USING GIS TO ASSESS MAPPING INCONSISTENCIES ALONG THE GLACIAL MARGIN IN WESTERN NEW YORK
Digital data sets used in the analyses were bedrock and surficial geology and soils. SQL statements in ArcGIS on surficial geology enabled selection and classification of kames, kame moraines, till and till moraines as glacial, and colluvium as nonglacial. A hand-digitized map of ice extent, mapped according to soil characteristics (Bryant 1955), was classified as glacial and nonglacial. Overlay analysis identified the mismatch between the two reclassified maps and was used to create polygons designated as glacial, nonglacial or difference. These zones were used as the independent variable in further analyses. The DEMs were used to calculate morphometric parameters of elevation, slope, terrain ruggedness (standard deviation and range of elevation calculated in a 5x5 neighborhood), and slope planform curvature and profile curvature. Zonal statistics using zones as a mask were run in GRID, and ascii data files were extracted for running ANOVA in a conventional statistical package.
Two-way crosstabs indicates that entisols are the predominant soil order in the glacial areas and areas of difference. ANOVA using morphometry shows significant differences in all zones in elevation, slope, and the two ruggedness parameters. No significant difference exists between measures of slope form. For slope and ruggedness parameters, the area of difference is most similar to the nonglacial area. The results from soil and morphometry prove contradictory; however, they do provide insight into why precise delineation of the margin has been so difficult.