The map was developed using available parcel polygons attributed with tax assessment data as of project initiation in early 2020, Computer-Assisted Mass Appraisal (CAMA) data dated February 2020, and the Chesapeake Bay Program’s 2017/18 Land Use Land Cover data (2022 edition), subsequently referred to as “CBP LULC.” The map also incorporates land use datasets provided by county and municipal jurisdictions to the extent possible while maintaining standard statewide classification definitions and rules. The product was developed to be consistent with the 2018 National Agriculture Imagery Program (NAIP) imagery and CBP LULC dataset. MDP’s draft updated land use classification scheme is available as a separate document. This product is a beta release for public use and further testing. Methods for developing subsequent releases beyond this 2018 baseline will be refined based on feedback from the user community. Urban Land Uses 11 Low-density residential - Detached single-family/duplex dwelling units, yards, and associated areas. Includes generalized areas with lot sizes of less than five acres but at least one-half acre (0.2 to 2 dwelling units/acre). 12 Medium-density residential - Detached single-family/duplex, attached single-unit row housing, yards, and associated areas Includes generalized areas with lot sizes of less than one-half acre but at least one-eighth acre (2 to 8 dwelling units/acre). 13 High-density residential - Attached single-unit row housing, garden apartments, high-rise apartments/condominiums, mobile home and trailer parks, yards, and associated areas. Includes generalized areas with more than eight dwelling units per acre. This may include subsidized housing. 14 Commercial - Retail and wholesale services. Areas used primarily for the sale of products and services, including associated yards and parking areas. This category may include airports, welcome houses, telecommunication towers, and boat marinas. 15 Industrial - Manufacturing and industrial parks, including associated warehouses, storage yards, research laboratories, and parking areas. Warehouses that are returned by a commercial query should be categorized as industrial. This also includes power plants. 16 Institutional - Elementary and secondary schools, middle schools, junior and senior high schools, public and private colleges and universities, military installations (built-up areas only, including buildings and storage, training, and similar areas), churches, medical and health facilities, correctional facilities, government offices and facilities that are clearly separable from any surrounding natural or agricultural land cover, and other non-profit uses. 17 Extractive - Surface mining operations, including sand and gravel pits, quarries, coal surface mines, and deep coal mines. Status of activity (active vs. abandoned) is not distinguished. 18 Open urban land - Includes parks, open spaces, recreational areas not classified as institutional, golf courses, and cemeteries. Includes only built-up and turf-dominated areas that are clearly separable from any surrounding natural or agricultural land cover. 190 – Very Low Density Residential – Clustered residential parcels that have lot sizes less than 20 acres but at least five acres (0.2 to 0.05 dwelling units/acre) 50 – Water 80 Transportation - Transportation features include impervious roads, roadway rights-of-way, and parcels primarily containing light rail or metro stations and park-and-ride lots. 99 – Other Land - Remaining land not covered under another category. Examples include but are not limited to unbuilt lots, rural land, single-family residential parcels greater than or equal to 20 acres in size, and undeveloped portions of large parcels containing urban uses. May include undeveloped land that is either developable or constrained from further development. Note: Urban Land Use classifications encompass the entire parcel on parcels less than five acres that contain a structure as of 2018 based on the Maryland Department of Planning and Maryland State Department of Assessment and Taxation’s Computer-Assisted Mass Appraisal (CAMA) Building dataset. Elsewhere, the Chesapeake Bay Program’s 2017/18 Land Use Land Cover dataset (2022 edition) is used to delineate the extent of development on a parcel. For more information, see Methodology Documentation.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

Just over 698 acres, including 214 acres in the authorized boundary of HOME and an additional 484 acres in the environs, were mapped using ten map classes (Figure 5). This included four land cover classes and six vegetation classes. Of all the map units, the most frequent was Fraxinus pennsylvanica / Ulmus spp. / Celtis occidentalis Forest with 21 polygons. Fraxinus pennsylvanica / Ulmus spp. / Celtis occidentalis Forest was also the most abundant map unit in terms of area other than cropfields in the environs, covering 219 acres (89 hectares) or about 13% of the project area. All of the frequencies for each map unit (i.e., number of polygons) along with acreage per map unit are listed in Table 3. Normally the standard minimum mapping unit for NPS vegetation mapping projects is defined as 0.5 hectare. However this is a nominal unit and due to the small size of HOME and the resolution of the imagery it was reduced to allow for more detail in the mapping. Therefore, 13 of the total 60 polygons were under 0.5 hectare. The average area of polygons for this project was 28.8 acres (11.6 hectares).

