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TwitterParcel lines and associated Real Estate data for Campbell County, Virginia.Relate "Account" filed in Parcel Lines shapefile to "PIN" field in the Improvement table for Assessor information.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the New Mexico West (FIPS 3003) State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
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Property data from County Assessor.For location-based landowner information, form a relationship between the "ACCOUNT" field in the Parcel Lines shapefile and the "PIN" field in the Improvement table.
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TwitterThis data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed 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 inventory of 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 line features) 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.
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TwitterCampbell County, VA has a C wealth grade. Median household income: $62,095. Unemployment rate: 4.7%. Income grows 3.9% yearly.
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TwitterSatellite and topographic image map (edition 2) of Windmill Islands, Antarctica. A satellite image map (second edition) was produced in 1995, and a topographic map (second edition) was produced in 1997. A double sided map containing both the satellite and topographic maps was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1997. Both maps are at a scale of 1:50000.
The satellite map was produced from merged SPOT multispectral and panchromatic data (341-487, 341-488). It is projected on a Transverse Mercator projection, and shows glaciers/ice shelves, station/bases, refuge/depot, sites of special scientific interest (SSSI), specially protected areas (SPA), and gives some historical text information. The map has both geographical and UTM co-ordinates.
Data sources for the topographic map are: Coastline, rock/ice interface, contours on rock and spot heights are produced from ANARE aerial photography (January 1994); Approximate contours north of Campbell Nunatak are derived from the November 1989 edition of the map; Approximate contours south of Campbell Nunatak are derived from Soviet mapping (1:100000)dating 1963. It is projected on a universal transverse mercator projection, and shows ship anchorages, traverses/routes/foot track charts, geology, glaciers/ice shelves, penguin colonies, birds, other fauna, stations/bases, refuge/depots, runways/helipads, sites of special scientific interest (SSSI), specially protected areas (SPA), and gives some historical text information. The map has both geographical and UTM co-ordinates.
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TwitterNCED is currently involved in researching the effectiveness of anaglyph maps in the classroom and are working with educators and scientists to interpret various Earth-surface processes. Based on the findings of the research, various activities and interpretive information will be developed and available for educators to use in their classrooms. Keep checking back with this website because activities and maps are always being updated. We believe that anaglyph maps are an important tool in helping students see the world and are working to further develop materials and activities to support educators in their use of the maps.
This website has various 3-D maps and supporting materials that are available for download. Maps can be printed, viewed on computer monitors, or projected on to screens for larger audiences. Keep an eye on our website for more maps, activities and new information. Let us know how you use anaglyph maps in your classroom. Email any ideas or activities you have to ncedmaps@umn.edu
Anaglyph paper maps are a cost effective offshoot of the GeoWall Project. Geowall is a high end visualization tool developed for use in the University of Minnesota's Geology and Geophysics Department. Because of its effectiveness it has been expanded to 300 institutions across the United States. GeoWall projects 3-D images and allows students to see 3-D representations but is limited because of the technology. Paper maps are a cost effective solution that allows anaglyph technology to be used in classroom and field-based applications.
Maps are best when viewed with RED/CYAN anaglyph glasses!
A note on downloading: "viewable" maps are .jpg files; "high-quality downloads" are .tif files. While it is possible to view the latter in a web-browser in most cases, the download may be slow. As an alternative, try right-clicking on the link to the high-quality download and choosing "save" from the pop-up menu that results. Save the file to your own machine, then try opening the saved copy. This may be faster than clicking directly on the link to open it in the browser.
World Map: 3-D map that highlights oceanic bathymetry and plate boundaries.
Continental United States: 3-D grayscale map of the Lower 48.
Western United States: 3-D grayscale map of the Western United States with state boundaries.
Regional Map: 3-D greyscale map stretching from Hudson Bay to the Central Great Plains. This map includes the Western Great Lakes and the Canadian Shield.
Minnesota Map: 3-D greyscale map of Minnesota with county and state boundaries.
Twin Cities: 3-D map extending beyond Minneapolis and St. Paul.
Twin Cities Confluence Map: 3-D map highlighting the confluence of the Mississippi and Minnesota Rivers. This map includes most of Minneapolis and St. Paul.
Minneapolis, MN: 3-D topographical map of South Minneapolis.
