Cumulative spatial impact layers: A novel multivariate spatio‐temporal analytical summarization tool

The Carbon Ore Resources Database (CORD) is a working collection of 399 data files associated with carbon ore resources in the United States. The collection includes spatial/non-spatial, filtered, processed, and secondary data files with original data acquisition efforts focused on domestic coal resources. All data were acquired via open-source, online sources from a combination of 18 national, state, and university entities. Datasets are categorized to represent aspects of carbon ore resources, to include: Geochemistry, Geology, Infrastructure, and Samples. Geospatial datasets are summarized and analyzed by record and dataset density or the number of records or datasets per 400 square kilometer grid cells. Additionally, the “CORD Platform,” an ArcGIS Online geospatial dashboard web application, enables users to interact and query with CORD datasets. The CORD provides a single database and location for data-driven analytical needs associated with the utilization of carbon ore resources.

show abstract

“…km grid cells ( Fig. 1 ), the Cumulative Spatial Impact Layers (CSIL) tool [36] was applied within ArcMap 10.7 software [35] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

A database and framework for carbon ore resources and associated supply chain data

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…The intersection tool figures the geometric convergence of any number of feature classes and feature layers. The features, or bits of features, that are regular to all data sources will remain in the output feature class [21,22].…”

Section: Intersectionmentioning

confidence: 99%

A Case Study on Assessment of Environmental Justice using GIS in Franklin County, Ohio, USA

Chowdary

Madiraju

Shankar

2022

J. Environ. Sci. Pollut. Res.

View full text Add to dashboard Cite

Environmental justice is a growing concern in the United States. This study is an attempt to assess if fairness exists when it comes to the population of Franklin County concerning the location of industries based on environmental laws. Industries in Franklin County are taken into consideration and the areas surrounding it to assess the concern of environmental justice using tools in geographic information systems (GIS). This study concentrates on Franklin County as it is one of the most populated counties in Ohio as of 2019. Eleven major cities and industrial facilities are selected in Franklin County. A 4-mile buffer zone is considered around each city using ArcGIS to find the number of industries surrounding them. Pollution is gauged with the count of industries in the considered buffer zones. This study assumes that the number of industries is directly proportional to pollution. Minority and low-income data are extracted from the US Census Bureau. The number of minorities and low-income populations in the considered buffer zone is found using ArcMap. Minority population and income brackets of the population in a buffer zone are compared to the extent of industrial facilities in the same buffer zone. Statistical analysis is performed on the samples to find the correlation between the extent of industrial facilities and minorities to assess Environmental Justice. Another buffer is created using a 14-mile radius (with the centroid of the Franklin County as center) is created using EJSCREEN version 2019 to compare environmental indicators and demographic indicators with the NAAQs standard pollutants. A comparative analysis is performed to evaluate the results. The results indicate that there is no significant correlation between the minority population and industries in the selected 4-mile buffer zones. This approach can apply to any small geographic areas such as counties, zip codes, and census tracts to assess environmental justice.

show abstract

“…Warmer colors (shades of red) indicate a greater number of available datasets. Analysis performed using NETLÕs CSIL tool(Romeo et al, 2019). The notable hotspot (red) highlights data density in the Powder River Basin of Wyoming and Montana.…”

mentioning

confidence: 99%

A Geo-Data Science Method for Assessing Unconventional Rare-Earth Element Resources in Sedimentary Systems

et al. 2023

View full text Add to dashboard Cite

Rare-earth elements (REEs) supply raw materials that constitute many of our modern critical infrastructure, defense, technology, and electrification needs. Despite REE accumulations occurring in conventional bedrock and ion-adsorption deposits sourced from weathering of igneous rocks, unconventional host materials such as coal and related sedimentary strata have been identified as promising sources of REEs to meet growing demand. To maximize the potential of unconventional resources such as REE-coal systems, new approaches are needed overcome challenges from mineral systems with no known deposits and areas with sparse geochemical data. This article presents a systematic knowledge-data resource assessment method for predicting and identifying REE resource potential and occurrence in these unconventional systems. The method utilizes a geologic and geospatial knowledge-data approach informed and guided by REE accumulation mechanisms to systematically assess and identify areas of higher enrichment. An assessment of the Powder River Basin is presented as a test case to demonstrate the method workflow and results. The key output is a potential enrichment score map reported with varying confidence levels based on the amount of supporting evidence. Results from the test case indicate several locations with promising potential for different types of coal-REE deposits, demonstrating the viability of the method for exploration and assessment of unconventional REE resources. The method is flexible by design and, with sufficient applicable knowledge and data, can be adapted for assessing critical mineral systems in other sedimentary systems as well.

show abstract

Cumulative spatial impact layers: A novel multivariate spatio‐temporal analytical summarization tool

Cited by 10 publications

References 24 publications

A database and framework for carbon ore resources and associated supply chain data

A database and framework for carbon ore resources and associated supply chain data

A Case Study on Assessment of Environmental Justice using GIS in Franklin County, Ohio, USA

A Geo-Data Science Method for Assessing Unconventional Rare-Earth Element Resources in Sedimentary Systems

Contact Info

Product

Resources

About