Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Review and Preview01:13

Review and Preview

8.8K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
8.8K
Interpreting R Charts01:22

Interpreting R Charts

49
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
49
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

6.0K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.0K
Manipulation and Analysis01:21

Manipulation and Analysis

18
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
18
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

23
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
23
Time-Series Graph00:54

Time-Series Graph

4.3K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Selection at a Distance Through a Large Transparent Touch Screen.

IEEE transactions on visualization and computer graphics·2025
Same author

From Exploration to Critique: Catalyzing Critical Inquiry With Cultural Collection Visualizations.

IEEE computer graphics and applications·2025
Same author

Case report: an unusual long-term evolution of a diffuse midline glioma, H3K27 altered.

Frontiers in oncology·2025
Same author

Enhancing Single-Frame Supervision for Better Temporal Action Localization.

IEEE transactions on visualization and computer graphics·2024
Same author

Visualizing Uncertainty in Sets.

IEEE computer graphics and applications·2023
Same author

Real-Time Visual Analysis of High-Volume Social Media Posts.

IEEE transactions on visualization and computer graphics·2021
Same journal

Deep learning model to predict COPD hospital admissions based on meteorological data: a medical meteorological forecast.

Frontiers in big data·2026
Same journal

Where diverse populations gather: transit accessibility and the spatial structure of social mixing.

Frontiers in big data·2026
Same journal

Inner layer security reinforcement for instant payment systems: a dual layer encryption-steganography evaluation in Brunei's digital payment context.

Frontiers in big data·2026
Same journal

Measuring the impact of virtualization and containerization on the environment when using GPUs for processing the AI models.

Frontiers in big data·2026
Same journal

Using artificial intelligence to improve governance and public services in Africa.

Frontiers in big data·2026
Same journal

Case count metric for comparative analysis of entity resolution results.

Frontiers in big data·2026
See all related articles

Related Experiment Video

Updated: May 27, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.1K

Editorial: Visualizing big culture and history data

Florian Windhager1, Steffen Koch2, Sander Münster3

  • 1Center for Cultures and Technologies of Collecting, Department for Arts and Cultural Studies, University for Continuing Education, Krems, Austria.

Frontiers in Big Data
|February 19, 2025
PubMed
Summary

No abstract available in PubMed .

Keywords:
big dataculturedigital humanitieshistoryvisualization

More Related Videos

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

8.9K
Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression
08:15

Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression

Published on: July 28, 2023

1.1K

Related Experiment Videos

Last Updated: May 27, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.1K
Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

8.9K
Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression
08:15

Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression

Published on: July 28, 2023

1.1K