Ryo Inoue
Biographic Data
| ID | 6746108 |
|---|---|
| NAME | Ryo Inoue |
| GIVEN NAMES | Ryo |
| FAMILY NAME | Inoue |
| SIGNATURE | INOUE R |
| AFFILIATIONS | Tohoku University |
| ORCID | 0000-0002-0106-9777 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1993 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Multiscale Continuous and Discrete Spatial Heterogeneity Analysis
Two types of spatial heterogeneity can exist simultaneously: continuous variations across an entire space and significant changes that occur only in specific spatial units. Moreover, each of these can act across multiple spatial scales. To effectively detect both continuous and discrete spatial heterogeneity across different scales, this study proposes a novel approach that combines the random effects eigenvector spatially filtering‐based spatial…
Extraction of Continuous and Discrete Spatial Heterogeneities
Geospatial phenomena often have spatial heterogeneity, which is caused by differences in the data generation process from place to place. There are two types of spatial heterogeneity: continuous and discrete, and there has been much discussion about how to analyze one type of spatial heterogeneity. Although geospatial phenomena can have both types of spatial heterogeneities, previous studies have not sufficiently discussed how to consider these t…
Point Event Cluster Detection via the Bayesian Generalized Fused Lasso
Spatial cluster detection is one of the focus areas of spatial analysis, whose objective is the identification of clusters from spatial distributions of point events aggregated in districts with small areas. Choi et al. (2018) formulated cluster detection as a parameter estimation problem to leverage the parameter selection capability of the sparse modeling method called the generalized fused lasso. Although this work is superior to conventional …
Identifying Multiple Scales of Spatial Heterogeneity in Housing Prices Based on Eigenvector Spatial Filtering Approaches
Interest in studying the urban real estate market, especially in investigating the relationship between house prices and related housing characteristics, is rapidly growing. However, this increasing attention is handicapped by a limited consideration of the multi-scale spatial heterogeneity in these relationships. This study uses the rental price data of 72,466 apartments in the Tokyo metropolitan area to examine spatial heterogeneity in the real…
Optimization-Based Construction of Quadrilateral Table Cartograms
A quadrilateral table cartogram is a rectangle-shaped figure that visualizes table-form data; quadrilateral cells in a table cartogram are transformed to express the magnitude of positive weights by their areas, while maintaining the adjacency of cells in the original table. However, the previous construction method is difficult to implement because it consists of multiple operations that do not have a unique solution and require complex settings…
A New Construction Method for Circle Cartograms
An area cartogram is a transformed map on which areas of regions are proportional to statistical data values; it is considered to be a powerful tool for the visual representation of statistical data. A circle cartogram is a type of area cartograms, on which regions are represented by circles. Its first construction algorithm is proposed by Dorling in 1996, based on the following requirements to construct visually elegant cartograms: 1) maintain t…
A New Algorithm for Continuous Area Cartogram Construction with Triangulation of Regions and Restriction on Bearing Changes of Edges
(2006). A New Algorithm for Continuous Area Cartogram Construction with Triangulation of Regions and Restriction on Bearing Changes of Edges. Cartography and Geographic Information Science: Vol. 33, No. 2, pp. 115-125
Process of Initiation Using Dreams
This paper which is based on original field-work carried out between August 1989 and July 1990 in the Province of Adamawa, Cameroon, presents a typology of medicine men. It offers a description of the initiation by way of dreams, a process which I underwent myself. The initiation by way of dreams is discussed from a psychological perspective. I explore the possibility of reframing the prevailing paradigm of psychotherapy by making use of indigeno…
No prominent works on this page.
Process of Initiation Using Dreams
This paper which is based on original field-work carried out between August 1989 and July 1990 in the Province of Adamawa, Cameroon, presents a typology of medicine men. It offers a description of the initiation by way of dreams, a process which I underwent myself. The initiation by way of dreams is discussed from a psychological perspective. I explore the possibility of reframing the prevailing paradigm of psychotherapy by making use of indigeno…
A New Algorithm for Continuous Area Cartogram Construction with Triangulation of Regions and Restriction on Bearing Changes of Edges
(2006). A New Algorithm for Continuous Area Cartogram Construction with Triangulation of Regions and Restriction on Bearing Changes of Edges. Cartography and Geographic Information Science: Vol. 33, No. 2, pp. 115-125
A New Construction Method for Circle Cartograms
An area cartogram is a transformed map on which areas of regions are proportional to statistical data values; it is considered to be a powerful tool for the visual representation of statistical data. A circle cartogram is a type of area cartograms, on which regions are represented by circles. Its first construction algorithm is proposed by Dorling in 1996, based on the following requirements to construct visually elegant cartograms: 1) maintain t…
Optimization-Based Construction of Quadrilateral Table Cartograms
A quadrilateral table cartogram is a rectangle-shaped figure that visualizes table-form data; quadrilateral cells in a table cartogram are transformed to express the magnitude of positive weights by their areas, while maintaining the adjacency of cells in the original table. However, the previous construction method is difficult to implement because it consists of multiple operations that do not have a unique solution and require complex settings…
Extraction of Continuous and Discrete Spatial Heterogeneities
Geospatial phenomena often have spatial heterogeneity, which is caused by differences in the data generation process from place to place. There are two types of spatial heterogeneity: continuous and discrete, and there has been much discussion about how to analyze one type of spatial heterogeneity. Although geospatial phenomena can have both types of spatial heterogeneities, previous studies have not sufficiently discussed how to consider these t…
Point Event Cluster Detection via the Bayesian Generalized Fused Lasso
Spatial cluster detection is one of the focus areas of spatial analysis, whose objective is the identification of clusters from spatial distributions of point events aggregated in districts with small areas. Choi et al. (2018) formulated cluster detection as a parameter estimation problem to leverage the parameter selection capability of the sparse modeling method called the generalized fused lasso. Although this work is superior to conventional …
Identifying Multiple Scales of Spatial Heterogeneity in Housing Prices Based on Eigenvector Spatial Filtering Approaches
Interest in studying the urban real estate market, especially in investigating the relationship between house prices and related housing characteristics, is rapidly growing. However, this increasing attention is handicapped by a limited consideration of the multi-scale spatial heterogeneity in these relationships. This study uses the rental price data of 72,466 apartments in the Tokyo metropolitan area to examine spatial heterogeneity in the real…
Multiscale Continuous and Discrete Spatial Heterogeneity Analysis
Two types of spatial heterogeneity can exist simultaneously: continuous variations across an entire space and significant changes that occur only in specific spatial units. Moreover, each of these can act across multiple spatial scales. To effectively detect both continuous and discrete spatial heterogeneity across different scales, this study proposes a novel approach that combines the random effects eigenvector spatially filtering‐based spatial…
Computer Science (7 works) · Mathematics (7 works) · Algorithm (5 works) · Artificial Intelligence (5 works) · Data mining (4 works) · Spatial and Panel Data Analysis (4 works) · Geometry (3 works) · Housing Market and Economics (3 works) · Spatial dependence (3 works) · Spatial ecology (3 works)