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

Introduction to GIS01:28

Introduction to GIS

210
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...
210
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

214
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...
214
Levels of Use of a GIS01:29

Levels of Use of a GIS

110
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...
110
Thematic Layering in GIS01:30

Thematic Layering in GIS

86
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)...
86
Manipulation and Analysis01:21

Manipulation and Analysis

73
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...
73
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

76
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...
76

You might also read

Related Articles

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

Sort by
Same author

Corrigendum to "Revisiting the modifiable areal unit problem in the era of exposome-wide association studies: Assessing the performance of the CDC/ATSDR social vulnerability index at privacy-protecting spatial scales" [Environ. Res. (2026) 124912].

Environmental research·2026
Same author

Screening the Tox21 Compound Library for Chemicals That Stimulate the Adrenergic β1 Receptor.

Chemical research in toxicology·2026
Same author

Shared trans-ancestry architecture of HLA-mediated disease risk in the <i>All of Us</i> Research Program.

medRxiv : the preprint server for health sciences·2026
Same author

Expanded Tox21 Biological Assay Panel for the Prediction of Drug-Induced Liver Injury and Cardiotoxicity.

Environmental health perspectives·2026
Same author

Prenatal Smoking Exposures and Epigenome-Wide Methylation in Newborn Blood.

Environmental health perspectives·2026
Same author

Corrigendum to "Revisiting the modifiable areal unit problem in the era of exposome-wide association studies: Assessing the performance of the CDC/ATSDR social vulnerability index at privacy-protecting spatial scales" [Environ. Res. (2026) 124912].

Environmental research·2026

Related Experiment Video

Updated: Sep 25, 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

10.2K

ToxPi*GIS Toolkit: creating, viewing, and sharing integrative visualizations for geospatial data using ArcGIS.

Jonathon Fleming1, Skylar W Marvel1, Stacy Supak2

  • 1Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.

Journal of Exposure Science & Environmental Epidemiology
|April 27, 2022
PubMed
Summary

The ToxPi*GIS Toolkit integrates Toxicological Prioritization Index (ToxPi) profiles with ArcGIS, enabling interactive geospatial analysis and public sharing of complex environmental health data.

Keywords:
Data integrationGeographic information systemsVisual analytics

More Related Videos

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands
07:26

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Published on: January 31, 2025

482
Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography
10:40

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Published on: August 12, 2025

512

Related Experiment Videos

Last Updated: Sep 25, 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

10.2K
Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands
07:26

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Published on: January 31, 2025

482
Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography
10:40

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Published on: August 12, 2025

512

Area of Science:

  • Environmental Health Sciences
  • Geographic Information Systems (GIS)
  • Toxicology

Background:

  • Integrating multi-factor geographic data for comprehensive analysis is challenging.
  • Interactive visualization is crucial for public sharing and GIS analysis.
  • The Toxicological Prioritization Index (ToxPi) framework visualizes integrated data, but lacks ArcGIS integration.

Purpose of the Study:

  • Introduce the ToxPi*GIS Toolkit for creating, viewing, sharing, and analyzing interactive ToxPi profiles within ArcGIS.
  • Enable novel GIS analyses and provide a public avenue for geospatial results.
  • Facilitate the integration of ToxPi profiles into existing GIS workflows.

Main Methods:

  • Developed a software suite including an ArcGIS Toolbox (ToxPiToolbox.tbx) for drawing location-specific ToxPi profiles.
  • Created modular Python scripts for command-line creation of ToxPi feature layers.
  • Provided Python routines for data manipulation and preprocessing, with documented workflows for users of all skill levels.

Main Results:

  • Map visualizations with ToxPi profiles can be shared via public URLs, accessible without ArcGIS Pro.
  • Novice ArcGIS Pro users can create custom maps; advanced users benefit from customization options.
  • Demonstrated ToxPi feature layer creation using COVID-19 data to analyze pandemic vulnerability drivers across US counties.

Conclusions:

  • Integrating ToxPi profiles with ArcGIS opens new possibilities for geospatial analysis, visualization, and public data sharing.
  • This integration supports decision-making for public health issues like disease prevention and environmental health.
  • Ongoing development of the ToxPi*GIS Toolkit (www.toxpi.org) aims to advance scientific research across various fields.