The DC Office of Zoning (OZ) proudly announces an expansion of its online mapping services with the release of the DCOZ 3D Zoning Map. This new mapping application builds off existing DC Open Datasets and new OZ Zoning data to visualize the District in 3D, providing greater context for proposed development projects and helping enhance Board of Zoning Adjustment and Zoning Commission decisions throughout the District. The 3D Zoning Map was developed to enhance District resident’s understanding, knowledge, and participation in Zoning matters, and help increase transparency in the Zoning process.

The full City Plan Version 8 map is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit www.goldcoast.qld.gov.au/planning-and-building

This statistic shows the results of a survey on the usage of the internet for route planning, maps and road maps (e.g. Google Maps) in Germany from 2013 to 2016. In 2016, there were about ***** million people among the German-speaking population aged 14 years and older, who frequently used the internet to plan routes or to access maps and road maps.

The National Zoning Atlas is a collaborative project digitizing, demystifying, & democratizing ~30,000 U.S. zoning codes. It was founded by Cornell University professor Sara Bronin and has involved over 300 zoning and geospatial analysts. WHAT: Zoning laws, adopted by perhaps 30,000 local governments across the country, dictate much of what can be built in the United States. The National Zoning Atlas is helping us better understand these sometimes-opaque but incredibly influential laws by depicting their key attributes in an online, user-friendly map. As a federated academic enterprise, the National Zoning Atlas encompasses several disciplines. It is a legal research project, as it delves deeply into the regulatory frameworks that dictate so much of the way we use our land. It is a data science project, and it deploys novel systems of collecting, analyzing, and displaying geospatial and regulatory data. It is a digital humanities project, innovative in its methodology and having the potential to unlock new research on the central instrument that shapes our urban built environment, social relations and hierarchies, and geographies of opportunity. It is a social science project that will improve our understanding of our politics, society, and economy - and expand our collective ability to reimagine future, alternative, and reparative trajectories. And it is a computer science project, deploying machine learning and natural language processing to expand our understanding of how algorithms can read complex regulatory texts. WHY: Zoning laws have direct impacts on housing availability, transportation systems, the environment, economic opportunity, educational opportunity, and our food supply. Despite codes’ importance, ordinary people can’t make heads or tails of them. They are too complex and inscrutable. The National Zoning Atlas will help people better understand zoning, which would in turn broaden participation in land use decisions, identify opportunities for zoning reform, and narrow a wide information gap that currently favors land speculators, institutional investors, and homeowners over socioeconomically disadvantaged groups. It would also enable comparisons across jurisdictions, illuminate regional and statewide trends, and strengthen national planning for housing production, transportation infrastructure, and climate response. To understand the kinds of things a zoning atlas can show, review this research paper documenting the findings of the Connecticut Zoning Atlas (the first statewide atlas) and this research paper in HUD Cityscape describing the motivations of the project. HOW: To date, this project has relied on manual reviews of thousands of pages of zoning code texts and their corresponding maps. A how-to guide for these reviews is available for free download. The project is also using grant funding from the National Science Foundation and the U.S. Department of Housing and Community Development Community Block Grant Disaster Recovery Program to automate this process so we can more quickly map the 30,000 localities estimated to use zoning. Our basic operating principles are: Deploy data for the public good ​Evaluate and adapt methods and approaches ​Collaborate broadly ​Cultivate up-and-coming talent ​Assume that this is a solvable problem, worth solving ​WHO: Project participants overwhelmingly include representatives of academic institutions, nonprofits, and government agencies, with students providing important support. In addition, private partners may participate on specific geographic teams or provide data. Because this project aims to expand knowledge for the public good, its resulting online atlases will remain free to view regardless of who pitches in to create them.

Land Use Zoning Districts in San Jose, CA.

