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Spatially Explicit Hyperparameter Optimization for Neural Networks

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Abstract

In the past decades, with the increasing volume of spatial data and development of cutting-edge techniques, several spatial models have been created to investigate complex spatial phenomena and explore spatial process (Goodchild in Geographical Data Modeling 18:401–408, 1992. Longley and Batty in Spatial analysis: Modelling in a GIS environment. Wiley, 1996. Graham in Methods in human geography, 1997. Fotheringham et al. in Quantitative geography: Perspectives on spatial data analysis. Sage, 2000. Miller and Goodchild in GeoJournal 80(4):449–461, 2015).

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Notes

  1. 1.

    “Geographic information science (GIScience), which is the research field that studies the general principles underlying the acquisition, management, processing, analysis, visualization, and storage of geographic data” (page 494) (Goodchild 2003).

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Authors and Affiliations

  1. School of Public Administration and Policy, Renmin University of China, Bei**g, China

    Minrui Zheng

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  1. Minrui Zheng
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Zheng, M. (2021). Introduction. In: Spatially Explicit Hyperparameter Optimization for Neural Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-5399-5_1

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