a comparison of spatial ability bteween womenin the third trimester of pregnancy with women after delivery     vatanparast sh * [1] , alipour a [2] , zareh h [3] ,yadegari oa [4]    received: 19 apr, 2011 accepted: 6 jul, 2011   abstract  background & aims: this research was aimed to review the ability to compare spatial ability (mental rotation, visualization, water level task) between pregnan...

The whole process of information visualization from data acquisition to the final image includes sources of uncertainties (e.g., during measuring, aggregation, sampling, mapping,. . . ) that may significantly influence the assumptions about the data and the decisions made. Although there is no universal representation of uncertainties, a somehow common approach is to use fuzzy or blurred repres...

Knowledge-assisted visualization has been a fast growing field because it directly integrates and utilizes domain knowledge to produce effective data visualization. However, most existing knowledge-assisted visualization applications focus on integrating domain knowledge that is tailored only for specific analytical tasks. This reflects not only the different understandings of what “knowledge” ...

Managing complex data flows and update patterns is one of the most difficult challenges in interactive data visualization. For example, constructing interactive visualizations with multiple linked views can be a daunting task. Functional reactive programming provides approaches for declaratively specifying data dependency graphs and maintaining them automatically. We argue that functional react...

We present iSat, a Python command line tool to analyze and find structure in propositional satisfiability problems. iSat offers an interactive shell to control propositional solvers and generate graph representations of the internal structure of the search space explored by them for visualization, with the final aim of providing a unified environment for propositional solving experimentation. i...

A not negligible number of information visualization techniques uses 3D-geometry to visualize data and structures. Thereby, constantly growing data volumes influence the final visual representation and often result in the occlusion of certain items. Therefore, different approaches have been developed that mainly manipulate item positions to uncover specific items of interest or otherwise use fi...

This Final Report provides an analysis of the current state of the art for Information Visualization, as it applies to Maritime Intelligence, Surveillance, and Reconnaissance (MISR). It comprises a Literature Survey, an Annotated Bibliography, a Product Review, and recommendations for further research. The Literature Survey focuses on visualization algorithms and strategies, human factors for v...

In this article, we explore the seemingly well-worn subject of distance-based, or remote visualization. Current practices in remote visualization tend to clump into two broad categories. One approach, which we’ll call render-remote, is to render an image remotely, then transmit the image to the user. Another option, render-local, transfers raw data to the user, where it is then visualized and r...

How to extract relevant information from large data sets has become a main challenge in data visualization. Clustering techniques that classify data into groups according to similarity metrics are a suitable strategy to tackle this problem. Generally, these techniques are applied in the data space as an independent step previous to visualization. In this paper, we propose clustering on the perc...

The fundamental premise of visualization is that a useful correspondence between pixels and data can be built. However, visualization programs rarely operate at the pixel level. Instead of the discrete, finite space of pixels, the most common visualization models work with canvases of floating-point coordinates and geometric shapes. Preserving some source data link all the way down to the pixel...