Somayeh Dodge
Dados Biográficos
| ID | 6467536 |
|---|---|
| NOME | Somayeh Dodge |
| PRENOMES | Somayeh |
| SOBRENOME | Dodge |
| ASSINATURA | DODGE S |
| AFILIAÇÕES | University of California, Santa Barbara |
| ORCID | 0000-0003-0335-3576 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 10 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 10 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Movement Research in the Era of Big Data, AI, and Open Science
The increasing availability of movement data and rapid advancements in artificial intelligence have opened new frontiers in movement pattern analysis with implications for a wide range of domains such as urban planning, transportation management, public health, pandemic management, disaster response, and wildlife conservation. The sensitive nature and heterogeneity of novel movement data, however, create technical and methodological challenges ar…
The Guide to the Geographic Approach
Exploring the effects of wildfire events on movement patterns
Locational Decision-Making and Representational Impacts
The field of location analytics has long recognized coverage and accessibility as critical problem characteristics, as reflected in the work of Weber and von Thünen, among others. Attempts to address various associated complications, assumptions, and issues abound, including uncertainty, spatial representation, discrete approximation, and heuristic and exact solution, just to name a few. This article investigates unidentified continuous demand, e…
Spatiotemporal dynamics of ethnoracial diversity and segregation in Los Angeles County
Ethnoracial segregation persists as a pressing issue in American cities. Understanding these issues is crucial for promoting social equity and justice, and planning more inclusive cities. Prior research has predominantly emphasized residential ethnoracial diversity but has often overlooked or inadequately addressed ethnoracial diversity and segregation in individuals' daily activities and places they visit, due in part to data limitations. This s…
Making Space in Geographical Analysis
In this commentary we reflect on the potential and power of geographical analysis, as a set of methods, theoretical approaches, and perspectives, to increase our understanding of how space and place matter for all . We emphasize key aspects of the field, including accessibility, urban change, and spatial interaction and behavior, providing a high‐level research agenda that indicates a variety of gaps and routes for future research that will not o…
Assessing the cognition of movement trajectory visualizations
This paper evaluates cognitively plausible geovisualization techniques for mapping movement data. With the widespread increase in the availability and quality of space-time data capturing movement trajectories of individuals, meaningful representations are needed to properly visualize and communicate trajectory data and complex movement patterns using geographic displays. Many visualization and visual analytics approaches have been proposed to ma…
Vasa
Exploratory data analysis tools designed to measure global and local spatial autocorrelation (e.g. Moran’s I statistic) have become standard in modern GIS software. However, there has been little development in amending these tools for visualization and analysis of patterns captured in spatio-temporal data. We design and implement an exploratory mapping tool, VASA (Visual Analysis for Spatial Association), that streamlines analytical pipelines in…
Ortega
Mapping trajectories and flows
This paper argues for a “human-centered” approach to knowledge discovery from movement data through the use of visualization and mapping. As movement data becomes more available and diverse in dimension and resolution, mapping becomes particularly important in the exploratory analysis of movement trajectories and for capturing patterns and structures in large origin-destination flow data sets. Movement phenomena (e.g. ranging from micro-movements…
Vasa
Exploratory data analysis tools designed to measure global and local spatial autocorrelation (e.g. Moran’s I statistic) have become standard in modern GIS software. However, there has been little development in amending these tools for visualization and analysis of patterns captured in spatio-temporal data. We design and implement an exploratory mapping tool, VASA (Visual Analysis for Spatial Association), that streamlines analytical pipelines in…
Ortega
Mapping trajectories and flows
This paper argues for a “human-centered” approach to knowledge discovery from movement data through the use of visualization and mapping. As movement data becomes more available and diverse in dimension and resolution, mapping becomes particularly important in the exploratory analysis of movement trajectories and for capturing patterns and structures in large origin-destination flow data sets. Movement phenomena (e.g. ranging from micro-movements…
Making Space in Geographical Analysis
In this commentary we reflect on the potential and power of geographical analysis, as a set of methods, theoretical approaches, and perspectives, to increase our understanding of how space and place matter for all . We emphasize key aspects of the field, including accessibility, urban change, and spatial interaction and behavior, providing a high‐level research agenda that indicates a variety of gaps and routes for future research that will not o…
Assessing the cognition of movement trajectory visualizations
This paper evaluates cognitively plausible geovisualization techniques for mapping movement data. With the widespread increase in the availability and quality of space-time data capturing movement trajectories of individuals, meaningful representations are needed to properly visualize and communicate trajectory data and complex movement patterns using geographic displays. Many visualization and visual analytics approaches have been proposed to ma…
Vasa
Exploratory data analysis tools designed to measure global and local spatial autocorrelation (e.g. Moran’s I statistic) have become standard in modern GIS software. However, there has been little development in amending these tools for visualization and analysis of patterns captured in spatio-temporal data. We design and implement an exploratory mapping tool, VASA (Visual Analysis for Spatial Association), that streamlines analytical pipelines in…
Spatiotemporal dynamics of ethnoracial diversity and segregation in Los Angeles County
Ethnoracial segregation persists as a pressing issue in American cities. Understanding these issues is crucial for promoting social equity and justice, and planning more inclusive cities. Prior research has predominantly emphasized residential ethnoracial diversity but has often overlooked or inadequately addressed ethnoracial diversity and segregation in individuals' daily activities and places they visit, due in part to data limitations. This s…
Exploring the effects of wildfire events on movement patterns
Locational Decision-Making and Representational Impacts
The field of location analytics has long recognized coverage and accessibility as critical problem characteristics, as reflected in the work of Weber and von Thünen, among others. Attempts to address various associated complications, assumptions, and issues abound, including uncertainty, spatial representation, discrete approximation, and heuristic and exact solution, just to name a few. This article investigates unidentified continuous demand, e…
Movement Research in the Era of Big Data, AI, and Open Science
The increasing availability of movement data and rapid advancements in artificial intelligence have opened new frontiers in movement pattern analysis with implications for a wide range of domains such as urban planning, transportation management, public health, pandemic management, disaster response, and wildlife conservation. The sensitive nature and heterogeneity of novel movement data, however, create technical and methodological challenges ar…
The Guide to the Geographic Approach
Computer Science (7 obras) · Geography (7 obras) · Data science (5 obras) · Human Mobility and Location-Based Analysis (5 obras) · Cartography (4 obras) · Urban Transport and Accessibility (4 obras) · Artificial Intelligence (3 obras) · Land Use and Ecosystem Services (3 obras) · Visualization (3 obras) · Data mining (2 obras)