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TwitterThe regulations of the Laurelhurst/Eastmoreland plan district enforce the special setback requirements of Ordinances 70343 and 70341. This plan district maintains the established character of the Laurelhurst and Eastmoreland areas, characterized by homes with larger than normal building setbacks from the street. https://www.portlandoregon.gov/bps/article/53375-- Additional Information: Category: Zoning Code Purpose: For mapping the areas with special setbacks. Setback distance is defined by the annotation layer. Update Frequency: As Needed-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=53429
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TwitterThis service from MassGIS has buffer areas that represent the minimum setback requirements for the installation of septic systems near specific natural resources and water features for the purposes of Title 5 (310 CMR 15.00). The Title 5 Setback Areas datalayer contains polygon features representing variable width buffer zones around water features and other natural resources. These setback areas are established for the purpose of aiding in the implementation of Title 5 (310 CMR 15.00) regulations for the siting, construction, inspection, upgrade and expansion of on-site sewage treatment and disposal systems, and for the transport and disposal of sewage.
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TwitterThe City Engineering Department, Chatham County Engineering Department, and SAMSOG have developed the digital plat submittal format and data standards. The standards were developed to standardize all digital plat submissions between the City of Savannah and Chatham County and to streamline the integration of this digital information into Geographic Information Systems datasets. Complete information and requirements can be found at http://savannahga.gov/index.aspx?NID=889.Update Frequency: Edited as needed.Available for download on the SAGIS Open Data website (www.sagis.org).
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TwitterSee MassGIS for full methodology details. Data published by MassGIS in 2017. These data are still current as of 2021.
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This dataset contains spatial boundaries for the Street Building Height and Setback Plan to the City of Perth Planning Scheme No.2The Street Building Height and Setback Plan designates the height of a building at the street frontage of a lot as well as its front setback. In specific precincts of the City, reference is made to specific design policies or precinct plans.Please see https://perth.wa.gov.au/develop/planning-framework/planning-schemes and https://perth.wa.gov.au/develop/planning-framework/planning-policies-and-precinct-plans for more information regarding the City of Perth Planning Schemes.
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TwitterWaterfront Overlay sub-district setbacks as defined in COA Land Development Code (25-2-731 to 25-2-746)
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A setback is the distance between a structure and the property line or the centerline of a major roadway. The setback requirement varies depending on your zoning classification and road adjacency. When an unincorporated parcel is bounded by a road or roads that are in the jurisdiction of a city, the Land Use Department does not impose the supplementary setbacks on that parcel. The Land Use Department requests that the property owner contacts the city for the supplementary setback information for safety reasons.
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TwitterThis is a 35 foot buffer area along PDA ditches where fertilizer applications are restricted on croplands.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Map Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Agriculture/MD_NutrientManagementSetbacksFromWaterways/MapServer/5
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Sydney DCP 2012 required setbacks for new buildings from the public domain.
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TwitterThe community standards districts are established as supplemental districts to provide a means of implementing special development standards contained in adopted neighborhood, community, area, specific and local coastal plans within the UNINCORPORATED areas of Los Angeles County, or to provide a means of addressing special problems which are unique to certain geographic areas within the unincorporated areas of Los Angeles County. For detailed development standards for each CSD, please refer to the Community Standards District portion of the Los Angeles County Code (click here).LAST UPDATED: 4/9/25 for several changes related to the West San Gabriel, and Westside Area Plan updates. These updates took effect on 4/10/25.NOTE - A decision was made at the Board of Supervisor's Hearing that the CSD and Setback updates not be included. However, the GIS layers were updated with these changes and were showing on GIS-NET and Open Data between 4/9/25 and 4/14/25. On 4/14/25, these un-adopted changes were removed and the correct data now shows.NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.
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According to our latest research, the global Water Pipeline GIS market size in 2024 stands at USD 4.26 billion, with a robust compound annual growth rate (CAGR) of 10.2% projected during the period from 2025 to 2033. By 2033, the market is forecasted to reach approximately USD 10.46 billion. The primary growth factors driving this market include increasing urbanization, the pressing need for efficient water management solutions, and government initiatives to modernize aging water infrastructure worldwide.
