A layer that outlines the election district wards for the City of Covington.

Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for GIS held by Covington Investment Advisors Inc from Q3 2013 to Q1 2018

Municipal Map created by CSA in partnership with the Oklahoma Tax Commission.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

Linear Water Features includes single-line drainage water features and artificial path features that run through double-line drainage features such as rivers and streams, and serve as a linear representation of these features. The artificial path features may correspond to those in the USGS National Hydrographic Dataset (NHD). However, in many cases the features do not match NHD equivalent feature and will not carry the NHD metadata codes. These features have a MAF/TIGER Feature Classification Code (MTFCC) beginning with an "H" to indicate the super class of Hydrographic Features.

Geospatial data about Alleghany County, Virginia Parcels. Export to CAD, GIS, PDF, CSV and access via API.

2017 TIGER/Line® Shapefiles: Roads

The Digital Geologic-GIS Map of Craters of the Moon National Monument and Preserve and Vicinity, Idaho is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (crmo_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (crmo_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (crmo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (crmo_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (crmo_geology_metadata_faq.pdf). Please read the crmo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey and Idaho Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (crmo_geology_metadata.txt or crmo_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:100,000 and United States National Map Accuracy Standards features are within (horizontally) 50.8 meters or 166.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Geospatial data about Alleghany County, Virginia Addresses. Export to CAD, GIS, PDF, CSV and access via API.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage. Single-line drainage water features can be found in the Linear Hydrography Shapefile (LINEARWATER.shp). Linear water features includes single-line drainage water features and artificial path features, where they exist, that run through double-line drainage features such as rivers, streams, and/or canals, and serve as a linear representation of these features.

Student-collected data as part of the Fall 2015 and Fall 2017 joint Historic Preservation/Urban Planning Advanced Studio projects titled, "The Gingerbread Houses of Port-au-Prince, Haiti" (2015) and "Heritage, Education, and Urban Resilience: Building Alternative Futures in Port-au-Prince, Haiti" (2017) at the Columbia Graduate School of Architecture, Planning, and Preservation. Includes shapefiles for building footprints, roadways, walls within the Pacot neighborhood, as well as building access and use-related survey results. Both studio reports published by World Monuments Fund: 2015: https://www.wmf.org/publication/gingerbread-houses-port-au-prince-haiti 2017: https://www.wmf.org/publication/heritage-education-and-urban-resilience-building-alternative-futures-port-au-prince

North Carolina Senate district plan used for the 2018 election cycle.Ordered by the U.S. Supreme Court on February 6, 2018 in North Carolina v. Covington. District boundaries are based on 2010 census tabulation blocks, as represented in the 2010 TIGER/Line Shapefiles, published by the U.S. Census Bureau.

This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the NationalCooperative Soil Survey. The information was prepared by digitizingmaps, by compiling information onto a planimetric correct baseand digitizing, or by revising digitized maps using remotelysensed and other information.This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventoryof soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and linefeatures) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.The following Layers have been merged into one data layer and the goal is to have one seamless data layer in MSTM coordinate projection when NRCS completes its digital conversion process and as with any data set if you have questions or identify errors you should always go back to the orignal source for clarification.This data set is for viewing and for convience. Last update was 02-12-2008. Counties included are as follows: Adams, Alcorn, Amite, Benton, Carroll, Calhoun, Chickasaw, Choctaw, Claiborne, Clarke, Clay, Coahoma, Copiah, Covington, Desoto,Forrest, Franklin, George, Grenada, Hancock, Harrison, Hinds, Holmes, Humphreys, Issaquena, Itawamba, Jackson, Jasper, Jefferson, Jefferson Davis, Jones, Kemper, Lafayette, Lamar, Lawrence, Lauderdale, Lee, Leflore, Lincoln, Lowndes, Madison, Marion, Marsha, Monroe, Montgomery, Neshoba, Newton, Noxubee, Oktibbe, Panola, Pearl, Pike, Pontotoc, Prentiss, Quitman, Rankin, Sharkey, Simpson, Stone, Sunflower, Tallahtachie, Tate, Tippah, Tishmingo, Tunica, Union, Warren, Washington, Wathall, Webster, Wilkinson, Yalobusha, Yazoo

JOBS DEVELOPMENT INCENTIVE The jobs development incentive is designed to assist growing Covington businesses or to attract new businesses that will be making capital investments and creating jobs. It provides eligible existing and new businesses a payroll tax reimbursement for up to 10 years.RENT SUBSIDY INCENTIVE Part of the Small Business Program, the rent subsidy incentive is designed to attract new Covington businesses and help existing Covington businesses expand. It offers financial assistance in the form of reimbursement of rent payment of up to half of the business's monthly rent or $500.00 per month (whichever is less).FAÇADE IMPROVEMENT FORGIVABLE LOAN Part of the Small Business Program, the façade improvement incentive offers businesses a 50% matching forgivable loan (up to $6,000) to update their commercial building’s façade. It’s a great way to update lighting, windows, painting, signage, and other exterior building improvements visible from the street.

