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

The Distance Formula01:20

The Distance Formula

667
In geometry, measuring the direct distance between two points on a plane is essential in various practical and theoretical applications. Whether in navigation, engineering, or computer graphics, determining the shortest path between two locations involves using the distance formula. This formula is derived from the Pythagorean Theorem, which relates the lengths of the sides of a right triangle. On a coordinate plane, the horizontal and vertical distances between two points serve as the legs of...
667
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

281
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...
281
Rational Expressions01:28

Rational Expressions

412
Rational expressions are algebraic fractions in which both the numerator and the denominator are polynomials. These expressions follow the arithmetic rules of numerical fractions but require extra care due to the presence of variables. A fundamental part of working with rational expressions is identifying values that make the expression undefined, typically those that result in division by zero or undefined radicals.Determining the DomainThe domain of a rational expression includes all real...
412
Cell Size01:22

Cell Size

132.8K
Cell sizes vary widely among and within organisms. Bacterial cells range between 1-10 micrometers (μm)and are considerably smaller than most eukaryotic cells. The smallest bacteria are 0.1 μm in diameter—about a thousand times smaller than eukaryotic cells, which typically range from 10-100 μm.
Surface Area
Cells can take in nutrients and water via diffusion through the plasma membrane itself or through specific channels in the membrane. The area of the membrane surrounding...
132.8K
Typical Model Studies01:30

Typical Model Studies

644
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
644
Modeling and Similitude01:12

Modeling and Similitude

658
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
658

You might also read

Related Articles

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

Sort by
Same author

Traffic-Weighted Detour Ratio Identifies Inefficient Cycling Routes.

Entropy (Basel, Switzerland)·2026
Same author

Switching exploration modes in human mobility.

Journal of the Royal Society, Interface·2026
Same author

Coordination of network heterogeneity and individual preferences promotes collective fairness.

Patterns (New York, N.Y.)·2025
Same author

Distance and grid-like codes support the navigation of abstract social space in the human brain.

eLife·2024
Same author

A general urban spreading pattern of COVID-19 and its underlying mechanism.

npj urban sustainability·2023
Same author

Unveiling Latent Structure of Venture Capital Syndication Networks.

Entropy (Basel, Switzerland)·2023
Same journal

Plasmonic nanocomposite helices for weather-adaptive LiDAR function.

Nature communications·2026
Same journal

Multidirectional strain-insensitive stretchable RF electronics.

Nature communications·2026
Same journal

In-scanner thoughts contribute to resting-state functional connectivity.

Nature communications·2026
Same journal

Metal-center electron affinity modulates multicolor electrochromism in 2D conjugated metal-organic frameworks.

Nature communications·2026
Same journal

Hyperbranched dielectric polymer networks exhibiting giant energy storage density at 250 °C.

Nature communications·2026
Same journal

3D nanoprinting of metals by spatiotemporally confined hot electrons via multiple-electron excitations in nanocrystals.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Feb 18, 2026

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

14.4K

Simple spatial scaling rules behind complex cities.

Ruiqi Li1,2, Lei Dong3, Jiang Zhang4

  • 1School of Systems Science, Beijing Normal University, 100875, Beijing, China.

Nature Communications
|November 30, 2017
PubMed
Summary
This summary is machine-generated.

Scientists developed a model to predict urban spatial distributions of population, roads, and socioeconomic interactions. This framework allows inferring one element from another, offering new insights into city evolution and applications.

More Related Videos

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.8K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

4.4K

Related Experiment Videos

Last Updated: Feb 18, 2026

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

14.4K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.8K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

4.4K

Area of Science:

  • Urban dynamics and spatial analysis
  • Complexity science and network theory
  • Geographic information systems and urban planning

Background:

  • Urban elements like population, roads, and socioeconomic interactions are crucial but their spatial distributions are difficult to predict.
  • Existing models struggle to quantitatively link these fundamental urban components.
  • Understanding these interconnections is key to addressing urban challenges and planning sustainable development.

Purpose of the Study:

  • To develop a unified framework for predicting the spatial distributions of population, roads, and socioeconomic interactions in cities.
  • To reveal consistent spatial scaling rules governing these urban elements.
  • To provide a general explanation for urban scaling laws and predict socioeconomic activity.

Main Methods:

  • A simple model based on spatial attraction and matching growth mechanisms was employed.
  • The model integrates spatial scaling principles to link different urban elements.
  • Empirical data from ten diverse cities were used for validation.

Main Results:

  • A consistent spatial scaling framework was identified for population, roads, and socioeconomic interactions.
  • The model successfully infers the distribution of one urban element from another.
  • Numerical and theoretical results align with empirical data from ten cities.
  • The model explains universal super- and sub-linear aggregate scaling laws.
  • Accurate prediction of kilometre-level socioeconomic activity was achieved.

Conclusions:

  • The developed model provides a unified approach to understanding and predicting urban spatial patterns.
  • The findings enable the inference of urban element distributions, aiding in planning and analysis.
  • This research opens new avenues for studying urban evolution and the interplay of urban elements.
  • The model has broad applications in urban science, policy-making, and sustainable development.