Scalable Model Selection for Spatial Additive Mixed Modeling: Application to Crime Analysis

A rapid growth in spatial open datasets has led to a huge demand for regression approaches accommodating spatial and non-spatial effects in big data. Regression model selection is particularly important to stably estimate flexible regression models. However, conventional methods can be slow for larg...

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Bibliographic Details
Main Authors: Daisuke Murakami, Mami Kajita, Seiji Kajita
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/9/10/577