Data and Tools
Biology and Ecosystems Data
Hydrography Data and More...
USGS is a primary source of Geographic Information Systems (GIS) Data. Our data and information is presented both spatially and geographically including The National Map, Earth Explorer, GloVIS, LandsatLook, and much more. Start exploring by topic below.
Random Landscape Tool uses a raster data source and a table of classifications to create a random landscape. The classification table allows the user to weight the probability of occurrence to certain classes and to spatially restrict the distribution of classes to certain areas (zones).
There are ongoing needs for analytical tools to investigate the cumulative effects of fluctuating water flow and depth. The Connectivity and Inundation Tool was developed at UMESC to help address these needs.
- A revised toolset, entitled "Management Unit Prioritization Tools", consisting of two separate tools; the Conservation Objective Prioritization Tool and the Overall Prioritization Tool were developed.
- The development of these decision support tools give resource managers the ability to make thoughtful and strategic choices about where to spend their limited management resources.
Curve Fit is an ArcMap 10.1 (10.2 forthcoming) tool that:
- performs pixel level regression analysis on a series of raster datasets
- is capable of calculating both linear and nonlinear regressions
- allows the user to constrain parameters for nonlinear models
- generates raster surfaces representing parameter estimate, model fit, and multi-model inference
Anticipated effects of development on habitat fragmentation and movement of mammals into and out of the Schoodic District, Acadia National Park, Maine
In this study, we examined habitat fragmentation consequences owing to a planned 1,295 hectare development by Winter Harbor Holding Company (WHHC) adjacent to the Schoodic District of Acadia National Park (ANP), Maine.
The Percent Edge Tool is an ArcMap tool. The Percent Edge Tool performs the following calculations for each polygon in a polygonal GIS layer: area, compactness, perimeter, edge lengths with adjacent polygons, and percentage of edge with adjacent polygons. This information can then be summarized into a pivot table and queried.
Where are most important places to direct conservation effort? Such a simple question is not answered simply. There are a myriad of priorities, constraints, and capacities, both scientific and socio-economic, which in combination guide the allocation of management effort. An honest accounting of these priorities, constraints, and capacities is essential for efficient, effective action.
- Allows managers and planners to rapidly assess landscape attributes and link these attributes with species/habitat information
- Provides resource managers a means to compare the conservation potential of local management units with that of the surrounding county, state, or region
- Can be applied to any taxa or suite of taxa and any landscape, given that spatial data.
- The Split By Attribute Tool is a customization of ArcMap.
- The tool takes a single shapefile and splits it into many shapefiles based on the unique values of a chosen field.
- If the user has made a selection on a shapefile, then only those features that have been selected will be split.
- Each output layer will named with the following structure: user supplied base name + split value.
The Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has collected millions of records of information over 20+ years. Fisheries, water quality, vegetation, and invertebrates have all been sampled. Geographic locations were collected for all sampling points.
Evapotranspiration units and potential areas of groundwater discharge delineated July 20–24, 2009 in the upper Humboldt River Basin, northeastern Nevada
The data set consists of 2 separate items for the upper Humboldt River Basin:
1. evapotranspiration units
2. potential areas of groundwater discharge
Groundwater-level and groundwater-level change contours for the Lahontan Valley shallow aquifer near Fallon, Nevada, 2012
One dataset contains contours representing water levels based on depth-to-groundwater measurements made at 98 wells in July 2012 in the Lahontan Valley. The second dataset contains contours representing water level change in the shallow aquifer in Lahontan Valley from 1992-2012 based on depth-to-groundwater measurements made in 73 wells in 1992 and 2012, with limited measurements made in 2013.