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| 1 | 空间效应及其回归模型在林业中的应用显示文摘介绍了空间自相关及空间异质性,综述了空间滞后模型(SLM)、空间误差模型(SEM)、混合效应模型(MEM)和地理加权回归模型(GWR)等空间回归模型在林业中的应用,分析了空间回归模型在不同尺度的林业问题中的应用情况,并针对空间回归模型在林业研究中应用所存在的问题进行探讨。 | 张博 欧光龙 孙雪莲 徐婷婷 胥辉 | 2016 | 西南林业大学学报(自然科学)2016，36，3： | 12 |
| 2 | Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model显示文摘This paper studies the relationship between accessibility and housing prices in Dalian by using an improved geographically weighted regression model and house prices, traffic, remote sensing images, etc. Multi-source data improves the accuracy of the spatial differentiation that reflects the impact of traffic accessibility on house prices. The results are as follows: first, the average house price is 12 436 yuan(RMB)/m^2, and reveals a declining trend from coastal areas to inland areas. The exception was Guilin Street, which demonstrates a local peak of house prices that decreases from the center of the street to its periphery. Second, the accessibility value is 33 minutes on average, excluding northern and eastern fringe areas, which was over 50 minutes. Third, the significant spatial correlation coefficient between accessibility and house prices is 0.423, and the coefficient increases in the southeastern direction. The strongest impact of accessibility on house prices is in the southeastern coast, and can be seen in the Lehua, Yingke, and Hushan communities, while the weakest impact is in the northwestern fringe, and can be seen in the Yingchengzi, Xixiaomo, and Daheishi community areas. | YANG Jun BAO Yajun ZHANG Yuqing LI Xueming GE Quansheng | 2018 | Chinese Geographical Science2018，28，3： | 10 |
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