Land located within the Eugene Urban Growth Area is zoned to provide areas suitable for certain types of development. Each zone provides a set of regulations governing the uses, building setbacks, height, and other development standards. Property may also be subject to an overlay zone. The overlay establishes additional regulations beyond the base zone to address specific community objectives, such as protection of environmentally sensitive areas or improving the efficient use of public transit. In some cases, overlays may provide an exception to the standard regulations for the base zone.Base Zones: Land located within the Eugene Urban Growth Boundary is zoned to provide areas suitable for certain types of development. Each base zone provides a set of regulations governing the uses, building setbacks, building height and other development features.Overlay Zones: Property may also be subject to one or more overlay zones. Overlay zones establish additional regulations beyond the base zone to address specific community objectives, such as protection of environmentally sensitive areas or improving the efficient use of public transit.Special Area Zones: A special area zone is a type of base zone that is applied to a specific area of the city that possesses distinctive buildings or natural features that have special significance for the community and requires special consideration or implementation of conservation and development measures that can not be achieved through application of the standard base zones.Special Area Zone Subareas: Some special area zones are further divided into subareas, such as commercial or single-family residential. These subareas establish regulations that govern the uses and development of these specific areas.Read more about the Zoning Map.

The Metropolitan Planning Organizations (MPO) dataset was compiled on July 07, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset contains the geographic boundaries of Metropolitan Planning Organizations. It provides users with transportation planning locations, sizes and names and is intended for metropolitan area multimodal transportation planning and programming. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529038

This dataset contains the merged Planning Registers of participating Irish Local Authorities and includes all Planning Applications received since 2012.

The Mitigation Planning Portal (MPP) is an online platform for tracking and reporting mitigation plans and related data elements across all ten Federal Emergency Management Agency (FEMA) Regions. rnrnDataset is used to identify mitigation plans across states and regions.rnrnDatapoints include links to mitigation plans for each state (a separate excel file of state links is held on local drive).

The Countywide Plan Map designates general categories of land use, including transit‐supportive categories, by type and location to guide the future development pattern and use of land throughout Pinellas County, as adopted by the Pinellas Planning Council and Countywide Planning Authority as part of the Countywide Plan, pursuant to Chapter 2012‐245, Laws of Florida, as amended.”NOTE: This item has been deprecated and will no longer be accessible after December 31st, 2025. Please use the following ArcGIS Online item as it’s replacement:Pinellas_Countywide_Plan_Map_Categories https://pinellas-egis.maps.arcgis.com/home/item.html?id=c4679b6609234442bbefc3b667725809

This dataset is a series of digital map-posters accompanying the AdaptNRM Guide: Helping Biodiversity Adapt: supporting climate adaptation planning using a community-level modelling approach.

These represent supporting materials and information about the community-level biodiversity models applied to climate change. Map posters are organised by four biological groups (vascular plants, mammals, reptiles and amphibians), two climate change scenario (1990-2050 MIROC5 and CanESM2 for RCP8.5), and five measures of change in biodiversity.

The map-posters present the nationally consistent data at locally relevant resolutions in eight parts – representing broad groupings of NRM regions based on the cluster boundaries used for climate adaptation planning (http://www.environment.gov.au/climate-change/adaptation) and also Nationally.

Map-posters are provided in PNG image format at moderate resolution (300dpi) to suit A0 printing. The posters were designed to meet A0 print size and digital viewing resolution of map detail. An additional set in PDF image format has been created for ease of download for initial exploration and printing on A3 paper. Some text elements and map features may be fuzzy at this resolution.

Each map-poster contains four dataset images coloured using standard legends encompassing the potential range of the measure, even if that range is not represented in the dataset itself or across the map extent.

Most map series are provided in two parts: part 1 shows the two climate scenarios for vascular plants and mammals and part 2 shows reptiles and amphibians. Eight cluster maps for each series have a different colour theme and map extent. A national series is also provided. Annotation briefly outlines the topics presented in the Guide so that each poster stands alone for quick reference.

An additional 77 National maps presenting the probability distributions of each of 77 vegetation types – NVIS 4.1 major vegetation subgroups (NVIS subgroups) - are currently in preparation.

