activity
20172022
most citedThe GWR route map: a guide to the informed application of Geographically Weighted Regression

36 citations · 44 across the 8 of their papers we have counts for

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5 papers · 1 filter

stat.AP2022

Spatial regression-based transfer learning for prediction problems

Daisuke Murakami, Mami Kajita, Seiji Kajita

Although spatial prediction is widely used for urban and environmental monitoring, its accuracy is often unsatisfactory if only a small number of samples are available in the study…

stat.AP20211 cited

Transformation-based generalized spatial regression using the spmoran package: Case study examples

Daisuke Murakami

This study presents application examples of generalized spatial regression modeling for count data and continuous non-Gaussian data using the spmoran package (version 0.2.2 onward)…

stat.AP20211 cited

Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset

Takahiro Yoshida, Hajime Seya

Employing a large dataset (at most, the order of n = 10^6), this study attempts enhance the literature on the comparison between regression and machine learning (ML)-based rent pri…

stat.AP20201 cited

Scalable model selection for spatial additive mixed modeling: application to crime analysis

Daisuke Murakami, Mami Kajita, Seiji Kajita

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…

stat.AP2020

Spatiotemporal analysis of urban heatwaves using Tukey g-and-h random field models

Daisuke Murakami, Gareth W. Peters, Tomoko Matsui +1

The statistical quantification of temperature processes for the analysis of urban heat island (UHI) effects and local heat-waves is an increasingly important application domain in…