Integration
Active
By Center of Excellence for Geospatial Information Science (CEGIS)
January 23, 2025
Integration
part of the Data management theme from CEGIS
part of the Data management theme from CEGIS
USGS geospatial data comes in many formats and in many scales.
It could be the notes of a surveyor mapping the Colorado River in the nineteenth century or the measurement of the atmosphere from a contemporary weather balloon.
An important role of DM is integrating the diverse information and making it useable to various users.
Data Integration research at CEGIS primarily involves integrating data from The National Map with selected datasets needed to support visualization, analysis, modeling and decision making efforts of the USGS, other government agencies and the general public.
Goals for data integration research
Goals for data integration research
The multidisciplinary nature of modern scientific research requires the analysis of complex data from a variety of sources. Data integration is the key by which these data can be brought together and utilized to promote scientific inquiry.
In a 2007 study entitled Facing Tomorrow’s Challenges (USGS Circular 1309), several strategic actions were recommended for USGS consideration in the decade ahead. These include:
- Develop and implement a comprehensive scientific cataloging strategy that combines existing data sets resulting in an integrated science catalog.
- Identify and support authoritative data sources within USGS programs and encourage development and adoption of standards.
- Identify and leverage national and international efforts that promote comprehensive data and information management and foster greater sharing of knowledge and expertise.
- Partner with collaborators and customers to facilitate data integration across worldwide science communities
- Partner in the development of informatics tools and infrastructure that contribute to the evolving global science computing and collaboration platform.
Towards these ends, the goal of data integration research at CEGIS is to develop methods to combine data from The National Map with selected datasets necessary to support visualization, analysis, modeling and decision-making efforts within the USGS, other government agencies and the general public.
Publications
Publications
You will find here a sampling of publications. More are available and are being published throughout the year.
Check back often or view our custom search for more!
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A guide to creating an effective big data management framework
Many agencies and organizations, such as the U.S. Geological Survey, handle massive geospatial datasets and their auxiliary data and are thus faced with challenges in storing data and ingesting it, transferring it between internal programs, and egressing it to external entities. As a result, these agencies and organizations may inadvertently devote unnecessary time and money to convey...Open knowledge network roadmap: Powering the next data revolution
Open access to shared information is essential for the development and evolution of artificial intelligence (AI) and AI-powered solutions needed to address the complex challenges facing the nation and the world. The Open Knowledge Network (OKN), an interconnected network of knowledge graphs, would provide an essential public-data infrastructure for enabling an AI-driven future. It would...GeoAI in the US Geological Survey for topographic mapping
Geospatial artificial intelligence (GeoAI) can be defined broadly as the application of artificial intelligence methods and techniques to geospatial data, processes, models, and applications. The application of these methods to topographic data and phenomena is a focus of research in the US Geological Survey (USGS). Specifically, the USGS has researched and developed applications in...The 4th paradigm in multiscale data representation: Modernizing the National Geospatial Data Infrastructure
The need of citizens in any nation to access geospatial data in readily usable form is critical to societal well-being, and in the United States (US), demands for information by scientists, students, professionals and citizens continue to grow. Areas such as public health, urbanization, resource management, economic development and environmental management require a variety of data...Spatial data reduction through element -of-interest (EOI) extraction
Any large, multifaceted data collection that is challenging to handle with traditional management practices can be branded ‘Big Data.’ Any big data containing geo-referenced attributes can be considered big geospatial data. The increased proliferation of big geospatial data is currently reforming the geospatial industry into a data-driven enterprise. Challenges in the big spatial data...Modeling and simulation of emergent behavior in transportation infrastructure restoration
The objective of this chapter is to create a methodology to model the emergent behavior during a disruption in the transportation system and that calculates economic losses due to such a disruption, and to understand how an extreme event affects the road transportation network. The chapter discusses a system dynamics approach which is used to model the transportation road infrastructure...Elevation Difference and Bouguer Anomaly Analysis Tool (EDBAAT) User's Guide
This report describes a software tool that imports gravity anomaly point data from the Gravity Database of the United States (GDUS) of the National Geospatial-Intelligence Agency and University of Texas at El Paso along with elevation data from The National Map (TNM) of the U.S. Geological Survey that lie within a user-specified geographic area of interest. Further, the tool integrates...Infrastructure system restoration planning using evolutionary algorithms