Example citations:

Williams KJ, Raisbeck-Brown N, Prober S, Harwood T (2015) Generalised projected distribution of vegetation types – NVIS 4.1 major vegetation subgroups (1990 and 2050), A0 map-poster 8.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

Williams KJ, Raisbeck-Brown N, Harwood T, Prober S (2015) Revegetation benefit (cleared natural areas) for vascular plants and mammals (1990-2050), A0 map-poster 9.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

This dataset has been delivered incrementally. Please check that you are accessing the latest version of the dataset. Lineage: The map posters show case the scientific data. The data layers have been developed at approximately 250m resolution (9 second) across the Australian continent to incorporate the interaction between climate and topography, and are best viewed using a geographic information system (GIS). Each data layers is 1Gb, and inaccessible to non-GIS users. The map posters provide easy access to the scientific data, enabling the outputs to be viewed at high resolution with geographical context information provided.

Maps were generated using layout and drawing tools in ArcGIS 10.2.2

A check list of map posters and datasets is provided with the collection.

Map Series: 7.(1-77) National probability distribution of vegetation type – NVIS 4.1 major vegetation subgroup pre-1750 #0x

8.1 Generalised projected distribution of vegetation types (NVIS subgroups) (1990 and 2050)

9.1 Revegetation benefit (cleared natural areas) for plants and mammals (1990-2050)

9.2 Revegetation benefit (cleared natural areas) for reptiles and amphibians (1990-2050)

10.1 Need for assisted dispersal for vascular plants and mammals (1990-2050)

10.2 Need for assisted dispersal for reptiles and amphibians (1990-2050)

11.1 Refugial potential for vascular plants and mammals (1990-2050)

11.1 Refugial potential for reptiles and amphibians (1990-2050)

12.1 Climate-driven future revegetation benefit for vascular plants and mammals (1990-2050)

12.2 Climate-driven future revegetation benefit for vascular reptiles and amphibians (1990-2050)

This application is intended to aid town staff with limited Map Viewer experience who desire to print a basic map utilizing project data within the planning area. The options available are very limited, if you desire a more sophisticated map or the ability to change the symbology of features, please use the Map Viewer to create and print your map. First, choose the data layers you would like to add to the map, layers can be from the Outer Cape Data Portal, ArcGIS Online or local files stored on your computer. Next, select the basemap of your choice. Then, adjust the transparency of overlapping layers and add additional graphic elements (markers, coordinates, distance measurements, shapes). Finally, print your map.

Purpose: Displays Geographic area of planning areas govern by the Downtown Master Plan and part of the DMP Zoning Atlas.Intended Use: All downtown development is subject to the provisions of the Downtown Master Plan (DMP) and urban code to ensure that all new buildings contribute to the urban life of the city. The intent of the DMP urban regulations is to create a sustainable downtown with an enhanced quality of life by creating a zoning code which is reflective of the downtown's 13 districts and their different characteristics. These urban regulations enable flexible building design by encouraging a variety of uses, heights, and forms. The urban regulations describe maximum development allowances. Department: Development Services / Urban Design DivisionData Source: Layer referenced is located within the Planning datasetHow was the data derived: From existing maps with the direction of the Urban Design Division when the code of ordinances established the Comprehensive Master Plan and the Chapter 94 - Zoning and Planning development Regulations, Article IV - Downtown Master Plan Urban Regulations.How was the data modified: Static layer except when directed by the Urban Design Division when amending the code of ordinances at Chapter 94 - Zoning and Planning Development Regulations, Article IV - Downtown Master Plan Urban Regulations and/or the Comprehensive Master Plan.Update Frequency: As needed when amendments occur and directed by the Urban Design Division.03/17/23: The latest updates resulted from ordinance 4984-21 of the Comprehensive Master Plan and ordinance 4985-21 of the Chapter 94 - Zoning and Planning development Regulations, Article IV - Downtown Master Plan Urban Regulations.Notes: View the Zoning and development Code https://online.encodeplus.com/regs/westpalmbeach-fl/doc-viewer.aspx#secid-280

The Development Plan Map Index is used to determine which map to refer to in South Australian Development Plans. Link: http://www.sa.gov.au/topics/housing-property-and-land/local-government/development-plans/online-development-plans. Every council in South Australia has a Development Plan that specifies the type of development that can occur in that council area.

