Cumulative Spatial Impact Layers: A Novel Multivariate Spatio-Temporal Analytical Summarization Tool
Abstract
Abstract Scientific inquiry often requires analysis of multiple spatio‐temporal datasets, ranging in type and size, using complex multi‐step processes demanding an understanding of GIS theory and software. Cumulative spatial impact layers (CSIL) is a GIS‐based tool that summarizes spatio‐temporal datasets based on overlapping features and attributes. Leveraging a recursive quadtree method, and applying multiple additive frameworks, the CSIL tool allows users to analyze raster and vector datasets by calculating data, record, or attribute density. Providing an efficient and robust method for summarizing disparate, multi‐format, multi‐source geospatial data, CSIL addresses the need for a new integration approach and resulting geospatial product. The built‐in flexibility of the CSIL tool allows users to answer a range of spatially driven questions. Example applications are provided in this article to illustrate the versatility and variety of uses for this CSIL tool and method. Use cases include addressing regulatory decision‐making needs, economic modeling, and resource management. Performance reviews for each use case are also presented, demonstrating how CSIL provides a more efficient and robust approach to assess a range of multivariate spatial data for a variety of uses.
- Authors:
-
[1];
[2];
[3];
[3]
- National Energy Technology Lab. (NETL), Albany, OR (United States); Leidos Research Support Team, Albany, OR (United States)
- National Energy Technology Lab. (NETL), Albany, OR (United States); Arizona State Univ., Phoenix, AZ (United States)
- National Energy Technology Lab. (NETL), Albany, OR (United States)
- Publication Date:
- Research Org.:
- National Energy Technology Lab. (NETL), Albany, OR (United States)
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- OSTI Identifier:
- 1524454
- Alternate Identifier(s):
- OSTI ID: 1545898
- Grant/Contract Number:
- FE0004000; 122409
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Transactions in GIS
- Additional Journal Information:
- Journal Volume: 23; Journal Issue: 5; Journal ID: ISSN 1467-9671
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; Spatio-temporal Analysis; Multivariate Visualization; Spatial Overlay
Citation Formats
Romeo, Lucy, Nelson, Jake, Wingo, Patrick, Bauer, Jennifer, Justman, Devin, and Rose, Kelly. Cumulative Spatial Impact Layers: A Novel Multivariate Spatio-Temporal Analytical Summarization Tool. United States: N. p., 2019.
Web. doi:10.1111/tgis.12558.
Romeo, Lucy, Nelson, Jake, Wingo, Patrick, Bauer, Jennifer, Justman, Devin, & Rose, Kelly. Cumulative Spatial Impact Layers: A Novel Multivariate Spatio-Temporal Analytical Summarization Tool. United States. https://doi.org/10.1111/tgis.12558
Romeo, Lucy, Nelson, Jake, Wingo, Patrick, Bauer, Jennifer, Justman, Devin, and Rose, Kelly. Tue .
"Cumulative Spatial Impact Layers: A Novel Multivariate Spatio-Temporal Analytical Summarization Tool". United States. https://doi.org/10.1111/tgis.12558. https://www.osti.gov/servlets/purl/1524454.
@article{osti_1524454,
title = {Cumulative Spatial Impact Layers: A Novel Multivariate Spatio-Temporal Analytical Summarization Tool},
author = {Romeo, Lucy and Nelson, Jake and Wingo, Patrick and Bauer, Jennifer and Justman, Devin and Rose, Kelly},
abstractNote = {Abstract Scientific inquiry often requires analysis of multiple spatio‐temporal datasets, ranging in type and size, using complex multi‐step processes demanding an understanding of GIS theory and software. Cumulative spatial impact layers (CSIL) is a GIS‐based tool that summarizes spatio‐temporal datasets based on overlapping features and attributes. Leveraging a recursive quadtree method, and applying multiple additive frameworks, the CSIL tool allows users to analyze raster and vector datasets by calculating data, record, or attribute density. Providing an efficient and robust method for summarizing disparate, multi‐format, multi‐source geospatial data, CSIL addresses the need for a new integration approach and resulting geospatial product. The built‐in flexibility of the CSIL tool allows users to answer a range of spatially driven questions. Example applications are provided in this article to illustrate the versatility and variety of uses for this CSIL tool and method. Use cases include addressing regulatory decision‐making needs, economic modeling, and resource management. Performance reviews for each use case are also presented, demonstrating how CSIL provides a more efficient and robust approach to assess a range of multivariate spatial data for a variety of uses.},
doi = {10.1111/tgis.12558},
journal = {Transactions in GIS},
number = 5,
volume = 23,
place = {United States},
year = {Tue Jan 01 00:00:00 EST 2019},
month = {Tue Jan 01 00:00:00 EST 2019}
}
Free Publicly Available Full Text
Publisher's Version of Record
Other availability
Search WorldCat to find libraries that may hold this journal
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Potential Impact of the Deepwater Horizon Oil Spill on Commercial Fisheries in the Gulf of Mexico
journal, July 2011
- McCrea-Strub, A.; Kleisner, K.; Sumaila, U. R.