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission to show generalized land cover for regional planning with a land use component used for forecasts and modeling at ARC.LandPro2012 should not be taken out of its regional context, though county-level or municipal-level analysis may be useful for transportation, environmental and land use planning. LandPro2012 is ARC's land use/land cover GIS database for the 21-county Atlanta Region (Cherokee, Clayton, Cobb, DeKalb, Douglas, Fayette, Fulton, Gwinnett, Henry, Rockdale, the EPA non-attainment (8hr standard) counties of Carroll, Coweta, Barrow, Bartow, Forsyth, Hall, Newton, Paulding, Spalding and Walton and Dawson which will become a part of the 2010 Urbanized Area). LandPro2012 was created by on-screen photo-interpretation and digitizing of ortho-rectified aerial photography. The primary source for this GIS database were the local parcels and the 2009 true color imagery with 1.64-foot pixel resolution, provided by Aerials Express, Inc. 2010 is the first year we have used parcel data to help more accurately delineate the LandPro categories.For ArcGIS 10 users: See full metadata by enabling FGDC metadata in ArcCatalog Customize > ArcCatalog Options > Metadata (tab)Though the terms are often used interchangeably, land use and land cover are not synonymous. Land cover generally refers to the natural or cultivated vegetation, rock, or water covering the land, as well as the developed surface which can be identified on aerial photography. Land use generally refers to the way that humans use or will use the land, regardless of its apparent land cover. Collateral data for the land cover mapping effort included the Aero Surveys of Georgia street atlas, the Georgia Department of Community Affairs (DCA) Community Facilities database and the USGS Digital Raster Graphics (DRGs) of 1:24,000 scale topographic maps. The land use component of this database was added after the land cover interpretation was completed, and is based primarily on ownership information provided by the 21 counties and the City of Atlanta for larger tracts of undeveloped land that meet the land use definition of "Extensive Institutional" or "Park Lands" (refer to the Code Descriptions and Discussion section below). Although some of the boundaries of these tracts may align with visible features from the aerial photography, these areas are generally "non-photo-identifiable," thus require other sources for accurate identification. The land use/cover classification system is adapted from the USGS (Anderson) classification system, incorporating a mix of level I, II and III classes. There are a total of 25 categories in ARC's land use/cover system (described below), 2 of which are used only for land use designations: Park Lands (Code 175) and Extensive Institutional (Code 125). The other 23 categories can describe land use and/or land cover, and in most cases will be the same. The LU code will differ from the LC code only where the Park Lands (Code 175) and Extensive Institutional (Code 125) land holdings have been identified from collateral sources of land ownership.Although similar to previous eras of ARC land use/cover databases developed before 1999 (1995, 1990 etc.), "LandPro" differs in many significant ways. Originally, ARC's land use and land cover database was built from 1975 data compiled by USGS at scales of 1:100,000 and selectively, 1:24,000. The coverage was updated in 1990 using SPOT satellite imagery and low-altitude aerial photography and again in 1995 using 1:24,000 scale panchromatic aerial photography. Unlike these previous 5-year updates, the 1999, 2001, 2003, 2005 2007, 2008 and 2009 LandPro databases were compiled at a larger scale (1:14,000) and do not directly reflect pre-1999 delineations. In addition, all components of LandPro were produced using digital orthophotos for on-screen photo-interpretation and digitizing, thus eliminating the use of unrectified photography and the need for data transfer and board digitizing. As a result, the positional accuracy of LandPro is much higher than in previous eras. There have also been some changes to the classification system prior to 1999. Previously, three categories of Forest (41-deciduous, 42-coniferous, and 43-mixed forest) were used; this version does not distinguish between coniferous and deciduous forest, thus Code 40 is used to simply designate Forest. Likewise, two categories of Wetlands (61-forested wetland, and 62-non-forested wetland) were used before; this version does not distinguish between forested and non-forested wetlands, thus Code 60 is used to simply designate Wetlands. With regard to Wetlands, the boundaries themselves are now based on the National Wetlands Inventory (NWI) delineations along with the CIR imagery. Furthermore, Code 51 has been renamed "Rivers" from "Streams and Canals" and represents the Chattahoochee and Etowah Rivers which have been identified in the land use/cover database. In addition to these changes, Code 52 has been dropped from the system as there are no known instances of naturally occurring lakes in the Region. Finally, the land use code for Park Lands has been changed from 173 to 175 so as to minimize confusion with the Parks land cover code, 173. There has been a change in the agriculture classification for LandPro2005 and any LandPro datasets hereafter. Previously, four categories of agriculture (21- agriculture-cropland and pasture, 22 - agriculture - orchards, 23 - agriculture - confined feeding operations and 24 - agriculture - other) were used; this version does not distinguish between the different agricultural lands. Code 20 is now used to designate agriculture. Due to new technology and the enhancements to this database, direct comparison between LandPro99, LandPro2001, LandPro2003 and landPro2005 and all successive updates are now possible, with the 1999 database serving as ARC's new baseline. Please note that as a result of the 2003 mapping effort, LandPro2001 has been adjusted for better comparison to LandPro2003 and is named "LandPro01_adj." Likewise, LandPro99 was previously adjusted when LandPro2001 was completed, but was not further adjusted following the 2003 update. Although some adjustments were originally made to the 1995 land use/cover database for modeling applications, direct comparisons to previous versions of ARC land use/cover before 1999 should be avoided in most cases.The 2010 update has moved away from using the (1:14,000) scale, as will any future updates. Due to the use of local parcels, we have begun to snap LandPro boundaries to the parcel data, making a more accurate dataset. The major change in this update was to make residential areas reflect modern zoning codes more closely. Due to these changes you will no longer be able to compare this dataset to previous years. High density (113) has changed from lots below .25 to lots .25 and smaller. Medium density (112) has changed from .25 to 2 acre lots, to .26 to 1 acre lots. Low density has changed from 2 to 5 acre lots to 1.1 to 2 acre lots. It must be noted that in the 2010 update, you still have old acreage standards reflected in the low density. This will be corrected in the 2011 and 2012 updates. The main focus of the 2010 update was to make sure the LandPro' residential areas reflected the local parcels and change LandPro based on the parcel acreage. DeKalb is the only county not corrected at this time because no parcels were available. The future updates will consist of but are not limited to, reclassifying areas in 111 that do not meet the new acreage standards, delineating and reclassifying Cell Towers, substations and transmission lines/power cuts from TCU (14) to a subset of this (142), reclassifying airports as 141 form TCU, and reclassifying landfills form urban other (17) to 174. Other changes are delineating more roads other than just Limited Access Highways, making sure parks match the already existing Land use parks layer, and beginning to differentiate office from commercial and commercial/industrial.Classification System:111: Low Density Single Family Residential - Houses on 1.1 - 2 acre lots. Though 2010 still reflects the old standard of lots up to 5 acres.112: Medium Density Single Family Residential - These areas usually occur in urban or suburban zones and are generally characterized by houses on .26 to 1 acre lots. This category accounts for the majority of residential land use in the Region and includes a wide variety of neighborhood types.113: High Density Residential - Areas that have predominantly been developed for concentrated single family residential use. These areas occur almost exclusively in urban neighborhoods with streets on a grid network, and are characterized by houses on lots .25 acre or smaller but may also include mixed residential areas with duplexes and small apartment buildings.117: Multifamily Residential - Residential areas comprised predominantly of apartment, condominium and townhouse complexes where net density generally exceeds eight units per acre. Typical apartment buildings are relatively easy to identify, but some high rise structures may be interpreted as, or combined with, office buildings, though many of these dwellings were identified and delineated in downtown and midtown for the first time with the 2003 update. Likewise, some smaller apartments and townhouses may be interpreted as, or combined with, medium- or high-density single family residential. Housing on military bases, campuses, resorts, agricultural properties and construction work sites is not included in this or other residential categories.119: Mobile Home Parks - Areas that have been developed for single family mobile home use. These residential areas may occur in urban, suburban, or rural zones throughout the Region, with or without a significant mix of forested land cover. Due to their sparse distribution, individual mobile homes are

