Visual analytics aims to combine the strengths of human and electronic data processing. Visualisation, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Seamless and sophisticated synergies are required for analysing spatio-temporal data and solving spatio-temporal problems. In modern society, spatio-temporal analysis is not solely the business of professional analysts. Many citizens need or would be interested in undertaking analysis of information in time and space. Researchers should find approaches to deal with the complexities of the current data and problems and find ways to make analytical tools accessible and usable for the broad community of potential users to support spatio-tempo...
Foreword to the special section on visual analytics The increasing amount of heterogeneous data from...
Never before in history data has been generated and collected in such high volumes as it is today. K...
Never before in history data has been generated and collected in such high volumes as it is today. K...
Visual analytics aims to combine the strengths of human and electronic data processing. Visualisatio...
Visual analytics aims to combine the strengths of human and electronic data processing. Visualisatio...
Visual analytics is a research discipline that is based on acknowledging the power and the necessity...
The science of Visual Analytics is a relatively new multidisciplinary field that combines various re...
The science of Visual Analytics is a relatively new multidisciplinary field that combines various re...
Visual Analytics as the science of analytical reasoning facilitated by interactive visual interfaces...
Visual analytics is not easy to define, due to its multi-disciplinary nature involving multiple proc...
A lot of data is being gathered all the time. How can the data be explored to enable analysis of the...
In today's applications data is produced at unprecedented rates. While the capacity to collect and s...
Visual analytics develops knowledge, methods, and technologies that exploit and combine the strength...
Visual analytics science develops principles and methods for efficient human–computer collaboration ...
Foreword to the special section on visual analytics The increasing amount of heterogeneous data from...
Foreword to the special section on visual analytics The increasing amount of heterogeneous data from...
Never before in history data has been generated and collected in such high volumes as it is today. K...
Never before in history data has been generated and collected in such high volumes as it is today. K...
Visual analytics aims to combine the strengths of human and electronic data processing. Visualisatio...
Visual analytics aims to combine the strengths of human and electronic data processing. Visualisatio...
Visual analytics is a research discipline that is based on acknowledging the power and the necessity...
The science of Visual Analytics is a relatively new multidisciplinary field that combines various re...
The science of Visual Analytics is a relatively new multidisciplinary field that combines various re...
Visual Analytics as the science of analytical reasoning facilitated by interactive visual interfaces...
Visual analytics is not easy to define, due to its multi-disciplinary nature involving multiple proc...
A lot of data is being gathered all the time. How can the data be explored to enable analysis of the...
In today's applications data is produced at unprecedented rates. While the capacity to collect and s...
Visual analytics develops knowledge, methods, and technologies that exploit and combine the strength...
Visual analytics science develops principles and methods for efficient human–computer collaboration ...
Foreword to the special section on visual analytics The increasing amount of heterogeneous data from...
Foreword to the special section on visual analytics The increasing amount of heterogeneous data from...
Never before in history data has been generated and collected in such high volumes as it is today. K...
Never before in history data has been generated and collected in such high volumes as it is today. K...