Name: Exploration of Generalized Raster Data Applications
Start: 2026-09-30T04:00:01-0400
End: 2026-09-30T04:00:01-0400

Exploration of Generalized Raster Data Applications

Wednesday September 30, 2026 TBA

Raster datasets are best known for their ability to provide insight for qualitative analysis by displaying continuous data. While raster data is sometimes used in a quantitative capacity with histogram analysis and classification, raster generalization is a less explored methodology for deriving quantitative metrics from raster datasets. Raster generalization in this context refers to the act of averaging the value of cells in a raster dataset within a user-defined geography to derive a single numerical value. This session will cover the use of this methodology in my research project "Analyzing Remote Sensing Vegetation Indexes to Optimize Corn and Soybean Yield", Python scripting to achieve raster generalization, and other possible applications for this methodology.

Speakers

Hayden Hancock

Transportation Planner and GIS Specialist, Lake Cumberland Area Development District

Hayden Hancock is a Transportation Planner and GIS Specialist at the Lake Cumberland Area Development District in Russell Springs, KY. He graduated from the University of Kentucky in May 2025 with a Bachelors in Geography with a GIS and Mapping focus.

Wednesday September 30, 2026 TBA

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Kentucky GIS Conference 2026

Hayden Hancock

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Kentucky GIS Conference 2026

Hayden Hancock

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