Map Gallery of individual Neighborhood Associations and Organizations registered with the City of Bloomington Housing and Neighborhood Development Department (HAND)

Related Maps
Neighborhood Maps
Neighborhood Compliance Zone Maps

Northwest Neighborhoods
Arlington Valley
Crescent Bend
Crestmont Residential Community
Fritz Terrace
Maple Heights
Near West Side
North Kinser Point
Northwood Estates
Pigeon Hill
Sixth and Ritter
Trail View
Waterman

Northeast Neighborhoods
Blue Ridge
Eastern Heights
Garden Hill
Grandview Hills
Green Acres
High Point
Matlock Heights
Old Northeast
Park Ridge East
Park Ridge
South Griffy

Southeast Neighborhoods
Arden Place
Ashwood
Barclay Gardens
Bentley Court
Bittner Woods
Bryan Park
Eastside
Elm Heights
Gentry Estates
Hearthstone
Hoosier Acres
Hyde Park Village
Longwood-Devon
Moss Creek Village
Peppergrass
Pinestone
Saint James Woods
Sherwood Oaks
Somax
Spicewood
Sunny Slopes
Sycamore Knolls
Timber Ridge
Walnut Creek
The Woodlands-Windingbrook

Southwest Neighborhoods
Autumnview
Broadview
Evergreen Village
Highland Village
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This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission and is a generalized landcover database designed for Regional Planning. Although it has a landuse component which is used for forecasts and modeling at ARC, outside users should be aware that the landcover and landuse delineations are based on photo-interpretation of a 5-acre and 25-acre minimum mapping unit respectively, not parcels. Likewise, LandPro2007 should not be taken out of its Regional context, though county-level or municipal-level analysis may be useful for transportation, environmental and landuse planning. LandPro2007 is ARC's landuse/landcover GIS database for the 20-county Atlanta Region (Cherokee, Clayton, Cobb, DeKalb, Douglas, Fayette, Fulton, Gwinnett, Henry, Rockdale, the EPA non-attainment (1hr standard) counties of Forsyth, Paulding and Coweta. and the EPA non-attainment (8hr standard) counties of Carroll, Barrow, Bartow, Hall, Newton, Spalding and Walton). LandPro2005 was created by on-screen photo-interpretation and digitizing of ortho-rectified aerial photography at a scale of 1:14,000. The primary source for this GIS database was 2007 true color imagery with 1.64-foot pixel resolution, provided by Aerials Express, Inc.Though the terms are often used interchangeably, landuse and landcover are not synonymous. Landcover generally refers to the natural or cultivated vegetation, rock, or water covering the land, as well as the developed surface which can be identified on aerial photography. Landuse generally refers to the way that humans use or will use the land, regardless of its apparent landcover. Collateral data for the landcover mapping effort included the Aero Surveys of Georgia street atlas, the Georgia Department of Community Affairs (DCA) Community Facilities database and the USGS Digital Raster Graphics (DRGs) of 1:24,000 scale topographic maps. The landuse component of this database was added after the landcover interpretation was completed, and is based primarily on ownership information provided by the 20 counties and the City of Atlanta for larger tracts of undeveloped land that meet the landuse definition of "Extensive Institutional" or "Park Lands" (refer to the Code Descriptions and Discussion section below). Although some of the boundaries of these tracts may align with visible features from the aerial photography, these areas are generally "non-photo-identifiable," thus require other sources for accurate identification. The minimum mapping unit standard for this database is generally 5 acres, with varying exceptions based on category and context. Some smaller Intensive Institutional (mostly elementary schools), Commercial, Cemeteries, and Reservoirs (impoundments) have been intentionally delineated in some cases throughout the Region. Within the downtown and midtown areas, many small polygons of multi-family residential have been identified and added with the 2003 update and expanded upon in the 2005 and in the 2007 update through research of mostly web-based resources. Within single-family neighborhoods, differentiation of adjacent residential areas (111-low density, 112-medium density, and 113-high density) is generally 25 acres, and within agricultural areas, delineation of some forested areas (Code 40) is occasionally larger. 25 acres is also the minimum mapping consideration for the landuse categories of Extensive Institutional (Code 125) and Park Lands (Code 175). The landuse/cover classification system is adapted from the USGS (Anderson) classification system, incorporating a mix of level I, II and III classes. There are a total of 25 categories in ARC's landuse/cover system (described below), 2 of which are used only for landuse designations: Park Lands (Code 175) and Extensive Institutional (Code 125). The other 23 categories can describe landuse and/or landcover, and in most cases will be the same. The LU code will differ from the LC code only where the Park Lands (Code 175) and Extensive Institutional (Code 125) land holdings have been identified from collateral sources of land ownership.Although similar to previous eras of ARC landuse/cover databases developed before 1999 (1995, 1990 etc.), "LandPro" differs in many significant ways. Originally, ARC's landuse and landcover database was built from 1975 data complied by USGS at scales of 1:100,000 and selectively, 1:24,000. The coverage was updated in 1990 using SPOT satellite imagery and low-altitude aerial photography and again in 1995 using 1:24,000 scale panchromatic aerial photography. Unlike these previous 5-year updates, the 1999, 2001, 2003, 2005 and now 2007 LandPro databases were compiled at a larger scale (1:14,000) and do not directly reflect pre-1999 delineations. In addition, all components of LandPro were produced using digital orthophotos for on-screen photo-interpretation and digitizing, thus eliminating the use of unrectified photography and the need for data transfer and board digitizing. As a result, the positional accuracy of LandPro is much higher than in previous eras. There have also been some changes to the classification system prior to 1999. Previously, three categories of Forest (41-deciduous, 42-coniferous, and 43-mixed forest) were used; this version does not distinguish between coniferous and deciduous forest, thus Code 40 is used to simply designate Forest. Likewise, two categories of Wetlands (61-forested wetland, and 62-non-forested wetland) were used before; this version does not distinguish between forested and non-forested wetlands, thus Code 60 is used to simply designate Wetlands. With regard to Wetlands, the boundaries themselves are now based on the National Wetlands Inventory (NWI) delineations along with the CIR imagery. Furthermore, Code 51 has been renamed "Rivers" from "Streams and Canals" and represents the Chattahoochee and Etowah Rivers which have been identified in the landuse/cover database. In addition to these changes, Code 52 has been dropped from the system as there are no known instances of naturally occurring lakes in the Region. Finally, the landuse code for Park Lands has been changed from 173 to 175 so as to minimize confusion with the Parks landcover code, 173. There has been a change in the agriculture classification for LandPro2005 and any LandPro datasets hereafter. Previously, four catagories of agriculture (21- agriculture-cropland and pasture, 22 - agriculture - orchards, 23 - agriculture - confined feeding operations and 24 - agriculture - other) were used; this version does not distinguish between the different agricultural lands. Code 20 is now used to designate agriclture. Due to new technology and the enhancements to this database, direct comparison between LandPro99, LandPro2001, LandPro2003 and landPro2005 is now possible, with the 1999 database serving as ARC's new baseline. Please note that as a result of the 2003 mapping effort, LandPro2001 has been adjusted for better comparison to LandPro2003 and is named "LandPro01_adj." Lilkewise, LandPro99 was previously adjusted when LandPro2001 was completed, but was not further adjusted following the 2003 update. Although some adjustments were originally made to the 1995 landuse/cover database for modeling applications, direct comparisons to previous versions of ARC landuse/cover before 1999 should be avoided in most cases.

