Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Introduction to GIS

Introduction to GIS

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...

GIS Software, Hardware, and Sources of GIS Data

GIS Software, Hardware, and Sources of GIS Data

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...

Levels of Use of a GIS

Levels of Use of a GIS

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...

Thematic Layering in GIS

Thematic Layering in GIS

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)...

Manipulation and Analysis

Manipulation and Analysis

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...

Selected Data About Geographic Locations

Selected Data About Geographic Locations

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...

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

Search research articles

Related Experiment Video

Updated: Oct 16, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

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

Jonathon Fleming¹, Skylar W Marvel¹, Alison A Motsinger-Reif²

¹Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University.

Medrxiv : the Preprint Server for Health Sciences

|October 21, 2021

Summary

The ToxPi*GIS Toolkit enables interactive visualization of complex geographic data within ArcGIS, facilitating public sharing and analysis. This tool allows users to create, view, and share integrated toxicological prioritization maps.

More Related Videos

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Published on: January 31, 2025

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

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

Published on: August 12, 2025

Related Experiment Videos

Last Updated: Oct 16, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Published on: January 31, 2025

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

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

Published on: August 12, 2025

Area of Science:

Geographic Information Systems (GIS)
Environmental Toxicology
Data Visualization

Background:

Integrating multi-factor geographic data is complex.
Interactive visualization is crucial for GIS analysis and public sharing.
The Toxicological Prioritization Index (ToxPi) framework offers data integration but lacked ArcGIS compatibility.

Approach:

Developed the ToxPi*GIS Toolkit, a software suite for creating, viewing, sharing, and analyzing interactive ToxPi figures in ArcGIS.
Included an ArcGIS Toolbox (ToxPiToolbox.tbx), modular Python scripts, and data manipulation routines.
Documented workflows for novice and advanced users, including feature layer creation, sharing, and embedding.

Key Points:

ToxPi*GIS Toolkit generates interactive ToxPi diagrams within ArcGIS feature layers.
Visualizations are shareable via public URLs, accessible to users without ArcGIS expertise.
The toolkit supports both novice map creation and advanced customization.
Illustrates application with COVID-19 data to compare pandemic vulnerability drivers.

Conclusions:

The ToxPi*GIS Toolkit enhances GIS capabilities for integrating and visualizing complex toxicological and geospatial data.
Ongoing development aims to introduce new features benefiting the scientific community.
The toolkit and resources are freely available, promoting wider adoption and application.