DONG Guanglong1,2, XU Erqi1, ZHANG Hongqi1,*
|  Bai X, Shi P, Liu Y. 2014. Realizing China’s Urban dream. Nature, 509(1799): 158-160.
 Braimoh A K, Onishi T. 2007. Spatial determinants of urban land use change in Lagos, Nigeria. Land Use Policy, 24(2): 502-515.
 Brunsdon C, Fotheringham A S, Charlton M E. 1996. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity. Geographical Analysis, 28(4): 281-298.
 Chen D R, Truong K. 2012. Using multilevel modeling and geographically weighted regression to identify spatial variations in the relationship between place-level disadvantages and obesity in Taiwan. Applied Geography, 32(2): 737-745.
 Chen Y, Chang K T, Han F, et al. 2016. Investigating urbanization and its spatial determinants in the central districts of Guangzhou, China. Habitat International, 51: 59-69.
 Cheng J, Masser I. 2003. Urban growth pattern modeling: a case study of Wuhan city, PR China. Landscape & Urban Planning, 62(4): 199-217.
 Chow L F, Zhao F, Liu X, et al. 2006. Transit Ridership Model Based on Geographically Weighted Regression. Transportation Research Record Journal of the Transportation Research Board, 1972(1): 105-114.
 Dong G L, Xu E Q, Zhang H Q. 2015. Spatiotemporal variation of driving forces for settlement expansion in different types of counties. Sustainability, 8(1): 39.
 Farber S, Páez A. 2007. A systematic investigation of cross-validation in GWR model estimation: empirical analysis and Monte Carlo simulations. Journal of Geographical Systems, 9(4): 371-396.
 Foody G M. 2003. Geographical weighting as a further refinement to regression modelling: An example focused on the NDVI-rainfall relationship. Remote Sensing of Environment, 88(3): 283-293.
 Fotheringham A S. 2001. Spatial Variations in School Performance: a Local Analysis Using Geographically Weighted Regression. Geographical & Environmental Modelling, 5(1): 43-66.
 Fotheringham A S, Crespo R, Yao J. 2015. Geographical and Temporal Weighted Regression (GTWR). Geographical Analysis, 47(4): 431- 452.
 Gao B, Huang Q, He C, et al. 2016. How does sprawl differ across cities in China? A multi-scale investigation using nighttime light and census data. Landscape & Urban Planning, 148(41): 89-98.
 Gao J, Li S. 2011. Detecting spatially non-stationary and scale-dependent relationships between urban landscape fragmentation and related factors using Geographically Weighted Regression. Applied Geography, 31(1): 292-302.
 Guo L G, Ma Z M, Zhang L Z. 2008. Comparison of bandwidth selection in application of geographically weighted regression: a case study. Canadian Journal of Forest Research, 38(9): 2526-2534.
 Hadayeghi A, Shalaby A S, Persaud B N. 2010. Development of planning level transportation safety tools using Geographically Weighted Poisson Regression. Accident Analysis & Prevention, 42(2): 676-688.
 Hu J, Wang Y, Ying Q, et al. 2014. Spatial and temporal variability of PM 2.5, and PM 10, over the North China Plain and the Yangtze River Delta, China. Atmospheric Environment, 95(1): 598-609.
 Hu X, Waller L A, Al-Hamdan M Z, et al. 2013. Estimating ground-level PM 2.5, concentrations in the southeastern U.S. using geographically weighted regression. Environmental Research, 121(2): 1-10.
 Huang B, Wu B, Barry M. 2010. Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices. International Journal of Geographical Information Science, 24(3): 383- 401.
 Huang J, Huang Y, Jr R G P, et al. 2015. Geographically weighted regression to measure spatial variations in correlations between water pollution versus land use in a coastal watershed. Ocean & Coastal Management, 103(103): 14-24.
 Ivajnšič D, Kaligarič M, Žiberna I. 2014. Geographically weighted regression of the urban heat island of a small city. Applied Geography, 53(2014): 341-353.
 Kauhl B, Heil J, Hoebe C J, et al. 2015. The Spatial Distribution of Hepatitis C Virus Infections and Associated Determinants—An Application of a Geographically Weighted Poisson Regression for Evidence-Based Screening Interventions in Hotspots. Plos One, 10(9): 1-19.
 Kuang W, Chi W, Lu D, et al. 2014. A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces. Landscape & Urban Planning, 133(132): 121-135.
 Kuang W, Liu J, Dong J, et al. 2016. The rapid and massive urban and industrial land expansions in China between 1990 and 2010: A CLUD-based analysis of their trajectories, patterns, and drivers. Landscape & Urban Planning, 145(145): 21-33.
