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

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

108
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...
108
Levels of Use of a GIS01:29

Levels of Use of a GIS

145
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
145
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

211
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
211
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

160
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
160
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

143
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
143
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

318
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
318

You might also read

Related Articles

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

Sort by
Same author

Machine learning-driven clinical decision support for liver cirrhosis: a gut microbiome-based web prediction model with explainable AI integration.

BMC gastroenterology·2026
Same author

Th9 cells provide protective TB immunity.

Frontiers in immunology·2025
Same author

Exploring the association between smartphone-based place visitation data and neighborhood-level coronary heart disease in the United States.

PloS one·2025
Same author

Machine learning-driven clinical decision support for low bone mineral density: A web-based prediction model with explainable AI integration.

Bone·2025
Same author

Enhancing public health surveillance: SARIMAX model incorporating Baidu search index for HCV prediction in China.

BMC medical research methodology·2025
Same author

Severe Anemia Is an Independent Risk Factor for In-Hospital Death in Persons Living with HIV in Southern China: A Retrospective Cohort Study.

AIDS research and human retroviruses·2025

Related Experiment Video

Updated: Oct 27, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.4K

Measuring global multi-scale place connectivity using geotagged social media data.

Zhenlong Li1, Xiao Huang2, Xinyue Ye3

  • 1Geoinformation and Big Data Research Laboratory, Department of Geography, University of South Carolina, Columbia, SC, USA. zhenlong@sc.edu.

Scientific Reports
|July 20, 2021
PubMed
Summary

A new global multi-scale place connectivity index (PCI) uses geotagged tweets to measure human movement. This index strongly correlates with existing data and shows potential for real-world applications.

More Related Videos

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.4K
Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.6K

Related Experiment Videos

Last Updated: Oct 27, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.4K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.4K
Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.6K

Area of Science:

  • Spatial analysis
  • Human geography
  • Computational social science

Background:

  • Place connectivity is crucial for understanding human movement and spatial interactions.
  • Traditional metrics often lack scalability or are data-intensive.
  • Social media offers a rich, accessible data stream for analyzing spatial social interactions.

Purpose of the Study:

  • To introduce a novel global multi-scale place connectivity index (PCI) using geotagged social media data.
  • To validate the PCI against established datasets and explore its properties.
  • To demonstrate the PCI's utility in real-world applications.

Main Methods:

  • Developed a place connectivity index (PCI) based on spatial interactions derived from geotagged tweets.
  • Validated the multi-scale PCI at the US county level against SafeGraph population movement and Facebook's Social Connectedness Index (SCI).
  • Analyzed PCI's boundary effects and distance decay properties, considering urbanization and population density.

Main Results:

  • The multi-scale PCI demonstrated a strong positive association with SafeGraph and SCI data.
  • PCI exhibited a significant boundary effect and generally followed distance decay, with weaker effects in urbanized areas.
  • The index proved effective in modeling early-stage COVID-19 spread and hurricane evacuation choices.

Conclusions:

  • The developed PCI offers a spatiotemporal-continuous, easy-to-implement measurement of place connectivity.
  • PCI shows significant potential for applications requiring insights into human spatial interactions.
  • Open-sourced PCI datasets are expected to support diverse research fields.