Geospatial data about Anderson County, South Carolina Addresses. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Anderson County, South Carolina Lakes. Export to CAD, GIS, PDF, CSV and access via API.

Attachment regarding

Geospatial data about Anderson County, South Carolina Fire Hydrants. Export to CAD, GIS, PDF, CSV and access via API.

Attachment regarding a legislative public hearing requested by Russ Anderson for a rezoning from R-1 Residential to General Use Light Industrial (IL) on Parcel 5518 being 15 acres, located at 5749 Old US 1, Cape Fear Township.

Geospatial data about Anderson County, South Carolina Hospitals. Export to CAD, GIS, PDF, CSV and access via API.

This database consists of a series of maps showing estimates for the change in position of Hawaii shorelines caused by sea-level rise (SLR) of + 0.5, 1.1, 2.0, and 3.2 feet. Individual maps show perpendicular measurement axes and lines of predicted shoreline positions at mileposts along Hawaii state routes on the islands of Hawaii, Maui, Molokai, Oahu and Kauai previously identified for their vulnerability to the effects of climate change as part of the Statewide Coastal Highways Project Report.

Mileposts are identified by Brandes et al. (2019). State of Hawaii Department of Transportation (HDOT) state routes and county street centerline datasets are acquired from HDOT (2017) and HOLIS, C&CH (2017). Projected vegetation lines (long-lasting markers of the shoreline) are determined and reported by the Hawaii Coastal Geology Group (HCGG) in Anderson et al. (2018). Rate of projected erosion is determined as a mean value of rates along the measurement axis (magenta line) from the 2008 vegetation line (blue) to subsequent SLR vegetation lines (red, orange, yellow, and green). Dates for SLR elevations are reported by Anderson et al. (2018) using the IPCC AR5 high-end representative concentration pathway (RCP) 8.5 scenario as 2030 for 0.5 ft of SLR, 2050 for 1.1 ft of SLR, 2075 for 2.0 ft of SLR, and 2100 for 3.2 ft of SLR.

Please read ‘Description-Map of Projected Shoreline Change with Sea Level Rise.docx’ for detailed information.

References Anderson, T.R., Fletcher, C.H., Barbee, M.M., Romine, B.M., Lemmo, S., and Delevaux, J.M.S. (2018). Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods. Scientific Reports, 8(1), 1–14. https://doi.org/10.1038/s41598-018-32658-x Brandes, H., Doygun, O., Rossi, C., Francis, O., Yang, L., and Togia, H., (2019) Coastal Road Exposure Susceptibility Index (CRESI) for the State of Hawaii Statewide Coastal Highway Program Report. Department of Civil and Environmental Engineering, University of Hawai'i at Manoa, doi: 10.17632/frr3fsx3j6.2. HDOT (State of Hawaii Department of Transportation). “StateRoutes_SDOT” [shapefile]. Scale Not Given. State Routes. Hawaii Statewide GIS Program. Retrieved from http://files.hawaii.gov/dbedt/op/gis/data/StateAndCountyRoutes.shp.zip (December 2017). HOLIS, C&CH (Honolulu Land Information System, City and County of Honolulu). “Oah_streets” [shapefile]. Scale Not Given. Oahu Street Centerlines. Hawaii Statewide GIS Program. Retrieved from http://geoportal.hawaii.gov/datasets/roads-honolulu-county (December 2017).

We constructed a time-series spatial dataset of parcel boundaries for the period 1962-2005, in roughly 4-year intervals, by digitizing historical plat maps for Dane County and combining them with the 2005 GIS digital parcel dataset. The resulting datasets enable the consistent tracking of subdivision and development for all parcels over a given time frame. The process involved 1) dissolving and merging the 2005 digital Dane County parcel dataset based on contiguity and name, 2) further merging 2005 parcels based on the hard copy 2005 Plat book, and then 3) the reverse chronological merging of parcels to reconstruct previous years, at 4-year intervals, based on historical plat books. Additional land use information such as 1) whether a structure was actually constructed (using the companion digitized aerial photo dataset), 2) cover crop, and 3) permeable surface area, can be added to these datasets at a later date.

Parcels data serve as a framework layer from which other data layers can be developed. Parcels were developed for cartography, analysis and distribution to county agencies, municipalities, and the general GIS Community.Although this data set does not contain property assessment information, each parcel record contains an attribute called the PAMS_PIN (a concatenation of the New Jersey Division of Taxation county/muncipality code, block number, lot number and qualification code) that uniquely identifies the parcel. The PAMS_PIN field can be used to join the data set to MOD-IV database tables maintained by the New Jersey Division of Taxation that contain supplementary attribute information regarding lot ownership and characteristics.This data set may not represent all current parcels because of lag in information flow and data development.Contact: Eric Anderson;Monmouth County, New Jersey, GIS Division, Information Technology Services;(732) 431-7991 ext. 2194; eanderso@co.monmouth.nj.us.

To illustrate zoning in Monmouth County.Contact:Eric Anderson;Monmouth County, New Jersey, GIS Division, Information Technology Services;(732) 431-7991 ext. 2194;eanderso@co.monmouth.nj.us

Outlets were field collected within the project area for the Storm Drain System (MS4) GIS Mapping Project for Boulder County Public Health. The data was collected with a Trimble Geo-XH 6000 with a horizontal post-processed accuracy of 2.5 cm (.98in). The data was post processed using the base stations located in and around Boulder County. The data dictionary used to collect the data was developed in collaboration with the Boulder County Public Health Project Manager. This data was collected between April and December 2017 by Anderson Consulting Engineers and is updated by County staff as needed.