- Fisheries, Vol. 36, Issue 7
Spatiotemporal distribution of Oklahoma earthquakes: Exploring relationships using a nearest-neighbor approach: NEAREST-NEIGHBOR ANALYSIS OF OKLAHOMA
journal, July 2017
- Vasylkivska, Veronika S.; Huerta, Nicolas J.
- Journal of Geophysical Research: Solid Earth, Vol. 122, Issue 7
Economic Impact of Gulf of Mexico Ecosystem Goods and Services and Integration Into Restoration Decision-Making
journal, January 2013
- Shepard, Andrew N.; Valentine, John F.; D'Elia, Christopher F.
- Gulf of Mexico Science, Vol. 31, Issue 1
Big data driven smart energy management: From big data to big insights
journal, April 2016
- Zhou, Kaile; Fu, Chao; Yang, Shanlin
- Renewable and Sustainable Energy Reviews, Vol. 56
Identifying patterns in spatial information: A survey of methods
journal, April 2011
- Shekhar, Shashi; Evans, Michael R.; Kang, James M.
- Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 1, Issue 3
Variable Grid Method: An Intuitive Approach for Simultaneously Quantifying and Visualizing Spatial Data and Uncertainty: Variable Grid Method for Communicating Uncertainty
journal, June 2015
- Bauer, Jennifer R.; Rose, Kelly
- Transactions in GIS, Vol. 19, Issue 3
A simple evacuation modeling and simulation tool for first responders
conference, April 2015
- Koch, Daniel B.; Payne, Patricia W.
- SoutheastCon 2015
Impact of the Deepwater Horizon well blowout on the economics of US Gulf fisheries
journal, March 2012
- Sumaila, U. Rashid; Cisneros-Montemayor, Andrés M.; Dyck, Andrew
- Canadian Journal of Fisheries and Aquatic Sciences, Vol. 69, Issue 3
High-rate injection is associated with the increase in U.S. mid-continent seismicity
journal, June 2015
- Weingarten, M.; Ge, S.; Godt, J. W.
- Science, Vol. 348, Issue 6241
Mechanical and statistical evidence of the causality of human-made mass shifts on the Earth’s upper crust and the occurrence of earthquakes
journal, September 2012
- Klose, Christian D.
- Journal of Seismology, Vol. 17, Issue 1
Approach for assessing coastal vulnerability to oil spills for prevention and readiness using GIS and the Blowout and Spill Occurrence Model
journal, August 2015
- Nelson, J. R.; Grubesic, T. H.; Sim, L.
- Ocean & Coastal Management, Vol. 112
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
journal, August 2014
- Philip Chen, C. L.; Zhang, Chun-Yang
- Information Sciences, Vol. 275
Oklahoma’s recent earthquakes and saltwater disposal
journal, June 2015
- Walsh, F. Rall; Zoback, Mark D.
- Science Advances, Vol. 1, Issue 5
Induced seismicity and hydraulic fracturing for the recovery of hydrocarbons
journal, August 2013
- Davies, Richard; Foulger, Gillian; Bindley, Annette
- Marine and Petroleum Geology, Vol. 45
Visualizing Big data with Compressed Score Plots: Approach and research challenges
journal, July 2014
- Camacho, José
- Chemometrics and Intelligent Laboratory Systems, Vol. 135
Big Data: Issues and Challenges Moving Forward
conference, January 2013
- Kaisler, Stephen; Armour, Frank; Espinosa, J. Alberto
- 2013 46th Hawaii International Conference on System Sciences (HICSS)
Understanding the Effects of a Tourism Crisis: The Impact of the BP Oil Spill on Regional Lodging Demand
journal, April 2013
- Ritchie, Brent W.; Crotts, John C.; Zehrer, Anita
- Journal of Travel Research, Vol. 53, Issue 1
Big data: Issues, challenges, tools and Good practices
conference, August 2013
- Katal, Avita; Wazid, Mohammad; Goudar, R. H.
- 2013 Sixth International Conference on Contemporary Computing (IC3)