Skip to main content
Advanced Search

Filters: Tags: spatial analysis (X)

99 results (33ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
The GIS Weasel is a freely available, open-source software package built on top of ArcInfo Workstation® [ESRI, Inc., 2001, ArcInfo Workstation (8.1 ed.), Redlands, CA] for creating maps and parameters of geographic features used in environmental simulation models. The software has been designed to minimize the need for GIS expertise and automate the preparation of the geographic information as much as possible. Although many kinds of data can be exploited with the GIS Weasel, the only information required is a raster dataset of elevation for the user's area of interest (AOI). The user-defined AOI serves as a starting point from which to create maps of many different types of geographic features, including sub-watersheds,...
thumbnail
This data release includes data created, collected, and/or otherwise modified in the process of quantifying a sediment budget for the Smith Creek Watershed near New Market, Virginia, USA. Five raster files are included, namely a modeled index of hydrological connectivity, a raster model of modeled floodplain depositional masses and extent, a rasters of modeled gross and delivered upland erosion, and a hydrologically conditioned Digital Elevation Model (DEM). Two vector shapefiles are also included. The first documents the results from the stepwise linear regression models developed to estimate erosion attributed to streambeds, streambanks, and floodplains along stream reaches throughout the watershed. The second...
thumbnail
In 2016, the U.S. Army Corps of Engineers (USACE) started collecting high-resolution multibeam echosounder (MBES) data on Lake Koocanusa. The survey originated near the International Boundary (River Mile (RM) 271.0) and extended down the reservoir, hereinafter referred to as downstream, about 1.4 miles downstream of the Montana 37 Highway Bridge near Boulder Creek (about RM 253). USACE continued the survey in 2017, completing a reach that extended from about RM 253 downstream to near Tweed Creek (RM 244.5). In 2018, the U.S. Geological Survey (USGS) Idaho Water Science Center completed the remaining portion of the reservoir from RM 244.5 downstream to Libby Dam (RM 219.9). The MBES data collected in 2016 and 2017...
thumbnail
Artificial drainage has major ecosystem impacts through the development of extensive ditch networks that reduce storage and induce large-scale vegetation changes. This has been a widespread practice of water table management for agriculture in Eastern North Carolina. However, these features are challenging to identify, and (because of their structure) have been determined by non-natural factors. A dataset of open ditches was processed by calculating terrain openness (also called positive openness): a value based on a line-of-sight approach to measure the surrounding eight zenith angles as viewed above the landscape surface. The result from calculating openness with high resolution digital elevation models (DEMs...
thumbnail
NOTE: This data release has been deprecated. There is an updated version available here: https://doi.org/10.5066/P94EKLPP. The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing...
thumbnail
High frequency water-quality measurements were collected by the U.S. Geological Survey within Willow Creek Reservoir located in Heppner, Oregon. All measurements were taken at 0.5 meters below the surface with a YSI EXO2 multiparameter sonde. Information collected include location, time, water temperature, pH, specific conductance, dissolved oxygen, total chlorophyll, blue-green algae phycocyanin, and turbidity. The measurements were collected while boating around the reservoir at about 4 kilometers per hour. These data were collected on June 9, 2015, August 17, 2016, and September 16, 2016, and are published as individual datasets for each date.
thumbnail
This dataset includes modeled outputs for structural connectivity and trends in connectivity patterns in the sagebrush biome of the United States at 270-meter resolution. Connectivity was calculated using an omnidirectional circuit-based algorithm, with sources, targets, and conductance based on sagebrush fractional component from the RCMAP sagebrush products for 1985, 1990, 1995, 2000, 2005, 2010, 2015, and 2020. Cumulative current density was used to represent connectivity and normalized cumulative current density represented relative flow patterns. We also calculated rasters to represent linear trend in connectivity class, relative flow, and the consistency of connectivity classes.
thumbnail
This data release provides flooding extent polygons based on sea-level rise and wave-driven total water levels for the coast of the most populated Mariana Islands of Guam and Saipan. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10-m2 resolution along these islands coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios.
