Title: Research on dynamic simulation of land use change based on geographical weighted CLUE-S model

Authors: Lede Niu; Mei Pan

Addresses: School of Tourism and Geographical Sciences of Yunnan Normal University, Kunming 650500, China ' School of Tourism and Geographical Sciences of Yunnan Normal University, Kunming 650500, China

Abstract: In order to overcome the problems of poor denoising effect, large quantitative accuracy error and large spatial accuracy error of current land use change simulation methods, a dynamic simulation method of land use change based on geographically weighted CLUE-S model was proposed. Using CLUE-S model to simulate the expansion of urban space, combined with geographic weighted logistic stepwise regression method, the influencing factors of land use change were analysed. The spatial distribution of future land use area is realised by iteration, and the spatial visualisation simulation of land use prediction is realised. The experimental results show that the signal-to-noise ratio of the proposed method is more than 85 dB, the quantitative and spatial accuracy errors are less than 4%, and the ROC value is close to 1, which proves that the spatial simulation effect is relatively good.

Keywords: CLUE-S model; land use change; logistic stepwise regression; dynamic simulation.

DOI: 10.1504/IJETM.2021.115728

International Journal of Environmental Technology and Management, 2021 Vol.24 No.1/2, pp.49 - 61

Received: 25 May 2020
Accepted: 12 Nov 2020
Published online: 18 Jun 2021 *

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