Raster Analysis Lecture Notes

These flashcards cover key terms and concepts from the Raster Analysis lecture to aid in exam preparation.

Raster

A data structure used to represent a grid of pixels, where each pixel holds a value.

Map Algebra

A framework for raster data analysis that involves cell-by-cell manipulation of raster layers.

Scope: Local Operations

Operations that apply to individual cell locations without considering neighboring cells.

Zonal Functions

Statistical functions that analyze groups of cells sharing a common attribute, such as pixel value.

Neighborhood Operations

Operations that consider surrounding cells based on geometric arrangements using moving windows.

High-Pass Filters

A technique in raster analysis to highlight spatial spikes in data while suppressing low-frequency variations.

Cost Surface

A layer depicting the minimum cost to traverse to various locations from a source, often used in path analysis.

Friction Surface

A layer created by multiplying distance costs by a friction factor, representing varying travel resistance.

Additive Operator

An operation used in raster analysis that combines cell values through addition.

Logistical Boolean Operations

Operations that yield true or false results based on specified conditions in raster processing.