Retail space management is one of the more crucial challenges faced by retailers today with an ever ever- expanding volume of data to which they must refer when making decisions. Problems have emerged that are intract...
详细信息
Retail space management is one of the more crucial challenges faced by retailers today with an ever ever- expanding volume of data to which they must refer when making decisions. Problems have emerged that are intractable using traditional means but for which interactive information visualization shows much promise. These problems or tasks are exploratory in nature and use temporal multivariate data. Department stores must maximize and optimize return on allocated retail space. Although product sales are readily available, the missing link for most retailers is a precise understanding of each store's layout in relation to its capacity and performance. This paper introduces a novel approach Visual Space Management (VSM) demonstrated with a multiple-linked view application (VisMT) that explores retail data related to space performance. VisMT integrates familiar information visualization representations and a 3D interactive layout of store floor plans with retail data sources. Parallel coordinates plot serves as a multivariate visual control panel in the coordinated system. Seasonally retail data analysis is performed simultaneously in linked views through time. Visual inquiry methods are supported for conditioned temporal multivariate data.
Work on the construction site is known to be inefficient due to workers spending much time waiting for materials, transporting materials and from frequent interruptions of tasks. Studies on the construction site typic...
详细信息
ISBN:
(纸本)9780769532714
Work on the construction site is known to be inefficient due to workers spending much time waiting for materials, transporting materials and from frequent interruptions of tasks. Studies on the construction site typically use statistical measures to analyse the sampled data about work and such measures, while very useful, can overlook important features of the data. In this paper we apply a previously developed approach, derived from time geographical methods,to visually represent the sampled construction productivity data and show that this method may enable the analyst to better understand the distribution of activities, and how they are interrelated and dependent upon each other.
The voluminous nature of social scientific, spatial-temporal statistical databases calls for high interactive performance and creative integrated information and geo-visualization tools. A solution to this challenge c...
详细信息
The voluminous nature of social scientific, spatial-temporal statistical databases calls for high interactive performance and creative integrated information and geo-visualization tools. A solution to this challenge can be found in the emerging visual analytics (VA), a science of analytical reasoning facilitated by interactive visual interfaces and innovative visualization and is now actively pursued by research groups worldwide. In this paper, we present a tool called "GeoAnalytics", based on the principles behind VA. Our objective is to define new suitable approaches and tools for exploring time variant and multivariate attributes simultaneous including a spatial dimension. We introduce parallel coordinates integrated with time series and trend graph that serves as the visual control panel for the application. Multivariate attribute dynamic queries can express simultaneously queries involving time varying spatial data. VA encourages the need to build a bridge between the advantages of both human perception and computer science technologies. The sense of immediacy and speed-of-thought interaction is achieved in our dynamically linked components and maximum allocation of screen area for visual displays that helps users stay focused on their work and shortens their time to enlightenment
Analysing multivariate data is a difficult task. Extensive interaction with the data is often necessary and, hence, the analysis can be quite time consuming. In this paper, we introduce a method to allow the user to s...
详细信息
Analysing multivariate data is a difficult task. Extensive interaction with the data is often necessary and, hence, the analysis can be quite time consuming. In this paper, we introduce a method to allow the user to simultaneously examine the relationships of a single dimension with many others in the data. The single dimension can then be interactively changed to allow the user to quickly examine all possible combinations. This method is achieved by extending the standard parallel coordinate approach to a 3D clustered multi-relational parallel coordinate representation (CMRPC). To aid this method, we use a technique called relation spacing which is used to position the axes according to how 'interesting' the different relations are. We also propose a number of interaction techniques to further facilitate the analysis process.
暂无评论