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Related Concept Videos

Manipulation and Analysis01:21

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...
Levels of Use of a GIS01:29

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...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Areas Within Irregular Boundaries01:26

Areas Within Irregular Boundaries

Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...
Design Example: Marking Boundaries of a Site Using a Compass01:12

Design Example: Marking Boundaries of a Site Using a Compass

Marking site boundaries using a compass is a precise surveying technique that ensures the accuracy of boundary delineation. The process begins by using provided site details, including the bearings and lengths of each boundary line. The initial step involves calculating latitudes and departures for all sides of the site. This computation verifies that the traverse is free of errors, ensuring a closed and accurate boundary.The process starts at a known point, such as Point A, which is often...
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

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 served as...

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Updated: Jun 3, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
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Published on: April 30, 2019

Estimating Small Area Statistics and Developing a Novel Mapping Tool to Display Them Using a User-Centered Design

Erin O Wissler Gerdes1, Jinyi Cai2, Carly Mahoney3

  • 1Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA.

JCO Clinical Cancer Informatics
|June 1, 2026
PubMed
Summary
This summary is machine-generated.

A new tool, CAMSA, provides reliable cancer estimates for small geographic areas, aiding targeted interventions. This visual analytics platform uses Bayesian modeling to overcome data limitations for better cancer control planning.

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Geographic Information Systems (GIS)

Background:

  • Cancer registries face challenges in providing reliable cancer data for small geographic areas.
  • Small populations and low case counts often lead to suppressed or unstable estimates, hindering targeted interventions.

Purpose of the Study:

  • To develop a visual analytics platform and interactive graphics for displaying reliable modeled cancer risk estimates in small geographic areas.
  • To support cancer control planning by overcoming data limitations in areas with small populations and case counts.

Main Methods:

  • A user-centered design process informed platform development through focus groups and surveys with cancer registry and public health professionals.
  • A Bayesian hierarchical model was employed to generate reliable cancer risk estimates by borrowing strength from neighboring areas and temporal data.
  • The Cancer Analytics and Maps for Small Areas (CAMSA) tool was developed to visualize these estimates.

Main Results:

  • CAMSA displays age-adjusted cancer incidence, mortality rates, and risk probabilities for eight cancers at county and ZIP-code tabulation area levels.
  • The tool enables identification of high-incidence areas, including within specific sex and race/ethnicity subgroups.
  • End users expressed enthusiasm for CAMSA's potential in local and state cancer control efforts and suggested enhancements like map overlays and data export.

Conclusions:

  • CAMSA successfully presents cancer rate and risk estimates for small geographic areas, addressing previous data suppression issues.
  • The developed statistical models and visualizations cater to the needs of diverse end users in cancer control and public health.
  • The user-centered approach ensured the platform's relevance and utility for cancer surveillance and intervention planning.