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Multicollinearity and correlation among local regression coefficients in geographically weighted regression

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  1. Chuanhua Wei & Chao Liu & Fengyun Gui, 2017. "Geographically weight seemingly unrelated regression (GWSUR): a method for exploring spatio-temporal heterogeneity," Applied Economics, Taylor & Francis Journals, vol. 49(42), pages 4189-4195, September.
  2. Archana Singh & Apoorva Sharma & Gaurav Dubey, 2020. "Big data analytics predicting real estate prices," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 208-219, July.
  3. Richard Shearmur & Philippe Apparicio & Pauline Lizion & Mario Polèse, 2007. "Space, Time, and Local Employment Growth: An Application of Spatial Regression Analysis," Growth and Change, Wiley Blackwell, vol. 38(4), pages 696-722, December.
  4. Dongwoo Kang & Sandy Dall’erba, 2016. "Exploring the spatially varying innovation capacity of the US counties in the framework of Griliches’ knowledge production function: a mixed GWR approach," Journal of Geographical Systems, Springer, vol. 18(2), pages 125-157, April.
  5. Dziauddin, Mohd Faris, 2019. "Estimating land value uplift around light rail transit stations in Greater Kuala Lumpur: An empirical study based on geographically weighted regression (GWR)," Research in Transportation Economics, Elsevier, vol. 74(C), pages 10-20.
  6. Jacopo Canello & Francesco Vidoli, 2020. "Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 653-676, September.
  7. Qianyao Li & Junwu Wang & Judith Callanan & Binbin Lu & Zeng Guo, 2021. "The spatial varying relationship between services of the train network and residential property values in Melbourne, Australia," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 335-354, February.
  8. Cho, Seong-Hoon & Lambert, Dayton M. & Kim, Seung Gyu & Jung, Suhyun, 2009. "Extreme coefficients in Geographically Weighted Regression and their effects on mapping," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49117, Agricultural and Applied Economics Association.
  9. Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi & Dominguez, Alberto, 2012. "Modelling transport and real-estate values interactions in urban systems," Journal of Transport Geography, Elsevier, vol. 24(C), pages 370-382.
  10. Lim, Hyunwoo & Yoo, Eun-Hye & Park, Minyoung, 2018. "Warehouse rental market segmentation using spatial profile regression," Journal of Transport Geography, Elsevier, vol. 73(C), pages 64-74.
  11. Mulley, Corinne & Ma, Liang & Clifton, Geoffrey & Yen, Barbara & Burke, Matthew, 2016. "Residential property value impacts of proximity to transport infrastructure: An investigation of bus rapid transit and heavy rail networks in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 54(C), pages 41-52.
  12. Fiifi Amoako Johnson & Mumuni Abu & Chigozie Edson Utazi, 2019. "Geospatial correlates of early marriage and union formation in Ghana," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-17, October.
  13. Giron Cima, Elizabeth & Freire da Rocha-Junior, Weimar & Angel Uribe-Opazo, Miguel & Henrique Dalposso, Gustavo, 2023. "An Analysis of the Gross Domestic Product of Municipalities: a Spatial Glance into the State of Paraná-Brazil," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 15(2), June.
  14. Wu, Wenjie, 2012. "Spatial variations in amenity values: new evidence from Beijing, China," LSE Research Online Documents on Economics 58536, London School of Economics and Political Science, LSE Library.
  15. Matthew Roorda & Antonio Páez & Catherine Morency & Ruben Mercado & Steven Farber, 2010. "Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach," Transportation, Springer, vol. 37(3), pages 525-548, May.
  16. M. Bárcena & P. Menéndez & M. Palacios & F. Tusell, 2014. "Alleviating the effect of collinearity in geographically weighted regression," Journal of Geographical Systems, Springer, vol. 16(4), pages 441-466, October.
  17. Hyunwoo Lim & Minyoung Park, 2019. "Modeling the Spatial Dimensions of Warehouse Rent Determinants: A Case Study of Seoul Metropolitan Area, South Korea," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
  18. Yuxin He & Yang Zhao & Kwok Leung Tsui, 2021. "An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership," Transportation, Springer, vol. 48(3), pages 1185-1216, June.
  19. Carla Shoff & Tse-Chuan Yang, 2012. "Spatially varying predictors of teenage birth rates among counties in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(14), pages 377-418.
