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.
Data are population size estimates for monarch butterflies overwintering in Mexico as well as 76 potential stressors and 3 correlates. These stressors include disease, pesticide, herbicide, temperature, precipitation, and habitat loss measured for Mexican overwintering area and Southern, North Central, and Northeastern breeding areas.
These maps, charts, and tables show the amount of total nitrogen and total phosphorus delivered to Pacific Coast estuaries and the contribution from upstream sources to those loads. The results come from the USGS SPARROW models developed for the Pacific Northwest and California.
Crane Creek is a Great Lakes Restoration Initiative-funded coastal wetland restoration project that seeks to reconnect the diked coastal marsh to Crane Creek and improve water quality and fish habitat. Vegetation sampling data and previously completed vegetation maps exist for this study area and will be used to assist in the interpretation of the 2014 imagery.
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 ...
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.
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 ...
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 ...