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Cumulative Spatial Impact Layers

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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.

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Last Updated April 8, 2020, 13:37 (EDT)
Created October 18, 2019, 08:52 (EDT)
Citation Lucy Romeo, Patrick Wingo, Jake Nelson, Jennifer Bauer, and Kelly Rose, Cumulative Spatial Impact Layers, 2019-01-24, https://edx.netl.doe.gov/dataset/cumulative-spatial-impact-layers, DOI: 10.18141/1491843
Netl Product yes
Osti yes
Poc Email brian.dressel@netl.doe.gov
Point Of Contact Brian Dressel
Program Or Project RIC
Tool Image Url