  20. Paul Harris & Bruno Lanfranco & Binbin Lu & Alexis Comber, 2020. "Influence of Geographical Effects in Hedonic Pricing Models for Grass-Fed Cattle in Uruguay," Agriculture, MDPI, vol. 10(7), pages 1-17, July.
  21. Chih-Hao Wang & Na Chen, 2021. "A multi-objective optimization approach to balancing economic efficiency and equity in accessibility to multi-use paths," Transportation, Springer, vol. 48(4), pages 1967-1986, August.
  22. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
  23. Jiao, Xiaoying & Li, Gang & Chen, Jason Li, 2020. "Forecasting international tourism demand: a local spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 83(C).
  24. Chris Jacobs-Crisioni & Piet Rietveld & Eric Koomen & Emmanouil Tranos, 2014. "Evaluating the Impact of Land-Use Density and Mix on Spatiotemporal Urban Activity Patterns: An Exploratory Study Using Mobile Phone Data," Environment and Planning A, , vol. 46(11), pages 2769-2785, November.
  25. Luca Salvati, 2022. "Endogenous Population Dynamics and Metropolitan Cycles: Long-Term Evidence from Athens, an Eternally Mediterranean City," European Journal of Population, Springer;European Association for Population Studies, vol. 38(5), pages 835-860, December.
  26. Chia-Hsien Lin & Tzai-Hung Wen, 2011. "Using Geographically Weighted Regression (GWR) to Explore Spatial Varying Relationships of Immature Mosquitoes and Human Densities with the Incidence of Dengue," IJERPH, MDPI, vol. 8(7), pages 1-18, July.
  27. Daniel A Griffith, 2008. "Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)," Environment and Planning A, , vol. 40(11), pages 2751-2769, November.
  28. Xindong He & Xianmin Mai & Guoqiang Shen, 2020. "Poverty and Physical Geographic Factors: An Empirical Analysis of Sichuan Province Using the GWR Model," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
  29. Marcus Adolphson, 2008. "New urban settlements in a perspective of public and private interests. Case study: a Swedish municipality within the hinterland of the Stockholm city," Journal of Geographical Systems, Springer, vol. 10(4), pages 345-367, December.
  30. Stephen Matthews & Tse-Chuan Yang, 2012. "Mapping the results of local statistics," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(6), pages 151-166.
  31. repec:rre:publsh:v:51:y:2021:i:2 is not listed on IDEAS
  32. Michalis Doumpos & Dimitrios Papastamos & Dimitrios Andritsos & Constantin Zopounidis, 2021. "Developing automated valuation models for estimating property values: a comparison of global and locally weighted approaches," Annals of Operations Research, Springer, vol. 306(1), pages 415-433, November.
  33. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
  34. Jacob Macdonald & Sofia Franco, 2015. "The Effects of Tangible Immovable Cultural Heritage on Residential Property Values: Evidence from Lisbon, Portugal," ERSA conference papers ersa15p657, European Regional Science Association.
  35. Alexis Comber & Khanh Chi & Man Q Huy & Quan Nguyen & Binbin Lu & Hoang H Phe & Paul Harris, 2020. "Distance metric choice can both reduce and induce collinearity in geographically weighted regression," Environment and Planning B, , vol. 47(3), pages 489-507, March.
  36. Liukuan Zhang & Xiaoxiao Shi & Qing Chang, 2022. "Exploring Adaptive UHI Mitigation Solutions by Spatial Heterogeneity of Land Surface Temperature and Its Relationship to Urban Morphology in Historical Downtown Blocks, Beijing," Land, MDPI, vol. 11(4), pages 1-24, April.
  37. Stamatis Kalogirou, 2011. "Testing local versions of correlation coefficients," ERSA conference papers ersa10p529, European Regional Science Association.
  38. Mehmet Burak Kaya & Onur Alisan & Alican Karaer & Eren Erman Ozguven, 2024. "Assessing Tornado Impacts in the State of Kentucky with a Focus on Demographics and Roadways Using a GIS-Based Approach," Sustainability, MDPI, vol. 16(3), pages 1-27, January.
  39. Cem Ertur & Julie Le Gallo, 2008. "Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches," Working Papers hal-00463274, HAL.
  40. Maria J. Barcena & Patricia Mendez & Maria B. Palacios & Fernando Tusell, 2013. "Measuring the effect of the real estate bubble: a house price index for Bilbao," Chapters from NBP Conference Publications, in: Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski (ed.), Papers presented during the Narodowy Bank Polski Workshop: Recent trends in the real estate market and its analysis, 2013, chapter 15, pages 127-156, Narodowy Bank Polski.
