SPATIAL ANALYSIS OF CINDER CONE DISTRIBUTION AT NEWBERRY VOLCANO, OREGON: IMPLICATIONS FOR STRUCTURAL CONTROL ON ERUPTIVE PROCESS
Newberry cone positions (n=296) were compiled from digital geologic maps and statistically analyzed using GIS. Cone locations were further subdivided into northern (n=149) and southern (n=147) domains to test for mutually independent relations between the three fault zones. Observed cone patterns were tested for randomness and spatial anisotropy using a combination of quadrat analysis (Komogorov-Simirnov test) and comparative-distribution analysis via Monte Carlo simulations. The latter employed the line-azimuth and point-density techniques of Lutz (1986) and Zhang and Lutz (1989). Statistically significant cone-distribution patterns were subsequently compared to fault trends to assess the degree to which magma emplacement was guided by regional tectonic stress fields.
Results of the K-S tests reject the null hypothesis at the 95% confidence interval, documenting that Newberry cinder cones are not randomly distributed. The Monte Carlo-based analyses identify four significant cone alignments in the southern domain (dominant azimuth directions = 10-15, 30-35, 325-330, 355), and three in the northern (85, 310, 345). Fault segment analysis reveals three dominant azimuthal trends in the region: 310-325 (Brothers fault zone), 330-340 (Tumalo fault zone), and 45-50 (Walker Rim). The above results suggest that the Brothers and Tumalo fault zones had a detectable control on cinder-cone emplacement in both the northern and southern domains, whereas the Walker Rim is poorly correlated to significant cone-alignment patterns. Cinder cone alignments with azimuthal trends of 10-15, 30-35, and 85 suggest additional control by structural conditions other than those represented by mapped surface faults.