One of the most significant growth drivers for the Water Pipeline GIS market is the global surge in urbanization and the corresponding demand for reliable and sustainable water supply systems. Urban populations are expanding rapidly, particularly in Asia Pacific and Africa, placing immense pressure on existing water pipeline networks. This has necessitated the adoption of advanced Geographic Information System (GIS) technologies to enhance the planning, monitoring, and maintenance of water pipeline infrastructure. These systems enable water utilities to map, analyze, and manage complex pipeline networks with greater accuracy, reducing operational inefficiencies and minimizing water loss. As cities strive to become smarter and more resilient, GIS-based solutions are becoming indispensable for ensuring seamless water distribution and long-term infrastructure sustainability.
Another critical factor propelling market growth is the rising incidence of water leakage and pipeline failures, which result in substantial water loss and financial setbacks for utilities. Water pipeline GIS solutions facilitate real-time monitoring, predictive maintenance, and rapid leak detection, empowering utilities to respond proactively to pipeline issues. The integration of GIS with IoT sensors, hydraulic modeling, and artificial intelligence further enhances network visibility and operational efficiency. Governments and regulatory bodies are increasingly mandating the adoption of such technologies to comply with stringent water conservation and quality standards, thereby accelerating market adoption. Furthermore, the global emphasis on environmental sustainability and resource optimization is prompting both public and private sector stakeholders to invest in advanced GIS solutions for water pipeline management.
In addition to technological advancements, the Water Pipeline GIS market is benefiting from significant investments in digital transformation across the utility sector. The proliferation of cloud computing and the growing preference for cloud-based GIS deployment models are lowering barriers to entry for smaller utilities and municipalities. Cloud-based solutions offer scalability, cost-effectiveness, and ease of integration with existing IT infrastructure, making them attractive options for organizations with limited resources. Additionally, the increasing availability of skilled GIS professionals and the development of user-friendly software interfaces are facilitating broader adoption across diverse end-user segments. These trends are expected to continue shaping the market landscape over the coming decade.
From a regional perspective, Asia Pacific is poised to emerge as the fastest-growing market for Water Pipeline GIS solutions, driven by rapid urban development, government-led smart city initiatives, and substantial infrastructure investments in countries such as China, India, and Southeast Asian nations. North America and Europe are also witnessing significant adoption, fueled by the need to upgrade aging water infrastructure and comply with regulatory mandates. In contrast, regions like Latin America and the Middle East & Africa are gradually catching up, supported by international funding and increasing awareness of the benefits of GIS in water management. This diverse regional landscape underscores the global relevance and growth potential of the Water Pipeline GIS market.
The Water Pipeline GIS market is segmen
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The Coastal Boundary layer is a 1:24,000-scale, polygon feature-based layer of the legal mylar-based maps adopted by the Commissioner of the Department of Environmental Protection (DEP) (i.e., maps were adopted on a town by town basis) showing the extent of lands and coastal waters as defined by Connecticut General Statute (C.G.S.) 22a-93(5)) within Connecticut's coastal area (defined by C.G.S. 22a-94(c)). The coastal boundary is a hybrid of the original 1:24,000 version maps prepared by DEP consistent with C.G.S. 22a-94(d) (Coastal Area) and the revised boundary mapping undertaken by twenty-two coastal towns prepared pursuant to C.G.S. 22a-94(f). This layer therefore does not replace the legal maps and may not be used for legal determinations. The Coastal Boundary layer includes a single polygon feature that represents the coastal boundary. No other features are included in this layer. Data is compiled at 1:24,000 scale. Attribute information is comprised of an Av_Legend attribute and a CoastB_Flg attribute to denote the coastal boundary. Other attributes include automatically calculated Shape_Length and Shape_Area fields. This data is not updated. Any