Point Patterns in Forest Fires
Introduction
Do the patterns of forest fires change over time? Do forest fires occur in clusters, and do the clusters change over time? Is this information useful in fighting forest fires?
This lab exercise will try to answer these questions using spatial statistics in a geographic information system (GIS) context.
Location
Montana, United States
Time to complete the lab
Three hours
Prerequisites
An understanding of basic spatial statistics
Basic skills in the use of ArcGIS 10
Elementary understanding of the following: standard deviational ellipses (applied to point patterns), Moran's I to analyze point patterns, average nearest neighbor, and Ripley's K statistic, as well as kernel densities (to analyze clusters)
Data used in this lab
Forest fire history Montana 2005, 2009
Coordinate system: State plane Montana
Datum: North American Datum 1983
Projection: Lambert Conformal Conic
Fire history data metadata: http://www.fs.fed.us/r1/gis/thematic_data/fire_history_r1_1985_2009_poly.htm
About this Lab
Title: Point Patterns in Forest Fires
Author: Sumeeta Srinivasan
Level: 2, development
Requirements: ArcGIS 10
Keywords: forest fire spatial patterns; kernel density estimation; Ripley's K; centroid; standard deviational ellipse; Moran's I; nearest neighbor distance
File: PntPatternsForestFires.doc
Downloads
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