skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Cumulative Spatial Impact Layers: A Novel Multivariate Spatio-Temporal Analytical Summarization Tool

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 paper 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 CSILs provides a more efficient and robust approach to assess a range of multivariate spatial data for a variety of uses.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [1]; ORCiD logo [3];  [1]; ORCiD logo [3]
  1. National Energy Technology Lab. (NETL), Albany, OR (United States); Leidos Research Support Team, Albany, OR (United States)
  2. National Energy Technology Lab. (NETL), Albany, OR (United States); Arizona State Univ., Phoenix, AZ (United States)
  3. 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. doi: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. doi: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 = {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 paper 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 CSILs 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 = {2019},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Save / Share:

Works referenced in this record:

Potential Impact of the Deepwater Horizon Oil Spill on Commercial Fisheries in the Gulf of Mexico
journal, July 2011


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
  • DOI: 10.1002/2016JB013918

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
  • DOI: 10.18785/goms.3101.02

Big data driven smart energy management: From big data to big insights
journal, April 2016


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
  • DOI: 10.1002/widm.25

A simple evacuation modeling and simulation tool for first responders
conference, April 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
  • DOI: 10.1139/f2011-171

High-rate injection is associated with the increase in U.S. mid-continent seismicity
journal, June 2015


Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
journal, August 2014


Oklahoma’s recent earthquakes and saltwater disposal
journal, June 2015


Induced seismicity and hydraulic fracturing for the recovery of hydrocarbons
journal, August 2013


Visualizing Big data with Compressed Score Plots: Approach and research challenges
journal, July 2014


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)
  • DOI: 10.1109/HICSS.2013.645

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
  • DOI: 10.1177/0047287513482775

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)
  • DOI: 10.1109/IC3.2013.6612229