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Book Chapters

Browse more than 5,500 book chapters authored by our scientists over the past 100+ year history of the USGS and refine search by topic, location, year, and advanced search.

Filter Total Items: 6158

Net dextral slip, Neogene San Gregorio–Hosgri fault zone, coastal California: Geologic evidence and tectonic implications Net dextral slip, Neogene San Gregorio–Hosgri fault zone, coastal California: Geologic evidence and tectonic implications

Reinterpretation of onshore and offshore geologic mapping, examination of a key offshore well core, and revision of cross-fault ties indicate Neogene dextral strike slip of 156 ± 4 km along the San Gregorio–Hosgri fault zone, a major strand of the San Andreas transform system in coastal California. Delineating the full course of the fault, defining net slip across it, and showing its...
Authors
William R. Dickinson, Mihai N. Ducea, Lewis I. Rosenberg, H. Gary Greene, Stephan A. Graham, Joseph C. Clark, Gerald E. Weber, Steven Kidder, W. Gary Ernst, Earl E. Brabb

Perennial Antarctic lake ice: a refuge for cyanobacteria in an extreme environment Perennial Antarctic lake ice: a refuge for cyanobacteria in an extreme environment

No abstract available
Authors
J.C. Priscu, E.E. Adams, H.W. Paerl, C.H. Fritsen, J.E. Dore, J.T. Lisle, C.F. Wolf, Jill A. Mikucki

Photogrammetry Photogrammetry

No abstract available.
Authors
E. Robert Thieler, Cheryl J. Hapke

Sediment budget Sediment budget

No abstract available.
Authors
J. H. List

The ecological importance of mangroves in Baja California Sur: conservation implications for an endangered ecosystem The ecological importance of mangroves in Baja California Sur: conservation implications for an endangered ecosystem

No abstract available
Authors
Robert C. Whitmore, R.C. Brusca, P. Gonzalez-Zamorano, R. Mendoza-Salgado, E.S. Amador-Silva, G. Holquin, C. C. McIvor, F. Galvan-Magana, J.A. Seminoff, J.L. de la Luz

Guidelines 13 and 14—Prediction uncertainty Guidelines 13 and 14—Prediction uncertainty

An advantage of using optimization for model development and calibration is that optimization provides methods for evaluating and quantifying prediction uncertainty. Both deterministic and statistical methods can be used. Guideline 13 discusses using regression and post-audits, which we classify as deterministic methods. Guideline 14 discusses inferential statistics and Monte Carlo...
Authors
Mary C. Hill, Claire R. Tiedeman
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