  41. David C Wheeler, 2009. "Simultaneous Coefficient Penalization and Model Selection in Geographically Weighted Regression: The Geographically Weighted Lasso," Environment and Planning A, , vol. 41(3), pages 722-742, March.
  42. Rojas, Carolina & Páez, Antonio & Barbosa, Olga & Carrasco, Juan, 2016. "Accessibility to urban green spaces in Chilean cities using adaptive thresholds," Journal of Transport Geography, Elsevier, vol. 57(C), pages 227-240.
  43. Kristoffer B. Birkeland & Allan D. D'Silva & Roland Füss & Are Oust, 2021. "The Predictability of House Prices: "Human Against Machine"," International Real Estate Review, Global Social Science Institute, vol. 24(2), pages 139-183.
  44. Dean Hanink & Robert Cromley & Avraham Ebenstein, 2012. "Wage-based evidence of returns to external scale in China’s manufacturing: a spatial analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 1-16, August.
  45. Alexis Comber & Paul Harris, 2018. "Geographically weighted elastic net logistic regression," Journal of Geographical Systems, Springer, vol. 20(4), pages 317-341, October.
  46. Sven Müller, 2012. "Identifying spatial nonstationarity in German regional firm start-up data," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 113-132, September.
  47. Ibeas, Ángel & Cordera, Ruben & dell'Olio, Luigi & Moura, Jose Luis, 2011. "Modelling demand in restricted parking zones," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 485-498, July.
  48. Franco, Sofia F. & Macdonald, Jacob L., 2018. "The effects of cultural heritage on residential property values: Evidence from Lisbon, Portugal," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 35-56.
  49. Mendieta, Rodrigo & Ontaneda, Diego & Pontarollo, Nicola, 2019. "Canton growth in Ecuador and the role of spatial heterogeneity," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
  50. Jose Eduardo Berrios Lugo, 2017. "Entrepreneurial Characteristics: Determinants Of Potential Entrepreneurial Activity? (Caracteristicas Emprendedoras: ¿Potenciales Determinantes De La Actividad Emprendedora?)," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, vol. 10(6), pages 1-15.
  51. Selima Sultana & Nastaran Pourebrahim & Hyojin Kim, 2018. "Household Energy Expenditures in North Carolina: A Geographically Weighted Regression Approach," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
  52. Tsimpanos, Apostolos & Tsimbos, Cleon & Kalogirou, Stamatis, 2018. "Assessing spatial variation and heterogeneity of fertility in Greece at local authority level," MPRA Paper 100406, University Library of Munich, Germany.
  53. Rabin Chakrabortty & Subodh Chandra Pal & Mehebub Sahana & Ayan Mondal & Jie Dou & Binh Thai Pham & Ali P. Yunus, 2020. "Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1259-1294, November.
  54. A. Stewart Fotheringham & Taylor M. Oshan, 2016. "Geographically weighted regression and multicollinearity: dispelling the myth," Journal of Geographical Systems, Springer, vol. 18(4), pages 303-329, October.
  55. Löchl, Michael & Axhausen, Kay W., 2010. "Modelling hedonic residential rents for land use and transport simulation while considering spatial effects," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 39-63.
  56. Yonghua Zou, 2015. "Re-examining the Neighborhood Distribution of Higher Priced Mortgage Lending: Global versus Local Methods," Growth and Change, Wiley Blackwell, vol. 46(4), pages 654-674, December.
  57. Li, Hengyun & Chen, Jason Li & Li, Gang & Goh, Carey, 2016. "Tourism and regional income inequality: Evidence from China," Annals of Tourism Research, Elsevier, vol. 58(C), pages 81-99.
  58. Zahratu Shabrina & Elsa Arcaute & Michael Batty, 2022. "Airbnb and its potential impact on the London housing market," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 197-221, January.
  59. Rahul Govind & Rabikar Chatterjee & Vikas Mittal, 2018. "Segmentation of Spatially Dependent Geographical Units: Model and Application," Management Science, INFORMS, vol. 64(4), pages 1941-1956, April.
  60. Yasin Sunak & Reinhard Madlener, 2017. "The impact of wind farms on property values: A locally weighted hedonic pricing model," Papers in Regional Science, Wiley Blackwell, vol. 96(2), pages 423-444, June.
