATMOSPHERIC ENVIRONMENT, 2018, 42-3 (W5): : 9 - 15
  • [2] Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSP/OLS satellite data
    Ma, Ting
    Zhou, Yuke
    Zhou, Chenghu
    Haynie, Susan
    Pei, Tao
    Xu, Tao
    REMOTE SENSING OF ENVIRONMENT, 2015, 158 : 453 - 464
  • [3] Regression-based measure of urban sprawl for Italian municipalities using DMSP-OLS night-time light images and economic data
    Bergantino, Angela Stefania
    Di Liddo, Giuseppe
    Porcelli, Francesco
    APPLIED ECONOMICS, 2020, 52 (38) : 4213 - 4222
  • [4] Variable Selection for Estimating Population Using DMSP-OLS Night-time Image
    Yoo, Su Hong
    Han, Soo Hee
    Heo, Joon
    Sohn, Hong Gyoo
    KOREAN JOURNAL OF REMOTE SENSING, 2011, 27 (01) : 69 - 74
  • [5] Quantifying night-time light change drivers in China's Yangtze River economic zone
    Kou, Pinglang
    Tao, Yuxiang
    Yunus, Ali P.
    Xu, Qiang
    Liu, Rui
    Jin, Zhao
    Liang, Wenli
    Xia, Ying
    Yuan, Shuang
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 45 (21) : 7856 - 7877
  • [6] Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing
    Li, Xi
    Levin, Noam
    Xie, Jinlong
    Li, Deren
    REMOTE SENSING OF ENVIRONMENT, 2020, 247
  • [7] Identifying drivers of urban landuse changes in the Wenchuan earthquake-affected area by using night-time light data
    Huang, Tao
    Ding, Mingtao
    Geng, Dongxian
    Gao, Zemin
    Zheng, Hao
    JOURNAL OF MOUNTAIN SCIENCE, 2024, 21 (04) : 1140 - 1159
  • [8] Advances in using multitemporal night-time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics
    Bennett, Mia M.
    Smith, Laurence C.
    REMOTE SENSING OF ENVIRONMENT, 2017, 192 : 176 - 197
  • [9] Estimating economic activity of South African provinces using satellite technology: An econometric panel data application
    Coetzee, C. E.
    Kleynhans, E. P. J.
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2021, 23
  • [10] Identifying and Classifying Shrinking Cities Using Long-Term Continuous Night-Time Light Time Series
    Dong, Baiyu
    Ye, Yang
    You, Shixue
    Zheng, Qiming
    Huang, Lingyan
    Zhu, Congmou
    Tong, Cheng
    Li, Sinan
    Li, Yongjun
    Wang, Ke
    REMOTE SENSING, 2021, 13 (16)