フォロー
Daisuke Murakami
Daisuke Murakami
確認したメール アドレス: ism.ac.jp
タイトル
引用先
引用先
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 10 (12), 4321-4345, 2017
3682017
Estimation of gridded population and GDP scenarios with spatially explicit statistical downscaling
D Murakami, Y Yamagata
Sustainability 11 (7), 2106, 2019
1402019
Random effects specifications in eigenvector spatial filtering: a simulation study
D Murakami, DA Griffith
Journal of Geographical Systems 17 (4), 311-331, 2015
762015
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
682017
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
592019
Eigenvector spatial filtering for large data sets: fixed and random effects approaches
D Murakami, DA Griffith
Geographical analysis, 2018
572018
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
492016
Spatially varying coefficient modeling for large datasets: Eliminating N from spatial regressions
D Murakami, DA Griffith
Spatial Statistics, 2019
352019
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
322016
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
322015
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
282018
Mapping building carbon emissions within local climate zones in Shanghai
Y Wu, A Sharifi, P Yang, H Borjigin, D Murakami, Y Yamagata
Energy Procedia 152, 815-822, 2018
262018
Scalable GWR: A linear-time algorithm for large-scale geographically weighted regression with polynomial kernels
D Murakami, N Tsutsumida, T Yoshida, T Nakaya, B Lu
Annals of the American Association of Geographers, 2021
212021
The GWR route map: a guide to the informed application of Geographically Weighted Regression
A Comber, C Brunsdon, M Charlton, G Dong, R Harris, B Lu, Y Lü, ...
arXiv preprint arXiv:2004.06070, 2020
212020
Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis
D Yu, D Murakami, Y Zhang, X Wu, D Li, X Wang, G Li
Transportation Research Part B: Methodological 133, 21-37, 2020
212020
Energy demand estimation using quasi-real-time people activity data
T Yoshida, Y Yamagata, D Murakami
Energy Procedia 158, 4172-4177, 2019
212019
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
212015
Land price maps of Tokyo metropolitan area
M Tsutsumi, A Shimada, D Murakami
Procedia-Social and Behavioral Sciences 21, 193-202, 2011
212011
spmoran (ver. 0.2.0): An R package for Moran eigenvector-based scalable spatial additive mixed modeling
D Murakami
ArXiv:1703.04467, 2020
17*2020
A memory-free spatial additive mixed modeling for big spatial data
D Murakami, DA Griffith
Japanese Journal of Statistics and Data Science 3 (1), 215-241, 2020
162020
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論文 1–20