  61. Paliska, Dejan & Drobne, Samo, 2020. "Impact of new motorway on housing prices in rural North-East Slovenia," Journal of Transport Geography, Elsevier, vol. 88(C).
  62. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
  63. María D. Illescas-Manzano & Sergio Martínez-Puertas & Gema M. Marín-Carrillo & María B. Marín-Carrillo, 2023. "Dynamics of agglomeration and competition in the hotel industry: A geographically weighted regression analysis based on an analytical hierarchy process and geographic information systems (GIS) data," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 213-252, March.
  64. Diana Gutiérrez Posada & Fernando Rubiera Morollón & Ana Viñuela, 2018. "Ageing Places in an Ageing Country: The Local Dynamics of the Elderly Population in Spain," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 109(3), pages 332-349, July.
  65. Ciriaci, Daria & Palma, Daniela, 2010. "Geography, environmental efficiency and Italian economic growth: a spatially-adapted Environmental Kuznets Curve," MPRA Paper 22899, University Library of Munich, Germany.
  66. Helbich, Marco & Böcker, Lars & Dijst, Martin, 2014. "Geographic heterogeneity in cycling under various weather conditions: evidence from Greater Rotterdam," Journal of Transport Geography, Elsevier, vol. 38(C), pages 38-47.
  67. Corinne Mulley, 2014. "Accessibility and Residential Land Value Uplift: Identifying Spatial Variations in the Accessibility Impacts of a Bus Transitway," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1707-1724, June.
  68. Antonio Páez & Steven Farber & David Wheeler, 2011. "A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships," Environment and Planning A, , vol. 43(12), pages 2992-3010, December.
  69. Richard Henry Rijnks & Sierdjan Koster & Philip McCann, 2018. "Spatial Heterogeneity in Amenity and Labor Market Migration," International Regional Science Review, , vol. 41(2), pages 183-209, March.
  70. López-Carr, David & Davis, Jason & Jankowska, Marta M. & Grant, Laura & López-Carr, Anna Carla & Clark, Matthew, 2012. "Space versus place in complex human–natural systems: Spatial and multi-level models of tropical land use and cover change (LUCC) in Guatemala," Ecological Modelling, Elsevier, vol. 229(C), pages 64-75.
  71. Christos Agiakloglou & Cleon Tsimbos & Apostolos Tsimpanos, 2019. "Evidence of spurious results along with spatially autocorrelated errors in the context of geographically weighted regression for two independent SAR(1) processes," Empirical Economics, Springer, vol. 57(5), pages 1613-1631, November.
  72. David Wheeler & Lance Waller, 2009. "Comparing spatially varying coefficient models: a case study examining violent crime rates and their relationships to alcohol outlets and illegal drug arrests," Journal of Geographical Systems, Springer, vol. 11(1), pages 1-22, March.
  73. Mühlematter, Dominik J. & Wiedemann, Nina & Xin, Yanan & Raubal, Martin, 2024. "Spatially-aware station based car-sharing demand prediction," Journal of Transport Geography, Elsevier, vol. 114(C).
  74. Hoehun Ha & Wei Tu, 2018. "An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States," IJERPH, MDPI, vol. 15(4), pages 1-16, April.
  75. Cynthia Sin Tian Ho & Mats Wilhelmsson, 2022. "Geographical accessibility to bank branches and its relationship to new firm formation in Sweden via multiscale geographically weighted regression," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(2), pages 191-218, August.
  76. Donghui Wang & Guangqing Chi, 2017. "Different places, different stories: A study of the spatial heterogeneity of county-level fertility in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(16), pages 493-526.
  77. Wrenn, Douglas H. & Sam, Abdoul G., 2014. "Geographically and temporally weighted likelihood regression: Exploring the spatiotemporal determinants of land use change," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 60-74.
  78. Guilin Liu & Domenico M. Doronzo, 2020. "A Novel Approach to Bridging Physical, Cultural, and Socioeconomic Indicators with Spatial Distributions of Agricultural Heritage Systems (AHS) in China," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
  79. Cui, Wencong & Li, Jianyi & Xu, Wangtu & Güneralp, Burak, 2021. "Industrial electricity consumption and economic growth: A spatio-temporal analysis across prefecture-level cities in China from 1999 to 2014," Energy, Elsevier, vol. 222(C).
