Interactive Scientific Visualization Systems are designed to allow users to interact with and manipulate the visualization in real time, enabling them to explore the data from different perspectives and gain insights.

Color mapping is a technique used to assign colors to data values, while zooming, panning, and rotating are interaction techniques that allow users to manipulate the visualization.

Data visualization is the process of converting data into a visual representation, such as a graph, chart, or map, to make it easier to understand and interpret.

Volume rendering is a technique used to visualize 3D data, while scatterplots, bar charts, and line charts are commonly used to visualize 2D data.

Interactivity refers to the ability of a visualization system to respond to user input in real time, allowing users to explore and analyze the data in a dynamic and interactive manner.

Creating visually appealing visualizations is not typically a major challenge in the development of Interactive Scientific Visualization Systems, as the primary focus is on enabling users to explore and analyze the data.

Brushing is a technique used to select and highlight specific data points or regions in a visualization, allowing users to focus on specific parts of the data.

Texture is not commonly used as a visual encoding in Interactive Scientific Visualization Systems, as it is often less effective in conveying information than other visual encodings such as color, shape, and size.

Composition refers to the process of combining multiple visualizations into a single, cohesive representation, allowing users to view different aspects of the data simultaneously.

Drilling down is not a navigation technique, but rather a technique used to explore the details of a visualization by moving from a general overview to a more specific view.

Visual analytics refers to the process of extracting meaningful insights and patterns from a visualization, combining data analysis techniques with interactive visualization tools.

Heat maps are not commonly used in Interactive Scientific Visualization Systems, as they are more suitable for visualizing large amounts of data with a regular grid structure.

Customization refers to the process of creating a visualization that is tailored to a specific user or task, allowing users to modify the visualization to meet their specific needs.

Translating is not a common camera manipulation technique in Interactive Scientific Visualization Systems, as it is typically not necessary for exploring and analyzing the data.

Evaluation refers to the process of assessing the effectiveness of a visualization, typically by considering factors such as accuracy, usability, and interpretability.