作者机构：
[Zhu, Heli; Wang, Di; Dong, Jing; Wu, Yijin; Li, Chang; Jiang, Chang] Cent China Normal Univ, Key Lab Geog Proc Analysing & Modelling, 152 Luoyu Rd, Wuhan 430079, Peoples R China.;[Zhu, Heli; Wang, Di; Dong, Jing; Wu, Yijin; Li, Chang; Jiang, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, 152 Luoyu Rd, Wuhan 430079, Peoples R China.;[Ye, Xinyue] New Jersey Inst Technol, Dept Informat, Newark, NJ USA.
通讯机构：
[Li, Chang] C;Cent China Normal Univ, Key Lab Geog Proc Analysing & Modelling, 152 Luoyu Rd, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, 152 Luoyu Rd, Wuhan 430079, Peoples R China.
摘要：
In this paper, the annually average Defense Meteorological Satellite Program-Operational Linescan System (DMSP/OLS) night-time light data is first proposed as a surrogate indicator to mine and forecast the average housing prices in the inland capital cities of China. First, based on the time-series analysis of individual cities, five regression models with gross error elimination are established between average night-time light intensity (ANLI) and average commercial residential housing price (ACRHP) adjusted by annual inflation rate or not from 2002 to 2013. Next, an optimal model is selected for predicting the ACRHPs in 2014 of these capital cities, and then verified by the interval estimation and corresponding official statistics. Finally, experimental results show that the quadratic polynomial regression is the optimal mining model for estimating the ACRHP without adjustments in most provincial capitals and the predicted ACRHP of these cities are almost in their interval estimations except for the overrated Chengdu and the underestimated Wuhan, while the adjusted ACRHP is all in prediction interval. Overall, this paper not only provides a novel insight into time-series ACRHP data mining based on time-series ANLI for capital city scale but also reveals the potentiality and mechanism of the comprehensive ANLI to characterize the complicated ACRHP. Besides, other factors influencing housing prices, such as the time-series lags of government policy, are tested and analysed in this paper.
作者机构：
[吴宜进; 赵行双; 奚悦; 李畅] Key Laboratory for Geographical Process Analysis & Simulation, Wuhan;430079, China;College of City and Environmental Science, Central China Normal University, Wuhan;[刘慧] Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing;100101, China
通讯机构：
[Li, C.] K;Key Laboratory for Geographical Process Analysis & Simulation, Wuhan, China
期刊：
MATEC Web of Conferences,2019年267:04018-null ISSN：2261-236X
通讯作者：
Yuan, Xuying
作者机构：
[Yuan, Xuying; Guo, Ying; Li, Chuyun; Chen, Qin; Wu, Yijin; Peng, Hongjie] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan 430079, Hubei, Peoples R China.;[Yuan, Xuying; Guo, Ying; Li, Chuyun; Chen, Qin; Wu, Yijin; Peng, Hongjie] Cent China Normal Univ, Urban & Environm Sci Coll, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Yuan, Xuying] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan 430079, Hubei, Peoples R China.;Cent China Normal Univ, Urban & Environm Sci Coll, Wuhan 430079, Hubei, Peoples R China.
会议名称：
2nd AASRI International Conference on Intelligent Systems and Control (ISC)
会议时间：
DEC 27-29, 2018
会议地点：
Lima, PERU
会议主办单位：
[Yuan, Xuying;Li, Chuyun;Chen, Qin;Peng, Hongjie;Guo, Ying;Wu, Yijin] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan 430079, Hubei, Peoples R China.^[Yuan, Xuying;Li, Chuyun;Chen, Qin;Peng, Hongjie;Guo, Ying;Wu, Yijin] Cent China Normal Univ, Urban & Environm Sci Coll, Wuhan 430079, Hubei, Peoples R China.
会议论文集名称：
MATEC Web of Conferences
关键词：
Index system;Environmental quality;Environmental assessment
摘要：
The problems were analyzed about the environmental impact in the construction projects of water conservancy in China. Some relevant data and relevant guidelines were combined with the actual work which were referred to several environmental impact assessment reports. An index system was proposed about environmental impact assessment of ecological improvement project in Xishui River.
