Big geodata mining: Objective, connotations and research issues

Tao PEI; Ci SONG; Sihui GUO; Hua SHU; Yaxi LIU; Yunyan DU; Ting MA; Chenghu ZHOU

doi:10.1007/s11442-020-1726-7

Journal of Geographical Sciences, Volume. 30, Issue 2, 251(2020)

Big geodata mining: Objective, connotations and research issues

Tao PEI^1,2、*, Ci SONG^1,2, Sihui GUO^1,2, Hua SHU^1,2, Yaxi LIU^1,2, Yunyan DU^1,2, Ting MA^1,2, and Chenghu ZHOU^1,2

¹. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

². University of Chinese Academy of Sciences, Beijing 100049, China

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Fig. 1. Fine-scale demographic estimation using mobile phone data (Liu et al., 2018)

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Fig. 2. Transformation between homogeneity and heterogeneity of the geographical point process at difference scales: (a) heterogeneity at a large scale; (b) homogeneity at a small scale.

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Tao PEI, Ci SONG, Sihui GUO, Hua SHU, Yaxi LIU, Yunyan DU, Ting MA, Chenghu ZHOU. Big geodata mining: Objective, connotations and research issues[J]. Journal of Geographical Sciences, 2020, 30(2): 251

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Paper Information

Received: Aug. 28, 2019

Accepted: Sep. 29, 2019

Published Online: Sep. 29, 2020

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DOI:10.1007/s11442-020-1726-7

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Resource Economy

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