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Found 1006 dataset(s) matching "regression modeling".
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The water-budget components geodatabase contains selected data from maps in the, "Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 through 1949 and 2000 through...
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The water-budget components geodatabase contains selected data from maps in the, "Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 through 1949 and 2000 through...
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The water-budget-components geodatabase contains selected data from maps in the, "Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 through 1949 and 2000 through...
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The water-budget-components geodatabase contains selected data from maps in the, "Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 through 1949 and 2000 through...
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This study used crime count data from the Pittsburgh, Pennsylvania, Bureau of Police offense reports and 911 computer-aided dispatch (CAD) calls to determine the best univariate forecast method...
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The U.S. Geological Survey (USGS) Water Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water...
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Species distribution models (SDMs) can be an important tool in rare species conservation. Specifically, SDMs have been used to location previously unknown populations and identify sites for...
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This data release includes 5 files containing model inputs and resulting model predictions. A previously-calibrated spatially referenced regression (SPARROW) model was used to estimate effects of...
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This public data release contains two ascii grids comprising predicted nitrate concentrations (as NO3-N, mg/L) at two depth zones associated with private and public drinking water supply wells,...
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Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. Gaussian Process regression is a popular...
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High-resolution elevation data provide a foundational layer needed to understand regional hydrology and ecology under contemporary and future-predicted conditions with accelerated sea-level rise....
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This dataset utilized available water-quality data from the Mississippi Department of Environmental Quality and streamflow from the U.S. Geological Survey to estimate total nitrogen and total...
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These model objects are the outputs of three Boosted Regression Tree models (for three different time periods) to explore the role of climate change and variability in driving ecological change...
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A three-dimensional groundwater-flow model of a 73.2 square mile area in southeastern Albuquerque, New Mexico was designed and coupled to a regional (parent) model of the Middle Rio Grande Basin...
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This data release contains seasonal source-specific estimates of total nitrogen (TN) and total phosphorus (TP) loads from watersheds draining to Washing water of the Salish Sea (Puget Sound...
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<p>This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature.</p>
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This dataset was developed in partnership with the Tennessee Department of Environmental Conservation to determine the susceptibility of selected Tennessee reservoirs to eutrophication and...
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This dataset provides spatial predictions of the pooled-SDM residuals from a multiscale geographically weighted regression model (MGWR) and the resulting local R2 values for individuals in the...
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This data release contains a table of measured arsenic concentrations and associated model input variables used to test existing multivariate logistic regression models that predict the...
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This USGS Data Release represents the data used to develop multiple linear regression models for estimating the loads of total nitrogen in small streams. Recursive partitioning and random forest...