Bassets Creek, Minneapolis: 3-D topographical map of the Bassets Creek watershed.
North Minneapolis: 3-D topographical map highlighting North Minneapolis and the Mississippi River.
St. Paul, MN: 3-D topographical map of St. Paul.
Western Suburbs, Twin Cities: 3-D topographical map of St. Louis Park, Hopkins and Minnetonka area.
Minnesota River Valley Suburbs, Twin Cities: 3-D topographical map of Bloomington, Eden Prairie and Edina area.
Southern Suburbs, Twin Cities: 3-D topographical map of Burnsville, Lakeville and Prior Lake area.
Southeast Suburbs, Twin Cities: 3-D topographical map of South St. Paul, Mendota Heights, Apple Valley and Eagan area.
Northeast Suburbs, Twin Cities: 3-D topographical map of White Bear Lake, Maplewood and Roseville area.
Northwest Suburbs, Mississippi River, Twin Cities: 3-D topographical map of North Minneapolis, Brooklyn Center and Maple Grove area.
Blaine, MN: 3-D map of Blaine and the Mississippi River.
White Bear Lake, MN: 3-D topographical map of White Bear Lake and the surrounding area.
Maple Grove, MN: 3-D topographical mmap of the NW suburbs of the Twin Cities.
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TwitterThe Campbell Creek planning watershed is in Mendocino County, California. This map shows all the Calwater 2.2.1 planning watersheds within Mendocino County
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TwitterAttachment regarding public Hearing request to rezone all or a portion of the following parcels below from R-1, Residential to the district that is listed. The properties or portions of properties located within 1500 feet of US 421 South from the Town of Siler City extraterritorial planning jurisdiction to the Chatham County/Lee County line are Parcel 9723 owned by BROWN DAVID to Heavy Industrial; Parcel 8508 owned by MOORE LEWIS DANIELS & ANN DIXO to Light Industrial; Parcel 8509 owned by MOORE LEWIS DANIELS & ANN DIXO to Light Industrial; Parcel 8891 owned by GOLDCO LLC to Office & Institutional; Parcel 8925 owned by TUCKER GARY LYNN to Light Industrial; Parcel 9032 owned by MAYA CIRO MAYA & GUILLERMINA VALDEZ to Light Industrial; Parcel 9503 owned by CAMPBELL PAINT & BODY LLC to General Business; Parcel 11635 owned by ELSENBECK BRANDON W to Light Industrial; Parcel 62615 owned by KELLY PROPERTIES OF GOLDSTON LLC to Heavy Industrial; Parcel 80189 owned by MURCHISON ROBERT to General Business; Parcel 80145 owned by MOORE BERTIS E & BERTIS E & LUANNE MOORE JOHNSON TRUSTEES to General Business; Parcel 76187 owned by CHEROKEE LAND CO LLC to Heavy Industrial; Parcel 75559 owned by HUNNEWELL RICHARD L & DEBRA A to General Business; Parcel 72029 owned by CHEROKEE SANFORD GROUP LLC to Heavy Industrial; Parcel 66177 owned by REAVIS ALBERT G to Heavy Industrial; Parcel 64618 owned by AMERITRANS LLC to Light Industrial; Parcel 63303 owned by BOREN CLAY PRODUCTS CO to Heavy Industrial; Parcel 9504 owned by CAMPBELL PAINT & BODY LLC to General Business; Parcel 62623 owned by BOREN CLAY PRODUCTS CO to Heavy IndustriaL; Parcel 9711 owned by MURCHISON ROBERT to General Business; Parcel 61435 owned by TOWNSEND FARMS INC to Heavy Industrial; Parcel 9831 owned by BOREN CLAY PRODUCTS CO to Heavy Industrial; Parcel 62669 owned by RETAIL PROPANE CO LLC to Heavy Industrial; Parcel 9827 owned by BOREN CLAY PRODUCTS CO to Heavy Industrial; Parcel 9843 owned by VAN THOMAS CONT INC to General Business; Parcel 9895 owned by KING ALTON RAYVON & BERTA FAYE J to General Business; Parcel 9895 owned by KING ALTON RAYVON & BERTA FAYE J to General Business; Parcel 9914 owned by RUSSELL MANUFACTURING & SALES to Light Industrial; Parcel 11643 owned by PALLETONE OF NC INC to Heavy Industrial; Parcel 11665 owned by COX KATHY MOODY to General Business; Parcel 60144 owned by GRIGG J MICHAEL to Heavy Industrial; Parcel 9826 owned by BOREN CLAY PRODUCTS CO to Heavy Industrial.
