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Download .zipA potentiometric surface map is a contour map that represents the top of the ground water surface in an aquifer. The contour lines illustrate the potentiometric surface much as the contour lines of a topographic map represent a visual model of the ground surface. A potentiometric surface map is very similar to a water table map in that both show the horizontal direction and gradient of ground water flow. The No Aquifer polygons define areas were the unconsolidated glacial materials were not rated because they are either absent or are less than 25 feet in depth to bedrockContact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Geological Survey2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6693Email: gis.support@dnr.ohio.gov
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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.
Property map viewer for the State of Tennessee that covers 85 of the 95 counties in Tennessee.This application allows for searching and displaying property ownership and location information for 87 counties in Tennessee. It is designed to work in concert with the Real Estate Assessment Data site operated by the Comptroller of the Treasury. The following counties are not available in this application but can be found on their own internet sites: Bradley, Davidson (Metro Nashville), Hamilton (Chattanooga), Knox (Knoxville), Montgomery (Clarksville), Rutherford(Murfreesboro), Shelby (Memphis), Sumner, Unicoi, and Williamson.
This dataset describes the three Knox County Board Districts that coincide with the City of Galesburg as approved by the Knox County Board at their meeting on 27/October/2021.
This dataset describes the Congressional Districts in Knox County as passed by the Illinois General Assembly and enacted as Public Act 102-0670 ("The Illinois Congressional Redistricting Act of 2021") as approved by the Governor on 23/November/2021.The text of the Act is available at https://www.ilga.gov/legislation/publicacts/102/PDF/102-0670.pdf.A map of the statewide districts is posted on the Illinois Senate Redistricting Committee's website at https://www.ilsenateredistricting.com/ or https://www.google.com/maps/d/u/0/viewer?mid=1DuemrWTVXzfvozXGm1Vts_nkTD5jXw9W&ll=39.9349978735984%2C-88.1700770033111&z=7.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The California Department of Fish and Wildlife (Department) Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation classification and map of the southern addition to the Departments Knoxville Wildlife Area (WA), Napa County, California following State Vegetation Survey, Federal Geographic Data Committee (FGDC), and National Vegetation Classification (NVC) Standards (Grossman et al 1998). The vegetation classification was derived from data collected in the field following the Combined Rapid Assessment and Relevé Protocol during the periods November 18''20, 2013 and April 28''May 1, 2014. Vegetation polygons were drawn using heads-up manual digitizing using the 2011 Napa County 30-cm resolution color infrared (CIR) imagery as the base imagery. Supplemental imagery included National Agricultural Imagery Program (NAIP) true color and CIR 1-meter resolution data from 2009''2012, BING imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland types, which have an MMU of 1/2 acre. Ponds, riparian types, and the one vernal pool on the WA that were visible on the imagery were mapped regardless of size, and streams were generally mapped if greater than 10 m wide (narrower portions may have been mapped to maintain the continuity of the streams). Mapping is to the NVC hierarchy association, alliance, or group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data. Both the existing (northern) and new addition (southern) portions of the Knoxville WA were mapped in 2002 as part of the Napa County vegetation map (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=14660). The 2002 map is at a coarse thematic resolution (alliance through macrogroup level) and vegetation in portions of the WA has changed since the 2004 Rumsey Fire, necessitating this map update. We have produced an updated version of the KWA portion of the 2002 map layer that uses the same spatial data, but added a crosswalk to the current classification and the upper levels of the current hierarchy. This map layer is included in the downloaded dataset for this map and an expanded metadata report for that crosswalk can be found at https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=164825.
This map is a proof of concept for participants in the MEGA:BITESS Academy to review data that may be relevant for spatial analysis. Knox County mosquito data is fictitious.
MIT Licensehttps://opensource.org/licenses/MIT
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Download .zipMaps and data associated with oil-and-gas wells represent one of the largest datasets at the Ohio Department of Natural Resources. This GIS data layer contains all the locatable oil-and-gas wells in Ohio. The feature is derived from coordinates obtained from the Division of Oil and Gas Resources Management (DOGRM) oil and gas well database – Risk Based Data Management System (RBDMS). The RBDMS database has a long history and is a comprehensive collection of well data from historic pre-1980 paper well records (digitized by the Division of Geological Survey (DGS)) to post-1980 DOGRM database solutions.Since 1860, it is estimated that more than 267,000 oil-and-gas wells have been drilled in Ohio. The compressed file also includes a feature used to connect the surface location to the bottom location of a well that has been drilled directionally or horizontally. This feature is NOT the actual wellbore path, it is simply a graphical representation indicating the relationship between the two well points.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Oil & Gas ResourcesOil and Gas Resources Management2045 Morse Road Bldg F-2Columbus, OH, 43229-6693Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
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This feature layer was created for use with the Tennessee State Data Center County Population Estimates and Components of Change Dashboard and its design is specific to that application. The map is updated each March when an additional year is added to the estimate series. The layer contains overlapping geographic features (one county polygon for each year in the estimate vintage). In other words for a Knox County, there would be a polygon feature and associated attributes for 2020, 2021, 2022 and so on. Therefore, for general use the map must be filtered to show only a single year from the estimate series. Each county's population, numeric change and percent change are provided for every year in the population estimate times series. Additional columns providing ranks of the fastest-growing counties by size and rank order by population size.The layers includes a number of Tennessee specific, geographic classification systems that are found in Classifications are from the 2023 Tennessee County Geographic Classifier Reference File
Development Districts2020 Urban and Rural Counties; Tennessee Department of Economic and Community Development2023 Metropolitan and Micropolitan Statistical Areas
Current corporate limits of the City of Galesburg.
This Hurricane Evacuation Zone map was produced by the U.S. Army Corps of Engineers. It is made available for review by the State of Maine, local government emergency management agencies, and other interested stakeholders.This map reflects areas that could be evacuated from worst-case storm tide flooding from hurricanes, based on potential storm tide heights calculated by the National Weather Service's SLOSH (Sea, Lake, and Overland Surge from Hurricanes) Model. The SLOSH Basin used for mapping was Penobscot (PN2), released in 2012.Hurricane Evacuation Zones were drawn by Local, County, and State Emergency Management Officials, and digitized (drawn electronically) into one common Evacuation Zone GIS layer by the Army Corps of Engineers. The Hurricane Evacuation Zones are intended to include, at a minimum, all Category 1 through 4 Storm Tide Flood Risk Areas, as shown on the companion Storm Tide Flood Risk Area maps (April 2016).Hurricane Evacuation Zone Maps for some communities in Cumberland and Knox Counties include a Hurricane Evacuation Zone C, shown in orange. These zones were included at the request of those two Counties, and indicate areas that they are particularly concerned about, for reasons such as vulnerable populations, flood prone areas, or critical facilities.
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MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Download .zipA potentiometric surface map is a contour map that represents the top of the ground water surface in an aquifer. The contour lines illustrate the potentiometric surface much as the contour lines of a topographic map represent a visual model of the ground surface. A potentiometric surface map is very similar to a water table map in that both show the horizontal direction and gradient of ground water flow. The No Aquifer polygons define areas were the unconsolidated glacial materials were not rated because they are either absent or are less than 25 feet in depth to bedrockContact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Geological Survey2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6693Email: gis.support@dnr.ohio.gov