Classification System:

111: Low Density Single Family Residential - Areas that have generally been developed for single family residential use, usually with a significant mix of forested or agricultural landcover. These areas often occur on the periphery of urban expansion and are generally characterized by houses on 2 to 5 acre lots. Some examples of this category include rural housing, estates, and linear residential developments along transportation routes.

112: Medium Density Single Family Residential - Areas that have predominantly been developed for single family residential use, with or without a significant mix of forested or agricultural landcover. These areas usually occur in urban or suburban zones and are generally characterized by houses on 1/4 to 2 acre lots. This category accounts for the majority of residential landuse in the Region and includes a wide variety of neighborhood types.

113: High Density Residential - Areas that have predominantly been developed for concentrated single family residential use. These areas occur almost exclusively in urban neighborhoods with streets on a grid network, and are characterized by houses on lots smaller than 1/4 acre, but may also include mixed residential areas with duplexes and small apartment buildings.

117: Multifamily Residential - Residential areas comprised predominantly of apartment, condominium and townhouse complexes where net density generally exceeds eight units per acre. Typical apartment buildings are relatively easy to identify, but some high rise structures may be interpreted as, or combined with, office buildings, though many of these dwellings were identified and delineated in downtown and midtown for the first time with the 2003 update. Likewise, some smaller apartments and townhouses may be interpreted as, or combined with, medium- or high-density single family residential. Housing on military bases, campuses, resorts, agricultural properties and construction work sites is not included in this or other residential categories.

119: Mobile Home Parks - Areas that have been developed for single family mobile home use. These residential areas may occur in urban, suburban, or rural zones throughout the Region, with or without a significant mix of forested landcover. Due to their sparse distribution, individual mobile homes are generally mapped with the Forest landcover (Code 40) and Low- or

Comprehensive app to show three separate dashboards for zoning, future land use map, and undeveloped land. Apps: Zoning by Parcels DashboardUndeveloped Land DashboardFLUM by Parcels Dashboard

America's private forests provide a vast array of public goods and services, including abundant, clean surface water. Forest loss and development can affect water quality and quantity when forests are removed and impervious surfaces, such as paved roads, spread across the landscape. We rank watersheds across the conterminous United States according to the contributions of private forest land to surface drinking water and by threats to surface water from increased housing density. Private forest land contributions to drinking water are greatest in the East but are also important in Western watersheds. Development pressures on these contributions are concentrated in the Eastern United States but are also found in the North-Central region, parts of the West and Southwest, and the Pacific Northwest; nationwide, more than 55 million acres of rural private forest land are projected to experience a substantial increase in housing density from 2000 to 2030. Planners, communities, and private landowners can use a range of strategies to maintain freshwater ecosystems, including designing housing and roads to minimize impacts on water quality, managing home sites to protect water resources, and using payment schemes and management partnerships to invest in forest stewardship on public and private lands.This data is based on the digital hydrologic unit boundary layer to the Subwatershed (12-digit) 6th level for the continental United States. To focus this analysis on watersheds with private forests, only watersheds with at least 10% forested land and more than 50 acres of private forest were analyzed. All other watersheds were labeled ?Insufficient private forest for this analysis"and coded -99999 in the data table. This dataset updates forest and development statistics reported in the the 2011 Forests to Faucet analysis using 2006 National Land Cover Database for the Conterminous United States, Grid Values=41,42,43,95. and Theobald, Dr. David M. 10 March 2008. bhc2000 and bhc2030 (Housing density for the coterminous US in 2000 and 2030, respectively.) Field Descriptions:HUC_12: Twelve Digit Hydrologic Unit Code: This field provides a unique 12-digit code for each subwatershed.HU_12_DS: Sixth Level Downstream Hydrologic Unit Code: This field was populated with the 12-digit code of the 6th level hydrologic unit that is receiving the majority of the flow from the subwatershed.IMP1: Index of surface drinking water importance (Appendix Map). This field is from the 2011 Forests to Faucet analysis and has not been updated for this analysis.HDCHG_AC: Acres of housing density change on private forest in the subwatershed. HDCHG_PER: Percent of the watershed to experience housing density change on private forest. IMP_HD_PFOR: Index Private Forest importance to Surface Drinking Water with Development Pressure - identifies private forested areas important for surface drinking water that are likely to be affected by future increases in housing density, Ptle_IMP_HD: Private Forest importance to Surface Drinking Water with Development Pressure (Figure 7), percentile. Ptle_HDCHG: Percentage of each subwatershed to Experience an increase in House Density in Private Forest (Figure 6), percentile. FOR_AC: Acres forest (2006) in the subwatershed. PFOR_AC: Acres private forest (2006) in the subwatershed. PFOR_PER: Percent of the subwatershed that is private forest. HU12_AC: Acreage of the subwatershedFOR_PER: Percent of the subwatershed that is forest. PFOR_IMP: Index of Private Forest Importance to Surface Drinking Water. .Ptle_PFIMP: Private forest importance to surface drinking water(Figure 4), percentile. TOP100: Top 100 subwatersheds. 50 from the East, 50 from the west (using the Mississippi River as the divide.) Metadata