Please note that this dataset is not an official City of Toronto land use dataset. It was created for personal and academic use using City of Toronto Land Use Maps (2019) found on the City of Toronto Official Plan website at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/official-plan-maps-copy, along with the City of Toronto parcel fabric (Property Boundaries) found at https://open.toronto.ca/dataset/property-boundaries/ and Statistics Canada Census Dissemination Blocks level boundary files (2016). The property boundaries used were dated November 11, 2021. Further detail about the City of Toronto's Official Plan, consolidation of the information presented in its online form, and considerations for its interpretation can be found at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/ Data Creation Documentation and Procedures Software Used The spatial vector data were created using ArcGIS Pro 2.9.0 in December 2021. PDF File Conversions Using Adobe Acrobat Pro DC software, the following downloaded PDF map images were converted to TIF format. 9028-cp-official-plan-Map-14_LandUse_AODA.pdf 9042-cp-official-plan-Map-22_LandUse_AODA.pdf 9070-cp-official-plan-Map-20_LandUse_AODA.pdf 908a-cp-official-plan-Map-13_LandUse_AODA.pdf 978e-cp-official-plan-Map-17_LandUse_AODA.pdf 97cc-cp-official-plan-Map-15_LandUse_AODA.pdf 97d4-cp-official-plan-Map-23_LandUse_AODA.pdf 97f2-cp-official-plan-Map-19_LandUse_AODA.pdf 97fe-cp-official-plan-Map-18_LandUse_AODA.pdf 9811-cp-official-plan-Map-16_LandUse_AODA.pdf 982d-cp-official-plan-Map-21_LandUse_AODA.pdf Georeferencing and Reprojecting Data Files The original projection of the PDF maps is unknown but were most likely published using MTM Zone 10 EPSG 2019 as per many of the City of Toronto's many datasets. They could also have possibly been published in UTM Zone 17 EPSG 26917 The TIF images were georeferenced in ArcGIS Pro using this projection with very good results. The images were matched against the City of Toronto's Centreline dataset found here The resulting TIF files and their supporting spatial files include: TOLandUseMap13.tfwx TOLandUseMap13.tif TOLandUseMap13.tif.aux.xml TOLandUseMap13.tif.ovr TOLandUseMap14.tfwx TOLandUseMap14.tif TOLandUseMap14.tif.aux.xml TOLandUseMap14.tif.ovr TOLandUseMap15.tfwx TOLandUseMap15.tif TOLandUseMap15.tif.aux.xml TOLandUseMap15.tif.ovr TOLandUseMap16.tfwx TOLandUseMap16.tif TOLandUseMap16.tif.aux.xml TOLandUseMap16.tif.ovr TOLandUseMap17.tfwx TOLandUseMap17.tif TOLandUseMap17.tif.aux.xml TOLandUseMap17.tif.ovr TOLandUseMap18.tfwx TOLandUseMap18.tif TOLandUseMap18.tif.aux.xml TOLandUseMap18.tif.ovr TOLandUseMap19.tif TOLandUseMap19.tif.aux.xml TOLandUseMap19.tif.ovr TOLandUseMap20.tfwx TOLandUseMap20.tif TOLandUseMap20.tif.aux.xml TOLandUseMap20.tif.ovr TOLandUseMap21.tfwx TOLandUseMap21.tif TOLandUseMap21.tif.aux.xml TOLandUseMap21.tif.ovr TOLandUseMap22.tfwx TOLandUseMap22.tif TOLandUseMap22.tif.aux.xml TOLandUseMap22.tif.ovr TOLandUseMap23.tfwx TOLandUseMap23.tif TOLandUseMap23.tif.aux.xml TOLandUseMap23.tif.ov Ground control points were saved for all georeferenced images. The files are the following: map13.txt map14.txt map15.txt map16.txt map17.txt map18.txt map19.txt map21.txt map22.txt map23.txt The City of Toronto's Property Boundaries shapefile, "property_bnds_gcc_wgs84.zip" were unzipped and also reprojected to EPSG 26917 (UTM Zone 17) into a new shapefile, "Property_Boundaries_UTM.shp" Mosaicing Images Once georeferenced, all images were then mosaiced into one image file, "LandUseMosaic20211220v01", within the project-generated Geodatabase, "Landuse.gdb" and exported TIF, "LandUseMosaic20211220.tif" Reclassifying Images Because the original images were of low quality and the conversion to TIF made the image colours even more inconsistent, a method was required to reclassify the images so that different land use classes could be identified. Using Deep learning Objects, the images were re-classified into useful consistent colours. Deep Learning Objects and Training The resulting mosaic was then prepared for reclassification using the Label Objects for Deep Learning tool in ArcGIS Pro. A training sample, "LandUseTrainingSamples20211220", was created in the geodatabase for all land use types as follows: Neighbourhoods Insitutional Natural Areas Core Employment Areas Mixed Use Areas Apartment Neighbourhoods Parks Roads Utility Corridors Other Open Spaces General Employment Areas Regeneration Areas Lettering (not a land use type, but an image colour (black), used to label streets). By identifying the letters, it then made the reclassification and vectorization results easier to clean up of unnecessary clutter caused by the labels of streets. Reclassification Once the training samples were created and saved, the raster was then reclassified using the Image Classification Wizard tool in ArcGIS Pro, using the Support...

