Understanding Landscape Metrics II
Quantitative measures of landscape pattern are useful for a variety of purposes. However, when analyzing or interpreting landscape metrics, one must pay close attention to the scale of the dta and the classification scheme used. Differences in scale among two data sets (e.g., between time periods or for different landscapes) can obscure or augment the actual amount of landscape change and limit the comparability of many landscape metrics. Research into the behavior of metrics must identify the relative sensitivity of various metrics to scale differences and work toward developing scaling rules for extrapolating across different scales.
KeywordsGeographic Information System Classification Scheme Spatial Data Cover Type Landscape Ecology
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- Meentemeyer, V., and E. O. Box. 1987. Scale effects in landscape studies. In M. G. Turner, ed. Landscape Heterogeneity and Disturbance. Springer-Verlag, New York, pp. 15–34. One of the earlier papers addressing scale effects in landscape studies; it lays out a variety of ways in which scale is important.Google Scholar
- O’Neill, R. V., C. T. Hunsaker, S. P. Timmins, B. L. Jackson, K. B. Jones, K. H. Riitters, AND J. D. Wickham. 1996. Scale problems in reporting landscape pattern at the regional scale. Landscape Ecology 11:169–180.Google Scholar
- Turner, M. G., R. V. O’Neill, R. H. Gardner, and B. T. Milne. 1989. Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecology 3:153–162.Google Scholar
- Wickham, J. D., R. V. O’Neill, K. H. Riitters, T. G. Wade, and K. B. Jones. 1997. Sensitivity of selected landscape pattern metrics to land-cover misclassification and differences in land-cover composition. Photogrammetric Engineering and Remote Sensing 63:397–402. A useful investigation of the effects of classification scheme on resulting landscape metrics.Google Scholar
- Wickham, J. D., and K. H. Riitters. 1995. Sensitivity of landscape metrics to pixel size. International Journal of Remote Sensing 16:3585–3594. This paper empirically demonstrates the sensitivity of different landscape metrics to changes in grain, which is relevant to using satellite imagery.Google Scholar