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Point pattern analysis of FIA dataAuthor(s): Chris Woodall
Source: In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; Moser, John W., eds. Proceedings of the Thrid Annual Forest Inventory and Analysis Symposium; Gen. Tech. Rep. NC-230. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 162-170
Publication Series: General Technical Report (GTR)
Station: North Central Research Station
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DescriptionPoint pattern analysis is a branch of spatial statistics that quantifies the spatial distribution of points in two-dimensional space. Point pattern analysis was conducted on stand stem-maps from FIA fixed-radius plots to explore point pattern analysis techniques and to determine the ability of pattern descriptions to describe stand attributes. Results indicate that the Ripley's K(t) statistic may be readily calculated for FIA plots, providing an assessment of spatial pattern. Correlation was found between Ripley's K(t) and stand disturbance history and forest type. However, spatial pattern assessment may be confounded by stands with few trees per acre. Basal area growth prediction using Ripley's K(t) as a predictor variable is seriously limited by past stand disturbances. Although point pattern analysis may be limited by plot buffer creation techniques and the relatively small size of sample plots, extensive FIA sampling across the forests of the United States allows unprecedented spatial analysis of North America's forests.
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CitationWoodall, Chris. 2002. Point pattern analysis of FIA data. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; Moser, John W., eds. Proceedings of the Thrid Annual Forest Inventory and Analysis Symposium; Gen. Tech. Rep. NC-230. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 162-170
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