regulated activity conducted within the coastal boundary by a municipal agency (i.e., plans of development, zoning regulations, municipal coastal programs and coastal site plan review (i.e., site plans submitted to zoning commission, subdivision or resubdivision plans submitted to planning commission, application for special permit or exception to the zoning or planning commissions or zoning board of appeals, variance submitted to zoning board of appeals and a referral of a municipal project)) must be conducted in a manner consistent with the requirements of the Connecticut Coastal Management Act (CMA; C.G.S. 22a-90 to 22a-113). As the Coastal Boundary is a hybrid of the Coastal Area, all state and federal agency activities must be consistent with the requirements of the CMA. As defined in C.G.S. 22a-94(b) the coastal boundary is a "continuous line delineated on the landward side by the interior contour elevation of the one hundred year frequency coastal flood zone, as defined and determined by the National Flood Insurance Act, as amended (USC 42 Section 4101, P.L. 93-234), or a one thousand foot linear setback measured from the mean high water mark in coastal waters, or a one thousand foot linear setback measured from the inland boundary of tidal wetlands mapped under section 22a-20, whichever is farthest inland; and shall be delineated on the seaward side by the seaward extent of the jurisdiction of the state." The original boundary maps were created in 1979 on stable mylar overlay using the 1:24,000-scale US Geological Survey topographic quadrangle maps (mylar film format). The source for tidal wetland maps were the legal 1:24,000 maps (mylar format) adopted by the Commissioner of DEP and transformed to 1:24,000 mylar-scale maps by the Office of Policy and Management (OPM) using an accurate pantograph. OPM similarly converted FEMA's flood insurance maps (various scales) to a 1:24,000 mylar overlay. The inland extent of coastal waters was plotted on 1:24,000 USGS topographic maps following the procedures and sources described in The Boundary Between Saltwater and Freshwater in Connecticut, December 1978 prepared by the State of Connecticut, Department of Environmental Protection, Coastal Area Management Program. The following twenty-two towns have adopted municipal coastal boundaries: Chester, Clinton, Darien, Deep River, East Haven, Essex, Fairfield, Greenwich, Groton, Guilford, Hamden, Ledyard, Madison, Milford, New Haven, New London, North Haven, Norwalk, Old Lyme, Old Saybrook, Stamford and Waterford. The coastal boundary maps for these towns may be at different scales than the original DEP draft maps and may contain minor adjustments to the boundary as permitted in C.G.S. 22a-94(f).
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"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"This is SCAG's 2019 Annual Land Use (ALU v. 2019.1) at the parcel-level, updated as of February 2021. This dataset has been modified to include additional attributes in order to feed SCAG's Housing Element Parcel Tool (HELPR), version 2.0. The dataset will be further reviewed and updated as additional information is released. Please refer to the tables below for data dictionary and SCAG’s land use classification.Field NameData TypeField DescriptionPID19Text2019 SCAG’s parcel unique IDAPN19Text2019 Assessor’s parcel numberCOUNTYTextCounty name (based on 2016 county boundary)COUNTY_IDDoubleCounty FIPS code (based on 2016 county boundary)CITYTextCity name (based on 2016 city boundary)CITY_IDDoubleCity FIPS code (based on 2016 city boundary)MULTIPARTShort IntegerMultipart feature (the number of multiple polygons; '1' = singlepart feature)STACKLong IntegerDuplicate geometry (the number of duplicate polygons; '0' = no duplicate polygons)ACRESDoubleParcel area (in acreage)GEOID20Text2020 Census Block Group GEOIDSLOPEShort IntegerSlope information1APN_DUPLong IntegerDuplicate APN (the number of multiple tax roll property records; '0' = no duplicate APN)IL_RATIODoubleRatio of improvement assessed value to land assessed valueLU19Text2019 existing land useLU19_SRCTextSource of 2019 existing land use2SCAGUID16Text2016 SCAG’s parcel unique IDAPNText2016 Assessor’s parcel numberCITY_GP_COText2016 Jurisdiction’s general plan land use designationSCAG_GP_COText2016 SCAG general plan land use codeSP_INDEXShort IntegerSpecific plan index ('0' = outside specific plan area; '1' = inside specific plan area)CITY_SP_COText2016 Jurisdiction’s specific plan land use designationSCAG_SP_COText2016 SCAG specific plan land use codeCITY_ZN_COText2016 Jurisdiction’s zoning codeSCAG_ZN_COText2016 SCAG zoning codeLU16Text2016 existing land useYEARLong IntegerDataset yearPUB_OWNShort IntegerPublic-owned land index ('1' = owned by public agency)PUB_NAMETextName of public agencyPUB_TYPETextType of public agency3BF_SQFTDoubleBuilding footprint area (in square feet)4BSF_NAMETextName of brownfield/superfund site5BSF_TYPETextType of brownfield/superfund site5FIREShort IntegerParcel intersects CalFire Very High Hazard Local Responsibility Areas or State Responsibility Areas (November 2020 version) (CalFIRE)SEARISE36Short IntegerParcel intersects with USGS Coastal Storm Modeling System (CoSMos)1 Meter Sea Level Rise inundation areas for Southern California (v3.0, Phase 2; 2018)SEARISE72Short IntegerParcel intersects with USGS Coastal Storm Modeling System (CoSMos)2 Meter Sea Level Rise inundation areas for Southern California (v3.0, Phase 2; 2018)FLOODShort IntegerParcel intersects with a FEMA 100 Year Flood Plain data from the Digital Flood Insurance Rate Map (DFIRM), obtained from Federal Emergency Management Agency (FEMA) in August 10, 2017EQUAKEShort IntegerParcel intersects with an Alquist-Priolo Earthquake Fault Zone (California Geological Survey; 2018)LIQUAFAShort IntegerParcel intersects with a Liquefaction Susceptibility Zone (California Geological Survey; 2016)LANDSLIDEShort IntegerParcel intersects with a Landslide Hazard Zone (California Geological Survey; 2016)CPADShort IntegerParcel intersects with a protected area from the California Protected Areas Database(CPAD) – www.calands.org (accessed April 2021)RIPARIANShort IntegerParcel centroid falls within Active River Areas(2010)or parcel intersects with a Wetland Area in the National Wetland Inventory(Version 2)WILDLIFEShort IntegerParcel intersects with wildlife habitat (US Fish & Wildlife ServiceCritical Habitat, Southern California Missing Linkages, Natural Lands & Habitat Corridors from Connect SoCal, CEHC Essential Connectivity Areas,Critical Coastal Habitats)CNDDBShort IntegerThe California Natural Diversity Database (CNDDB)includes the status and locations of rare plants and animals in California. Parcels that overlap locations of rare plants and animals in California from the California Natural Diversity Database (CNDDB)have a greater likelihood of encountering special status plants and animals on the property, potentially leading to further legal requirements to allow development (California Department of Fish and Wildlife). Data accessed in October 2020.HCPRAShort IntegerParcel intersects Natural Community & Habitat Conservation Plans Reserve Designs from the Western Riverside MHSCP, Coachella Valley MHSCP, and the Orange County Central Coastal NCCP/HCP, as accessed in October 2020WETLANDShort IntegerParcel intersects a wetland or deepwater habitat as defined by the US Fish & Wildlife Service National Wetlands Inventory, Version 2.UAZShort IntegerParcel centroid lies within a Caltrans Adjusted Urbanized AreasUNBUILT_SFDoubleDifference between parcel area and building footprint area expressed in square feet.6GRCRY_1MIShort IntegerThe number of grocery stores within a 1-mile drive7HEALTH_1MIShort IntegerThe number of healthcare facilities within a 1-mile drive7OPENSP_1MIShort IntegerQuantity of open space (roughly corresponding to city blocks’ worth) within a 1-mile drive7TCAC_2021TextThe opportunity level based on the 2021 CA HCD/TCAC opportunity scores.HQTA45Short IntegerField takes a value of 1 if parcel centroid lies within a 2045 High-Quality Transit Area (HQTA)JOB_CTRShort IntegerField takes a value of 1 if parcel centroid lies within a job centerNMAShort IntegerField takes a value of 1 if parcel centroid lies within a neighborhood mobility area.ABS_CONSTRShort IntegerField takes a value of 1 if parcel centroid lies within an absolute constraint area. See the Sustainable Communities Strategy Technical Reportfor details.VAR_CONSTRShort IntegerField takes a value of 1 if parcel centroid lies within a variable constraint area. See the Sustainable Communities Strategy Technical Reportfor details.EJAShort IntegerField takes a value of 1 if parcel centroid lies within an Environmental Justice Area. See the Environmental Justice Technical Reportfor details.SB535Short IntegerField takes a value of 1 if parcel centroid lies within an SB535 Disadvantaged Community area. See the Environmental Justice Technical Reportfor details.COCShort IntegerField takes a value of 1 if parcel centroid lies within a Community of Concern See the Environmental Justice Technical Reportfor details.STATEShort IntegerThis field is a rudimentary estimate of which parcels have adequate physical space to accommodate a typical detached Accessory Dwelling Unit (ADU)8.SBShort IntegerIndex of ADU eligibility according to the setback