A web map used to access tax parcel, boundary, ownership, acreage, survey, zoning and tax information. Errors and Omissions Do Exist.The information provided is for reference only and subject to independent verification. User assumes all responsibility for its use.https://www.fayette-co-oh.com/Fayette County ProfileFayette County is a county located in the U.S. state of Ohio. Its county seat is Washington Court House. Fayette County was formed on March 1, 1810 from portions of Highland County and Ross County. It was named after Marie-Joseph Motier, Marquis de La Fayette, a French general and politician who took the side of the Colonials during the American Revolutionary War and who played an important role in the French Revolution.Fayette County is a part of the Virginia Military survey, which was reserved in 1783, to be allotted to Virginia soldiers. This district includes the entire counties of Adams, Brown, Clermont, Clinton, Highland, Fayette, Madison and Union; and a portion of the counties of Scioto, Pike, Ross, Pickaway, Franklin, Delaware, Marion, Hardin, Logan, Champaign, Clarke, Greene, Warren and Hamilton.Fayette County was formed January 19, 1810 (took effect March 1st) from Ross and Highland counties. Beginning at the southwest corner of Pickaway, running north “with the line of said county to the corner of Madison; thence west with the line of said Madison county to the line of Greene county; thence south with the line of Greene county to the southeast corner thereof; thence east five miles; thence south to the line of Highland county; thence east with said line to Paint Creek; thence in a straight line to the beginning.” All the lower portion was taken from Highland and the upper from Ross.The first portion of land entered within the territory of what is now Fayette county, was a part of original surveys Nos. 243 and 772, lying partly in Clinton county. The first survey lying wholly within Fayette county was No. 463, in what is now Madison township, surveyed for Thomas Overton by John O’Bannon June 30, 1776.The original townships were Jefferson, Greene, Wayne, Madison, Paint and Union. Concord township was formed in April 1818, from Greene. Marion township was formed in June, 1840 from Madison. Perry township was formed June 4, 1845, from Wayne and Greene. Jasper township was formed from Jefferson and Concord December 2, 1845.Washington C.H. was laid out originally on a part of entry 757, which contained 1200 acres and belonged to Benjamin Temple, of Logan county, Kentucky, who donated 150 acres to Fayette county, on condition that it be used as the site of the county seat. The deed of conveyance was made December 1, 1810, by Thomas S. Hind, attorney for Temple, to Robert Stewart, who was appointed by the legislature as director for the town of Washington. The town was laid off some time between December 1, 1810, and February 26, 1811, the latter being the date of the record of the town plat.Bloomingburg (originally called New Lexington) was laid out in 1815, by Solomon Bowers, and originally contained 34 and ¾ acres. On March 4, 1816, Bowers laid out and added twenty more lots. The name of the town was later changed to Bloomingburg by act of the legislature. The town was incorporated by act of the legislature, February 5, 1847.Jeffersonville was laid out March 1, 1831, by Walter B. Write and Chipman Robinson, on 100 acres of land belonging to them, they started selling the lots at $5 each. The town incorporated March 17, 1838. The first house was erected by Robert Wyley.The first railroad, now the C. & M. V., was completed in 1852; the second, now the Detroit Southern, in 1875; the third, now the C.H. & D. in 1879; and the fourth, now the B. & O. S. W., in 1884.The first permanent settler (probably) was a Mr. Wolf who settled in what is now Wayne township, in about the year 1796. - Circa 1886 - Map of Fayette County, Ohio. Issued by the Fayette County Record.

This feature class describes resources contained within any of the approximately 14 NPS cultural resource databases, classified as historic buildings, and depicted as polygons. The National Register of Historic Places requires the submission of a single UTM coordinate pair for properties under 10 acres and a series of bounding coordinate pairs for properties over 10 acres and this same criteria may be used for other NPS cultural resource programs, or modified as necessary to accurately depict the location of a building. In many cases, polygons depicting buildings represent building footprints. Based on National Register of Historic Places resource type definitions applied across all of the NPS cultural resource databases, abuilding, such as a house, barn, church, hotel, or similar construction, is created principally to shelter any form of human activity. A building may also be used to refer to a historically and functionally related unit, such as a courthouse and jail or a house and barn. Buildings include: houses, barns, stables, sheds, garages, courthouses, city halls, social halls, commercial buildings, libraries, factories, mills, train depots, stationary mobile homes, hotels, theaters, schools, stores and churches.Attribute data in this dataset are intentionally limited to those necessary for spatial data maintenance and feature level metadata necessary to document the lineage of the geography itself. Data from external database systems, such as any of the 14 NPS cultural resource databases, are intended to link with these data to provide basic feature attributes. The means to maintain unique identifiers for each historic site (CR_ID), Survey_ID, as well as unique geometries associated with that feature (Geometry_ID) are through the use of Globally Unique Identifiers (GUIDs) assigned by the database. Information about the genesis of individual points is documented by feature level metadata fields in the spatial attribute table. Both restricted and unrestricted locations of historic properties are included in this GeoDatabase, and identified in the feature level metadata. Release of locational information for cultural resources are subject to the provisions of Section 304 of the National Historic Preservation Act as Amended and Section (9)(a)(2) of the Archaeological Resources Protection Act as Amended. The metadata in the feature attribute table are compliant with the National Park Service’s Cultural Resource Spatial Data Transfer Standards. These standards were created to facilitate the exchange of spatial data within a variety of contexts, particularly Sections 106 and 110 of NHPA as well as in the context of disaster recovery events. Often locations of National Register listed properties and other historic resources eligible for the National Register are needed in these situations.