thumbnail
This data release provides flood depth GeoTIFFs based on sea-level rise and wave-driven total water levels for the coast of the most populated Hawaiian Islands of Oahu, Molokai, Kauai, Maui, and Big Island. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding in the populated Hawaiian Islands due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10-m2 resolution along the coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios.
thumbnail
FY2015The Great Basin Region, which covers much of Nevada, and portions of California, Oregon, Idaho, and Utah, managers are already confronting a changing climate and are beginning to make management decisions despite uncertainty in how climate change effects will manifest in the region. To support decision making, the Great Basin Landscape Conservation Cooperative (LCC) and the National Oceanic and Atmospheric Administration (NOAA) Regional Integrated Science Assessment Program (RISA) funded this project to explore how two scenario planning approaches might be used effectively with existing management planning processes and data sources and how to begin prioritizing adaptation strategies. The two approaches used...
The timely development of the nation's energy production capacity in a manner that minimizes potential adverse local and regional impacts associated with energy facilities requires the use of sophisticated techniques for evaluation of siting alternatives and fuel cycle options. This report is a documentation of the computerized SITE methodology that has been developed for evaluating health, environmental, and socioeconomic impacts related to utilization of alternate sites for energy production within a region of interest. The cost, impact, and attribute vectors, which are generated and displayed on density maps, can be used in a multiparameter overlay process to identify preferable siting areas. The assessment of...
The timely development of the nation's energy production capacity in a manner that minimizes potential adverse local and regional impacts associated with energy facilities requires the use of sophisticated techniques for evaluation of siting alternatives and fuel cycle options. This report is a documentation of the computerized SITE methodology that has been developed for evaluating health, environmental, and socioeconomic impacts related to utilization of alternate sites for energy production within a region of interest. The cost, impact, and attribute vectors, which are generated and displayed on density maps, can be used in a multiparameter overlay process to identify preferable siting areas. The assessment of...
thumbnail
This Data Release contains various types of hydrologic and geologic data from the Upper Rio Grande Focus Area Study from 1921-2017, including groundwater-level measurement data compiled and synthesized from various sources, water-level altitude and water-level change maps developed from the water-level measurement data every 5 years from 1980-2015, and the horizontal extent of 13 alluvial basins in the Upper Rio Grande Basin
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Abiquiu Reservoir, Ahumada, Alamosa, Alamosa County, Alamosa Creek, All tags...
These data were compiled for the study: Divergent climate change effects on widespread dryland plant communities driven by climatic and ecohydrological gradients. The objectives of our study were to (1) describe how climate change will alter the biomass and composition of key plant functional types; (2) quantify the impacts of climate change on future functional type biomass and composition along climatic gradients; (3) identify if and which geographic locations will be relatively unaffected by climate change while others experience large effects; and (4) determine if there is consistency in climate change impacts on plant communities among a representative set of climate scenarios. These data represent geographic...
Tags: 30-arcsecond spatial resolution, Arizona, Botany, C3 perennial grasses, C4 perennial grasses, All tags...
thumbnail
Vector data showing areas of dense oil and gas development that mule deer are expected to avoid, for twelve study sites in the Book Cliffs region in Utah.
thumbnail
Raster data depicting estimated jaguar energy expenditure required to move north from the US-Mexico border to reach important water sources. The data were generated for five scenarios: walled, un-walled crossing and three remediation scenarios: a border crossing through the wall in rugged terrain towards the west end of the wall, a crossing in a dry wash centrally located, one in less rugged terrain east of both.
thumbnail
High frequency water-quality measurements were collected by the U.S. Geological Survey within Willow Creek Reservoir located in Heppner, Oregon. All measurements were taken at 1.5 feet below the surface with a YSI EXO2 multiparameter sonde. Information collected include location, time, water temperature, pH, specific conductance, dissolved oxygen, total chlorophyll, blue-green algae phycocyanin, and turbidity. The measurements were collected while boating around the reservoir at about 2.5 miles per hour.
