{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T21:51:42Z","timestamp":1758405102793,"version":"3.40.5"},"reference-count":91,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:00:00Z","timestamp":1659657600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:00:00Z","timestamp":1659657600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Geogr Syst"],"DOI":"10.1007\/s10109-022-00385-7","type":"journal-article","created":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T09:04:52Z","timestamp":1659690292000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Modeling discrete choices with large fine-scale spatial data: opportunities and challenges"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9171-7298","authenticated-orcid":false,"given":"Haoying","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guohui","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,5]]},"reference":[{"issue":"1","key":"385_CR1","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.jeconom.2009.09.007","volume":"156","author":"V Aguirregabiria","year":"2010","unstructured":"Aguirregabiria V, Mira P (2010) Dynamic discrete choice structural models: a survey. J Econom 156(1):38\u201367","journal-title":"J Econom"},{"key":"385_CR2","doi-asserted-by":"crossref","unstructured":"Aji A, Wang F, Vo H, Lee R, Liu Q, Zhang X, Saltz J (2013) Hadoop-gis: a high performance spatial data warehousing system over mapreduce. In: Proceedings of the VLDB Endowment International Conference on Very Large Data Bases, vol 6, pp 1009\u20131020","DOI":"10.14778\/2536222.2536227"},{"issue":"422","key":"385_CR3","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1080\/01621459.1993.10476321","volume":"88","author":"JH Albert","year":"1993","unstructured":"Albert JH, Chib S (1993) Bayesian analysis of binary and polychotomous response data. J Am Stat Assoc 88(422):669\u2013679","journal-title":"J Am Stat Assoc"},{"issue":"1","key":"385_CR4","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1111\/1467-937X.00035","volume":"65","author":"S Altu\u011f","year":"1998","unstructured":"Altu\u011f S, Miller RA (1998) The effect of work experience on female wages and labour supply. Rev Econ Stud 65(1):45\u201385","journal-title":"Rev Econ Stud"},{"key":"385_CR5","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.jocm.2018.07.002","volume":"28","author":"A Alwosheel","year":"2018","unstructured":"Alwosheel A, van Cranenburgh S, Chorus CG (2018) Is your dataset big enough. Sample size requirements when using artificial neural networks for discrete choice analysis. J Choice Model 28:167\u2013182","journal-title":"J Choice Model"},{"issue":"4","key":"385_CR6","first-page":"1483","volume":"19","author":"T Amemiya","year":"1981","unstructured":"Amemiya T (1981) Qualitative response models: a survey. J Econ Lit 19(4):1483\u20131536","journal-title":"J Econ Lit"},{"issue":"2","key":"385_CR7","first-page":"67","volume":"5","author":"L Anselin","year":"1999","unstructured":"Anselin L (1999) The future of spatial analysis in the social sciences. Geogr Inf Sci 5(2):67\u201376","journal-title":"Geogr Inf Sci"},{"issue":"3","key":"385_CR8","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1111\/j.1574-0862.2002.tb00120.x","volume":"27","author":"L Anselin","year":"2002","unstructured":"Anselin L (2002) Under the hood issues in the specification and interpretation of spatial regression models. Agric Econ 27(3):247\u2013267","journal-title":"Agric Econ"},{"issue":"3","key":"385_CR9","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/s12076-011-0065-9","volume":"4","author":"G Arbia","year":"2011","unstructured":"Arbia G, Petrarca F (2011) Effects of MAUP on spatial econometric models. Lett Spat Resour Sci 4(3):173","journal-title":"Lett Spat Resour Sci"},{"issue":"3","key":"385_CR10","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1093\/restud\/rdw012","volume":"83","author":"P