K Sparks
Biographic Data
| ID | 6582649 |
|---|---|
| NAME | K Sparks |
| GIVEN NAMES | K |
| FAMILY NAME | Sparks |
| SIGNATURE | SPARKS K |
| AFFILIATIONS | Oak Ridge National Laboratory |
| ORCID | 0000-0002-0340-8090 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Spatial analysis of social capital and community heterogeneity at the United States county level
Social capital, defined as the resources or benefits received through one's connections with others, contributes to economic efficiency, growth of communities, and population health. In 2006, Rupasingha et al. [1] developed a high-quality, US county-level social capital index based on individuals' participation in associational activities, trust, and civic engagement which is available for years 1990, 1997, 2005, 2009, and 2014. Since their intro…
Shifting temporal dynamics of human mobility in the United States
In this paper we analyze the average hourly temporal dynamics of human mobility in the United States from 2019 to 2020. We discuss how large decreases in human mobility nonuniformly effect the daily temporal dynamics of aggregate human behavior. The data used are weekly activity patterns for POIs from 2019 to 2020 in the United States, provided by SafeGraph and made openly available to academic and research institutions. We use clustering methods…
Automated thinning of road networks and road labels for multiscale design of The National Map of the United States
This paper reports on progress in generalization and selective feature removal for a subset of fundamental base map layers that enables competent mapping through scales ranging from 1:24,000 to 1:1,000,000. Thinning and partitioning methods are applied to road features and labels for The National Map of the United States. Roads are thinned adaptively using the ArcGIS Thin Road Network geoprocessing tool, which removes features by feature hierarch…
Automated thinning of road networks and road labels for multiscale design of The National Map of the United States
This paper reports on progress in generalization and selective feature removal for a subset of fundamental base map layers that enables competent mapping through scales ranging from 1:24,000 to 1:1,000,000. Thinning and partitioning methods are applied to road features and labels for The National Map of the United States. Roads are thinned adaptively using the ArcGIS Thin Road Network geoprocessing tool, which removes features by feature hierarch…
Shifting temporal dynamics of human mobility in the United States
In this paper we analyze the average hourly temporal dynamics of human mobility in the United States from 2019 to 2020. We discuss how large decreases in human mobility nonuniformly effect the daily temporal dynamics of aggregate human behavior. The data used are weekly activity patterns for POIs from 2019 to 2020 in the United States, provided by SafeGraph and made openly available to academic and research institutions. We use clustering methods…
Automated thinning of road networks and road labels for multiscale design of The National Map of the United States
This paper reports on progress in generalization and selective feature removal for a subset of fundamental base map layers that enables competent mapping through scales ranging from 1:24,000 to 1:1,000,000. Thinning and partitioning methods are applied to road features and labels for The National Map of the United States. Roads are thinned adaptively using the ArcGIS Thin Road Network geoprocessing tool, which removes features by feature hierarch…
Shifting temporal dynamics of human mobility in the United States
In this paper we analyze the average hourly temporal dynamics of human mobility in the United States from 2019 to 2020. We discuss how large decreases in human mobility nonuniformly effect the daily temporal dynamics of aggregate human behavior. The data used are weekly activity patterns for POIs from 2019 to 2020 in the United States, provided by SafeGraph and made openly available to academic and research institutions. We use clustering methods…
Spatial analysis of social capital and community heterogeneity at the United States county level
Social capital, defined as the resources or benefits received through one's connections with others, contributes to economic efficiency, growth of communities, and population health. In 2006, Rupasingha et al. [1] developed a high-quality, US county-level social capital index based on individuals' participation in associational activities, trust, and civic engagement which is available for years 1990, 1997, 2005, 2009, and 2014. Since their intro…
Geography (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Economics (2 works) · Automated Road and Building Extraction (1 work) · Capital (architecture) (1 work) · Cartographic generalization (1 work) · Cartography (1 work) · Civic engagement (1 work) · Coronavirus disease 2019 (COVID-19 (1 work)