  80. Anping Chen & Marlon Boarnet & Mark Partridge & Wenjie Wu & Guanpeng Dong, 2014. "Valuing The “Green” Amenities In A Spatial Context," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 569-585, September.
  81. Geniaux, Ghislain & Martinetti, Davide, 2018. "A new method for dealing simultaneously with spatial autocorrelation and spatial heterogeneity in regression models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 74-85.
  82. Diana Gutiérrez-Posada & Fernando Rubiera-Morollon & Ana Viñuela, 2017. "Heterogeneity in the Determinants of Population Growth at the Local Level," International Regional Science Review, , vol. 40(3), pages 211-240, May.
  83. Daniel Acheampong & Tanya Benford, 2020. "Alternative Treatment Of Contribution In Aid Of Construction: The Impact On Investor-Owned Utility Plant Asset Replacement," Accounting & Taxation, The Institute for Business and Finance Research, vol. 12(1), pages 81-96.
  84. Joseph Hiebert & Karen Allen, 2019. "Valuing Environmental Amenities across Space: A Geographically Weighted Regression of Housing Preferences in Greenville County, SC," Land, MDPI, vol. 8(10), pages 1-16, October.
  85. repec:rre:publsh:v:40:y:2010:i:1:p:71-97 is not listed on IDEAS
  86. David C Wheeler, 2007. "Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression," Environment and Planning A, , vol. 39(10), pages 2464-2481, October.
  87. Redfearn, Christian L., 2009. "How informative are average effects? Hedonic regression and amenity capitalization in complex urban housing markets," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 297-306, May.
  88. Daria Ciriaci & Daniela Palma, 2008. "The role of knowledge‐based supply specialisation for competitiveness: A spatial econometric approach," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 453-475, August.
  89. Wenjie Wu & Guanpeng Dong & Wenzhong Zhang, 2017. "The puzzling heterogeneity of amenity capitalization effects on land markets," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 135-153, March.
  90. Oshan, Taylor M., 2022. "Navigating the methodological landscape in spatial analysis: a comment on ‘A Route Map for Successful Applications of Geographically-Weighted Regression’," OSF Preprints rckzj, Center for Open Science.
  91. Chen, Chao & Feng, Tao & Ding, Chuan & Yu, Bin & Yao, Baozhen, 2021. "Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model," Journal of Transport Geography, Elsevier, vol. 96(C).
  92. Boris Kauhl & Werner Maier & Jürgen Schweikart & Andrea Keste & Marita Moskwyn, 2018. "Who is where at risk for Chronic Obstructive Pulmonary Disease? A spatial epidemiological analysis of health insurance claims for COPD in Northeastern Germany," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-18, February.
  93. Zizi GOSCHIN, 2018. "Regional patterns of Romanian emigration. A Geographically Weighted Regression Model," Romanian Journal of Economics, Institute of National Economy, vol. 46(1(55)), pages 60-74, June.
  94. Daisuke Murakami & Morito Tsutsumi, 2015. "Area-to-point parameter estimation with geographically weighted regression," Journal of Geographical Systems, Springer, vol. 17(3), pages 207-225, July.
  95. Haoxuan Ge & Jue Wang, 2023. "Spatial Non-Stationarity Effects of Unhealthy Food Environments and Green Spaces for Type-2 Diabetes in Toronto," Sustainability, MDPI, vol. 15(3), pages 1-25, January.
  96. Dean Hanink & Robert Cromley & Avraham Ebenstein, 2012. "Spatial Variation in the Determinants of House Prices and Apartment Rents in China," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 347-363, August.
  97. Neil Cuthill & Mengqiu Cao & Yuqi Liu & Xing Gao & Yuerong Zhang, 2019. "The Association between Urban Public Transport Infrastructure and Social Equity and Spatial Accessibility within the Urban Environment: An Investigation of Tramlink in London," Sustainability, MDPI, vol. 11(5), pages 1-18, February.
  98. Mauricio Sarrias, 2020. "Random Parameters and Spatial Heterogeneity using Rchoice in R," REGION, European Regional Science Association, vol. 7, pages 1-19.
  99. Guanwei Zhao & Zhitao Li & Yuzhen Shang & Muzhuang Yang, 2022. "How Does the Urban Built Environment Affect Online Car-Hailing Ridership Intensity among Different Scales?," IJERPH, MDPI, vol. 19(9), pages 1-25, April.
