This 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.
1:24,000 scale Geologic Map of the Delamar Lake Quadrangle, Lincoln County, Nevada, USGS GQ-1730. Detailed geologic mapping by Robert B. Scott, W C Swadley, and Steven W. Novak in 1993. Previous work includes the Preliminary geologic map of the Delamar 3 SW quadrangle (Page, Swadley, and Scott, 1990); Preliminary geologic map of the Vigo NW quadrangle (Scott, Harding, Swadley, Novak, and Pampeyan, 1991); Preliminary geologic map fo the Delamar 3 NE quadrangle (Scott, Novak, and Swadley, 1990a); Preliminary geologic map of the Delamar 3 NW quadrangle (Scott, Page, and Swadley, 1990b); Preliminary geologic map of the Pahroc Summit Pass and part of the Hiko SE quadrangle (Scott and Swadley, 1992); Preliminary geologic map of the Gregerson Basin quadrangle (Scott, Swadley, Page, and Novak, 1990); Preliminary geologic map of the Delamar 3 SE quadrangle (Swadley, Page, Scott, and Pampeyan, 1990); and Preliminary geologic map of the Delamar NW quadrangle (Swadley and Scott, 1990). Geologic map of the Delamar Lake 7.5' quadrangle, Lincoln County, Nevada, with 2 cross sections and description of 21 units. The GIS work was in support of the U. S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for a variety of geologic maps. In addition to basic geology (lithology, contacts and faults, etc.), the maps may include metamorphic overprints, cross sections, and explanatory legend-graphics such as correlation charts, used to supplement columnar legends. For more information about this resource and to download the map, legend text, and associated GIS zipped data sets, please see the links provided.
1:24,000 scale Geologic Map of the Rose Valley Quadrangle, Lincoln County, Nevada, USGS GQ1765. Detailed geologic mapping by Myron G. Best and Van S. Williams in 1997. Geologic Map includes 1 cross section and description of 31 units. The GIS work was in support of the U.S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for the printed geologic map. In addition to basic geology (lithology, contacts and faults, etc.), the maps may include metamorphic overprints, cross-sections, and explanatory legend-graphics such as correlation charts, used to supplement columnar legends. Previous work includes the Geologic map of the Pine Grove-Blawn Mountain area (Abbott, Best, and Morris, 1983); Geologic map Hamlin Valley and Escalante Desert (Best, 1987); Geologic map of the southern Home Range and northern Indian Peak Range (Best, Hintze, and Holmes, 1987); Preliminary geologic map of the Ursine and Deer Lodge Canyon quadrangles (Best, Keith, and Williams, 1992); Geologic map of the southern Pine Valley area (Best, Morris, Kopf, and Keith, 1987); Geologic map of northern White Rock Mountains-Hamlin Valley area (Best, Toth, Kowallis, Willis, and Best, 1989); Preliminary geologic map of the Enterprise quadrangle (Blank, 1993); and Preliminary geologic map of the northern Wilson Creek Range (Willis, Best, Kowallis, and Best, 1987). For more info about this map resource or to download and view this map and associated GIS zipped data-set, please see links provided.
1:24,000 Geologic Map of the Fairview Range and Grassy mountain, lincoln County, Nevada. Detailed geologic mapping by Myron G. Best, Lehi F. Hintze, Alan L. Deino, and Larissa L. Maughan in 1998. The field work was in support of the U. S. Geological Survey COGEOMAP program. Geologic mapping was supported by Brigham Young University and the Quadrangle Mapping Program of the Geological Society of Nevada. Field work done from 1992 to 1997. Published maps in this area are MF-1479 (Abbott and others 1983), I-1774 (Best, 1987), I-1795 (Best and others, 1987b), I-1796 (Best and others, 1987c), I-1794 (Best and others, 1987d), I-1881 (Best and others, 1989b), I-1971 (Willis and others, 1987), NBMG FS-7 (Keith and others, 1994), GQ-1765 (Best and Williams, 1997), and I-2479 (Williams and others, 1997). Base map: U.S. Geological Survey Grassy Mountain 7.5' Quadrangle, 1973 and Pony Springs 7.5' Quadrangle, 1973. To download this map, text, ans associated GIS zipped file data sets, please see the links provided.
