The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 99–104, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-99-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 99–104, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-99-2022
 
01 Jun 2022
01 Jun 2022

RESEARCH ON DEMONSTRATE TRANSPORTATION DEVELOPMENT WITH HEAT MAP

X. Du1, G. Li2, G. Han3, Q. Zhou1, and S. Lin1 X. Du et al.
  • 1National Geomatics Center of China, No.28, Lianhuachi West Road, Haidian District, Beijing, China
  • 2Bureau of Natural Resources and Planning of Mengyin County, No.198, Mengshan Road, Mengyin County, Shandong, China
  • 3Geo-Compass Information Technology Co, LTD, 10 Floor C Building, Qingdong Business District, Haidian District, Beijing, China

Keywords: Heat Map, Kernel Density Analysis, Traffic Weighting, Transportation Development Index, Iterate Optimization

Abstract. Heat map is an intuitive and accurate visualization tool for spatial data, which is wildly used in many fields. Based on analysis and setting the various layer weights and technical levels of traffic lines, we can use heat map to demonstrate the distribution state and development level of transportation in certain region, with using the comprehensively methods of inverse distance weight, histogram equalization, density compensation and repetitive parameter iteration. The heat map rule describes the rules of traffic line weighting, line-to-poly modification, dot density adjustment and liner fitting, et al, which can extract and demonstrate transportation development index accurately. Based on traffic layer of global geographic data in some Asian and African countries, heat map of transportation development index test has been done to verify the feasibility and reliability.