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Journal of Business & Economic Statistics Volume 24, 2006 - Issue 1
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Primary Article

Gradients in Spatial Response Surfaces With Application to Urban Land Values

Anandamayee Majumdar Department of Mathematics and Statistics, Arizona State University, Tempe, AZ 85287
,
Henry J Munneke Terry College of Business at the University of Georgia, Athens, GA 30602
,
Alan E Gelfand Institute of Statistics and Decision Sciences, Duke University, Durham, NC 27708
,
Sudipto Banerjee Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455
&
C. F Sirmans Center for Real Estate and Urban Economic Studies, University of Connecticut, Storrs, CT 06269
Pages 77-90 | Published online: 01 Jan 2012

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Aritra Halder, Sudipto Banerjee & Dipak K. Dey. (2023) Bayesian Modeling with Spatial Curvature Processes. Journal of the American Statistical Association 0:0, pages 1-13.
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Lu Wang, Guangxing Wang, Huan Yu & Fei Wang. (2022) Prediction and analysis of residential house price using a flexible spatiotemporal model. Journal of Applied Economics 25:1, pages 503-522.
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Liangjun Su & Xi Qu. (2017) Specification Test for Spatial Autoregressive Models. Journal of Business & Economic Statistics 35:4, pages 572-584.
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Arnab Bhattacharjee, Liqian Cai & Taps Maiti. (2017) Functional regression over irregular domains: variation in the shadow price of living space. Spatial Economic Analysis 12:2-3, pages 182-201.
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Michael Porter. (2010) The Rent Gap at the Metropolitan Scale: New York City's Land-Value Valleys, 1990-2006. Urban Geography 31:3, pages 385-405.
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Anandamayee Majumdar, Jason Kaye, Corinna Gries, Diane Hope & Nancy Grimm. (2008) Hierarchical Spatial Modeling and Prediction of Multiple Soil Nutrients and Carbon Concentrations. Communications in Statistics - Simulation and Computation 37:2, pages 434-453.
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Articles from other publishers (12)

Abhimanyu Gupta & Javier Hidalgo. (2022) NONPARAMETRIC PREDICTION WITH SPATIAL DATA. Econometric Theory, pages 1-39.
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Kuangyu Wen, Ximing Wu & David J. Leatham. (2021) Spatially Smoothed Kernel Densities with Application to Crop Yield Distributions. Journal of Agricultural, Biological and Environmental Statistics 26:3, pages 349-366.
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Alan E. Gelfand. (2020) Statistical challenges in spatial analysis of plant ecology data. Spatial Statistics 37, pages 100418.
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Erin M. Schliep & Alan E. Gelfand. (2019) Velocities for spatio-temporal point patterns. Spatial Statistics 29, pages 204-225.
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Fangpo Wang, Anirban Bhattacharya & Alan E. Gelfand. (2018) Process modeling for slope and aspect with application to elevation data maps. TEST 27:4, pages 749-772.
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Ying Jing, Yaolin Liu, Enxiang Cai, Yi Liu & Yang Zhang. (2018) Quantifying the spatiality of urban leisure venues in Wuhan, Central China – GIS-based spatial pattern metrics. Sustainable Cities and Society 40, pages 638-647.
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Ramon Oller, Joan Carles Martori & Rafa Madariaga. (2017) Monocentricity and Directional Heterogeneity: A Conditional Parametric Approach. Geographical Analysis 49:3, pages 343-361.
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Maria A. Terres & Alan E. Gelfand. (2016) Spatial process gradients and their use in sensitivity analysis for environmental processes. Journal of Statistical Planning and Inference 168, pages 106-119.
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Harrison QuickSudipto BanerjeeBradley P. Carlin. (2015) Bayesian modeling and analysis for gradients in spatiotemporal processes. Biometrics 71:3, pages 575-584.
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Alan E. Gelfand & Sudipto Banerjee. (2015) Bayesian wombling: finding rapid change in spatial maps. Wiley Interdisciplinary Reviews: Computational Statistics 7:5, pages 307-315.
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Maria A. Terres & Alan E. Gelfand. (2015) Using spatial gradient analysis to clarify species distributions with application to South African protea. Journal of Geographical Systems 17:3, pages 227-247.
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Henry J. Munneke, C.F. Sirmans, Barrett A. Slade & Geoffrey K. Turnbull. (2014) Housing Regulation, Externalities and Residential Property Prices. Real Estate Economics 42:2, pages 422-456.
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