Attachment regarding request by Frank Kent Dickens for an expansion and revision of his existing Conditional Use Permit for a privately owned camp ground, specifically for campers, travel trailers, and recreational vehicles / motor homes to add 18.7 acres (total 26 acres) to include 84 additional sites (total 105 sites) along with a swimming pool, bath house and laundry facility, to be located off S. R. 1916, Corinth Road in Cape Fear Township.

Attachment regarding request by Sears design Group, P. A. on behalf of Fitch Creations, Inc. for a Conditional Use Permit for a Planned Unit Development (Fearrington North) on 40 acres, to consist of 24 clustered single-family homes and 9 single-family lots, 33 total residential units, located off SR-1718, Villageway and SR-1785, Beechmast, Williams Township.

The map was created to be shared within the Hudson County Place Vulnerability Instant App. Layers from the Hudson County Place Vulnerability Midterm Web Map were originally copied over and uneeded layers were deleted. The resulting map shows community lifelines in Hudson County, NJ.LayersPower Plants: Includes all New Jersey power plants about 1 Megawatt capacity. The layer was obtained via the NJDEP Bureau of GIS website. Source: https://njdep.maps.arcgis.com/home/item.html?id=282eb9eb22cc40a99ed509a7aa9f7c90Solid & Hazardous Waste Facilities: Includes hazardous waste facilities, medical waste facilities, incinerators, recycling facilities, and landfill sites within New Jersey. Obtained via the NJDEP Bureau of GIS website. Source: https://njdep.maps.arcgis.com/home/item.html?id=896615180fb04d8eafda0df9df9a1d73Solid Waste Landfill Sites over 35 Acres: Includes solid waste landfill sites in New Jersey that are larger than 35 acres. Obtained via the NJDEP Bureau of GIS website. Source: https://gisanddata.maps.arcgis.com/home/item.html?id=2b4eab598df94ffabaa8d92e3e46deb4NJ Transit Rail Lines: A layer showing segments of the NJ Transit Rail System and terminals. Data was obtained via the NJ Transit GIS Department. Source: https://www.arcgis.com/home/item.html?id=e6701817be974795aecc7f7a8cc42f79Medical Emergency Response Structures: Contains emergency response centers within the U.S. based off National Geospatial Data Asset data from the U.S. Geological Survey. The layer was obtained using ESRI's Living Atlas. Source: https://gisanddata.maps.arcgis.com/home/item.html?id=2c36dbb008844081b017da6fd3d0d28b

Note: This is a large dataset. To download, go to ArcGIS Open Data Set and click the download button, and under additional resources select the shapefile or geodatabase option. America's private forests provide a vast array of public goods and services, including abundant, clean surface water. Forest loss and development can affect water quality and quantity when forests are removed and impervious surfaces, such as paved roads, spread across the landscape. We rank watersheds across the conterminous United States according to the contributions of private forest land to surface drinking water and by threats to surface water from increased housing density. Private forest land contributions to drinking water are greatest in the East but are also important in Western watersheds. Development pressures on these contributions are concentrated in the Eastern United States but are also found in the North-Central region, parts of the West and Southwest, and the Pacific Northwest; nationwide, more than 55 million acres of rural private forest land are projected to experience a substantial increase in housing density from 2000 to 2030. Planners, communities, and private landowners can use a range of strategies to maintain freshwater ecosystems, including designing housing and roads to minimize impacts on water quality, managing home sites to protect water resources, and using payment schemes and management partnerships to invest in forest stewardship on public and private lands.This data is based on the digital hydrologic unit boundary layer to the Subwatershed (12-digit) 6th level for the continental United States. To focus this analysis on watersheds with private forests, only watersheds with at least 10% forested land and more than 50 acres of private forest were analyzed. All other watersheds were labeled ?Insufficient private forest for this analysis"and coded -99999 in the data table. This dataset updates forest and development statistics reported in the the 2011 Forests to Faucet analysis using 2006 National Land Cover Database for the Conterminous United States, Grid Values=41,42,43,95. and Theobald, Dr. David M. 10 March 2008. bhc2000 and bhc2030 (Housing density for the coterminous US in 2000 and 2030, respectively.) Field Descriptions:HUC_12: Twelve Digit Hydrologic Unit Code: This field provides a unique 12-digit code for each subwatershed.HU_12_DS: Sixth Level Downstream Hydrologic Unit Code: This field was populated with the 12-digit code of the 6th level hydrologic unit that is receiving the majority of the flow from the subwatershed.IMP1: Index of surface drinking water importance (Appendix Map). This field is from the 2011 Forests to Faucet analysis and has not been updated for this analysis.HDCHG_AC: Acres of housing density change on private forest in the subwatershed. HDCHG_PER: Percent of the watershed to experience housing density change on private forest. IMP_HD_PFOR: Index Private Forest importance to Surface Drinking Water with Development Pressure - identifies private forested areas important for surface drinking water that are likely to be affected by future increases in housing density, Ptle_IMP_HD: Private Forest importance to Surface Drinking Water with Development Pressure (Figure 7), percentile. Ptle_HDCHG: Percentage of each subwatershed to Experience an increase in House Density in Private Forest (Figure 6), percentile. FOR_AC: Acres forest (2006) in the subwatershed. PFOR_AC: Acres private forest (2006) in the subwatershed. PFOR_PER: Percent of the subwatershed that is private forest. HU12_AC: Acreage of the subwatershedFOR_PER: Percent of the subwatershed that is forest. PFOR_IMP: Index of Private Forest Importance to Surface Drinking Water. .Ptle_PFIMP: Private forest importance to surface drinking water(Figure 4), percentile. TOP100: Top 100 subwatersheds. 50 from the East, 50 from the west (using the Mississippi River as the divide.) Metadata

The Urban Growth Area is used to manage future growth around densely populated areas. The urban growth area is the city/town and adjacent unincorporated growth area identified by the cities/towns/county to receive urban growth in the future. Outside of the boundary only rural growth is permissible.

