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Predicting urbanization level by main element analysis and multiple linear regression---taking Xiantao district in Hubei Province as an example
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作者 Li BingyiDepartment of Urban Planning & Architecture, Wuhan Urban Construction Institute,Wuhan 430074, CHINA 《Journal of Geographical Sciences》 SCIE CSCD 1998年第1期90-91,93-94,共4页
In this paper we firstly select main factors relating to urbanization level of Xiantao District in Hubei Province by main element, then, make model of urbanization level by analysis of multiple liner regression, and l... In this paper we firstly select main factors relating to urbanization level of Xiantao District in Hubei Province by main element, then, make model of urbanization level by analysis of multiple liner regression, and lastly predict its urbanization level 展开更多
关键词 urbanization level main element analysis multiple linear regression Xiantao Hubei PROVINCE
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Education Investment Fixed Asset Investment and Regional Economic Development Differences--Empirical analysis based on Chinese
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作者 Shiyu Han 《Proceedings of Business and Economic Studies》 2020年第6期61-67,共7页
In this article,it discusses the di£ferences in economic development between urban and rural areas and regions in our country from the perspective of education investment and fixed asset investment.Based on the p... In this article,it discusses the di£ferences in economic development between urban and rural areas and regions in our country from the perspective of education investment and fixed asset investment.Based on the provincial data of 31 provinces from 1999 to 2017 released by National Bureau of Statistics,it expends the Cobb-Douglas model and Lucas model,and analyses the data with multiple linear regression models.From the study,it finds that compared with investment in fixed assets,investment in education has a larger role in promoting economic development,which is more obvious in the underdeveloped central and western regions and rural areas.However,at the same time it needs to note that the positive effects of education investment will be restricted by the economic structure and policy environment,and education expenditure policies should also be implemented in accordance with time and local conditions. 展开更多
关键词 Education investment Fixed asset investment Regional economic development multiple linear regression analysis
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中国8省市50岁及以上人群卫生保健服务满意度与生活质量的关联研究
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作者 顾瑞龙 郭雁飞 +5 位作者 阮晔 孙双圆 董俣君 蒋安丽 吴凡 施燕 《中国卫生资源》 CSCD 北大核心 2023年第1期97-104,共8页
目的探讨50岁及以上人群卫生保健服务满意度和生活质量之间的关系。方法利用世界卫生组织(World Health Organization,WHO)全球老龄化与成人健康研究中国项目基线调查资料,选取我国8个省/直辖市15050名50岁及以上的中老年人,使用全球老... 目的探讨50岁及以上人群卫生保健服务满意度和生活质量之间的关系。方法利用世界卫生组织(World Health Organization,WHO)全球老龄化与成人健康研究中国项目基线调查资料,选取我国8个省/直辖市15050名50岁及以上的中老年人,使用全球老龄化与成人健康研究问卷和WHO生活质量量表8项简化版评估卫生保健服务满意度和生活质量,并获取社会人口学及慢性病患病情况等信息,使用多元线性回归模型分析两者之间的关系并按居住地、性别和年龄组进行分层分析。结果研究共纳入研究对象13408人,平均年龄为(63.86±10.24)岁,对本市(区)提供的卫生保健服务感到非常满意的占4.16%,感到满意的占58.90%,感到一般的占30.81%,感到不满意的占5.69%,感到非常不满意的占0.44%。研究对象生活质量得分为(40.25±15.56)分,多元线性回归分析显示研究对象的卫生保健服务满意度越高,生活质量越好(P<0.001)。在分层分析中,该关联在不同居住地区、不同性别以及不同年龄组中均有统计学意义(P<0.001)。结论50岁及以上的人群中,较高的卫生保健服务满意度和较高的生活质量相关。 展开更多
关键词 中老年人quinquagenaria 卫生保健服务healthcare service 满意度satisfaction 生活质量quality of life 关联分析analysis of association 分层分析stratification analysis 多元线性回归分析multiple linear regression analysis
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Experimental Study on Anchoring Physical Properties of Different Anchoring Lengths Coupled with Temperature and Pressure
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作者 Jiaqi Wang Zhishu Yao +1 位作者 Xiaohu Liu Hui Li 《Open Journal of Civil Engineering》 CAS 2023年第1期181-191,共11页
Aiming at deep roadway anchorage solids, laboratory similar model tests were used to reveal the mechanical properties of anchorage solids with different anchorage lengths under the coupling effect of temperature and p... Aiming at deep roadway anchorage solids, laboratory similar model tests were used to reveal the mechanical properties of anchorage solids with different anchorage lengths under the coupling effect of temperature and pressure, and SPSS statistical analysis software was used to conduct linear regression analysis of the ultimate anchorage force obtained from the tests. The results show that: through multiple linear regression analysis, the influence degree of temperature and pressure coupling on the ultimate anchorage force is arranged in order of anchoring length > surrounding rock strength > temperature > side pressure coefficient, and the linear regression equation of the model is obtained. Compared with the linear regression equation of simulation results, the model has a high explanatory ability. 展开更多
关键词 Temperature-Pressure Coupling Similar Model Test Ultimate Anchorage Force multiple linear regression analysis
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Effects of Tidal Channels and Roads on Landscape Dynamic Distribution in the Yellow River Delta, China 被引量:2
