Appendix D. Glossary of Abbreviations and Terms

 

ACWI

Advisory Committee on Water Information

AIP

Architecture Implementation Pilot

ANSI

American National Standards Institute

API

Application Programming Interface

ATWG

Architecture and Technology Working Group

BLM

Bureau of Land Management

CAP

Cooperative Agreements Program

CKAN

Comprehensive Knowledge Archive Network

CIO

Chief Information Officer

CSDGM

Content Standard for Digital Geospatial Metadata

CSW

Catalog Service for the Web

Data-CORE

Data Collection of Open Resources for Everyone

DHS

U.S. Department of Homeland Security

DOI

U.S. Department of the Interior

DOQQ

Digital Orthophoto Quarter Quadrangle

EPA

U.S. Environmental Protection Agency

EROS

Earth Resources Observation and Science Center

ESA

Ecological Society of America

FedRAMP

Federal Risk and Authorization Managment Program

FGDC

Federal Geographic Data Committee

FSA

Farm Service Agency

FWS

U.S. Fish and Wildlife Service

GAO

Government Accountability Office

GEO

Group on Earth Observations

GeoCloud

Geospatial Cloud

GEOSS

Global Earth Observation System of Systems

GIS

Geographic Information System

GML

Geography Markup Language

GPS

Global Positioning System

GSA

General Services Administration

GSDI

Global Spatial Data Infrastructure

GWG

Geospatial Intelligence Standards Working Group

GWML

Ground Water Markup Language

ICSU CODATA     

International Council for Science’s Committee on Data for Science and Technology     

IENC

Inland Electronic Navigation Charts

ifsar

interferometric synthetic aperture radar

INCITS

International Committee for Information Technology Standards

INSPIRE

Infrastructure for Spatial Information in the European Community

ISO

International Organization for Standardization

IT

Information Technology

lidar

light detection and ranging

LU/LC

Land Use/Land Cover

MWG

Metadata Working Group

NAIP

National Agriculture Imagery Program

NASA

National Aeronautics and Space Administration

NCGMP

National Cooperative Geologic Mapping Program

NDOP

National Digital Orthophoto Program

NED

National Elevation Dataset

NGA

National Geospatial-Intelligence Agency

NGAC

National Geospatial Advisory Committee

NGDA

National Geospatial Data Asset

NHD

National Hydrography Dataset

NOAA

National Oceanic and Atmospheric Administration

NPS

National Park Service

NRCS

Natural Resources Conservation Service

NSDI

National Spatial Data Infrastructure

NVC

National Vegetation Classification

NWI

National Wetlands Inventory

O&M

Observations and Measurements

OGC

Open Geospatial Consortium, Inc.

OMB

Office of Managment and Budget

OSTP

Office of Science and Technology Policy

OWS

Open Web Services

PLSS

Public Land Survey System

ROI

Return on Investment

SAOGI

Senior Agency Official for Geospatial Information

SDI

Spatial Data Infrastructure

SSWD

Subcommittee on Spatial Water Data

3D

Three-dimensional

3DEP

Three-dimensional Elevation Program

UHDWG

Users/Historical Data Working Group

USDA

U.S. Department of Agriculture

USFS

U.S. Forest Service

USGEO

U.S. Group on Earth Observations

USGS

U.S. Geological Survey

WaterML

Water Markup Language

WBD

Watershed Boundary Dataset

WCS

Wetlands Classification Standard

WFS

Web Feature Service

WMS

Web Mapping Service

XML

Extensible Markup Language

 

Success Story
_____________

Capitalizing on Joint Agency Coordination
................................................................................................................................................................................

Challenge: Since the inception of The National Map, roads data from the U.S. Census Bureau’s Topologically Integrated Geographic Encoding and Referencing (TIGER) system have been an important component. The data are produced as part of the decennial Census program and are published in the public domain. In 2009, when the USGS began producing US Topo maps from The National Map data, TIGER was expected to be the source for roads features. However, initial investigations demonstrated that significant editing would be required. Consequently, the USGS purchased a license to use commercial roads data on US Topo maps and in The National Map viewer until such time that a suitable national, public domain dataset could be found. Since that time the Census Bureau has initiated several programs to improve the accuracy of the TIGER roads data, and with the USGS has forged a partnership to make TIGER data available via The National Map.

 

Action: In 2011, the Census Bureau and the USGS commissioned an interagency team to evaluate the use of TIGER as the primary source for roads data in The National Map. The goal of the group was to articulate requirements that support the USGS’ use of TIGER data as the roads layer for The National Map and to evaluate TIGER against these requirements.

 

Result: The interagency team documented requirements for representation and attribution of roads features for both TIGER data and The National Map. While some minor differences continue, the team found a significant amount of commonality in the requirements, especially for the most critical features: interstate highways and local roads.

The team evaluated how well the Census Bureau’s 2012 TIGER/Line® data met the requirements of The National Map. The findings showed that the quality of TIGER data has significantly improved since 2009, and subsequent update operations including the Census Bureau’s Geographic Support Services Initiative (GSS-I) activities will continue to improve the data. As a result, USGS and Census Bureau management accepted the team’s recommendation that TIGER data be adopted as the roads source for The National Map. A series of interagency teams have been formed to address implementation issues and a Memorandum of Understanding is being developed to document the roles and responsibilities of a long-term joint effort to use TIGER roads data in The National Map, including the US Topo maps.


This joint agency coordination effort capitalizes on the return on Federal investment in geospatial data by reducing costs and ensuring that users of The National Map have access to public domain data.

 


 

Main Report

Appendix A

Appendix B

Appendix C

Appendix D