List of providers used as resources:Alabama Powerhttps://outagemap.alabamapower.com/external/default.htmlBaldwin EMC Coophttps://oms.baldwinemc.com:82/Central Alabama Electric Coophttp://66.184.166.46Coosa Valley Electric Coophttp://outage.coosavalleyec.com/Covington Electric Coophttp://outage.covington.coop/Cullman Electric Coophttp://outages.cullmanec.com/Decatur Utilitieshttp://oms.decaturutilities.com:85/Diverse Powerhttps://outages.diversepower.com/Dixie Electric Coophttp://outagemap.dixie.coop/Florence Electricityhttp://florenceelectricityoutage.com/Huntsville Utilitieshttps://www.hsvutil.org/outagemap/Pioneer Electric Coophttp://65.158.51.120/Riviera Utilitieshttp://outage.rivierautilities.com/Singing River Electrichttp://outageviewer.singingriver.com/South Alabama Electric Coophttp://omsviewer.southaec.com/Tombigbee Electric Coophttp://24.181.107.190:7575/West Florida Electrichttp://www.westflorida.coop/outage_map/Wiregrass Electric Coophttp://216.47.203.35/OMSWebMap/OMSWebMap.htm?clientKey=undefined

Microsoft recently released a free set of deep learning generated building footprints covering the United States of America. As part of that project Microsoft shared 8 million digitized building footprints with height information used for training the Deep Learning Algorithm. This map layer includes all buildings with height information for the original training set that can be used in scene viewer and ArcGIS pro to create simple 3D representations of buildings. Learn more about the Microsoft Project at the Announcement Blog or the raw data is available at Github.Click see Microsoft Building Layers in ArcGIS Online.Digitized building footprint by State and City

Alabama Greater Phoenix City, Mobile, and Montgomery

Arizona Tucson

Arkansas Little Rock with 5 buildings just across the river from Memphis

California Bakersfield, Fresno, Modesto, Santa Barbara, Sacramento, Stockton, Calaveras County, San Fran & bay area south to San Jose and north to Cloverdale

Colorado Interior of Denver

Connecticut Enfield and Windsor Locks

Delaware Dover

Florida Tampa, Clearwater, St. Petersburg, Orlando, Daytona Beach, Jacksonville and Gainesville

Georgia Columbus, Atlanta, and Augusta

Illinois East St. Louis, downtown area, Springfield, Champaign and Urbana

Indiana Indianapolis downtown and Jeffersonville downtown

Iowa Des Moines

Kansas Topeka

Kentucky Louisville downtown, Covington and Newport

Louisiana Shreveport, Baton Rouge and center of New Orleans

Maine Augusta and Portland

Maryland Baltimore

Massachusetts Boston, South Attleboro, commercial area in Seekonk, and Springfield

Michigan Downtown Detroit

Minnesota Downtown Minneapolis

Mississippi Biloxi and Gulfport

Missouri Downtown St. Louis, Jefferson City and Springfield

Nebraska Lincoln

Nevada Carson City, Reno and Los Vegas

New Hampshire Concord

New Jersey Camden and downtown Jersey City

New Mexico Albuquerque and Santa Fe

New York Syracuse and Manhattan

North Carolina Greensboro, Durham, and Raleigh

North Dakota Bismarck

Ohio Downtown Cleveland, downtown Cincinnati, and downtown Columbus

Oklahoma Downtown Tulsa and downtown Oklahoma City

Oregon Portland

Pennsylvania Downtown Pittsburgh, Harrisburg, and Philadelphia

Rhode Island The greater Providence area

South Carolina Greensville, downtown Augsta, greater Columbia area and greater Charleston area

South Dakota greater Pierre area

Tennessee Memphis and Nashville

Texas Lubbock, Longview, part of Fort Worth, Austin, downtown Houston, and Corpus Christi

Utah Salt Lake City downtown

Virginia Richmond

Washington Greater Seattle area to Tacoma to the south and Marysville to the north

Wisconsin Green Bay, downtown Milwaukee and Madison

Wyoming Cheyenne