Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
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SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where Ryo Inoue is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Flood Risk Perception in an Inherently Flood-Prone Urban Area: Based on a Land Price Analysis in the Arakawa River Downstream Area, Tokyo
Nagami, K., Inoue, R. & Komori, D., 2025 Apr, In: Journal of Disaster Research. 20, 2, p. 222-232 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Modeling spatial variation across data distribution: a Moran eigenvector-based spatially varying quantile regression approach
Peng, Z. & Inoue, R., 2025, (Accepted/In press) In: International Journal of Geographical Information Science.Research output: Contribution to journal › Article › peer-review
Open Access -
Exploring Discrete Spatial Heterogeneity Across Quantiles: A Combination Approach of Generalized Lasso and Conditional Quantile Regression
Inoue, R. & Aoki, K., 2024 Sept, 16th International Conference on Spatial Information Theory, COSIT 2024. Adams, B., Griffin, A. L., Scheider, S. & McKenzie, G. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 12. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 315).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Multiscale Continuous and Discrete Spatial Heterogeneity Analysis: The Development of a Local Model Combining Eigenvector Spatial Filters and Generalized Lasso Penalties
Peng, Z. & Inoue, R., 2024 Apr, In: Geographical Analysis. 56, 2, p. 303-327 25 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Colocations of spatial clusters among different industries
Inoue, R., Shiode, S. & Shiode, N., 2023 Dec, In: Computational Urban Science. 3, 1, 35.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)