关键词：
super hybrid rice;potential productivity;yield gap;EPIC model;Belt and Road Initiative
摘要：
In this study, information is collected on the weather, soils, field management and agricultural statistics in the Bangladesh, India and Myanmar (BIM) region. Crop growth parameters within the EPIC (Environmental Policy Integrated Climate) model are calibrated using cultivar data and regional experimental records of indica hybrid rice Fyou498 and Fengliangyou4 in China. Potential yields of rice are then simulated in the BIM region from 1996 to 2005. The effects of local irrigation and fertilization levels on super hybrid rice yield are examined. The potential yields of Chinese hybrid rice at local irrigation and fertilization levels in 2000 and at full irrigation and rational fertilization levels are found to be 10.22 t/ha and 11.33 t/ha, respectively. The potential for increasing monsoon rice production in the study region is 227.71 million tons. The eastern Indo-Gangetic Plain in India, the southeast coast of India Peninsula and the Ayeyarwady Delta in Myanmar have the largest potentials for monsoon rice production. The northeastern and southwestern areas of the Deccan Plateau and the northwestern region of the Indo-Gangetic Plain need to improve irrigation equipment to meet the water-use requirements of high-yield rice. The central and southern plains in Myanmar and northeastern India need greater access to nitrogen fertilization for high-yield rice.
期刊：
International Journal of Remote Sensing,2018年39(21):7350-7369 ISSN：0143-1161
通讯作者：
Li, Chang
作者机构：
[Li, Chang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.;[Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
通讯机构：
[Li, Chang] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
摘要：
To address the problems of parameter selection and accuracy optimization of models in image rectification, this article first proposes a novel stepwise-then-intelligent algorithm (STIA) for image rectification optimization, which includes the following steps. First, stepwise regression is suggested to simultaneously solve the over-parameterization problem and select the optimum parameters of the polynomial model and rational function model according to different terrains. Second, intelligent algorithms, e.g. the genetic algorithm (GA) and particle swarm optimization (PSO), are proposed to search for better results based on an innovative search range determined by the uncertainty propagation and 3-sigma rule. The experimental results show that the proposed STIA can achieve higher accuracy than conventional methods; and in most cases, the PSO algorithm used in STIA is superior to the GA used in STIA in measures of time and accuracy. Moreover, stepwise-then-PSO algorithm exhibits the best performance of all compared methods, including least squares, stepwise regression, total least squares and partial least squares.
作者机构：
[Wang, Xiaobo; Wang, Shaoqiang; Chen, Jinghua; Cui, Huijuan] Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing;100101, China;University of Chinese Academy of Sciences, Beijing;100049, China;[Wu, Yijin] The College of Urban and Environmental Sciences at Central China Normal University, Wuhan
通讯机构：
[Wang, S.] I;Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China
作者机构：
[Ren, Zhoupeng; Ge, Yong] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.;[Yuan, Yue; Wu, Yijin] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.;[Hu, Shan] Xian Univ Sci & Technol, Coll Surveying & Mapping Sci & Technol, Xian 710054, Shaanxi, Peoples R China.;[Ge, Yong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.;[Ge, Yong] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China.
通讯机构：
[Ge, Yong] C;[Ge, Yong] U;[Ge, Yong] J;Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.;Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
关键词：
Poverty alleviation performance;China's contiguous poverty-stricken regions;Space-time variability;Bayesian hierarchical model
摘要：
China has achieved significant achievements in poverty reduction since the launch of its reform and opening policy in 1978. The rural poor population decreased by nearly 67 million from 2010 to 2012. Analysing and understanding the spatio-temporal variation of poverty alleviation performance in contiguous poverty-stricken regions can provide a reference for Chinese policymakers. In this paper, based on the analytic hierarchy process (AHP), we build an evaluation index system of poverty alleviation performance and then establish a Bayesian spatio-temporal model to explore the space-time variability of poverty alleviation performance in poor areas. The spatial distribution indicates the eastern region's higher performance in poverty alleviation compared to the western region. The spatial-temporal feature shows that the increasing trend of poverty alleviation performance presents a pattern of "high in the central, low in the east-west'' and most poor counties' development of poverty alleviation performance are consistent with overall trend. These findings suggest that the government could pay more attention to the development in the western region and vigorously carry out precise poverty alleviation measures. (C) 2017 Elsevier B.V. All rights reserved.