Arcidiacono","year":"2016","unstructured":"Arcidiacono P, Bayer P, Blevins JR, Ellickson PB (2016) Estimation of dynamic discrete choice models in continuous time with an application to retail competition. Rev Econ Stud 83(3):889\u2013931","journal-title":"Rev Econ Stud"},{"issue":"1","key":"385_CR11","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1146\/annurev-economics-111809-125038","volume":"3","author":"P Arcidiacono","year":"2011","unstructured":"Arcidiacono P, Ellickson PB (2011) Practical methods for estimation of dynamic discrete choice models. Annu Rev Econ 3(1):363\u2013394","journal-title":"Annu Rev Econ"},{"issue":"6","key":"385_CR12","doi-asserted-by":"publisher","first-page":"1823","DOI":"10.3982\/ECTA7743","volume":"79","author":"P Arcidiacono","year":"2011","unstructured":"Arcidiacono P, Miller RA (2011) Conditional choice probability estimation of dynamic discrete choice models with unobserved heterogeneity. Econometrica 79(6):1823\u20131867","journal-title":"Econometrica"},{"key":"385_CR13","doi-asserted-by":"publisher","DOI":"10.1201\/9780203487808","volume-title":"Hierarchical modeling and analysis for spatial data","author":"S Banerjee","year":"2003","unstructured":"Banerjee S, Carlin BP, Gelfand AE (2003) Hierarchical modeling and analysis for spatial data. Chapman and Hall\/CRC, Boca Raton"},{"issue":"3","key":"385_CR14","doi-asserted-by":"publisher","first-page":"893","DOI":"10.3982\/ECTA10170","volume":"84","author":"P Bayer","year":"2016","unstructured":"Bayer P, McMillan R, Murphy A, Timmins C (2016) A dynamic model of demand for houses and neighborhoods. Econometrica 84(3):893\u2013942","journal-title":"Econometrica"},{"issue":"2","key":"385_CR15","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1111\/j.1461-0248.2009.01422.x","volume":"13","author":"CM Beale","year":"2010","unstructured":"Beale CM, Lennon JJ, Yearsley JM, Brewer MJ, Elston DA (2010) Regression analysis of spatial data. Ecol Lett 13(2):246\u2013264","journal-title":"Ecol Lett"},{"issue":"4","key":"385_CR16","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1177\/002224378201900404","volume":"19","author":"WO Bearden","year":"1982","unstructured":"Bearden WO, Sharma S, Teel JE (1982) Sample size effects on chi square and other statistics used in evaluating causal models. J Mark Res 19(4):425\u2013430","journal-title":"J Mark Res"},{"key":"385_CR17","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-662-05617-2_8","volume-title":"Advances in spatial econometrics","author":"KJ Beron","year":"2004","unstructured":"Beron KJ, Vijverberg WP (2004) Probit in a spatial context: a monte carlo analysis. In: Anselin L, Florax RJ, Rey SJ (eds) Advances in spatial econometrics. Springer, Berlin, pp 169\u2013195"},{"issue":"2","key":"385_CR18","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1111\/j.2517-6161.1974.tb00999.x","volume":"36","author":"J Besag","year":"1974","unstructured":"Besag J (1974) Spatial interaction and the statistical analysis of lattice systems. J Roy Stat Soc: Ser B (Methodol) 36(2):192\u2013225","journal-title":"J Roy Stat Soc: Ser B (Methodol)"},{"issue":"2, 3","key":"385_CR19","first-page":"131","volume":"43","author":"AG Bill\u00e9","year":"2013","unstructured":"Bill\u00e9 AG (2013) Computational issues in the estimation of the spatial probit model: a comparison of various estimators. Rev Reg Stud 43(2, 3):131\u2013154","journal-title":"Rev Reg Stud"},{"issue":"5","key":"385_CR20","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1111\/joes.12333","volume":"33","author":"AG Bill\u00e9","year":"2019","unstructured":"Bill\u00e9 AG, Arbia G (2019) Spatial limited dependent variable models: a review focused on specification, estimation, and health economics applications. J Econ Surv 33(5):1531\u20131554","journal-title":"J Econ Surv"},{"issue":"3","key":"385_CR21","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/0304-4076(93)90049-B","volume":"58","author":"A B\u00f6rsch-Supan","year":"1993","unstructured":"B\u00f6rsch-Supan A, Hajivassiliou VA (1993) Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models. J Econom 58(3):347\u2013368","journal-title":"J Econom"},{"issue":"3\/4","key":"385_CR22","doi-asserted-by":"publisher","first-page":"481","DOI":"10.2307\/2334154","volume":"51","author":"D Brook","year":"1964","unstructured":"Brook D (1964) On the distinction between the conditional probability and the joint probability approaches in the specification of nearest-neighbour systems. Biometrika 51(3\/4):481\u2013483","journal-title":"Biometrika"},{"issue":"4","key":"385_CR23","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1111\/jors.12116","volume":"54","author":"R Calabrese","year":"2014","unstructured":"Calabrese R, Elkink JA (2014) Estimators of binary spatial autoregressive models: a monte carlo study. J Reg Sci 54(4):664\u2013687","journal-title":"J Reg Sci"},{"issue":"1","key":"385_CR24","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1287\/mnsc.2017.2928","volume":"65","author":"KX Chiong","year":"2019","unstructured":"Chiong KX, Shum M (2019) Random projection estimation of discrete-choice models with large choice sets. Manage Sci 65(1):256\u2013271","journal-title":"Manage Sci"},{"issue":"4","key":"385_CR25","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1080\/01441647.2010.533393","volume":"31","author":"C Cirillo","year":"2011","unstructured":"Cirillo C, Xu R (2011) Dynamic discrete choice models for transportation. Transp Rev 31(4):473\u2013494","journal-title":"Transp Rev"},{"key":"385_CR26","unstructured":"Corporation M, Weston S (2020) doParallel: foreach parallel adaptor for the \u2018Parallel\u2019 package. R package version 1.0.16"},{"issue":"5","key":"385_CR27","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1177\/0309133307083294","volume":"31","author":"SJ Dark","year":"2007","unstructured":"Dark SJ, Bram D (2007) The modifiable areal unit problem (MAUP) in physical geography. Prog Phys Geogr 31(5):471\u2013479","journal-title":"Prog Phys Geogr"},{"issue":"2","key":"385_CR28","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s10640-008-9232-x","volume":"43","author":"A De Pinto","year":"2009","unstructured":"De Pinto A, Nelson GC (2009) Land use change with spatially explicit data: a dynamic approach. Environ Resour Econ 43(2):209\u2013229","journal-title":"Environ Resour Econ"},{"issue":"3","key":"385_CR29","first-page":"739","volume":"110","author":"G Dong","year":"2020","unstructured":"Dong G, Ma J, Lee D, Chen M, Pryce G, Chen Y (2020) Developing a locally adaptive spatial multilevel logistic model to analyze ecological effects on health using individual census records. Ann Am Assoc Geogr 110(3):739\u2013757","journal-title":"Ann Am Assoc Geogr"},{"key":"385_CR30","doi-asserted-by":"crossref","unstructured":"Garc\u00eda-Garc\u00eda F, Corral A, Iribarne L, Mavrommatis G, Vassilakopoulos M (2017) A comparison of distributed spatial data management systems for processing distance join queries. In: European Conference on Advances in Databases and Information Systems, pp 214\u2013228. Springer","DOI":"10.1007\/978-3-319-66917-5_15"},{"issue":"5","key":"385_CR31","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1007\/s00477-013-0808-9","volume":"28","author":"P Garc\u00eda-Soid\u00e1n","year":"2014","unstructured":"Garc\u00eda-Soid\u00e1n P, Menezes R, Rubi\u00f1os \u00d3 (2014) Bootstrap approaches for spatial data. Stoch Env Res Risk Assess 28(5):1207\u20131219","journal-title":"Stoch Env Res Risk Assess"},{"issue":"2","key":"385_CR32","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1111\/j.1751-5823.2003.tb00203.x","volume":"71","author":"A Gelman","year":"2003","unstructured":"Gelman A (2003) A bayesian formulation of exploratory data analysis and