R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2018, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

Data and Resources

Field Value
accessLevel public
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catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:5d03d6fee4b0e3d3115805d6
metadata_type geospatial
modified 20200827
old-spatial -124.5500, 41.9800, -116.4600, 46.2700
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash a1a2fe7f358179dd802bbacd1126393b092a325e
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-124.5500, 41.9800], [-124.5500, 46.2700], [ -116.4600, 46.2700], [ -116.4600, 41.9800], [-124.5500, 41.9800]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • bear-creek
  • biota
  • ckan
  • copper
  • geo
  • geoss
  • mill-creek
  • national
  • north-america
  • oregon
  • phosphorus
  • sediment-transport
  • suspended-material-water
  • united-states
  • usgs-5d03d6fee4b0e3d3115805d6
isopen False
license_id notspecified
license_title License not specified
maintainer Adam Stonewall
maintainer_email stonewal@usgs.gov
metadata_created 2025-11-22T22:34:10.204243
metadata_modified 2025-11-22T22:34:10.204247
notes This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2018, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
num_resources 2
num_tags 17
title R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053