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Outline
Aiming at the quantitative evaluation of observation environment complexity in GNSS high-precision positioning, a comprehensive subjective and objective weighted combinative distance-based assessment (CODAS) method based on data quality indicators such as data integrity rate, cycle slip ratio, pseudorange multipath error, carrier-to-noise ratio and PDOP is proposed. According to different weighting strategies, the CODAS, TOPSIS and VIKOR methods are used to evaluate the observation environment complexity of 120 monitoring stations, and the Spearman correlation coefficient is used to measure the correlation between evaluation results of each method and the accuracy of PPP kinematics solution. The results show that the comprehensive subjective and objective weighting can improve the accuracy of CODAS method compared with the single weighting. The Spearman correlation coefficients of evaluation results of CODAS method with RMSE and ME are 0.897 and 0.924, respectively, which are better than TOPSIS and VIKOR methods. Parameter sensitivity analysis shows that the mean standard deviation of evaluation results of CODAS method under different trade-off parameters is less than 1.5, indicating good stability.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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