goodness-of-fit testing. Int Stat Rev 71(2):369\u2013382","journal-title":"Int Stat Rev"},{"key":"385_CR33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01689-9","volume-title":"Computation of multivariate normal and t probabilities","author":"A Genz","year":"2009","unstructured":"Genz A, Bretz F (2009) Computation of multivariate normal and t probabilities, vol 195. Springer Science & Business Media, Berlin"},{"key":"385_CR34","unstructured":"Geweke J (1991) Efficient simulation from the multivariate normal and student-t distributions subject to linear constraints and the evaluation of constraint probabilities. In: Computing science and statistics: proceedings of the 23rd symposium on the interface, vol 571, pp 578. Citeseer"},{"issue":"2","key":"385_CR35","first-page":"114","volume":"3","author":"MF Goodchild","year":"2001","unstructured":"Goodchild MF (2001) Metrics of scale in remote sensing and GIS. Int J Appl Earth Obs Geoinf 3(2):114\u2013120","journal-title":"Int J Appl Earth Obs Geoinf"},{"issue":"3","key":"385_CR36","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1111\/jors.12188","volume":"55","author":"S Halleck Vega","year":"2015","unstructured":"Halleck Vega S, Elhorst JP (2015) The slx model. J Reg Sci 55(3):339\u2013363","journal-title":"J Reg Sci"},{"key":"385_CR37","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1093\/biomet\/57.1.97","volume":"57","author":"WK Hastings","year":"1970","unstructured":"Hastings WK (1970) Monte carlo sampling methods using markov chains and their applications. Biometrika 57:97\u2013109","journal-title":"Biometrika"},{"issue":"6","key":"385_CR38","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1023\/A:1013101931793","volume":"16","author":"G Hay","year":"2001","unstructured":"Hay G, Marceau D, Dube P, Bouchard A (2001) A multiscale framework for landscape analysis: object-specific analysis and upscaling. Landscape Ecol 16(6):471\u2013490","journal-title":"Landscape Ecol"},{"key":"385_CR39","unstructured":"Henningsen A (2021) mvProbit: Multivariate probit models. R package version 0.1-10"},{"issue":"1","key":"385_CR40","first-page":"1593","volume":"15","author":"MD Hoffman","year":"2014","unstructured":"Hoffman MD, Gelman A (2014) The No-U-turn sampler: adaptively setting path lengths in hamiltonian Monte Carlo. J Mach Learn Res 15(1):1593\u20131623","journal-title":"J Mach Learn Res"},{"issue":"3","key":"385_CR41","doi-asserted-by":"publisher","first-page":"497","DOI":"10.2307\/2298122","volume":"60","author":"VJ Hotz","year":"1993","unstructured":"Hotz VJ, Miller RA (1993) Conditional choice probabilities and the estimation of dynamic models. Rev Econ Stud 60(3):497\u2013529","journal-title":"Rev Econ Stud"},{"issue":"2","key":"385_CR42","doi-asserted-by":"publisher","first-page":"265","DOI":"10.2307\/2297981","volume":"61","author":"VJ Hotz","year":"1994","unstructured":"Hotz VJ, Miller RA, Sanders S, Smith J (1994) A simulation estimator for dynamic models of discrete choice. Rev Econ Stud 61(2):265\u2013289","journal-title":"Rev Econ Stud"},{"issue":"6","key":"385_CR43","doi-asserted-by":"publisher","first-page":"1865","DOI":"10.3982\/ECTA5658","volume":"77","author":"S Imai","year":"2009","unstructured":"Imai S, Jain N, Ching A (2009) Bayesian estimation of dynamic discrete choice models. Econometrica 77(6):1865\u20131899","journal-title":"Econometrica"},{"issue":"10","key":"385_CR44","doi-asserted-by":"publisher","first-page":"399","DOI":"10.3390\/ijgi7100399","volume":"7","author":"J Jo","year":"2018","unstructured":"Jo J, Lee K-W (2018) High-performance geospatial big data processing system based on MapReduce. ISPRS Int J Geo Inf 7(10):399","journal-title":"ISPRS Int J Geo Inf"},{"issue":"3","key":"385_CR45","doi-asserted-by":"publisher","first-page":"975","DOI":"10.3982\/ECTA7642","volume":"77","author":"MP Keane","year":"2009","unstructured":"Keane MP, Sauer