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作者 YU Xiaojuan ZHANG Zhongsheng +2 位作者 XUE Zhenshan WU Haitao ZHANG Hongri 《Chinese Geographical Science》 SCIE CSCD 2020年第1期170-179,共10页
Landscape characters in estuarine regions generally controlled by tidal regimes and human activities like road construction.In this work,tidal channels and road construction in the Yellow River Delta(YRD)were extracte... Landscape characters in estuarine regions generally controlled by tidal regimes and human activities like road construction.In this work,tidal channels and road construction in the Yellow River Delta(YRD)were extracted by visual interpretation methods so as to decipher impacts of tidal channel development and road construction on landscape patch change during 1989–2016.Spatial distribution history of three wetlands,which covered by Phragmites australis(freshwater marsh,FM),Suaeda salsa(salt marsh,SM),and mudflats(MD)were also established.Results indicated that tidal channel,number,frequency,and fractal dimension were all the maximum in 2003,and the minimum in 1998,respectively.Road length,number,and density showed increasing trend during 1989–2016.MD were the predominant landscape type,followed by FM and SM during 1989-2016.Principal component analysis implied two extracted factors,F1 and F2,which could represent 91.93% of the total variations.F1 mainly proxied tidal channel development,while F2 represented road construction.A multiple linear regression analysis showed positive effects of both F1 and F2 on FM patch numbers and negative impacts on SM patch areaes with R^2 values of 0.416 and 0.599,respectively.Tidal channels were negatively related to MD patch numbers,while roads were positively related to that.In any case,road construction showed larger impacts on landscape type shifting than that of tidal channel development in the YRD. 展开更多
关键词 tidal channel development road construction principal component analysis multiple linear regression analysis the Yellow River Delta
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Spatiotemporal Characteristics of Wetlands Ecosystem in the Niger Delta Region 被引量:1
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作者 Wali Elekwachi Philip O. Phil-Eze +2 位作者 Etiese A. Etuk Collins H. Wizor Chinedu J. Onyishi 《Journal of Geoscience and Environment Protection》 2021年第12期244-264,共21页
Wetlands are classified as essential and valuable components of the ecosystem. Wetlands are significant for ecosystem services such as nutrient cycles, soil formation and water treatment. Nearly half of the world’s w... Wetlands are classified as essential and valuable components of the ecosystem. Wetlands are significant for ecosystem services such as nutrient cycles, soil formation and water treatment. Nearly half of the world’s wetlands have vanished in the last century because of anthropogenic activities, agricultural land use, and urban development, one of such places that are faced with the challenges of sustainability is the wetland habitats. This study aimed at assessing the spatial temporal characteristics of wetlands ecosystem in the Niger Delta Region of Nigeria from 1986-2016. The secondary data include raw satellite imageries obtained from the archive of the United States Geological Survey and Earth Explorer. The data set includes a notable period of four years landsat images for, 1986, 1996, 2006 and 2016. The maps were projected using Universal Transverse Mercator (UTM) projection system and datum WGS 84 of zone 32. Satellite images of the study area were acquired from the United States Geological Survey (USGS). The USGS uses the LandSat5 Thematic Mapper (TM) Landsat7 Thematic Mapper, Enhanced Thematic Mapper (ETM+), Thermal Infrared Sensor (TIRS) and Landsa8 Operational Land Imager (OLI) to generate high resolution images that are useful for this type of study. The satellite imageries were also analyzed using GIS and Remote Sensing techniques by computing of Normalized Differential Vegetation Index (NDVI) values for the entire study area by conversion of spectral reflectance values into NDVI values.<span> The satellite images covering the area were acquired and analyzed using ArcGIS10.6. A total area of 25</span></span><span style="font-family:"">,</span><span style="font-family:"">053.93</span><span style="font-family:""> (km<sup>2</sup>)<span> was delineated in the study area. After processing the imagery, five land use/land cover (LULC) classes were developed in ArcGIS environment, such as </span>Built-up area, Fallow land, Vegetation, Wetland and Waterbody.</span><span style="font-family:""> </span><span style="font-family:"">This study concludes that changes in wetland landscape patterns will produce profound impacts in urban areas where there<span style="color:red;"> </span>are rapid anthropogenic activities. Anova table showed a huge significant relationship between time and vegetation decrease across the study area at 0.027 which is less than 0.05 significance level. Wetlands warming and drying will cause the shrinking and reduction of wetland in sizes from accelerated wetland degradation. Therefore, there is an interaction and mutual influence between dynamic changes of wetland landscape patterns and other land use classes. 展开更多
关键词 WETLAND ECOSYSTEM Land Cover multiple linear regression analysis GIS Remote Sensing
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