Abstract
In urban microclimate research, mobile transects are utilized to observe the relationship between atmospheric variables and the urban environment. However, the data sets resulting from mobile measurements are complex: They are spatially dependent, multivariate, and often-times multitemporal. At the same time, the spatial context of each observation - its field of view and area represented - is physically complex and dynamic. These properties make analysis and visualization challenging. We present a prototype visualization framework that assists researchers in the analysis of mobile transect measurements. The system enables users to visualize and explore observations as walls that delineate the transect route on a map. The observed attributes are stacked upon each other within these walls as ribbons to facilitate the qualitative analysis of spatial variability and multivariate correlations. The relationship between observations and spatial context can interactively be explored by moving a slider along the transect route. For each observation on the track, the spatially contextual source area is displayed and linked to a view of the fraction of land cover classes contained within the source area. These qualitative analysis capabilities are complemented by an interactive clustering interface, which allows for the classification of transect segments according to a coherent pattern of multivariate relationships between a user-defined set of observations. The framework was developed by a team comprising both visualization and urban microclimate researchers, and a case study shows its utility for this specialized application.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE Pacific Visualization Symposium |
| Publisher | IEEE Computer Society |
| Pages | 167-174 |
| Number of pages | 8 |
| Volume | 2015-July |
| ISBN (Print) | 9781467368797 |
| DOIs | |
| State | Published - Jul 14 2015 |
| Event | 2015 8th IEEE Pacific Visualization Symposium, PacificVis 2015 - Hangzhou, China Duration: Apr 14 2015 → Apr 17 2015 |
Other
| Other | 2015 8th IEEE Pacific Visualization Symposium, PacificVis 2015 |
|---|---|
| Country | China |
| City | Hangzhou |
| Period | 4/14/15 → 4/17/15 |
Fingerprint
Keywords
- I.3.8 [Computer Graphics]: Applications -
- J.2 [Computer Applications]: Earth and atmospheric sciences -
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Software
Cite this
TraVis - A visualization framework for mobile transect data sets in an urban microclimate context. / Hab, Kathrin; Middel, Ariane; Ruddell, Benjamin L.; Hagen, Hans.
IEEE Pacific Visualization Symposium. Vol. 2015-July IEEE Computer Society, 2015. p. 167-174 7156374.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - TraVis - A visualization framework for mobile transect data sets in an urban microclimate context
AU - Hab, Kathrin
AU - Middel, Ariane
AU - Ruddell, Benjamin L.
AU - Hagen, Hans
PY - 2015/7/14
Y1 - 2015/7/14
N2 - In urban microclimate research, mobile transects are utilized to observe the relationship between atmospheric variables and the urban environment. However, the data sets resulting from mobile measurements are complex: They are spatially dependent, multivariate, and often-times multitemporal. At the same time, the spatial context of each observation - its field of view and area represented - is physically complex and dynamic. These properties make analysis and visualization challenging. We present a prototype visualization framework that assists researchers in the analysis of mobile transect measurements. The system enables users to visualize and explore observations as walls that delineate the transect route on a map. The observed attributes are stacked upon each other within these walls as ribbons to facilitate the qualitative analysis of spatial variability and multivariate correlations. The relationship between observations and spatial context can interactively be explored by moving a slider along the transect route. For each observation on the track, the spatially contextual source area is displayed and linked to a view of the fraction of land cover classes contained within the source area. These qualitative analysis capabilities are complemented by an interactive clustering interface, which allows for the classification of transect segments according to a coherent pattern of multivariate relationships between a user-defined set of observations. The framework was developed by a team comprising both visualization and urban microclimate researchers, and a case study shows its utility for this specialized application.
AB - In urban microclimate research, mobile transects are utilized to observe the relationship between atmospheric variables and the urban environment. However, the data sets resulting from mobile measurements are complex: They are spatially dependent, multivariate, and often-times multitemporal. At the same time, the spatial context of each observation - its field of view and area represented - is physically complex and dynamic. These properties make analysis and visualization challenging. We present a prototype visualization framework that assists researchers in the analysis of mobile transect measurements. The system enables users to visualize and explore observations as walls that delineate the transect route on a map. The observed attributes are stacked upon each other within these walls as ribbons to facilitate the qualitative analysis of spatial variability and multivariate correlations. The relationship between observations and spatial context can interactively be explored by moving a slider along the transect route. For each observation on the track, the spatially contextual source area is displayed and linked to a view of the fraction of land cover classes contained within the source area. These qualitative analysis capabilities are complemented by an interactive clustering interface, which allows for the classification of transect segments according to a coherent pattern of multivariate relationships between a user-defined set of observations. The framework was developed by a team comprising both visualization and urban microclimate researchers, and a case study shows its utility for this specialized application.
KW - I.3.8 [Computer Graphics]: Applications -
KW - J.2 [Computer Applications]: Earth and atmospheric sciences -
UR - http://www.scopus.com/inward/record.url?scp=84942250993&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942250993&partnerID=8YFLogxK
U2 - 10.1109/PACIFICVIS.2015.7156374
DO - 10.1109/PACIFICVIS.2015.7156374
M3 - Conference contribution
AN - SCOPUS:84942250993
SN - 9781467368797
VL - 2015-July
SP - 167
EP - 174
BT - IEEE Pacific Visualization Symposium
PB - IEEE Computer Society
ER -