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Bayesian Spatial Regression for Multisource Predictive Mapping

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Encyclopedia of GIS

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Synonyms

Bayesian spatial regression; Pixel-based prediction; Spatial regression

Definition

Georeferenced ground measurements for attributes of interest and a host of remotely sensed variables are coupled within a Bayesian spatial regression model to provide predictions across the domain of interest. As the name suggests, multisource refers to multiple sources of data which share a common coordinate system and can be linked to form sets of regressands or response variables, y(s), and regressors or covariates, x (s ), where the s denotes a known location in \(\mathbb{R}^{2}\)(e.g., easting-northing or latitude-longitude). Interest here is in producing spatially explicit predictions of the response variables using the set of covariates. Typically, the covariates can be measured at any location across the domain of interest and help explain the variation in the set of response variables. Within a multisource setting, covariates commonly include multitemporal spectral components from...

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Author information

Authors and Affiliations

  1. Department of Forestry and Department of Geography, Michigan State University, East Lansing, MI, USA

    Andrew O. Finley

  2. Biostatistics, School of Public Health, The University of Minnesota, A460 Mayo Bldg. MMC303, 420 Delaware Street S.E., 55455, Minneapolis, MN, USA

    Sudipto Banerjee

Authors
  1. Andrew O. Finley
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  2. Sudipto Banerjee
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Editor information

Editors and Affiliations

  1. University of Minnesota, Minneapolis, MN, USA

    Shashi Shekhar

  2. Management Science and Information Systems Department, Rutgers Business School, Rutgers, The State University of New Jersey, Newark, NJ, USA

    Hui Xiong

  3. Department of Management Sciences, Tippie College of Business, University of Iowa, Iowa City, IA, USA

    Xun Zhou

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© 2017 Springer International Publishing AG

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Finley, A.O., Banerjee, S. (2017). Bayesian Spatial Regression for Multisource Predictive Mapping. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_97

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