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Twitterhttps://www.loc.gov/item/gvhs01.vhs00317/TitleMap of Albemarle : Made under the direction of Maj. A.H. Campbell Capt. Engs. in charge of Top. Dept. D.N.V. from surveys and reconnaissancesNamesConfederate States of America. Army. Dept. of Northern Virginia. Chief Engineer's Office.Campbell, Albert H. (Albert Henry), 1826-1899.Dwight, C. S.Created / Published[S.l. : Chief Engineer's Office D.N.V., 1864].Headings- Gilmer, Jeremy Francis,--1818-1883--Map collection- Albemarle County (Va.)--History--Civil War, 1861-1865--Maps- United States--Virginia--Albemarle CountyNotes- "Map from the Confederate Engineer Bureau in Richmond, Va. General J.F. Gilmer, Chief Engineer[.] Presented to the Virginia Historical Society by his only daughter, Mrs. J.F. Minis, Sav[ana]h, Ga."--Note on map.- Forms part of the Gilmer Map Collection.- Relief shown by hachures.- Shows towns, waterways, roads, geographical features and land owners.- Available also through the Library of Congress web site as a raster image.- Gift of Mrs. Louisa Porter (Gilmer) Minis (i.e., Mrs. J. F. Minis), Savannah, Ga., in 1911.- Manuscripts o.s. Library of Congress, Geography and Map Division.
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TwitterThis map ranks every county and tract in the U.S. by its social vulnerability -- the resilience of communities when confronted by external stresses on human health, stresses such as natural or human-caused disasters, or disease outbreaks. This web map was updated March 17, 2020 to use the latest 2018 social vulnerability layers from CDC, and now includes several alternative layers to visualize different themes described below.This map visualizes the 2018 overall SVI for U.S. counties and tractsSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county and tract15 social factors grouped into four major themesIndex value calculated for each county for the 15 social factors, four major themes, and the overall rankWhat is CDC Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every county and tract. CDC SVI ranks each county and tract on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:SocioeconomicHousing Composition and DisabilityMinority Status and LanguageHousing and Transportation VariablesFor a detailed description of variable uses, please refer to the full SVI 2018 documentation.RankingsWe ranked counties and tracts for the entire United States against one another. This web map can be used for mapping and analysis of relative vulnerability of counties in multiple states, or across the U.S. as a whole. Rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each county and tract, we generated its percentile rank among all counties and tracts for 1) the fifteen individual variables, 2) the four themes, and 3) its overall position. Overall Rankings:We totaled the sums for each theme, ordered the counties, and then calculated overall percentile rankings. Please note: taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES. Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are: Socioeconomic theme - RPL_THEME1Housing Composition and Disability - RPL_THEME2Minority Status & Language - RPL_THEME3Housing & Transportation - RPL_THEME4FlagsCounties in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Counties below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each county as the total number of all variable flags. SVI Informational VideosIntroduction to CDC Social Vulnerability Index (SVI)Methods for CDC Social Vulnerability Index (SVI)More Questions?CDC SVI 2018 Full DocumentationSVI Home PageContact the SVI Coordinator
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TwitterThe purpose of this data set is to provide a geographic representation of the location of each driveway in Campbell County, Virginia.
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TwitterKittitas County identified all of the parcels within the “Green” and “ Yellow” zones of the Kittitas County Water Bank. The project team reviewed each subdivision within those areas to identify the project’s proposed water use and purpose based on a set of criteria identified based on the court case Campbell vs. Gwinn (March 28, 2002). The assessment for this layer was conducted using a flow chart (available upon request) based on parcel subdivision criteria , common ownership, roads, utilities, development schedules, total number of lots , etc. The purpose of this layer is to help current and potential parcel owners identify the process in which they would go through to obtain water mitigation.This dataset represents the most recent version of the County Water Bank assessment. This data set is updated as new projects are approved and new information is acquired.
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TwitterParcel lines and associated Real Estate data for Campbell County, Virginia.Relate "Account" filed in Parcel Lines shapefile to "PIN" field in the Improvement table for Assessor information.