1:24,000 scale Geologic Map of the Lime Mountain Quadrangle, Lincoln County, Nevada. Detailed geologic mapping by Lehi F. Hintze and Gary J. Axen in 2001. Field work done in 1986-1998. This layer illustrates the lines that indicate the different type of geologic units in the Lime Mountain quadrangle, in the Lincoln County area. The field work was in support of the U. S. Geological Survey COGEOMAP program. Office Review by: R.E. Anderson ( USGS, Denver), L.J. Garside (NBMG), C.D. Henry (NBMG) Field Review by: A.E. Jones-Crafford (GeoLogic Services, Reno), C.D. Henry (NBMG), and P.O. Rowley (USGS, Cedar City, UT). Geologic mapping was supported by the Department of Geology, Brigham Young University, Provo, Utah. Base map: U.S. Geological Survey Lime Mountain 7.5' Quadrangle, 1973. To download and view this map resource and associated GIS zipped data-set, please see the links provided.
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). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk Information And supporting data used to develop the risk data. The primary risk; classificatons 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 UTM 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.
County Geologic Atlases (CGA) are prepared jointly by the Minnesota Geological Survey (MGS) and the Minnesota Department of Natural Resources (DNR). Part A of each county atlas is completed by the MGS and provides a detailed account of geologic materials in the county. Part B of each county atlas is completed by the Minnesota DNR and shows groundwater and hydrology information.This story map focuses on Lincoln County ( full publication ). The CGA provides information essential to sustainable management of groundwater resources for applications such as monitoring, water allocation, permitting, remediation, and well construction. The maps and Geographic Information Science (GIS) data define aquifer properties and boundaries, as well as the connection of aquifers to the land surface and to the surface-water resources. It also provide a broad range of information on county geology, mineral resources (including construction materials), and natural history.
1:24,000-scale, full-color Geologic Map of the Bristol Well 7.5' quadrangle in Lincoln County, Nevada, with 1 cross sections and description of 36 units. The GIS work was in support of the U. S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for a variety of geologic maps. In addition to basic geology (lithology, contacts and faults, etc.), the maps may include metamorphic overprints, cross sections, and explanatory legend-graphics such as correlation charts, used to supplement columnar legends. For more info about this resource or to download the report text, map, or GIS zipfile, please see the links provided. [USGS OFR 95-580].
A 1:24,000 scale, full color geologic map of the Rice Mountain quadrangle, Lincoln County, Nevada and Iron County, Utah, with 2 cross sections and description of 23 units. Detailed geologic mapping by Jeffrey D. Keith, David G. Tingey, and Myron G. Best of Bringham Young University in 1994. Location of the Rice Mountain Quadrangle in relation to nearby geologic maps published by the U.S. Geological Survey and the Indian Peak caldera complex consisting of the Indian Peak White Rock and Mt. Wilson calderas that collapsed as the Wah Wah Springs, Lund, and Ripgut tuffs, were erupted (Best and others, 1989a). Paritial financial support for field work provided by the Geological Society of Nevada. The GIS work was in support of the U.S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for a variety of geologic maps. In addition to basic geology, the maps may include metamorphic overprints, cross sections, and explanatory legend graphics such as correlation charts, used to supplement columnar legends. To download this GIS zipped data-set resource, please see the link provided.
This 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.
The City of Lincoln Independent Redistricting Committee approved the final Lincoln City Council district map at its public meeting on March 3, 2022. The map will define the City Council district boundaries until the next redistricting process after the 2030 U.S. Census. The Independent Redistricting Commission was made up entirely of community members and was empowered to adopt the district boundaries without City Council approval. However, the City of Lincoln City Council will conduct the first read of the ordinance to adopt the map but they may not rescind, supersede, or revise the district boundaries adopted by the commission.For more information visit https://www.lincolnca.gov/en/news/final-redistricting-map.aspx.Updated July 2023 for SUDB Annexation.
Historical map showing boundaries, major roads, lot and concession numbers, railways and populated areas.Map date: Drawn 1963, Revised 1964Digital reproduction of map (58 x 100 cm.) in the Brock University Map, Data & GIS Library collection. Georeferenced and modified from Brock call# G 3462 S68 Lincoln by Map, Data and GIS Library, Brock University.