This paper presents an evolutionary algorithm to address restoration issues for supply chain interdependent critical infrastructure. Rapid restoration of infrastructure after a large-scale disaster is necessary to sustaining a nation's economy and security, but such long-term restoration has not been investigated as thoroughly as initial rescue and recovery efforts. A model of the...Post-disaster supply chain interdependent critical infrastructure system restoration: A review of data necessary and available for modeling
The majority of restoration strategies in the wake of large-scale disasters have focused on short-term emergency response solutions. Few consider medium- to long-term restoration strategies to reconnect urban areas to national supply chain interdependent critical infrastructure systems (SCICI). These SCICI promote the effective flow of goods, services, and information vital to the...Conflation and integration of archived geologic maps and associated uncertainties
Old, archived geologic maps are often available with little or no associated metadata. This creates special problems in terms of extracting their data to use with a modern database. This research focuses on some problems and uncertainties associated with conflating older geologic maps in regions where modern geologic maps are, as yet, non-existent as well as vertically integrating the...A Systems Thinking approach to post-disaster restoration of maritime transportation systems
A Systems Thinking approach is used to examine elements of a maritime transportation system that are most likely to be impacted by an extreme event. The majority of the literature uses a high-level view that can fail to capture the damage at the sub-system elements. This work uses a system dynamics simulation for a better view and understanding of the Port of San Juan, Puerto Rico, as a...Integrating complexity into data-driven multi-hazard supply chain network strategies
Major strategies in the wake of a large-scale disaster have focused on short-term emergency response solutions. Few consider medium-to-long-term restoration strategies that reconnect urban areas to the national supply chain networks (SCN) and their supporting infrastructure. To re-establish this connectivity, the relationships within the SCN must be defined and formulated as a model of a...Integrating stations from the North America Gravity Database into a local GPS-based land gravity survey
The ability to augment local gravity surveys with additional gravity stations from easily accessible national databases can greatly increase the areal coverage and spatial resolution of a survey. It is, however, necessary to integrate such data seamlessly with the local survey. One challenge to overcome in integrating data from national databases is that these data are typically of...Rejuvenating Pre-GPS era geophysical surveys using The National Map
Old geophysical surveys [pre–Global Positioning System (GPS)] stand as valuable, largely untapped sources of scientific data. If data from these surveys were in a format that had reasonable accuracy, availability, and ease of access, they could be more widely used. In this paper, a pre-GPS survey is integrated into a modern geographic database, in this case, The National Map (TNM). The...
CEGIS science themes
CEGIS science themes
Theme topics home
Theme topics home
Data management
Data management
Big data
Big data
Catalog/convey
Catalog/convey
Integration
Integration
Supply chain interdependent critical infrastructure restoration
While emergency responses to large-scale natural or man-made disasters are fairly well studies, less attention has been paid to returning an urban environment to its former state of normality (its resiliency). The most recent start-up project at CEGIS involves integrating geospatial data from The National Map and other sources with infrastructure data and supply chain data to model.
Integration of geophysical data with The National Map data
The geophysical data integration project at CEGIS currently involves leveraging large web-based data sets with local surveys and The National Map in order to extend the range and the resolution of such surveys with a minimum expenditure on additional field time. Most recently this has been applied to the North American Gravity Database.
Integration of under-utilized USGS data sets
This research partition looks at integrating various data sets with The National Map data layers in order to promote scientific endeavors, public safety, economic assets or quality of life. Recent efforts have included:
CEGIS - Denver, Colorado
CEGIS - Denver, Colorado
CEGIS - Rolla, Missouri
CEGIS - Rolla, Missouri
CEGIS science themes
CEGIS science themes
Theme topics home
Theme topics home
Data management
Data management
Big data
Big data
Catalog/convey
Catalog/convey
Integration
Integration
Supply chain interdependent critical infrastructure restoration
While emergency responses to large-scale natural or man-made disasters are fairly well studies, less attention has been paid to returning an urban environment to its former state of normality (its resiliency). The most recent start-up project at CEGIS involves integrating geospatial data from The National Map and other sources with infrastructure data and supply chain data to model.
Integration of geophysical data with The National Map data
The geophysical data integration project at CEGIS currently involves leveraging large web-based data sets with local surveys and The National Map in order to extend the range and the resolution of such surveys with a minimum expenditure on additional field time. Most recently this has been applied to the North American Gravity Database.
Integration of under-utilized USGS data sets
This research partition looks at integrating various data sets with The National Map data layers in order to promote scientific endeavors, public safety, economic assets or quality of life. Recent efforts have included:
CEGIS - Denver, Colorado
CEGIS - Denver, Colorado
CEGIS - Rolla, Missouri
CEGIS - Rolla, Missouri