Correction to this data can only be made through a Comprehensive Plan change or at the direction of Thurston County Long Range Planning due to a scrivener's error. The 1990 Washington State Growth Management Act requires the state's fastest growing cities and counties to designate UGAs around each city and town to accommodate the expected population growth over the next 20 years. In Thurston County, UGAs surround Bucoda, Lacey, Olympia, Rainier, Tumwater, Tenino, and Yelm. The current boundaries of the UGAs were established in 1990 and updated via the 2015 adoption of the Thurston County Comprehensive Plan: CHAPTER II - LAND USE II.URBAN GROWTH AREAS History and Purpose of Thurston County's Urban Growth Areas: In 1983, Thurston County, along with the cities of Olympia, Lacey and Tumwater, blazed the trail for growth management in Washington State by signing an interlocal government agreement called the "Urban Growth Management Agreement." That early agreement included an Urban Growth Management Boundary around the three cities to serve as a limit for the cities' expansion for 20 years. The purposes of the county's original growth areas remain relevant today: To provide for higher intensity development around the county's incorporated cities and towns and unincorporated community centers in order to concentrate development in areas where minimal impact to the environment, natural resources and rural atmosphere will occur. To minimize public costs and conserve energy by using services and facilities efficiently through concentration of development and integration of jobs, shopping, services and housing. To phase urban growth and infill with the provision of urban public services and facilities. One of the main effects of an urban growth area is to provide a limit for the extension of urban utilities, especially sewer service. To that end, overall residential density in urban growth areas should be high enough to support urban public services and to provide affordable housing choices. There should be a variety of housing types, with most densities ranging from 4 to 16 dwelling units per acre. Map M-14 identifies the urban growth areas for each city or town in Thurston County. The UGAs must accommodate the urban growth projected over the next 20 years including a reasonable market factor. Policies and actions emphasize the provision of urban land uses and services and include provisions specifically aimed at reducing low density residential sprawl. Joint plans established with each city and town include planning policies for each UGA. Joint plans are contained in separate documents, but are incorporated as part of the Thurston County Comprehensive Plan. Detailed land use designations for all UGAs around cities and towns are provided in the following joint plans (Map M-14 is keyed to the numbering below):Olympia/Thurston County Joint PlanLacey/Thurston County Joint Plan Tumwater/Thurston County Joint PlanYelm/Thurston County Joint PlanRainier/Thurston County Joint PlanTenino/Thurston County Joint PlanBucoda/Thurston County Joint PlanList of Map Correction's (Correction can only be made through a Comprehensive Plan change or at the direction of Thurston County Long Range Planning due to a scrivener's error.)Made on 5 AUG 2014 by KLW. Made on 15 July 2016 by KAH. - Correction of scrivener's error in Tenino UGA Boundary at the Teitge Annexations. This error was due to parcel and city mapping issues. The UGA has been fixed to be consistent with the parcel legal descriptions and the legal description included in the annexation ordinance approved by the City of Tenino, and the annexation approved by the Boundary Review Board.