This Zoning feature class is an element of the Oregon GIS Framework statewide, Zoning spatial data. This version is authorized for public use. Attributes include zoning districts that have been generalized to state classes. As of June 30, 2023, this feature class contains zoning data from 229 local jurisdictions. DLCD plans to continue adding to and updating this statewide zoning dataset as they receive zoning information from the local jurisdictions. Jurisdictions included in the latest version of the statewide zoning geodatabase: Cities: Adams, Adrian, Albany, Amity, Antelope, Ashland, Astoria, Athena, Aurora, Banks, Barlow, Bay City, Beaverton, Bend, Boardman, Bonanza, Brookings, Brownsville, Burns, Butte Falls, Canby, Cannon Beach, Carlton, Cascade Locks, Cave Junction, Central Point, Chiloquin, Coburg, Columbia City, Coos Bay, Cornelius, Corvallis, Cottage Grove, Creswell, Culver, Dayton, Detroit, Donald, Drain, Dufur, Dundee, Dunes City, Durham, Eagle Point, Echo, Enterprise, Estacada, Eugene, Fairview, Falls City, Florence, Forest Grove, Fossil, Garibaldi, Gaston, Gates, Gearhart, Gervais, Gladstone, Gold Beach, Gold Hill, Grants Pass, Grass Valley, Gresham, Halsey, Happy Valley, Harrisburg, Helix, Hermiston, Hillsboro, Hines, Hood River, Hubbard, Idanha, Independence, Jacksonville, Jefferson, Johnson City, Jordan Valley, Junction City, Keizer, King City, Klamath Falls, La Grande, La Pine, Lafayette, Lake Oswego, Lebanon, Lincoln City, Lowell, Lyons, Madras, Malin, Manzanita, Maupin, Maywood Park, McMinnville, Medford, Merrill, Metolius, Mill City, Millersburg, Milton-Freewater, Milwaukie, Mitchell, Molalla, Monmouth, Moro, Mosier, Mount Angel, Myrtle Creek, Myrtle Point, Nehalem, Newberg, Newport, North Bend, North Plains, Nyssa, Oakridge, Ontario, Oregon City, Pendleton, Philomath, Phoenix, Pilot Rock, Port Orford, Portland, Prescott, Prineville, Rainier, Redmond, Reedsport, Rivergrove, Rockaway Beach, Rogue River, Roseburg, Rufus, Saint Helens, Salem, Sandy, Scappoose, Scio, Scotts Mills, Seaside, Shady Cove, Shaniko, Sheridan, Sherwood, Silverton, Sisters, Sodaville, Spray, Springfield, Stanfield, Stayton, Sublimity, Sutherlin, Sweet Home, Talent, Tangent, The Dalles, Tigard, Tillamook, Toledo, Troutdale, Tualatin, Turner, Ukiah, Umatilla, Vale, Veneta, Vernonia, Warrenton, Wasco, Waterloo, West Linn, Westfir, Weston, Wheeler, Willamina, Wilsonville, Winston, Wood Village, Woodburn, Yamhill. Counties: Baker County, Benton County, Clackamas County, Clatsop County, Columbia County, Coos County, Crook County, Curry County, Deschutes County, Douglas County, Harney County, Hood River County, Jackson County, Jefferson County, Josephine County, Klamath County, Lane County, Lincoln County, Linn County, Malheur County, Marion County, Multnomah County, Polk County, Sherman County, Tillamook County, Umatilla County, Union County, Wasco County, Washington County, Wheeler County, Yamhill County. R emaining jurisdictions either chose not to share data to incorporate into the public, statewide dataset or did not respond to DLCD’s request for data. These jurisdictions’ attributes are designated “not shared” in the orZDesc field and “NS” in the orZCode field.
Historical map showing the boundaries of Lincoln and Welland Counties, drawings of homes and buildings in border, townships, concessions, names of lot owners, list of subscribers for each town.Map date: 1862.Compiled and drawn from actual surveys by the publishers... Geo. R. & G.M. TremaineDigital reproduction of map in the Public Archives of Canada. National Map Collection. Library and Archives Canada.Georeferenced and modified from NMC Map number 19014 by Map, Data and GIS Library, Brock University.
description: 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 Ohio North Stateplane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at scales of 1:6000 and 1:12,000.; abstract: 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 Ohio North Stateplane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at scales of 1:6000 and 1:12,000.