RM (2009) Classification error in dynamic discrete choice models: implications for female labor supply behavior. Econometrica 77(3):975\u2013991","journal-title":"Econometrica"},{"key":"385_CR46","volume-title":"A solution to the ecological inference problem: reconstructing individual behavior from aggregate data","author":"G King","year":"1997","unstructured":"King G (1997) A solution to the ecological inference problem: reconstructing individual behavior from aggregate data. Princeton University Press, Princeton"},{"issue":"4","key":"385_CR47","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1198\/073500107000000188","volume":"26","author":"T Klier","year":"2008","unstructured":"Klier T, McMillen DP (2008) Clustering of auto supplier plants in the united states: generalized method of moments spatial logit for large samples. J Bus Econ Stat 26(4):460\u2013471","journal-title":"J Bus Econ Stat"},{"key":"385_CR48","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/s00181-020-01856-w","volume":"61","author":"T Krisztin","year":"2020","unstructured":"Krisztin T, Piribauer P (2020) A bayesian spatial autoregressive logit model with an empirical application to European regional FDI flows. Empir Econ 61:231\u2013257","journal-title":"Empir Econ"},{"issue":"1","key":"385_CR49","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1111\/j.1538-4632.2000.tb00413.x","volume":"32","author":"JP LeSage","year":"2000","unstructured":"LeSage JP (2000) Bayesian estimation of limited dependent variable spatial autoregressive models. Geogr Anal 32(1):19\u201335","journal-title":"Geogr Anal"},{"key":"385_CR50","doi-asserted-by":"publisher","DOI":"10.1201\/9781420064254","volume-title":"Introduction to spatial econometrics","author":"JP LeSage","year":"2009","unstructured":"LeSage JP, Pace RK (2009) Introduction to spatial econometrics. CRC Press, Boca Raton"},{"issue":"2","key":"385_CR51","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1111\/1467-9442.00241","volume":"103","author":"CF Manski","year":"2001","unstructured":"Manski CF (2001) Daniel McFadden and the econometric analysis of discrete choice. Scand J Econ 103(2):217\u2013229","journal-title":"Scand J Econ"},{"issue":"4","key":"385_CR52","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1080\/07038992.1999.10874734","volume":"25","author":"DJ Marceau","year":"1999","unstructured":"Marceau DJ (1999) The scale issue in the social and natural sciences. Can J Remote Sens 25(4):347\u2013356","journal-title":"Can J Remote Sens"},{"issue":"4","key":"385_CR53","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1080\/07038992.1999.10874735","volume":"25","author":"DJ Marceau","year":"1999","unstructured":"Marceau DJ, Hay GJ (1999) Remote sensing contributions to the scale issue. Can J Remote Sens 25(4):357\u2013366","journal-title":"Can J Remote Sens"},{"issue":"1","key":"385_CR54","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1080\/03610929308831013","volume":"22","author":"RJ Martin","year":"1992","unstructured":"Martin RJ (1992) Approximations to the determinant term in gaussian maximum likelihood estimation of some spatial models. Commun Stat Theory Methods 22(1):189\u2013205","journal-title":"Commun Stat Theory Methods"},{"key":"385_CR55","unstructured":"Martinetti D, Geniaux G (2016) ProbitSpatial: probit with spatial dependence, SAR and SEM models. R package version 1.0"},{"key":"385_CR56","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.regsciurbeco.2017.02.002","volume":"64","author":"D Martinetti","year":"2017","unstructured":"Martinetti D, Geniaux G (2017) Approximate likelihood estimation of spatial probit models. Reg Sci Urban Econ 64:30\u201345","journal-title":"Reg Sci Urban Econ"},{"issue":"3","key":"385_CR57","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1111\/j.1467-9787.1992.tb00190.x","volume":"32","author":"DP McMillen","year":"1992","unstructured":"McMillen