Publications
Filter Total Items: 99
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
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
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
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
Spatial Relation Predicates in Topographic Feature Semantics
Topographic data are designed and widely used for base maps of diverse applications, yet the power of these information sources largely relies on the interpretive skills of map readers and relational database expert users once the data are in map or geographic information system (GIS) form. Advances in geospatial semantic technology offer data model alternatives for explicating concepts and articu
Authors
Dalia E. Varanka, Holly K. Caro
Introduction to geospatial semantics and technology workshop handbook
The workshop is a tutorial on introductory geospatial semantics with hands-on exercises using standard Web browsers. The workshop is divided into two sections, general semantics on the Web and specific examples of geospatial semantics using data from The National Map of the U.S. Geological Survey and the Open Ontology Repository. The general semantics section includes information and access to pub
Authors
Dalia E. Varanka
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 ultimate go
Authors
Michael P. Finn, Thomas G. Shoberg, Paul Stoddard
The use of U.S. Geological Survey digital geospatial data products for science research
The development of geographic information system (GIS) transformed the practice of geographic science research. The availability of low-cost, reliable data by the U.S. Geological Survey (USGS) supported the advance of GIS in the early stages of the transition to digital technology. To estimate the extent of the scientific use of USGS digital geospatial data products, a search of science literature
Authors
Dalia E. Varanka, Carol Deering, Holly Caro