  100. Zhou Huang & Ganmin Yin & Xia Peng & Xiao Zhou & Quanhua Dong, 2023. "Quantifying the environmental characteristics influencing the attractiveness of commercial agglomerations with big geo-data," Environment and Planning B, , vol. 50(9), pages 2470-2490, November.
  101. Sheng Li & Yi Jiang & Shuisong Ke & Ke Nie & Chao Wu, 2021. "Understanding the Effects of Influential Factors on Housing Prices by Combining Extreme Gradient Boosting and a Hedonic Price Model (XGBoost-HPM)," Land, MDPI, vol. 10(5), pages 1-15, May.
  102. Ingram, Matthew C. & Marchesini da Costa, Marcelo, 2019. "Political geography of violence: Municipal politics and homicide in Brazil," World Development, Elsevier, vol. 124(C), pages 1-1.
  103. Olaru, Doina & Mulley, Corinne & Smith, Brett & Ma, Liang, 2017. "Policy-led selection of the most appropriate empirical model to estimate hedonic prices in the residential market," Journal of Transport Geography, Elsevier, vol. 62(C), pages 213-228.
  104. Yujiao Chen & Zhengbo Luo, 2022. "Hedonic Pricing of Houses in Megacities Pre- and Post-COVID-19: A Case Study of Shanghai, China," Sustainability, MDPI, vol. 14(17), pages 1-21, September.
  105. Du, Hongbo & Mulley, Corinne, 2012. "Understanding spatial variations in the impact of accessibility on land value using geographically weighted regression," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 46-59.
  106. Bo Pieter Johannes Andree & Francisco Blasques & Eric Koomen, 2017. "Smooth Transition Spatial Autoregressive Models," Tinbergen Institute Discussion Papers 17-050/III, Tinbergen Institute.
  107. Huang, Yuan & Wang, Xiaoguang & Patton, David, 2018. "Examining spatial relationships between crashes and the built environment: A geographically weighted regression approach," Journal of Transport Geography, Elsevier, vol. 69(C), pages 221-233.
  108. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
  109. Daniel Runfola & Ariel BenYishay & Jeffery Tanner & Graeme Buchanan & Jyoteshwar Nagol & Matthias Leu & Seth Goodman & Rachel Trichler & Robert Marty, 2017. "A Top-Down Approach to Estimating Spatially Heterogeneous Impacts of Development Aid on Vegetative Carbon Sequestration," Sustainability, MDPI, vol. 9(3), pages 1-9, March.
  110. Koster, Hans R.A. & van Ommeren, Jos & Rietveld, Piet, 2014. "Estimation of semiparametric sorting models: Explaining geographical concentration of business services," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 14-28.
  111. Liang Wu & Fei Deng & Zhong Xie & Sheng Hu & Shu Shen & Junming Shi & Dan Liu, 2016. "Spatial Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in China Using a Geographically Weighted Logistic Regression Model," IJERPH, MDPI, vol. 13(11), pages 1-16, November.
  112. Ning Wang & Chang-Lin Mei & Xiao-Dong Yan, 2008. "Local Linear Estimation of Spatially Varying Coefficient Models: An Improvement on the Geographically Weighted Regression Technique," Environment and Planning A, , vol. 40(4), pages 986-1005, April.
  113. Feuillet, T. & Commenges, H. & Menai, M. & Salze, P. & Perchoux, C. & Reuillon, R. & Kesse-Guyot, E. & Enaux, C. & Nazare, J.-A. & Hercberg, S. & Simon, C. & Charreire, H. & Oppert, J.M., 2018. "A massive geographically weighted regression model of walking-environment relationships," Journal of Transport Geography, Elsevier, vol. 68(C), pages 118-129.
  114. Chacon-Hurtado, Davis & Kumar, Indraneel & Gkritza, Konstantina & Fricker, Jon D. & Beaulieu, Lionel J., 2020. "The role of transportation accessibility in regional economic resilience," Journal of Transport Geography, Elsevier, vol. 84(C).
  115. Stamatis Kalogirou, 2012. "Testing local versions of correlation coefficients," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(1), pages 45-61, March.
  116. Wang, Chih-Hao & Chen, Na, 2017. "A geographically weighted regression approach to investigating the spatially varied built-environment effects on community opportunity," Journal of Transport Geography, Elsevier, vol. 62(C), pages 136-147.
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