DP (1992) Probit with spatial autocorrelation. J Reg Sci 32(3):335\u2013348","journal-title":"J Reg Sci"},{"key":"385_CR58","unstructured":"McMillen DP (2013) McSpatial: nonparametric spatial data analysis. R package version 2.0"},{"issue":"3","key":"385_CR59","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1214\/aos\/1056562461","volume":"31","author":"RM Neal","year":"2003","unstructured":"Neal RM (2003) Slice sampling. Ann Stat 31(3):705\u2013767","journal-title":"Ann Stat"},{"issue":"1","key":"385_CR60","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1080\/07474938.2011.607089","volume":"31","author":"A Norets","year":"2012","unstructured":"Norets A (2012) Estimation of dynamic discrete choice models using artificial neural network approximations. Econom Rev 31(1):84\u2013106","journal-title":"Econom Rev"},{"issue":"3","key":"385_CR61","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1111\/j.0006-341X.2004.00224.x","volume":"60","author":"SM O\u2019Brien","year":"2004","unstructured":"O\u2019Brien SM, Dunson DB (2004) Bayesian multivariate logistic regression. Biometrics 60(3):739\u2013746","journal-title":"Biometrics"},{"issue":"4","key":"385_CR62","doi-asserted-by":"publisher","first-page":"459","DOI":"10.2307\/622300","volume":"2","author":"S Openshaw","year":"1977","unstructured":"Openshaw S (1977) A geographical solution to scale and aggregation problems in region-building, partitioning and spatial modelling. Trans Inst Br Geogr 2(4):459\u2013472","journal-title":"Trans Inst Br Geogr"},{"issue":"1","key":"385_CR63","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1068\/a160017","volume":"16","author":"S Openshaw","year":"1984","unstructured":"Openshaw S (1984) Ecological fallacies and the analysis of areal census data. Environ Plan A 16(1):17\u201331","journal-title":"Environ Plan A"},{"key":"385_CR64","first-page":"127","volume-title":"Statistical applications in spatial sciences","author":"S Openshaw","year":"1979","unstructured":"Openshaw S, Taylor P (1979) A million or so correlation coefficients: three experiments on the modifiable areal unit problem. In: Wrigley N (ed) Statistical applications in spatial sciences. Pion, London, pp 127\u2013144"},{"issue":"2\u20133","key":"385_CR65","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/S0304-3800(03)00070-X","volume":"164","author":"KP Overmars","year":"2003","unstructured":"Overmars KP, De Koning G, Veldkamp A (2003) Spatial autocorrelation in multi-scale land use models. Ecol Model 164(2\u20133):257\u2013270","journal-title":"Ecol Model"},{"issue":"2","key":"385_CR66","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/S0167-9473(02)00321-3","volume":"45","author":"RK Pace","year":"2004","unstructured":"Pace RK, LeSage JP (2004) Chebyshev approximation of log-determinants of spatial weight matrices. Comput Stat Data Anal 45(2):179\u2013196","journal-title":"Comput Stat Data Anal"},{"issue":"3","key":"385_CR67","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s10109-009-0087-7","volume":"11","author":"RK Pace","year":"2009","unstructured":"Pace RK, LeSage JP (2009) A sampling approach to estimate the log determinant used in spatial likelihood problems. J Geogr Syst 11(3):209\u2013225","journal-title":"J Geogr Syst"},{"key":"385_CR68","doi-asserted-by":"crossref","unstructured":"Pace RK, LeSage JP (2016) Fast simulated maximum likelihood estimation of the spatial probit model capable of handling large samples. In: spatial econometrics qualitative and limited dependent variables. Emerald Group Publishing Limited","DOI":"10.1108\/S0731-905320160000037008"},{"issue":"1","key":"385_CR69","first-page":"107","volume":"25","author":"CJ Paciorek","year":"2010","unstructured":"Paciorek CJ (2010) The importance of scale for spatial-confounding bias and precision of spatial regression estimators. Stat Sci Rev J Inst Math Stat 