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Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Citation (4) Contacts U.S. Geological Survey U.S. Geological Survey, National Geospatial Technical Operations Center USGS - National Geospatial Technical Operations Center (NGTOC) Cardillo, M Ewing, R C More... Categories Publication (4) Tag Types Theme (2) Place (2) Tag Schemes none (2) ISO 19115 Topic Category (2) Geographic Names Information System (2) NGDA Portfolio Themes (1) The National Map Theme Thesaurus (2) The National Map Type Thesaurus (2) View Results as: JSON ATOM CSV

USGS Geographic Names (GNIS) Overlay Map Service from The National Map - National Geospatial Data Asset (NGDA) Geographic Names Information System (GNIS) USGS developed The National Map (TNM) Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica,... Types: Citation; Tags: BGN, Cultural Resources Theme, GNIS, Geographic Names, NGDA, All tags... NGP-TNM, National Geospatial Data Asset, Overlay Map Service, REST, US, United States, WFS, WMS, a-16, administrative, board on geographic names, cemetery, community, cultural, cultural resource, feature id, federal, gazetteer, geographic, governmental unit, historical, hydrography, inlandWaters, landform, location, name, place, populated place, society, statistical, structure, structure, toponomy, toponym, toponymic, transportation, variant name, water, Fewer tags Comment on "Probabilistic risk analysis for a high-level radioactive waste repository" by B. L. Cohen in Risk Analysis, volume 23, 909-915 Categories: Publication; Types: Citation; Tags: Humans, Models, Neoplasms, Radiation-In, Statistical USGS Governmental Unit Boundaries Overlay Map Service from The National Map The USGS Governmental Unit Boundaries service from The National Map (TNM) represents major civil areas for the Nation, including States or Territories, counties (or equivalents), Federal and Native American areas, congressional districts, minor civil divisions, incorporated places (such as cities and towns), and unincorporated places. Boundaries data are useful for understanding the extent of jurisdictional or administrative areas for a wide range of applications, including mapping or managing resources, and responding to natural disasters. Boundaries data also include extents of forest, grassland, park, wilderness, wildlife, and other reserve areas useful for recreational activities, such as hiking and backpacking.... Types: Citation; Tags: Boundaries, NGP-TNM, Overlay Map Service, REST, US, All tags... United States, WFS, WMS, administrative, borough, boundaries, boundary, city, city and borough, congressional district, county, federal, gazetteer, government, governmental unit, incorporated place, minor civil division, municipal, municipio, native american area, parish, reserve, state, statistical, territory, town, unincorporated place, village, Fewer tags Latent extinction risk and the future battlegrounds of mammal conservation Global conservation prioritization usually emphasizes areas with highest species richness or where many species are thought to be at imminent risk of extinction. However, these strategies may overlook areas where many species have biological traits that make them particularly sensitive to future human impact but are not yet threatened because such impact is currently low. In this article, we identify such areas for the world's mammals using latent extinction risk, the discrepancy between a species' current extinction risk and that predicted from models on the basis of biological traits. Species with positive latent risk are currently less threatened than their biology would suggest, usually because they inhabit... Categories: Publication; Types: Citation; Tags: *Conservation of Natural Resources, *Ecosystem, *Mammals/classification, Animals, Biological, All tags... Databases, Factual, Humans, Models, Phylogeny, Risk, Statistical, Fewer tags Measuring protected-area isolation and correlations of isolation with land-use intensity and protection status Protected areas cover over 12% of the terrestrial surface of Earth, and yet many fail to protect species and ecological processes as originally envisioned. Results of recent studies suggest that a critical reason for this failure is an increasing contrast between the protected lands and the surrounding matrix of often highly altered land cover. We measured the isolation of 114 protected areas distributed worldwide by comparing vegetation-cover heterogeneity inside protected areas with heterogeneity outside the protected areas. We quantified heterogeneity as the contagion of greenness on the basis of NDVI (normalized difference vegetation index) values, for which a higher value of contagion indicates less heterogeneous... Categories: Publication; Types: Citation; Tags: *Ecosystem, Conservation of Natural Resources/*methods, Databases, Environment, Factual, All tags... Geography, Human Activities, Humans, Models, Plants, Statistical, Fewer tags Predicting species distributions from samples collected along roadsides Predictive models of species distributions are typically developed with data collected along roads. Roadside sampling may provide a biased (nonrandom) sample; however, it is currently unknown whether roadside sampling limits the accuracy of predictions generated by species distribution models. We tested whether roadside sampling affects the accuracy of predictions generated by species distribution models by using a prospective sampling strategy designed specifically to address this issue. We built models from roadside data and validated model predictions at paired locations on unpaved roads and 200 m away from roads (off road), spatially and temporally independent from the data used for model building. We predicted... Categories: Publication; Types: Citation; Tags: *Birds, Animals, Conservation of Natural Resources/*methods, Geographic Information Systems, Idaho, All tags... Models, Montana, Population Density, Statistical, Fewer tags