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Title: Cumulative Spatial Impact Layers

Abstract

Cumulative Spatial Impact Layers (CSIL) is a GIS-based tool that summarizes spatio-temporal datasets based on overlapping features and attributes. Applying a recursive quadtree method and multiple additive frameworks, the CSIL tool allows users to analyze raster and vector datasets simultaneously by calculating data, record, or attribute density. The CSIL tool was designed based on the original approach (Bauer et al. 2015) and more information on the tool overall along with applications can be found in Romeo et al. 2019). Providing an efficient summary of disparate geospatial data, CSIL bridges the gap between understanding data and analysis. Bauer, J. R., Nelson, J., Romeo, L., Eynard, J., Sim, L., Halama, J., Rose, K., & Graham, J. (2015). A spatio-temporal approach to analyze broad risks and potential impacts associated with uncontrolled hydrocarbon release events in the offshore Gulf of Mexico (NETL-TRS-2-2015 EPAct Technical Report Series). U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV; p 60. Romeo, L., Nelson, J., Wingo, P., Bauer, J., Justman, D., & Rose, K. (2019). Cumulative spatial impact layers: A novel multivariate spatio-temporal analytical summarization tool. Transactions in GIS.

Creator(s)/Author(s):
; ; ; ;
Publication Date:
Other Number(s):
4e3ed049-b693-405d-9c83-7a89ae038128
DOE Contract Number:  
1022409
Product Type:
Dataset
Research Org.:
National Energy Technology Laboratory - Energy Data eXchange; NETL
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
Keywords:
Multivariate Visualization; Spatial Overlay; Spatio-temporal Analysis
OSTI Identifier:
1491843
DOI:
10.18141/1491843

Citation Formats

Romeo, Lucy, Wingo, Patrick, Nelson, Jake, Bauer, Jennifer, and Rose, Kelly. Cumulative Spatial Impact Layers. United States: N. p., 2019. Web. doi:10.18141/1491843.
Romeo, Lucy, Wingo, Patrick, Nelson, Jake, Bauer, Jennifer, & Rose, Kelly. Cumulative Spatial Impact Layers. United States. doi:10.18141/1491843.
Romeo, Lucy, Wingo, Patrick, Nelson, Jake, Bauer, Jennifer, and Rose, Kelly. 2019. "Cumulative Spatial Impact Layers". United States. doi:10.18141/1491843. https://www.osti.gov/servlets/purl/1491843. Pub date:Thu Jan 24 00:00:00 EST 2019
@article{osti_1491843,
title = {Cumulative Spatial Impact Layers},
author = {Romeo, Lucy and Wingo, Patrick and Nelson, Jake and Bauer, Jennifer and Rose, Kelly},
abstractNote = {Cumulative Spatial Impact Layers (CSIL) is a GIS-based tool that summarizes spatio-temporal datasets based on overlapping features and attributes. Applying a recursive quadtree method and multiple additive frameworks, the CSIL tool allows users to analyze raster and vector datasets simultaneously by calculating data, record, or attribute density. The CSIL tool was designed based on the original approach (Bauer et al. 2015) and more information on the tool overall along with applications can be found in Romeo et al. 2019). Providing an efficient summary of disparate geospatial data, CSIL bridges the gap between understanding data and analysis. Bauer, J. R., Nelson, J., Romeo, L., Eynard, J., Sim, L., Halama, J., Rose, K., & Graham, J. (2015). A spatio-temporal approach to analyze broad risks and potential impacts associated with uncontrolled hydrocarbon release events in the offshore Gulf of Mexico (NETL-TRS-2-2015 EPAct Technical Report Series). U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV; p 60. Romeo, L., Nelson, J., Wingo, P., Bauer, J., Justman, D., & Rose, K. (2019). Cumulative spatial impact layers: A novel multivariate spatio-temporal analytical summarization tool. Transactions in GIS.},
doi = {10.18141/1491843},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}

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