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

344
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...
344
Introduction to GIS01:28

Introduction to GIS

785
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
785
Levels of Use of a GIS01:29

Levels of Use of a GIS

505
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...
505
Thematic Layering in GIS01:30

Thematic Layering in GIS

447
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
447
Manipulation and Analysis01:21

Manipulation and Analysis

334
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...
334
Regional Terms01:12

Regional Terms

17.4K
Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
Primarily, the human body has two major regions, the axial and appendicular regions. The axial region comprises regions from the head to the abdomen and makes up the central body axis. In contrast,...
17.4K

You might also read

Related Articles

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

Sort by
Same author

Steering open-source AI to accelerate the sustainable development goals.

Nature communications·2026
Same author

Addressing urban tree loss and inequality in the USA: the need for targeted policies.

Science bulletin·2025
Same author

Advancing river flood forecasting with a collaborative integrated modeling method.

Journal of environmental management·2024
Same author

Small wetlands: Critical to flood management.

Science (New York, N.Y.)·2024
Same author

Promoting forest landscape dynamic prediction with an online collaborative strategy.

Journal of environmental management·2024
Same author

Carbon mitigation potential afforded by rooftop photovoltaic in China.

Nature communications·2023
Same journal

A 44-min periodic radio transient in a supernova remnant.

Science bulletin·2026
Same journal

Lipoprotein(a): a therapeutic target in waiting? Evidently, evidence-based.

Science bulletin·2026
Same journal

Theoretical prediction of semiconductors by data driven light-element substitution in topological materials.

Science bulletin·2026
Same journal

High-performance quantum interconnect between bosonic modules beyond transmission loss constraints.

Science bulletin·2026
Same journal

Polymer-regulated crystallization enables scalable, high-performance heterostructured perovskite luminescent optoelectronic fibers.

Science bulletin·2026
Same journal

Global fits and the search for new physics: past, present and future.

Science bulletin·2026
See all related articles

Related Experiment Video

Updated: Apr 23, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K

Exploring geographical modal and its implications to support geographical integration

Zhuo Sun1, Tianyu Sheng1, Kai Wu1

  • 1State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing 210023, China; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China; School of Geography, Nanjing Normal University, Nanjing 210023, China.

Science Bulletin
|April 21, 2026
PubMed
Summary

No abstract available in PubMed .

More Related Videos

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

11.9K
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.0K

Related Experiment Videos

Last Updated: Apr 23, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K
The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

11.9K
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.0K