Publications
Filter Total Items: 103
High performance computing to support multiscale representation of hydrography for the conterminous United States
The National Hydrography Dataset (NHD) for the United States furnishes a comprehensive set of vector features representing the surface-waters in the country (U.S. Geological Survey 2000). The high-resolution (HR) layer of the NHD is largely comprised of hydrographic features originally derived from 1:24,000-scale (24K) U.S. Topographic maps. However, in recent years (2009 to present) densified hyd
Authors
Larry V. Stanislawski, Yan Liu, Barbara P. Buttenfield, Kornelijus Survila, Jeffrey Wendel, Abdurraouf Okok
Defining resilience: A preliminary integrative literature review
The term “resilience” is ubiquitous in technical literature; it appears in numerous forms, such as resilience, resiliency, or resilient, and each use may have a different definition depending on the interpretation of the writer. This creates difficulties in understanding what is meant by ‘resilience’ in any given use case, especially in discussions of interdisciplinary research. To better understa
Authors
Bonnie Wilt, Suzanna K. Long, Thomas G. Shoberg
Evaluation of the U.S. Geological Survey standard elevation products in a two-dimensional hydraulic modeling application for a low relief coastal floodplain
Growing use of two-dimensional (2-D) hydraulic models has created a need for high resolution data to support flood volume estimates, floodplain specific engineering data, and accurate flood inundation scenarios. Elevation data are a critical input to these models that guide the flood-wave across the landscape allowing the computation of valuable engineering specific data that provides a better und
Authors
Emitt C. Witt
Geospatial resources for the geologic community: The USGS National Map
Geospatial data are a key component of investigating, interpreting, and communicating the geological sciences. Locating geospatial data can be time-consuming, which detracts from time spent on a study because these data are not obviously placed in central locations or are served from many disparate databases. The National Map of the US Geological Survey is a publicly available resource for accessi
Authors
Emitt C. Witt
An evaluation of unsupervised and supervised learning algorithms for clustering landscape types in the United States
Knowledge of landscape type can inform cartographic generalization of hydrographic features, because landscape characteristics provide an important geographic context that affects variation in channel geometry, flow pattern, and network configuration. Landscape types are characterized by expansive spatial gradients, lacking abrupt changes between adjacent classes; and as having a limited number of
Authors
Jochen Wendel, Barbara P. Buttenfield, Larry V. Stanislawski
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 whole syst
Authors
Lizzette Pérez Lespier, Suzanna K. Long, Thomas G. Shoberg
Complex Topographic Feature Ontology Patterns
Semantic ontologies are examined as effective data models for the representation of complex topographic feature types. Complex feature types are viewed as integrated relations between basic features for a basic purpose. In the context of topographic science, such component assemblages are supported by resource systems and found on the local landscape. Ontologies are organized within six thematic m
Authors
Dalia E. Varanka, Thomas J. Jerris
Synoptic evaluation of scale-dependent metrics for hydrographic line feature geometry
Methods of acquisition and feature simplification for vector feature data impact cartographic representations and scientific investigations of these data, and are therefore important considerations for geographic information science (Haunert and Sester 2008). After initial collection, linear features may be simplified to reduce excessive detail or to furnish a reduced-scale version of the features
Authors
Larry V. Stanislawski, Barbara P. Buttenfield, Paulo Raposo, Madeline Cameron, Jeff T. Falgout
Crisis crowdsourcing framework: designing strategic configurations of crowdsourcing for the emergency management domain
Crowdsourcing is not a new practice but it is a concept that has gained significant attention during recent disasters. Drawing from previous work in the crisis informatics, disaster sociology, and computer-supported cooperative work (CSCW) literature, the paper first explains recent conceptualizations of crowdsourcing and how crowdsourcing is a way of leveraging disaster convergence. The CSCW conc
Authors
Sophia B. Liu
Generalisation operators
This chapter summarises cartographic generalisation operators used to generalise geospatial data. It includes a review of recent approaches that have been tested or implemented to generalise networks, points, or groups. Emphasis is placed on recent advances that permit additional flexibility to tailor generalisation processing in particular geographic contexts, and to permit more advanced types of
Authors
Larry V. Stanislawski, Barbara P. Buttenfield, Pia Bereuter, Sandro Savino, Cynthia A. Brewer
Center of Excellence for Geospatial Information Science research plan 2013-18
The U.S. Geological Survey Center of Excellence for Geospatial Information Science (CEGIS) was created in 2006 and since that time has provided research primarily in support of The National Map. The presentations and publications of the CEGIS researchers document the research accomplishments that include advances in electronic topographic map design, generalization, data integration, map projectio
Authors
E. Lynn Usery
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 unknown quality
Authors
Thomas G. Shoberg, Paul R. Stoddard