reduction policy scenario (from 4 to 2 feet) (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SMShort IntegerIndex of ADU eligibility according to the small ADU policy scenario (from 800 to 600 square feet ADU) (1 = ADU eligible parcel, Null = Not ADU eligible parcel)PKShort IntegerIndex of ADU eligibility according to parking space exemption (200 square feet) policy scenario (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SB_SMShort IntegerIndex of ADU eligibility according to both the setback reduction and small ADU policy scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SB_PKShort IntegerIndex of ADU eligibility according to both the setback reduction and parking space exemption scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SM_PKShort IntegerIndex of ADU eligibility according to both the small ADU policy and parking space exemption scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SB_SM_PKShort IntegerIndex of ADU eligibility according to the setback reduction, small ADU, and parking space exemption scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)1. Slope: '0' - 0~4 percent; '5' - 5~9 percent; '10' - 10~14 percent; '15' = 15~19 percent; '20' - 20~24 percent; '25' = 25 percent or greater.2. Source of 2019 existing land use: SCAG_REF- SCAG's regional geospatial datasets;ASSESSOR- Assessor's 2019 tax roll records; CPAD- California Protected Areas Database (version 2020a; accessed in September 2020); CSCD- California School Campus Database (version 2018; accessed in September 2020); FMMP- Farmland Mapping and Monitoring Program's Important Farmland GIS data (accessed in September 2020); MIRTA- U.S. Department of Defense's Military Installations, Ranges, and Training Areas GIS data (accessed in September 2020)3. Type of public agency includes federal, state, county, city, special district, school district, college/university, military.4. Based on 2019 building footprint data obtained from BuildingFootprintUSA (except that 2014 building footprint data was used for Imperial County). Please note that 2019 building footprint data does not cover the entire SCAG region (overlapped with 83% of parcels in the SCAG Region).5. Includes brownfield/superfund site whose address information are matched by SCAG rooftop address locator. Brownfield data was obtained from EPA's Assessment, Cleanup and Redevelopment Exchange System (ACRES) database, Cleanups in my community (CIMC), DTSC brownfield Memorandum of Agreement (MOA). Superfund site data was obtained from EPA's Superfund Enterprise Management System (SEMS) database.6. Parcels with a zero value for building footprint area are marked as NULL to indicate this field is not reliable.7. These values are intended as a rudimentary indicator of accessibility developed by SCAG using 2016 InfoUSA business establishment data and 2017 California Protected Areas data. See documentation for details.8. A detailed study conducted by Cal Poly Pomona (CPP) and available hereconducted an extensive review of state and local requirements and development trends for ADUs in the SCAG region and developed a baseline set of assumptions for estimating how many of a jurisdiction’s parcels
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TwitterThis layer is extracted from The High Resolution National Hydrography Dataset Plus (NHDPlus HR). This is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Map Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Agriculture/MD_NutrientManagementSetbacksFromWaterways/MapServer/0
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TwitterThe Community Standards Districts (CSDs) are established as supplemental districts to provide a means of implementing special development standards contained in adopted neighborhood, community, area, specific and local coastal plans within the UNINCORPORATED areas of Los Angeles County, or to provide a means of addressing special problems which are unique to certain geographic areas within the UNINCORPORATED areas of Los Angeles County. For detailed development standards for each CSD, please refer to the Community Standards District portion of the Los Angeles County Code (click here).LAST UPDATED: 4/9/25 for several changes related to the West San Gabriel Area Plan update. These updates took effect on 4/10/25. NOTE - A decision was made at the Board of Supervisor's Hearing that the CSD and Setback updates not be included. However, the GIS layers were updated with these changes and were showing on GIS-NET and Open Data between 4/9/25 and 4/14/25. On 4/14/25, these un-adopted changes were removed and the correct data now shows.NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.