thumbnail
This .zip file contains four products that will allow users to recreate the analyses and spatial data figures used in Sergeant et al. 2020, A classification of streamflow patterns across the coastal Gulf of Alaska: 1) Autoclass input and output files (provided as folders with multiple simple text files), 2) Classification data (.csv file) for individual watersheds, including Fundamental Daily Streamflow Statistics, landcover variables, and class membership, 3) Esri map package (.mpk file) that will allow users to recreate Figures 3 and 5 using ArcGIS and extract basic watershed-scale data such as watershed ID, drainage area, primary class assignment, and primary class membership probability (for users interested...
This presentation is part of the Decision Support Tools for Natural Resource Managers in Sagebrush Communities and Across the Pacific Northwest Workshop Series, funded by the Great Basin Landscape Conservation Cooperative (LCC). Mike Gough with Conservation Biology Institute provides a rapid overview of the Sagebrush Climate Console. He demonstrates the new Nature’s Stage Climate Mapper. The objective of this session to show participants possible applications they can use in management decision-making.


map background search result map search result map Planning for the future of the Great Basin: Using spatially-based planning to inform climate resiliency planning and adaptation strategies Spatial water-quality measurements in Willow Creek Reservoir located in Heppner, Oregon, 2015-2016 Hydrogeologic, geologic, and water-level data for the groundwater component of the upper Rio Grande Focus Area Study, Colorado, New Mexico, and Texas, United States and Chihuahua, Mexico 2017 Spatial water-quality measurements on September 16, 2016, in Willow Creek Reservoir, Heppner, Oregon SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year All available data for Sergeant et al. 2020, A classification of streamflow patterns across the coastal Gulf of Alaska U.S. Geological Survey and U.S. Army Corps of Engineers Bathymetric Survey of Lake Koocanusa, Lincoln County, Montana, 2016-2018 Lidar-Derived Ditches in Eastern North Carolina with Transportation attributes, 2014-2015 High-resolution maps of projected big sagebrush plant community biomass for 52 future climate scenarios using multivariate matching algorithms Maps of mule deer avoidance areas based on density of oil and gas developments, Book Cliffs, Utah Maps of cumulative energy expenditure models for jaguar in southern Arizona Sediment model inputs and outputs for the Smith Creek watershed near New Market, Virginia for 2012-2016 Sagebrush structural connectivity yearly and temporal trends based on RCMAP sagebrush products, biome-wide from 1985 to 2020 Projected coastal flooding depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian Islands (ver. 1.1, September 2024) Projected coastal flooding extents for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Mariana Islands Spatial water-quality measurements in Willow Creek Reservoir located in Heppner, Oregon, 2015-2016 Spatial water-quality measurements on September 16, 2016, in Willow Creek Reservoir, Heppner, Oregon Sediment model inputs and outputs for the Smith Creek watershed near New Market, Virginia for 2012-2016 Maps of mule deer avoidance areas based on density of oil and gas developments, Book Cliffs, Utah Projected coastal flooding extents for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Mariana Islands Lidar-Derived Ditches in Eastern North Carolina with Transportation attributes, 2014-2015 Projected coastal flooding depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian Islands (ver. 1.1, September 2024) Hydrogeologic, geologic, and water-level data for the groundwater component of the upper Rio Grande Focus Area Study, Colorado, New Mexico, and Texas, United States and Chihuahua, Mexico 2017 Planning for the future of the Great Basin: Using spatially-based planning to inform climate resiliency planning and adaptation strategies Sagebrush structural connectivity yearly and temporal trends based on RCMAP sagebrush products, biome-wide from 1985 to 2020 All available data for Sergeant et al. 2020, A classification of streamflow patterns across the coastal Gulf of Alaska SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year High-resolution maps of projected big sagebrush plant community biomass for 52 future climate scenarios using multivariate matching algorithms