 Li S, Zhao Z, Miaomiao X, et al. 2010. Investigating spatial non-stationary and scale-dependent relationships between urban surface temperature and environmental factors using geographically weighted regression. Environmental Modelling & Software, 25(12): 1789-1800.
 Li X, Zhou W, Ouyang Z. 2013.Forty years of urban expansion in Beijing: What is the relative importance of physical, socioeconomic, and neighborhood factors?. Applied Geography, 38(1): 1-10.
 Li Z, Wang W, Liu P, et al. 2013. Using Geographically Weighted Poisson Regression for county-level crash modeling in California. Safety Science, 58(10): 89-97.
 Luo J, Wei Y H D. 2009. Modeling spatial variations of urban growth patterns in Chinese cities: The case of Nanjing. Landscape & Urban Planning, 91(2): 51-64.
 Martínezfernández J, Chuvieco E, Koutsias N. 2013. Modelling long-term fire occurrence factors in Spain by accounting for local variations with geographically weighted regression. Natural Hazards & Earth System Sciences, 13(2): 311-327.
 Mckinney M L. 2009. Urbanization, Biodiversity, and Conservation. Bioscience, 52(10): 883-890.
 Mei C L, Wang N, Zhang W X. 2006. Testing the Importance of the Explanatory Variables in a Mixed Geographically Weighted Regression Model. Environment and Planning A, 38(3): 37-40.
 Rodrigues M, Riva J D L, Fotheringham S. 2014. Modeling the spatial variation of the explanatory factors of human-caused wildfires in Spain using geographically weighted logistic regression. Applied Geography, 48(48): 52-63.
 Seto K C, Fragkias M, Güneralp B, et al. 2011. A Meta-Analysis of Global Urban Land Expansion. Plos One, 6(8): e23777.
 Shafizadeh-Moghadam H, Helbich M. 2015. Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai. International Journal of Applied Earth Observation & Geoinformation, 35(35): 187-198.
 Shu B, Zhang H, Li Y, et al. 2014. Spatiotemporal variation analysis of driving forces of urban land spatial expansion using logistic regression: A case study of port towns in Taicang City, China. Habitat International, 43(4): 181-190.
 Song W, Jia H, Huang J, et al. 2014. A satellite-based geographically weighted regression model for regional PM 2.5, estimation over the Pearl River Delta region in China. Remote Sensing of Environment, 154: 1-7.
 Wei S, Pijanowski B C, Tayyebi A. 2015. Urban expansion and its consumption of high-quality farmland in Beijing, China. Ecological Indicators, 54(54): 60-70.
 Su S, Li D, Hu Y, et al. 2014. Spatially non-stationary response of ecosystem service value changes to urbanization in Shanghai, China. Ecological Indicators, 45(5): 332-339.
 Su S, Xiao R, Zhang Y. 2012. Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression. Applied Geography, 32(2): 360-375.
 Su Z, Li X, Zhou W, et al. 2015. Effect of Landscape Pattern on Insect Species Density within Urban Green Spaces in Beijing, China. Plos One, 10(3): e0119276.
 Tu J, Xia Z G. 2009. Examining spatially varying relationships between land use and water quality using geographically weighted regression I: model design and evaluation. Science of the total environment, 407(1): 358-378.
 Wheeler D, Tiefelsdorf M. 2005. Multicollinearity and correlation among local regression coefficients in geographically weighted regression. Journal of Geographical Systems, 7(2): 161-187.
 Wu W, Zhang L. 2013. Comparison of spatial and non-spatial logistic regression models for modeling the occurrence of cloud cover in north-eastern Puerto Rico. Applied Geography, 37(1): 52-62.
 Zhang L, Gove J H, Heath L S. 2005. Spatial residual analysis of six modeling techniques. Ecological Modelling, 186(2): 154-177.
 Zhang Q, Su S. 2016. Determinants of urban expansion and their relative importance: A comparative analysis of 30 major metropolitans in China. Habitat International, 58: 89-107.
 Zhang Z, Su S, Xiao R, et al. 2013. Identifying determinants of urban growth from a multi-scale perspective: A case study of the urban agglomeration around Hangzhou Bay, China. Applied Geography, 45(45): 193-202.
 Zhao S, Zhou D, Zhu C, et al. 2015. Rates and patterns of urban expansion in China’s 32 major cities over the past three decades. Landscape Ecology, 30(8): 1541-1559.
 Zhao W, Zhu X, Sun X, et al. 2015. Water quality changes in response to urban expansion: spatially varying relations and determinants. Environmental Science and Pollution Research, 22(21): 16997-17011.
 Zhen Z, Li F, Liu Z, et al. 2013. Geographically local modeling of occurrence, count, and volume of downwood in Northeast China. Applied Geography, 37(4): 114-126.
|||KUANG Lihua, YE Yingcong, GUO Xi, XIE Wen, ZHAO Xiaomin. Spatiotemporal Variation of Cultivated Land Security and Its Drivers: The Case of Yingtan City, China [J]. Journal of Resources and Ecology, 2021, 12(2): 280-291.|
|||HAN Zhiyong, LI Tao, LIU Ximei. Temporal and Spatial Characteristics and Evolution of China’s Inbound Tourism Carbon Footprint [J]. Journal of Resources and Ecology, 2021, 12(1): 56-67.|
|||Sydney M. GREENFIELD, Aliana C. NORRIS, Joseph P. LAMBERT, Wu liji, Se yongjun, ZHAN Jinqi, MA Bing, LI Deng, SHI Kun, Philip RIORDAN. Ungulate Mortality due to Fencing and Perceptions of Pasture Fences in Part of the Future Qilianshan National Park [J]. Journal of Resources and Ecology, 2021, 12(1): 99-109.|
|||ZHONG Yang, LIN Aiwen, ZHOU Zhigao, HE Lijie, YUAN Moxi. Economic Development Status of the Countries along the Belt and Road and Their Correlations with Population and Carbon Emissions [J]. Journal of Resources and Ecology, 2020, 11(6): 539-548.|
|||WANG Xue, LI Xiubin. Impacts of Land Fragmentation and Cropping System on the Productivity and Efficiency of Grain Producers in the North China Plain: Taking Cangxian County of Hebei Province as an Example [J]. Journal of Resources and Ecology, 2020, 11(6): 580-588.|
|||TAO Hui, GAO Jing, CHEN Kaiqiang. Space Changes in the Rural Tourism Area of Mufu Town, Hubei Province, China [J]. Journal of Resources and Ecology, 2020, 11(6): 633-644.|
|||LIU Xianzhao*. A Comparative Decomposition Analysis of the Factors Driving Energy-related Carbon Emissions from Three Typical Provinces in China: Jiangsu, Henan and Inner Mongolia [J]. Journal of Resources and Ecology, 2020, 11(5): 483-498.|
|||LU Chunxia, LIU Aimin, XIAO Yu, LIU Xiaojie, XIE Gaodi, CHENG Shengkui. Changes in China’s Grain Production Pattern and the Effects of Urbanization and Dietary Structure [J]. Journal of Resources and Ecology, 2020, 11(4): 358-365.|
|||LIANG Yuting, HU Yunfeng, HAN Yueqi. Spatial Distribution and Dynamic Changes in Research Hotspots for Desertification in China based on Big Data from CNKI [J]. Journal of Resources and Ecology, 2019, 10(6): 692-703.|
|||JIN Mingming, XU Zengrang. Characteristics of Agricultural and Livestock Products Trade Flows between China and the “Belt and Road” Initiative Region: From the Perspective of Biocapacity [J]. Journal of Resources and Ecology, 2019, 10(6): 584-597.|
|||ZHOU Yezhi, WANG Juanle, WANG Yi, Elena A. Grigorieva. Estimation of Travel Climate Comfort Degree in the Cross-border Region between China and Russia based on GIS [J]. Journal of Resources and Ecology, 2019, 10(6): 657-666.|
|||ZHANG Wenjing. The Situation with College Express Packaging Waste and Recycling Recommendations—Taking the Graduate School of the Chinese Academy of Social Sciences as an Example [J]. Journal of Resources and Ecology, 2019, 10(5): 530-536.|
|||ZHU He, WANG Jingru, ZHANG Xiyue. Comprehensive Assessment of Sustainable Tourism-oriented Revitalization in a Historic District: A Case Study of Qianmen Area, Beijing, China [J]. Journal of Resources and Ecology, 2019, 10(5): 559-568.|
|||DOU Qun,ZHANG Zhenya. Analysis on Environmental Pollution in China’s Coastal Ecosystem [J]. Journal of Resources and Ecology, 2019, 10(4): 424-431.|
|||TAN Minghong,LI Yuanyuan. Spatial and Temporal Variation of Cropland at the Global Level from 1992 to 2015 [J]. Journal of Resources and Ecology, 2019, 10(3): 235-245.|