Assessing the impacts of 1.5 C global warming–simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b) K Frieler, S Lange, F Piontek, CPO Reyer, J Schewe, L Warszawski, ... Geoscientific Model Development, 2017 | 144 | 2017 |

Estimation of gridded population and GDP scenarios with spatially explicit statistical downscaling D Murakami, Y Yamagata Sustainability 11 (7), 2106, 2019 | 58 | 2019 |

Random effects specifications in eigenvector spatial filtering: a simulation study D Murakami, DA Griffith Journal of Geographical Systems 17 (4), 311-331, 2015 | 43 | 2015 |

A Moran coefficient-based mixed effects approach to investigate spatially varying relationships D Murakami, T Yoshida, H Seya, DA Griffith, Y Yamagata Spatial Statistics 19, 68-89, 2017 | 39 | 2017 |

Value of urban views in a bay city: Hedonic analysis with the spatial multilevel additive regression (SMAR) model Y Yamagata, D Murakami, T Yoshida, H Seya, S Kuroda Landscape and Urban Planning 151, 89-102, 2016 | 32 | 2016 |

The importance of scale in spatially varying coefficient modeling D Murakami, B Lu, P Harris, C Brunsdon, M Charlton, T Nakaya, ... Annals of the American Association of Geographers, 2019 | 26 | 2019 |

Eigenvector spatial filtering for large data sets: fixed and random effects approaches D Murakami, DA Griffith Geographical analysis, 2018 | 24 | 2018 |

Participatory sensing data tweets for micro-urban real-time resiliency monitoring and risk management D Murakami, GW Peters, Y Yamagata, T Matsui IEEE Access 4, 347-372, 2016 | 24 | 2016 |

Land price maps of Tokyo metropolitan area M Tsutsumi, A Shimada, D Murakami Procedia-Social and Behavioral Sciences 21, 193-202, 2011 | 20 | 2011 |

Application of LASSO to the eigenvector selection problem in eigenvector‐based spatial filtering H Seya, D Murakami, M Tsutsumi, Y Yamagata Geographical Analysis 47 (3), 284-299, 2015 | 19 | 2015 |

Spatially varying coefficient modeling for large datasets: Eliminating N from spatial regressions D Murakami, DA Griffith Spatial Statistics, 2019 | 15 | 2019 |

A comparison of grid-level residential electricity demand scenarios in Japan for 2050 Y Yamagata, D Murakami, H Seya Applied Energy 158, 255-262, 2015 | 13 | 2015 |

Spatially filtered unconditional quantile regression: Application to a hedonic analysis D Murakami, H Seya Environmetrics, 2019 | 10 | 2019 |

Area-to-point parameter estimation with geographically weighted regression D Murakami, M Tsutsumi Journal of Geographical Systems 17 (3), 207-225, 2015 | 10 | 2015 |

A new areal interpolation method based on spatial statistics D Murakami, M Tsutsumi Procedia-Social and Behavioral Sciences 21, 230-239, 2011 | 10 | 2011 |

spmoran (ver. 0.2.0): An R package for Moran eigenvector-based scalable spatial additive mixed modeling D Murakami ArXiv:1703.04467, 2020 | 9* | 2020 |

Estimating water–food–ecosystem trade-offs for the global negative emission scenario (IPCC-RCP2. 6) Y Yamagata, N Hanasaki, A Ito, T Kinoshita, D Murakami, Q Zhou Sustainability Science 13 (2), 301-313, 2018 | 9 | 2018 |

Energy demand estimation using quasi-real-time people activity data T Yoshida, Y Yamagata, D Murakami Energy Procedia 158, 4172-4177, 2019 | 8 | 2019 |

Electricity self-sufficient community clustering for energy resilience Y Yamagata, D Murakami, K Minami, N Arizumi, S Kuroda, T Tanjo, ... Energies 9 (7), 543, 2016 | 8 | 2016 |

A first step towards resilient graph partitioning for electrical grids N Arizumi, K Minami, T Tanjo, H Maruyama, D Murakami, Y Yamagata 7th International Conference on Information and Automation for …, 2014 | 8 | 2014 |