it is essential to use statistical models and theoretical analysis of the data for preparing comprehensive geological and seismic hazard mapping. a cellular automaton consists of an array of cells, each one of which has a finite number of possible states, together with a rule for updating all cells simultaneously based only on the states of neighboring cells. in the present paper, ising cellula...

It is essential to use statistical models and theoretical analysis of the data for preparing comprehensive geological and seismic hazard mapping. A cellular automaton consists of an array of cells, each one of which has a finite number of possible states, together with a rule for updating all cells simultaneously based only on the states of neighboring cells. In the present paper, Ising cellula...

A three-dimensional finite-volume ELLAM method has been developed, tested, and successfully implemented as part of the U.S. Geological Survey (USGS) MODFLOW-2000 ground water modeling package. It is included as a solver option for the Ground Water Transport process. The FVELLAM uses space-time finite volumes oriented along the streamlines of the flow field to solve an integral form of the solut...

Geo-visualization is significantly changing the way we view spatial data and discover information. On the one hand, a large number of spatial data are generated every day. On the other hand, these data are not well utilized due to the lack of free and easily used data-visualization tools. This becomes even worse when most of the spatial data remains in the form of plain text such as log files. ...

Water quality data may not be collected at a high frequency, nor over the range of streamflow data. For instance, water quality data are often collected monthly, biweekly, or weekly, since collecting and analyzing water quality samples are costly compared to streamflow data. Regression models are often used to interpolate pollutant loads from measurements made intermittently. Web-based Load Int...

This paper utilizes United States Geological Survey (USGS) data to investigate the influence of landscape structure on atmospheric circulations. The procedure to insert this data in the Regional Atmospheric Modeling System (RAMS) is described. Simulations are presented for a monthly simulation of summer weather in the United States, for case studies of cumulonimbus convection along a dryline in...

Introduction: The U.S. Geological Survey’s (USGS) Center of Excellence in Geospatial Information Science (CEGIS) is conducting generalization research in cooperation with the University of Colorado—Boulder and Pennsylvania State University to support display and delivery of The National Map and other USGS geospatial data at multiple scales. This paper focuses on generalization of the National H...

The large-scale urba n orthoimage generation is being deployed in all level government agencies and private sectors. However, the early procedures and algorithms for digital orthoimage generation in the National Digital Orthophoto Program (NDOP) were based on earlier USGS mapping operations, which have not considered the urban case so that the Standard for Digital Orthophoto formulated by USGS ...