This digital geologic and tectonic database of the Death Valley ground-water model area, as well as its accompanying geophysical maps, are compiled at 1:250,000 scale. The map compilation presents new polygon, line, and point vector data for the Death Valley region. The map area is enclosed within a 3 degree X 3 degree area along the border of southern Nevada and southeastern California. In addition to the Death Valley National Park and Death Valley-Furnace Creek fault systems, the map area includes the Nevada Test Site, the southwest Nevada volcanic field, the southern end of the Walker Lane (from southern Esmeralda County, Nevada, to the Las Vegas Valley shear zone and Stateline fault system in Clark County, Nevada), the eastern California shear zone (in the Cottonwood and Panamint Mountains), the eastern end of the Garlock fault zone (Avawatz Mountains), and the southern basin and range (central Nye and western Lincoln Counties, Nevada). This geologic map improves on previous geologic mapping in the area by providing new and updated Quaternary and bedrock geology, new interpretation of mapped faults and regional structures, new geophysical interpretations of faults beneath the basins, and improved GIS coverages. The basic geologic database has tectonic interpretations imbedded within it through attributing of structure lines and unit polygons which emphasize significant and through-going structures and units. An emphasis has been put on features which have important impacts on ground-water flow. Concurrent publications to this one include a new isostatic gravity map (Ponce and others, 2001), a new aeromagnetic map (Ponce and Blakely, 2001), and contour map of depth to basement based on inversion of gravity data (Blakely and Ponce, 2001).
1:24,000-scale, full-color Preliminary geologic map of the Coyote Spring 7.5' quadrangle, Lincoln County, Nevada, with 1 cross section and description of 29 units. The GIS work was in support of the U. S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for a variety of geologic maps. In addition to basic geology (lithology, contacts and faults, etc.), the maps may include metamorphic overprints, cross sections, and explanatory legend-graphics such as correlation charts, used to supplement columnar legends. For more info about this resource, or to download the map, and associated report and GIS zipped data set, please see the links provided.
A map used in the Tax Parcel Viewer application to access tax parcel, tax distribution, and related tax and assessment information.
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
A regional map of the water table in the northeastern Tularosa Basin region has been prepared based on elevations of springs and well water levels. Water levels were measured by the New Mexico Bureau of Geology and Mineral Resources from 2009-2011. This map extends up to the western escarpment of the Sacramento Mountains, and is an extension of the water table map of the southern Sacramentos prepared by Land et a l. (2012).
In general, within the area indicated on the map, most ground water flows from east to west following topography. Near the crests of the highest mountains in the region, from the Sierra Blanca mountains to the southern Sacramentos, a ground water divide exists wherein some ground water flows west into the Tularosa Basin region, while the rest flows eastward toward the Pecos Slope. Water flowing west into the Tularosa Basin eventually flows southward.
The aquifer system in the southern Sacramento Mountains is developed primarily within the Yeso Formmation, and the vast majority of water supply wells produce from fractured carbonates, siltstones and mud stones within that rock unit (Land et al., 2012). By contrast, aquifers in the northeastern Tularosa Basin region occur within several different geologic formations with highly variable hydrologic properties. The heterogeneous aquifer system in this area results in part from the fact that the mapped area covers several distinctly different physiographic provinces with differing underlying lithologies. The primary physiographic provinces, which were identified by Mamer et a l. (2014), include the Tularosa Basin, the Carrizozo hilly plain, the northern high mountains (i.e. Sierra Blanca and Nogal Peaks), and the southern high mountains (southern Sacramento Mountains). A significant number of wells are screened in two or more aquifers. The water table represented on this map thus reflects water levels in multiple water-bearing zones, and is intended to show regional ground water patterns and flow paths. Local conditions may deviate from the larger scale, general trends shown on this regional map."
This contains water level data from Open-File Report 561: Regional water table map of the northeastern Tularosa Basin region, Otero and Lincoln counties, New Mexico
This 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.