"Due to the size of this dataset, both Shapefile and Spreadsheet download options will not work as expected. The File Geodatabase is an alternative option for this data download"SCAG has developed its regional geospatial dataset of land use information at the parcel-level (approximately five million parcels) for 197 local jurisdictions in its region. The regional land use dataset is developed (1) to aid in SCAG’s regional transportation planning, scenario planning and growth forecasting, (2) facilitate policy discussion on various planning issues, and (3) enhance information database to better serve SCAG member jurisdictions, research institutes, universities, developers, general public, etc. This is SCAG's 2016 regional land use dataset developed for the Final Connect SoCal, the 2020-2045 Regional Transportation Plan/Sustainable Communities Strategy (RTP/SCS), including general plan land use, specific plan land use, zoning code and existing land use. Please note this data was reviewed by local jurisdictions and reflects each jurisdiction's input received during the Connect SoCal Local Input and Envisioning Process.Note: This dataset is intended for planning purposes only, and SCAG shall incur no responsibility or liability as to the completeness, currentness, or accuracy of this information. SCAG assumes no responsibility arising from use of this information by individuals, businesses, or other public entities. The information is provided with no warranty of any kind, expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Users should consult with each local jurisdiction directly to obtain the official land use information.Data DictionaryField NameData TypeField DescriptionOBJECTIDObject IDInternal feature numberShapeGeometryType of geometrySCAGUID16Text2016 SCAG unique identification numberSCAGUID12Text2012 SCAG unique identification numberAPNTextAssessor’s parcel numberCOUNTYTextCounty nameCOUNTY_IDDoubleCounty FIPS codeCITYTextCity nameCITY_IDDoubleCity FIPS codeACRESDoubleAcreage informationYEARDoubleDataset yearCITY_GP_COText2016 Jurisdiction’s general plan land use designationSCAG_GP_COText2016 SCAG general plan land use codeDENSITYDoubleAverage density of residential/housing development (dwelling unit per acre) permitted based on jurisdiction’s general planLOWDoubleMinimum density of residential/housing development permitted (dwelling unit per acre) based on jurisdiction’s general planHIGHDoubleMaximum density of residential/housing development permitted (dwelling unit per acre) based on jurisdiction’s general planYEAR_ADOPTDateYear when jurisdiction adopted/last updated current general plan land use elementGP12_CITYText2012 jurisdiction’s general plan land use designationGP12_SCAGText2012 SCAG general plan land use codeSP_NAMETextSpecific plan nameCITY_SP_COText2016 Jurisdiction’s specific plan land use designationSCAG_SP_COText2016 SCAG specific plan land use codeDENSITY_SPDoubleAverage density of residential/housing development (dwelling unit per acre) permitted based on jurisdiction’s specific planLOW_SPDoubleMinimum density of residential/housing development permitted (dwelling unit per acre) based on jurisdiction’s specific planHIGH_SPDoubleMaximum density of residential/housing development permitted (dwelling unit per acre) based on jurisdiction’s specific planYR_AD_SPDateYear when jurisdiction adopted/last updated current specific planSP_INDEXShort IntegerSpecific plan index ('0' = outside specific plan area; '1' = inside specific plan area)CITY_ZN_COText2016 Jurisdiction’s zoning codeSCAG_ZN_COText2016 SCAG zoning codeZN12_CITYText2012 jurisdiction’s zoning codeLU16Text2016 SCAG existing land use codeLU12Text2012 SCAG existing land use codeNOTESTextAdditional informationShape_LengthDoubleLength of feature in internal unitsShape_AreaDoubleArea of feature in internal units squared2016 SCAG Land Use CodesLegendLand Use DescriptionSingle Family Residential1110 Single Family Residential1111 High Density Single Family Residential (9 or more DUs/ac)1112 Medium Density Single Family Residential (3-8 DUs/ac)1113 Low Density Single Family Residential (2 or less DUs/ac)Multi-Family Residential1120 Multi-Family Residential1121 Mixed Multi-Family Residential1122 Duplexes, Triplexes and 2- or 3-Unit Condominiums and Townhouses1123 Low-Rise Apartments, Condominiums, and Townhouses1124 Medium-Rise Apartments and Condominiums1125 High-Rise Apartments and CondominiumsMobile Homes and Trailer Parks1130 Mobile Homes and Trailer Parks1131 Trailer Parks and Mobile Home Courts, High-Density1132 Mobile Home Courts and Subdivisions, Low-DensityMixed Residential1140 Mixed Residential1100 ResidentialRural Residential1150 Rural ResidentialGeneral Office1210 General Office Use1211 Low- and Medium-Rise Major Office Use1212 High-Rise Major Office Use1213 SkyscrapersCommercial and Services1200 Commercial and Services1220 Retail Stores and Commercial Services1221 Regional Shopping Center1222 Retail Centers (Non-Strip With Contiguous Interconnected Off-Street Parking)1223 Retail Strip Development1230 Other Commercial1231 Commercial Storage1232 Commercial Recreation1233 Hotels and MotelsFacilities1240 Public Facilities1241 Government Offices1242 Police and Sheriff Stations1243 Fire Stations1244 Major Medical Health Care Facilities1245 Religious Facilities1246 Other Public Facilities1247 Public Parking Facilities1250 Special Use Facilities1251 Correctional Facilities1252 Special Care Facilities1253 Other Special Use FacilitiesEducation1260 Educational Institutions1261 Pre-Schools/Day Care Centers1262 Elementary Schools1263 Junior or Intermediate High Schools1264 Senior High Schools1265 Colleges and Universities1266 Trade Schools and Professional Training FacilitiesMilitary Installations1270 Military Installations1271 Base (Built-up Area)1272 Vacant Area1273 Air Field1274 Former Base (Built-up Area)1275 Former Base Vacant Area1276 Former Base Air FieldIndustrial1300 Industrial1310 Light Industrial1311 Manufacturing, Assembly, and Industrial Services1312 Motion Picture and Television Studio Lots1313 Packing Houses and Grain Elevators1314 Research and Development1320 Heavy Industrial1321 Manufacturing1322 Petroleum Refining and Processing1323 Open Storage1324 Major Metal Processing1325 Chemical Processing1330 Extraction1331 Mineral Extraction - Other Than Oil and Gas1332 Mineral Extraction - Oil and Gas1340 Wholesaling and WarehousingTransportation, Communications, and Utilities1400 Transportation, Communications, and Utilities1410 Transportation1411 Airports1412 Railroads1413 Freeways and Major Roads1414 Park-and-Ride Lots1415 Bus Terminals and Yards1416 Truck Terminals1417 Harbor Facilities1418 Navigation Aids1420 Communication Facilities1430 Utility Facilities1431 Electrical Power Facilities1432 Solid Waste Disposal Facilities1433 Liquid Waste Disposal Facilities1434 Water Storage Facilities1435 Natural Gas and Petroleum Facilities1436 Water Transfer Facilities1437 Improved Flood Waterways and Structures1438 Mixed Utilities1440 Maintenance Yards1441 Bus Yards1442 Rail Yards1450 Mixed Transportation1460 Mixed Transportation and UtilityMixed Commercial and Industrial1500 Mixed Commercial and IndustrialMixed Residential and Commercial1600 Mixed Residential and Commercial1610 Residential-Oriented Residential/Commercial Mixed Use1620 Commercial-Oriented Residential/Commercial Mixed UseOpen Space and Recreation1800 Open Space and Recreation1810 Golf Courses1820 Local Parks and Recreation1830 Regional Parks and Recreation1840 Cemeteries1850 Wildlife Preserves and Sanctuaries1860 Specimen Gardens and Arboreta1870 Beach Parks1880 Other Open Space and Recreation1890 Off-Street TrailsAgriculture2000 Agriculture2100 Cropland and Improved Pasture Land2110 Irrigated Cropland and Improved Pasture Land2120 Non-Irrigated Cropland and Improved Pasture Land2200 Orchards and Vineyards2300 Nurseries2400 Dairy, Intensive Livestock, and Associated Facilities2500 Poultry Operations2600 Other Agriculture2700 Horse RanchesVacant3000 Vacant3100 Vacant Undifferentiated3200 Abandoned Orchards and Vineyards3300 Vacant With Limited Improvements3400 Beaches (Vacant)1900 Urban VacantWater4000 Water4100 Water, Undifferentiated4200 Harbor Water Facilities4300 Marina Water Facilities4400 Water Within a Military Installation4500 Area of Inundation (High Water)Specific Plan7777 Specific PlanUnder Construction1700 Under ConstructionUndevelopable or Protected Land8888 Undevelopable or Protected LandUnknown9999 Unknown