Some Common Spatial Analysis with Raster Data

BY CAITLIN DEMPSEY MORAIS


Spatial Coincidence
Spatial coincidence involves overlaying different raster datasets in order to create a results layer that weighs the coinciding factors from each of the datasets. For example, finding the optimal location for a specie’s habitat based on the type of land cover and location of water.

Proximity
How close to other geographic phenomena is a feature. The distance can be shown as a straight distance or based on a factor like travel time.

Surface Analysis

Surface show the measurements of a continuous layer such as elevation, rainfall, or temperature. More: Statistical surfaces.

DIGITAL ELEVATION MODEL (DEM).

Dispersion

Dispersion models the movement of a geographic phenomenon such as an oil spill or a wildfire.

Least-cost Path Analysis

This surface shows the costs of traveling from one point to the next. Cost can be a function of time, distance or other criteria that is defined by the user. More: Overview of Least Cost Path Analysis.

Source: GIS Lounge - Maps and GIS