The zoning layer lookup aids the online zoning map to show zoning information by address and consolidates other important information such as Ward, ANC, SMD, Historic Districts, etc. in one reference dataset. The PREMISEADD field lists the address that is identified as the lot’s primary address for tax purposes. ADDRESS_OTHER contains a list of all other addresses on the lot, if any. Addresses may exist in a many-to-one relationship with property lots. ZONING is the primary field for zoning designation. ZONING_LABEL contains the zoning as well as any applicable IZ+ designation.

COMPLETED 2010. The data was converted from the most recent (2010) versions of the adopted plans, which can be found at https://cms3.tucsonaz.gov/planning/plans/ Supplemental Information: In March 2010, Pima Association of Governments (PAG), in cooperation with the City of Tucson (City), initiated the Planned Land Use Data Conversion Project. This 9-month effort involved evaluating mapped land use designations and selected spatially explicit policies for nearly 50 of the City's adopted neighborhood, area, and subregional plans and converting the information into a Geographic Information System (GIS) format. Further documentation for this file can be obtained from the City of Tucson Planning and Development Services Department or Pima Association of Governments Technical Services. A brief summary report was provided, as requested, to the City of Tucson which highlights some of the key issues found during the conversion process (e.g., lack of mapping and terminology consistency among plans). The feature class "Plan_boundaries" represents the boundaries of the adopted plans. The feature class "Plan_mapped_land_use" represents the land use designations as they are mapped in the adopted plans. Some information was gathered that is implicit based on the land use designation or zones (see field descriptions below). Since this information is not explicitly stated in the plans, it should only be viewed by City staff for general planning purposes. The feature class "Plan_selected_policies" represents the spatially explicit policies that were fairly straightforward to map. Since these policies are not represented in adopted maps, this feature class should only be viewed by City staff for general planning purposes only. 2010 - created by Jamison Brown, working as an independent contractor for Pima Association of Governments, created this file in 2010 by digitizing boundaries as depicted (i.e. for the mapped land use) or described in the plans (i.e. for the narrative policies). In most cases, this involved tracing based on parcel (paregion) or street center line (stnetall) feature classes. Snapping was used to provide line coincidence. For some map conversions, freehand sketches were drawn to mimick the freehand sketches in the adopted plan. Field descriptions Field descriptions for the "Plan_boundaries" feature class: Plan_Name: Plan name Plan_Type: Plan type (e.g., Neighborhood Plan) Plan_Num: Plan number ADOPT_DATE: Date of Plan adoption IMPORTANT: A disclaimer about the data as it is unofficial. URL: Uniform Resource Locator Field descriptions for the "Plan_mapped_land_use" feature class: Plan_Name: Plan name Plan_Type: Plan type (e.g., Neighborhood Plan) Plan_Num: Plan number LU_DES: Land use designation (e.g., Low density residential) LISTED_ALLOWABLE_ZONES: Allowable zones as listed in the Plan LISTED_RAC_MIN: Minimum residences per acre (if applicable), as listed in the Plan LISTED_RAC_TARGET: Target residences per acre (if applicable), as listed in the Plan LISTED_RAC_MAX: Maximum residences per acre (if applicable), as listed in the Plan LISTED_FAR_MIN: Minimum Floor Area Ratio (if applicable), as listed in the Plan LISTED_FAR_TARGET: Target