D
Daisuke Murakami
Researcher at National Institute for Environmental Studies
Publications - 98
Citations - 1706
Daisuke Murakami is an academic researcher from National Institute for Environmental Studies. The author has contributed to research in topics: Spatial analysis & Spatial dependence. The author has an hindex of 17, co-authored 97 publications receiving 1244 citations. Previous affiliations of Daisuke Murakami include University of Tsukuba.
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Journal ArticleDOI
Assessing the impacts of 1.5 °C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)
Katja Frieler,Stefan Lange,Franziska Piontek,Christopher P. O. Reyer,Jacob Schewe,Lila Warszawski,Fang Zhao,Louise Chini,Sébastien Denvil,Kerry Emanuel,Tobias Geiger,Kate Halladay,George C. Hurtt,Matthias Mengel,Daisuke Murakami,Sebastian Ostberg,Sebastian Ostberg,Alexander Popp,Riccardo Riva,Miodrag Stevanovic,Tatsuo Suzuki,Jan Volkholz,Eleanor J. Burke,Philippe Ciais,Kristie L. Ebi,Tyler D. Eddy,Joshua Elliott,Joshua Elliott,Eric D. Galbraith,Eric D. Galbraith,Simon N. Gosling,Fred F. Hattermann,Thomas Hickler,Jochen Hinkel,Christian Hof,Veronika Huber,Jonas Jägermeyr,Valentina Krysanova,Rafael Marcé,Hannes Müller Schmied,Ioanna Mouratiadou,Ioanna Mouratiadou,Donald C. Pierson,Derek P. Tittensor,Derek P. Tittensor,Robert Vautard,Michelle T. H. van Vliet,Matthias F. Biber,Richard Betts,Benjamin Leon Bodirsky,Delphine Deryng,Steve Frolking,Chris D. Jones,Heike K. Lotze,Hermann Lotze-Campen,Hermann Lotze-Campen,Ritvik Sahajpal,Kirsten Thonicke,Hanqin Tian,Hanqin Tian,Yoshiki Yamagata +60 more
TL;DR: In Paris, France, December 2015, the Conference of the Parties (COP) to the United Nations Framework Concerning on Climate Change (UNFCCC) invited the Inter- governmental Panel on Climate change (IPCC).
Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)
Katja Frieler,Stefan Lange,Franziska Piontek,Christopher P. O. Reyer,Jacob Schewe,Lila Warszawski,Fang Zhao,Louise Chini,Sébastien Denvil,Kerry Emanuel,Tobias Geiger,Kate Halladay,George C. Hurtt,Matthias Mengel,Daisuke Murakami,Sebastian Ostberg,Sebastian Ostberg,Alexander Popp,Riccardo Riva,Miodrag Stevanovic,Tatsuo Suzuki,Jan Volkholz,Eleanor J. Burke,Philippe Ciais,Kristie L. Ebi,Tyler D. Eddy,Joshua Elliott,Joshua Elliott,Eric D. Galbraith,Eric D. Galbraith,Simon N. Gosling,Fred F. Hattermann,Thomas Hickler,Jochen Hinkel,Christian Hof,Veronika Huber,Jonas Jägermeyr,Valentina Krysanova,Rafael Marcé,Hannes Müller Schmied,Ioanna Mouratiadou,Ioanna Mouratiadou,Donald C. Pierson,Derek P. Tittensor,Derek P. Tittensor,Robert Vautard,Michelle T. H. van Vliet,Matthias F. Biber,Richard Betts,Benjamin Leon Bodirsky,Delphine Deryng,Steve Frolking,Chris D. Jones,Heike K. Lotze,Hermann Lotze-Campen,Hermann Lotze-Campen,Ritvik Sahajpal,Kirsten Thonicke,Hanqin Tian,Hanqin Tian,Yoshiki Yamagata +60 more
TL;DR: In Paris, France, December 2015, the Conference of the Parties (COP) to the United Nations Framework Concerning on Climate Change (UNFCCC) invited the Inter- governmental Panel on Climate change (IPCC) as mentioned in this paper.
Journal ArticleDOI
Estimation of Gridded Population and GDP Scenarios with Spatially Explicit Statistical Downscaling
TL;DR: In this article, the authors downscales the population and gross domestic product (GDP) scenarios given under Shared Socioeconomic Pathways (SSPs) into 05-degree grids.
Journal ArticleDOI
Random effects specifications in eigenvector spatial filtering: a simulation study
TL;DR: The main findings of this simulation are that in many cases, parameter estimates of the extended RE-ESF are more accurate than other ESF models; the elimination of the spatial component confounding with explanatory variables results in biased parameter estimates; efficiency of an accuracy maximization-based conventional ESF is comparable to RE- ESF inMany cases.
Journal ArticleDOI
A Moran coefficient-based mixed effects approach to investigate spatially varying relationships
Daisuke Murakami,Takahiro Yoshida,Takahiro Yoshida,Hajime Seya,Daniel A. Griffith,Yoshiki Yamagata +5 more
TL;DR: In this article, a spatially varying coefficient model was developed by extending the random effects eigenvector spatial filtering model, which is defined by a linear combination of the eigenvectors describing the Moran coefficient, and each of its coefficients can have a different degree of spatial smoothness.