25(1):107","journal-title":"Stat Sci Rev J Inst Math Stat"},{"issue":"1","key":"385_CR70","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1080\/17421770600661741","volume":"1","author":"J Pinkse","year":"2006","unstructured":"Pinkse J, Slade M, Shen L (2006) Dynamic spatial discrete choice using one-step GMM: an application to mine operating decisions. Spat Econ Anal 1(1):53\u201399","journal-title":"Spat Econ Anal"},{"issue":"1","key":"385_CR71","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/S0304-4076(97)00097-3","volume":"85","author":"J Pinkse","year":"1998","unstructured":"Pinkse J, Slade ME (1998) Contracting in space: an application of spatial statistics to discrete-choice models. J Econom 85(1):125\u2013154","journal-title":"J Econom"},{"issue":"504","key":"385_CR72","doi-asserted-by":"publisher","first-page":"1339","DOI":"10.1080\/01621459.2013.829001","volume":"108","author":"NG Polson","year":"2013","unstructured":"Polson NG, Scott JG, Windle J (2013) Bayesian inference for logistic models using Polya-Gamma latent variables. J Am Stat Assoc 108(504):1339\u20131349","journal-title":"J Am Stat Assoc"},{"key":"385_CR73","volume-title":"Scale in remote sensing and GIS","author":"DA Quattrochi","year":"1997","unstructured":"Quattrochi DA, Goodchild MF (1997) Scale in remote sensing and GIS. CRC Press, Boca Raton"},{"issue":"419","key":"385_CR74","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1080\/01621459.1992.10475289","volume":"87","author":"C Ritter","year":"1992","unstructured":"Ritter C, Tanner MA (1992) Facilitating the Gibbs sampler: the Gibbs stopper and the Griddy-Gibbs sampler. J Am Stat Assoc 87(419):861\u2013868","journal-title":"J Am Stat Assoc"},{"key":"385_CR75","unstructured":"Scott P (2014) Dynamic discrete choice estimation of agricultural land use. Technical report, Toulouse School of Economics, Toulouse, France"},{"issue":"2","key":"385_CR76","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/j.jtrangeo.2010.03.013","volume":"19","author":"IN Sener","year":"2011","unstructured":"Sener IN, Pendyala RM, Bhat CR (2011) Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior. J Transp Geogr 19(2):294\u2013303","journal-title":"J Transp Geogr"},{"issue":"3","key":"385_CR77","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/S0167-9473(00)00018-9","volume":"35","author":"O Smirnov","year":"2001","unstructured":"Smirnov O, Anselin L (2001) Fast maximum likelihood estimation of very large spatial autoregressive models: a characteristic polynomial approach. Comput Stat Data Anal 35(3):301\u2013319","journal-title":"Comput Stat Data Anal"},{"issue":"5","key":"385_CR78","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1016\/j.regsciurbeco.2009.09.004","volume":"40","author":"OA Smirnov","year":"2010","unstructured":"Smirnov OA (2010) Modeling spatial discrete choice. Reg Sci Urban Econ 40(5):292\u2013298","journal-title":"Reg Sci Urban Econ"},{"issue":"4","key":"385_CR79","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1007\/s12061-018-9274-6","volume":"11","author":"J Stillwell","year":"2018","unstructured":"Stillwell J, Daras K, Bell M (2018) Spatial aggregation methods for investigating the MAUP effects in migration analysis. Appl Spat Anal Policy 11(4):693\u2013711","journal-title":"Appl Spat Anal Policy"},{"issue":"13","key":"385_CR80","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.14778\/3007263.3007310","volume":"9","author":"M Tang","year":"2016","unstructured":"Tang M, Yu Y, Malluhi QM, Ouzzani M, Aref WG (2016) Locationspark: a distributed in-memory data management system for big spatial data. Proc VLDB Endow 9(13):1565\u20131568","journal-title":"Proc VLDB Endow"},{"key":"385_CR81","volume-title":"Discrete choice methods with simulation","author":"KE Train","year":"2009","unstructured":"Train KE (2009) Discrete choice methods with simulation. Cambridge University