Filters: Tags: random forests (X) > partyWithName: U.S. Geological Survey (X)

Filters Date Range Past year (2) Past month (1) Past week (0) Past day (0) Custom range... To   Search Contacts Travis W Nauman U.S. Geological Survey - ScienceBase Michael C Duniway Matthew P Miller Daren M Carlisle More... Categories Data (1) Tag Types Theme (19) Place (19) USGS Scientific Topic Keyword (2) Harvest Set (2) Tag Schemes None (19) Geographic Names Information System (GNIS) (18) USGS Biocomplexity Thesaurus (18) USGS Thesaurus (19) ISO 19115 Topic Categories (18) Common geographic areas (1) ISO 19115 Topic Category (1) View Results as: JSON ATOM CSV

Predictive soil property map: Sodium adsorption ratio These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Very fine sand content These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Organic matter These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Rock content (>2mm) These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Gypsum content These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015 This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150 potential predictor variables (Miller and others, 2018). Calibration data used for the random forest model are available from (Foks and others, 2020). Each model was run twice, first using all potential predictor variables, which represents a "full" model run, and a second time using the top 20 predictors from the original run, which... Categories: Data; Tags: Delaware, Delaware River Basin, Hydrology, National Hydrography Dataset Plus Version 2.0, New Jersey, All tags... New York, Pennsylvania, USGS Science Data Catalog (SDC), anthropogenic modification, baseflow, environmental impacts, geochemistry, geoscientificInformation, groundwater, hydrology, inlandWaters, natural flows, random forest modeling, random forests, river reaches, rivers/streams, streamflow, surface water hydrology, water resources, Fewer tags Predictive soil property map: Clay content These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Fine sand content These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Bulk density (oven dry) These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Depth to top of first restrictive layer These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30 meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Ecology, Geography, Hoover Dam, Information Sciences, Nevada, New Mexico, Soil Sciences, USGS Science Data Catalog (SDC), Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Soil pH These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Sand content These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Available water holding capacity These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Calcium carbonate content These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Electrical conductivity (salinity) These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Silt content These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Surface rock These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags Predictive soil property map: Erodability These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags