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

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

172
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...
172
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

124
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...
124
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

71
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...
71
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

95
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...
95
Levels of Use of a GIS01:29

Levels of Use of a GIS

109
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...
109
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

146
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
146

You might also read

Related Articles

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

Sort by
Same author

Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic.

PloS one·2023
Same author

Spatio-temporal stratified associations between urban human activities and crime patterns: a case study in San Francisco around the COVID-19 stay-at-home mandate.

Computational urban science·2022
Same author

Multidimensional structural racism predicts birth outcomes for Black and White Minnesotans.

Health services research·2022
Same author

Geographically targeted COVID-19 vaccination is more equitable and averts more deaths than age-based thresholds alone.

Science advances·2021
Same journal

Dataset of Optimized Structures of Aliphatic Chains Chemisorbed on Si(110) and Si(111) Surfaces via First-Principles Methods.

Scientific data·2026
Same journal

EURO-PROBE - Manual segmentations of the prostate and intraprostatic urethra on T2-weighted MRI.

Scientific data·2026
Same journal

Chromosome-Level Genome Assembly of Southern Africa Mozambique Tilapia (Oreochromis mossambicus) using PacBio HiFi and Omni-C sequencing.

Scientific data·2026
Same journal

Ovarian Stainology: Database of evidence-based immunohistochemical antigen expression in ovarian tumors.

Scientific data·2026
Same journal

A dataset of small protein conformational ensembles from all-atom molecular dynamics simulations.

Scientific data·2026
Same journal

A real-world Fitbit-derived dataset of activity, sleep, and heart rate with matched clinical factors in on-treatment lung cancer patients.

Scientific data·2026
See all related articles

Related Experiment Video

Updated: Sep 17, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

A visitor-enriched census in the U.S. cities using large-scale mobile positioning data.

Meicheng Xiong1, Di Zhu2,3, David Van Riper4

  • 1Department of Geography, Environment and Society, University of Minnesota, Twin Cities, Minneapolis, USA.

Scientific Data
|July 2, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a "visitor census" using mobile data to enrich traditional census information. It incorporates human movement patterns to provide a more dynamic understanding of socio-demographics.

More Related Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.7K
A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes
09:10

A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes

Published on: March 1, 2022

2.6K

Related Experiment Videos

Last Updated: Sep 17, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.7K
A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes
09:10

A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes

Published on: March 1, 2022

2.6K

Area of Science:

  • Socio-demographics
  • Human Mobility
  • Data Science

Background:

  • Traditional census data offers valuable socio-demographic insights but often treats units as static.
  • Existing data products overlook the interactions and mobilities of individuals within census units.

Purpose of the Study:

  • To introduce a novel
  • visitor census
  • dataset by integrating human visitations from mobile positioning data.
  • To enrich traditional census data with dynamic socio-demographic information based on observed mobilities.
  • To bridge the gap between aggregated census data and individual-level analysis using digital traces.

Main Methods:

  • Identification and validation of potential home locations for 3.58 million anonymous mobile phone users across seven U.S. metropolitan areas in July 2021.
  • Enrichment of visited place socio-demographic profiles using home detection results from mobile positioning data.
  • Development of an adaptive data generation framework for integrating diverse socio-demographic features at multiple scales.

Main Results:

  • A semantically enriched
  • visitor census
  • dataset incorporating human visitations and spatial interactions.
  • Demonstration of enriching place-based socio-demographic profiles with mobility data.
  • Validation of a framework for integrating conventional census and mobile phone data.

Conclusions:

  • The
  • visitor census
  • enhances traditional resident-based census knowledge by incorporating mobilities and spatial interactions from digital traces.
  • This approach bridges the gap between aggregated and individual analysis.
  • The framework supports future integration of diverse socio-demographic features at varying spatial and temporal scales.