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TwitterSydney Development Control Plan 2012 GIS data.
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TwitterExpand Floodplains and Riparian Habitats in Levee Projects – ER P4 (CCR, tit. 23, § 5008). More on this: Cal. Code Regs., tit. 23, § 5008. Data is subject to change and provided for visual illustration only. Please view use limitations for additional disclaimers.
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TwitterLand use for the following watersheds: Chilmark Pond - Upper & Lower, James Pond, Menemsha Pond, Squibnocket Pond, and Tisbury Great Pond.Land use is based on assessor's use code (the first code that joins from the M*_Assess table to the M*_TaxPar feature class). The use codes have been generalized based on the methodology used in earlier Mass Estuaries Reports (MEP). West Tisbury data is FY21, Chilmark data is FY20, Aquinnah data is FY19. These are the latest parcel datasets available from MassGIS data portal as of 4/2021.Existing building count is based on MassGIS Structures having a roof square footage > 400. Future potential building count was modeled using CommunityViz software based on the most recent parcel bounds (year varies by Town; range is FY19 to FY21), minimum parcel size & road setback per town zoning (as compiled by the MVC in 2008), and existing buildings (MassGIS roof area > 400sq ft). No areas were prohibited from future development. Post-modeling, the MVC eliminated future buildings that overlapped with current open space/conservation land (per MVC & Island Conservation Partnership 4/2021).Major watershed boundaries are those created through the MEP modeling process (SMAST & MVC 2014).
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TwitterThere are two basic types of zoning districts: conventional zoning districts and planned development districts. The general purpose of both types of zoning districts is to implement the goals, objectives, and policies of the Lee Plan, as well as to provide protection to the public health, safety and welfare through the regulation of land use.Conventional zoning districts are districts within which land use is controlled through the regulation of the height and bulk of buildings and structures, the minimum area and dimensions of lots, the percentage of lot coverage, minimum open space and yard areas, through the use of setback requirements, the density of population, and the type and intensity of use of the land and buildings. Use and development regulations for the conventional districts are provided in Chapter 34 of the Land Development Code. Planned Development zoning is required for larger projects, known as Developments of County Impact. Other proposed developments, regardless of size, may seek a planned development designation where the developer desires and the Division Director determines that it is in the public interest to do so. The Lee Plan provides that certain owner-initiated rezoning and special exceptions meeting specific thresholds will be reviewed as Developments of County Impact. The Development of County Impact thresholds are further categorized as major and minor planned developments. Planned development zoning districts allow greater flexibility in design but may have conditions attached during the approval process. Use and development regulations for planned development districts are provided in Chapters 12, 32 and 34 of the Land Development Code.See https://www.leegov.com/dcd/zoning for more information.
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Geospatial data about Gas network setback (PartOp). Export to CAD, GIS, PDF, CSV and access via API.
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TwitterThe regulations of the Laurelhurst/Eastmoreland plan district enforce the special setback requirements of Ordinances 70343 and 70341. This plan district maintains the established character of the Laurelhurst and Eastmoreland areas, characterized by homes with larger than normal building setbacks from the street. https://www.portlandoregon.gov/bps/article/53375-- Additional Information: Category: Zoning Code Purpose: For mapping the areas with special setbacks. Setback distance is defined by the annotation layer. Update Frequency: As Needed-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=53429