THE MODIFIABLE AREAL UNIT PROBLEM AND IMPLICATIONS FOR LANDSCAPE ECOLOGY

Landscape ecologists often deal with aggregated data and multiscaled s patial phenomena. Recognizing the sensitivity of the results of spatia l analyses to the definition of units for which data are collected is critical to characterizing landscapes with minimal bias and avoidance of spurious relationships. We introduce and examine the effect of data aggregation on analysis of landscape structure as exemplified through what has become known, in the statistical and geographical literature , as the Modifiable Areal Unit Problem (MAW). The MAW applies to two s eparate, but interrelated, problems with spatial data analysis. The fi rst is the ''scale problem'', where the same set of areal data is aggr egated into several sets of larger areal units, with each combination leading to different data values and inferences. The second aspect of the MAW is the ''zoning problem'', where a given set of areal units is recombined into zones that are of the same size but located different ly, again resulting in variation in data values and, consequently, dif ferent conclusions. We conduct a series of spatial autocorrelation ana lyses based on NDVI (Normalized Difference Vegetation Index) to demons trate how the MAW may affect the results of landscape analysis. We con clude with a discussion of the broader-scale implications for the MAUP in landscape ecology and suggest approaches for dealing with this iss ue.