作者机构：
[Xuying Yuan; Xuanting Long; Wenjia Jin; Yijin Wu; Qionglong Shen] Key Laboratory for Geographical Process Analysis & Simulation, Hubei Province, Central China Normal University;[Xuying Yuan; Xuanting Long; Wenjia Jin; Yijin Wu; Qionglong Shen] Urban and Environment Science College, Central China Normal University;[Xuying Yuan; Xuanting Long; Wenjia Jin; Yijin Wu; Qionglong Shen] Xishui Planning Burea
会议名称：
2017 6th International Conference on Applied Social Science (ICASS 2017)
会议时间：
2017-05-07
会议地点：
新加坡新加坡
摘要：
With the destruction of natural wetlands and the deepening of the concept of sustainable development, the development on the eco-tourism of wetland parks is increasing; the evaluation of eco-tourism r
期刊：
International Journal of Remote Sensing,2017年38(11):3430-3444 ISSN：0143-1161
通讯作者：
Li, Chang
作者机构：
[Zheng, Yanping; Wu, Yijin; Li, Chang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Hubei, Peoples R China.;[Zheng, Yanping; Wu, Yijin; Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Hubei, Peoples R China.
通讯机构：
[Li, Chang] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Hubei, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Hubei, Peoples R China.
作者机构：
[Zhu, Yujia; Li, Guie; Wu, Yijin; Li, Chang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.;[Ge, Yong] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.;[Kung, Hsiang-te] Univ Memphis, Dept Earth Sci, Memphis, TN 38152 USA.
通讯机构：
[Wu, Yijin] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
关键词：
DMSP/OLS nighttime light data;Likelihood-based spatial statistical transformation model (LBSSTM);Time series analysis;Prediction;ESDA;Spatial cross correlation
摘要：
In a regional economy, the central city of a metropolitan area has a radiative effect and an accumulative effect on its surrounding cities. Considering the limitations of traditional data sources (e.g., its subjectivity) and the advantages of nighttime light data, including its objectivity, availability and cyclicity, this paper proposes a likelihood spatial statistical transformation model (LBSSTM) to invert for the gross domestic product (GDP) of the surrounding cities, using time series of Sum of Lights (SOL) data covering the central city and taking advantage of the economic and spatial association between the central city and the surrounding cities within a metropolitan area and the correlation between SOL and GDP. The Wuhan Metropolitan Area is chosen to verify the model using time series analysis and exploratory spatial data analysis (ESDA). The experimental results show the feasibility of the proposed LBSSTM. The prediction accuracy of our model is verified by cross-validation using data from 1998, 2004 and 2011, based on the 3 sigma rule. This model can quantitatively express the agglomeration and diffusion effect of the central city and reveal the spatial pattern of this effect. The results of this work are potentially useful in making spatiotemporal economic projections and filling in missing data from some regions, as well as gaining a deeper quantitative and spatio-temporal understanding of the laws underlying regional economic development. (C) 2017 Elsevier B.V. All rights reserved.
作者：
Li, C.;Zhu, Y. J.;Li, G. E.;Zhu, Y. Q.;Li, R. H.;...
期刊：
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives,2016年41(B8):947-951 ISSN：1682-1750
通讯作者：
Wu, Y. J.
作者机构：
[Li, C.; Wu, Y. J.] Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.;[Li, C.; Zhu, Y. J.; Li, G. E.; Wu, Y. J.] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.;[Li, R. H.; Wang, L.] Changjiang Soil & Water Conservat Monitoring Ctr, Wuhan, Peoples R China.
通讯机构：
[Wu, Y. J.] K;[Wu, Y. J.] C;Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
会议名称：
23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)
会议时间：
JUL 12-19, 2016
会议地点：
Prague, CZECH REPUBLIC
会议主办单位：
[Li, C.;Wu, Y. J.] Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.^[Li, C.;Zhu, Y. J.;Li, G. E.;Wu, Y. J.] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.^[Li, R. H.;Wang, L.] Changjiang Soil & Water Conservat Monitoring Ctr, Wuhan, Peoples R China.
会议论文集名称：
International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
关键词：
Soil and Water Loss;Intensity Estimation;Dynamic Interpretation;Spatial Analysis;Uncertainty;Quality Control
摘要：
Water and soil loss problems are serious in China, especially in the upper and middle reaches of big rivers. This paper dynamically observed water and soil loss in key control regions in Jialing River Basin. Based on remotely sensed images, the method used in this paper is a combination of field investigation and indoor artificial interpretation under the technologies of RS and GIS. The method was proven to be effective of improving the accuracy of interpreting. The result shows the land use types of the researched regions and how they changed among the previous years. Evaluation of water and soil conservation was made. This result can provide references for further policy-making and water and soil loss controlling.
