Journal of Geo-information Science ›› 2017, Vol. 19 ›› Issue (7): 872-879.doi: 10.3724/SP.J.1047.2017.00872

• Orginal Article • Previous Articles     Next Articles

Spatial Interpolation Method of Electromagnetic Geographical Environment Monitoring Data

WANG Mengyi1,2,3(), SHENG Yehua1,2,3,*(), HUANG Yiyun4, LV Haiyang1,2,3, HUANG Yi1,2,3   

  1. 1. Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China
    2. State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
    3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    4. Jiangsu Province Engineering Investigation and Research Institute CO., LTD, Yangzhou 225100, China;
  • Received:2016-12-27 Revised:2017-05-08 Online:2017-07-10 Published:2017-07-10
  • Contact: SHENG Yehua E-mail:monniewang@163.com;shengyehua@njnu.edu.cn

Abstract:

Human beings live in a ubiquitous electromagnetic geographical environment. To evaluate how the electromagnetic environment influence human's daily life, it is significant to monitor and analyze the temporal, spatial and frequent characteristics of electromagnetic environment. At present, only a few studies focus on data acquisition methods and spatial representation of electromagnetic radiation. Traditional spatial interpolation methods are effective means for representing spatial distribution patterns of geographical phenomenon and have been widely used in various academic fields. However, these spatial interpolation methods are not suitable for representing electromagnetic phenomenon because of its unique characteristics of spatial propagation and attenuation. Electromagnetic environment monitoring system of full band vehicle can collect dense spatial samples of electromagnetic radiation intensity data when the car is driving along the roads and streets. However, sampling data cannot describe the spatial pattern in the whole region. To describe the spatial distribution pattern at regional scale, it is necessary to interpolate the collected electromagnetic data into the whole research area. According to the electromagnetic radiation propagation law, we proposed and implemented a new spatial interpolation method based on electromagnetic radiation propagation model. Using this interpolation method, sampling data are interpolated in the entire region to implement the spatialization representation of electromagnetic radiation field. Also, the new spatial interpolation method is compared with two traditional spatial interpolation approaches, i.e. IDW and Kriging. Experimental results indicated that the proposed method is more suitable for the reconstruction of electromagnetic radiation field than other spatial interpolation methods.

Key words: electromagnetic environment, electromagnetic radiation, spatial interpolation