Press, Cambridge"},{"issue":"1\u20132","key":"385_CR82","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1016\/0304-4076(95)01792-5","volume":"76","author":"WP Vijverberg","year":"1997","unstructured":"Vijverberg WP (1997) Monte Carlo evaluation of multivariate normal probabilities. J Econom 76(1\u20132):281\u2013307","journal-title":"J Econom"},{"issue":"4","key":"385_CR83","first-page":"145","volume":"4","author":"CA Vossler","year":"2012","unstructured":"Vossler CA, Doyon M, Rondeau D (2012) Truth in consequentiality: theory and field evidence on discrete choice experiments. Am Econ J: Microecon 4(4):145\u201371","journal-title":"Am Econ J: Microecon"},{"issue":"2","key":"385_CR84","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1017\/age.2019.4","volume":"48","author":"H Wang","year":"2019","unstructured":"Wang H, Ortiz-Bobea A (2019) Market-driven corn monocropping in the US Midwest. Agric Econ Res Rev 48(2):274\u2013296","journal-title":"Agric Econ Res Rev"},{"key":"385_CR85","unstructured":"Wilhelm S, de Matos MG (2015) spatialprobit: Spatial probit models. R package version 0.9-11"},{"key":"385_CR86","unstructured":"Wilhelm S, Manjunath BG (2015) tmvtnorm: truncated multivariate normal and student t distribution. R package version 1.4-10"},{"issue":"1","key":"385_CR87","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1111\/gean.12135","volume":"50","author":"LJ Wolf","year":"2018","unstructured":"Wolf LJ, Anselin L, Arribas-Bel D (2018) Stochastic efficiency of bayesian Markov chain Monte Carlo in spatial econometric models: an empirical comparison of exact sampling methods. Geogr Anal 50(1):97\u2013119","journal-title":"Geogr Anal"},{"issue":"1","key":"385_CR88","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/s10980-019-00937-1","volume":"35","author":"C Xu","year":"2020","unstructured":"Xu C, Zhao S, Liu S (2020) Spatial scaling of multiple landscape features in the conterminous united states. Landscape Ecol 35(1):223\u2013247","journal-title":"Landscape Ecol"},{"issue":"1","key":"385_CR89","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/s10707-018-0330-9","volume":"23","author":"J Yu","year":"2019","unstructured":"Yu J, Zhang Z, Sarwat M (2019) Spatial data management in apache spark: the geospark perspective and beyond. GeoInformatica 23(1):37\u201378","journal-title":"GeoInformatica"},{"key":"385_CR90","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1201\/b16751","volume-title":"Scale in spatial information and analysis","author":"J Zhang","year":"2014","unstructured":"Zhang J, Atkinson P, Goodchild MF (2014) Scale in spatial information and analysis. CRC Press, Boca Raton, pp 3\u20134"},{"issue":"5","key":"385_CR91","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1016\/j.jtrangeo.2008.09.003","volume":"17","author":"BB Zhou","year":"2009","unstructured":"Zhou BB, Kockelman KM (2009) Predicting the distribution of households and employment: a seemingly unrelated regression model with two spatial processes. J Transp Geogr 17(5):369\u2013376","journal-title":"J Transp Geogr"}],"container-title":["Journal of Geographical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10109-022-00385-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10109-022-00385-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10109-022-00385-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T20:24:20Z","timestamp":1727727860000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10109-022-00385-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,5]]},"references-count":91,"alternative-id":["385"],"URL":"https:\/\/doi.org\/10.1007\/s10109-022-00385-7","relation":{},"ISSN":["1435-5930","1435-5949"],"issn-type":[{"type":"print","value":"1435-5930"},{"type":"electronic","value":"1435-5949"}],"subject":[],"published":{"date-parts":[[2022,8,5]]},"assertion":[{"value":"1 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}