Multi-bandwidth geographically weighted regression cellular automaton method for ecological service value prediction
A technology of cellular automata and ecological services, which is applied in the field of simulation of ecological service value changes, and can solve problems such as bandwidth sensitivity
Active Publication Date: 2020-04-10
TONGJI UNIV
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The literature shows that GWR is relatively insensitive to weighting functions, but sensitive to bandwidth
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[0116] The actual concrete embodiment of the present invention is as follows:
[0117] Taking the urban land use in Chongqing from 2000 to 2010 as the case area, the location of the case area is as follows figure 2 shown.
[0118] Firstly, this embodiment establishes a cellular automata model (CA) based on geographic weighted regression GWR-ESV ), on this basis, the impact of different bandwidths on the model results was compared, and the model was calibrated and verified under the optimal bandwidth, and finally the land use change in Chongqing in 2030 was simulated. By combining the ecological service value with the land use type, the historical ecological service value can be reconstructed spatially and the future ecological service value change can be predicted. The evaluation method of ecological service value based on cellular automata and geographically weighted regression includes the following steps:
[0119] 1) First select the remote sensing image data of Chongqi...
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The invention relates to a multi-bandwidth geographically weighted regression cellular automaton method for ecological service value prediction. The method comprises the following steps: 1) supervising and classifying remote sensing images to obtain land utilization classification maps and spatial variable factor data of initial and end years; 2) obtaining a land utilization graph and effective sample points of space variables; 3) training a CA conversion rule for the effective sample points by using geographically weighted regression, and obtaining a land conversion probability under the influence of a spatial variable; 4) establishing a CAGWR-ESV model; 5) detecting the influence of different bandwidths on the CAGWR-ESV model; 6) selecting an optimal bandwidth, simulating and predictingland utilization change by using a CAGWR-ESV model, and performing precision evaluation; 7) establishing numerical association between the ecological service value and land utilization; 8) performingprediction according to a CAGWR-ESV model result and performing joint analysis with historical ecological service value, and 9) outputting and storing a simulation result. The CAGWR-ESV model adoptedby the invention can effectively simulate city growth and complete evaluation of future ecological service value change.
Description
technical field [0001] The invention relates to a method for simulating changes in ecological service value, in particular to a multi-bandwidth geographic weighted regression cellular automata method for ecological service value prediction. Background technique [0002] Ecosystem services are the beneficial resources that humans obtain from the natural environment and ecosystems to support life on Earth. However, around 60% of ecosystem services globally are being degraded and this trend is projected to intensify by 2050. The degradation of ecosystem services is mostly caused by threats to the natural environment caused by human activities such as industrialization and urbanization. With the development of the economy, the rapid expansion of cities has led to an increasing demand for urban space, making the problem more serious. According to reports, urban residents accounted for 50% of the global population in 2008, and this proportion will rise to 70% by 2050. The rapid ...
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IPC IPC(8): G06K9/00G06K9/62G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/06393G06V20/13G06F18/2415
Inventor 冯永玖童小华刘颂谢欢
Owner TONGJI UNIV