Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Flood hazards were determined from SSURGO soil data. Statistical and quantitative analysis of flooding frequency and flood duration of soils were used to assign a 1-5 index of flooding hazard for each of the Census tracts in South Carolina.

greenvile landuse for headwaters study

The Landslide Susceptibility Index was developed by Response Directorate FEMA Mitigation Division and the Department of Homeland Security Emergency reparedness in order to determine levels of landslide risks according to a eographical region. Parameters analyzed in this index include geologic group types and their compositions' level of rigidity, groundwater levels, and topography (slope).These indices were calculated and then separated into three geologic groups ( Strong, Weak, Agrillaceous) and compared to groundwater levels to determine which areas were either dry or wet. Finally, this data was evaluated alongside slope degrees, determining the final hazard index.

This layer is a clip of the Ohio Gridded Soil Survey Geographic (gSSURGO) data published by the U.S. Department of Agriculture (USDA) through the Natural Resources Conservation Service (NRCS). The digital soil survey dataset was developed by the National Cooperative Soil Survey, compiling information from digitized maps and remotely-sensed data. This data is available for download through the USDA NRCS GeoSpatial Data Gateway. Included with the geographic data are tables including tabular data on a variety of soil statistics and attributes. For the convenience of its residents, SCGIS joined the tabular hydric data to the soil survey polygon layer clipped to the Stark County boundary in 2015. This data reflects the last major update to the gSSURGO dataset and SCGIS has no intention of updating or adding additional tabular data to this layer in the future. For the complete dataset, including any updates, please visit the USDA NRCS GeoSpatial Data Gateway using the link provided above.

A combination of hydrant data throughout Stark County, Ohio. Stark County GIS (SCGIS) houses data for all communities within the county other than the City of Massillon. Data for communities with dedicated GIS or engineering professionals to manage hydrant data is stored in databases catered specifically for their needs. For communities without a dedicated professional, SCGIS provides a hydrant layer for fire departments to collect and contribute data to. This layer is the destination for a spatial ETL (extract, transform, load) process that draws from each source database containing hydrants and reconciles their differing schemas into a unified version. The ETL tool is called nightly by a Python script to ensure that hydrant data is updated daily from each of the source locations. This layer can then be used for download by fire departments via Open Data to upload into Active911 to provide a complete countywide coverage of hydrants.

This map displays the created hazard index for the 2010 census tracts of South Carolina. The hazards taken into account are: earthquakes, liquefaction, landslides, hurricanes, floods, droughts, social vulnerability, and vulnerability to groundwater contamination. Each individual tract for each hazard had a index risk rating from 1 - 5, then the ratings from all hazards were assigned different weights based on economic loss. The social vulnerability was given the largest weight to take into account effect on human populations, and the rest of the hazards were weighted in the following order (decreasing weight): hurricanes, droughts, floods, earthquakes, liquefaction, groundwater contamination, and landslides.

This service is a representation of the current voting precincts determined and maintained by the Stark County Board of Elections (SCBOE). Precincts are updated by SCBOE staff in coordination with the Stark County GIS Department (SCGIS). For precincts within a community with the same number, the specific ward is distinguished in the attribute table. The attribute table also contains several IDs, including those uses by SCBOE and SCGIS, as well as IDs for the polling place for each precinct.For static/paper maps of precincts, view the SCBOE Maps page.

Parcels with accurate lines at the end of 2023 recording year. House photos are attached as attachments and plats are populated with a URL in attribute table.Created by adding in our “live” parcel view layer to an ArcGIS Pro project and when we were caught up with the splits and subdivisions we selected all the parcels and exported as a shapefile (attachments are not enabled on live view layer) then added the layer to AGOL. After uploaded turned on attachments and ran a script to attach photos. View layer was created by (Batch Processes on EC2) exporting a non editable layer from our parcel fabric and joining by parcel number to a text report exported from Tyler Sevier Eagle via Parcel numbers then uploading it as a web layer to our Portal.

This is an urban planning map of Charleston county. This map contains all the layers necessary for assessing the development of Charleston County.

The hurricane index was created based on the hurricane category and number of occurrences. The category number was assigned using the wind speed values, in which lower speed values match lower categories, such as tropical storms and tropical depressions. The sum of the categories along with their occurrences was classified into five ranges using Natural Breaks method. The tracts used were based on the 2010 South Carolina census tracts. The hurricane index values were then adjusted to range from 1 to 5, with 1 being the least vulnerable to hurricanes, and 5 being the most vulnerable. These index values are displayed on this map.

This index measures and maps the social vulnerability of SC 2010 census tracts to environmental hazards, highlighting geographic variation. The data show differences in the ability to prepare and respond to hazards, differences in probable recovery times, and areas where resources could reduce vulnerability.

The Social Vulnerability Index (SOVI) method has now been applied to 2010 Census tracts for all coastal states. All SOVI data and methods were developed by the University of South Carolina’s Hazards and Vulnerability Research Institute.

This is a surficial geology map of Charleston county. The stability of the different sedimentary layers were used for analysis in whether the ground is stable or not.

This is a geologic map of the different stratigraphic layers in the Charleston area

A map showing the paths of totality, 1950-2017

The earthquake index was created based on the maximum peak ground accelaration (PGA) values obtained from USGS Earthquake Hazards Program. The PGA values were classified into five ranges using Natural Breaks method. The tracts used were based on the 2010 South Carolina census tracts. The earthquake index values were then adjusted to range from 1 to 5, with 1 being the least vulnerable to earthquake, and 5 being the most vulnerable. These index values are displayed on this map.

50 Year Boundary

This map shows all the farmers markets within Charleston County.

This view layer was created 4/1/2024 with the new JPG URL field populated in the popup

The liquefaction index was created based on the liquefaction susceptibility calculated by Norman Levine for the whole South Carolina state. The tracts used were based on the 2010 South Carolina census tracts. The liquefaction index values were then adjusted to range from 1 to 5, with 1 being the least vulnerable to liquefaction, and 5 being the most vulnerable. These index values are displayed on this map.