Floor Area Ratio (if applicable), as listed in the Plan LISTED_FAR_MAX: Maximum Floor Area Ratio (if applicable), as listed in the Plan BUILDING_HEIGHT_MAX Building height maximum (ft.) if determined by Plan policy IMPORTANT: A disclaimer about the data as it is unofficial. URL: Uniform Resource Locator IMPLIED_ALLOWABLE_ZONES: Implied (not listed in the Plan) allowable zones IMPLIED_RAC_MIN: Implied (not listed in the Plan) minimum residences per acre (if applicable) IMPLIED_RAC_TARGET: Implied (not listed in the Plan) target residences per acre (if applicable) IMPLIED_RAC_MAX: Implied (not listed in the Plan) maximum residences per acre (if applicable) IMPLIED_FAR_MIN: Implied (not listed in the Plan) minimum Floor Area Ratio (if applicable) IMPLIED_FAR_TARGET: Implied (not listed in the Plan) target Floor Area Ratio (if applicable) IMPLIED_FAR_MAX: Implied (not listed in the Plan) maximum Floor Area Ratio (if applicable) IMPLIED_LU_CATEGORY: Implied (not listed in the Plan) general land use category. General categories used include residential, office, commercial, industrial, and other.PurposeLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Dataset ClassificationLevel 0 - OpenKnown UsesThis layer is intended to be used in the City of Tucson's Open Data portal and not for regular use in ArcGIS Online, ArcGIS Enterprise or other web applications.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactJohn BeallCity of Tucson Development Services520-791-5550John.Beall@tucsonaz.govUpdate FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

For planning purposes only. The overlay zoning districts within West Tisbury MA and Parcel Boundaries. These data are not survey-grade. Each overlay zoning district is presented as its own data layer - so you can turn on or off each district to have more or less clutter on the map. Please see the Town's zoning bylaws for all regulations.See the data layer's attribute table for a brief explanation of how that layer was compiled by the Martha's Vineyard Commission. The parcel bounds were created by CAI Tech. per MassGIS Level 3 parcel data standard. Parcels are fed into the map from the MassGIS ArcGIS OnLine cloud. They update the hosted parcel data typically once a year. See the FY attribute field for the respective year - last updated.

Polygons represent the Regional Transportation Planning Organizations (RTPOs) planning area boundaries, Metropolitan Planning Organizations (MPO's) Metropolitan Planning Area (MPA) boundaries, and MPO MPAs that are designated as Transportation Management Areas (TMA's). MPOs are responsible for transportation planning within the MPA. RTPOs are responsible for growth management compliance within their planning areas and the development and adoption of regional transportation plans.

Routable Digital Maps represent a recent advancement driven by the growth of Intelligent Transportation System applications. Efforts have been made to develop and utilize maps within computer systems that can autonomously identify optimal routes. Typically, online map visualizations lack essential information such as traffic patterns, construction zones, or lane counts, which are crucial for designing accurate and realistic routes. This research introduces a route planning method that aggregates and reuses various data points to establish a robust framework for developing new routing plans. The primary goal is to analyze the collected data and create a framework for estimating a geometrically smooth centerline of a road map route. This method involves generating a series of parallel curves, known as offset curves, to facilitate the creation of new routes and alternative lanes. The following examples illustrate some empirical results obtained from this approach.