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.
https://data.gov.tw/licensehttps://data.gov.tw/license
The non-urban land use zoning map of the 18 directly-administered cities and counties (cities) of New Taipei City and others
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Information about 488 zoning jurisdictions in North Carolina collected by civic technology volunteers at Code for the Carolinas as a contribution to the National Zoning Atlas. Information for Guilford County and Charlotte and Triangle metro areas not included in this dataset. Data collected following the standard in this document:Bronin, Sara C. and Markley, Scott and Fader, Aline and Derickson, Evan, How to Make a Zoning Atlas 2.0: The Official Methodology of the National Zoning Atlas (June 13, 2023). Available at SSRN: https://ssrn.com/abstract=4476927 or http://dx.doi.org/10.2139/ssrn.4476927
About the BZA - The Board of Zoning Adjustment (BZA) is an independent, quasi-judicial body. It is empowered to grant relief from the strict application of the Zoning Regulations (variances), approve certain uses of land (special exceptions), and hear appeals of actions taken by the Zoning Administrator at DCRA. The Board's five members consist of three Mayoral appointees, a rotating member of the District of Columbia Zoning Commission, and a designated representative of the National Capital Planning Commission. In cases where the Board is performing functions regarding Foreign Mission and Chancery applications, the composition of the Board shall consist of the three Mayoral appointees, the Director of the U.S. National Park Service or his designee, and the Executive Director of the National Capital Planning Commission. About the ZC - The Zoning Commission (ZC) is an independent, quasi-judicial body. Created by the Zoning Act of 1920, as amended, the ZC is charged with preparing, adopting, and subsequently amending the Zoning Regulations and Zoning Map in a means not inconsistent with the Comprehensive Plan for the National Capital area. Three members of the ZC are residents of the District of Columbia appointed by the Mayor and confirmed by the Council. The fourth member of the ZC is the Architect of the Capitol (or his/her representative). The fifth ZC member is the Director of the National Park Service (or his/her representative).
This web map displays discrete tidal zoning generated by the National Ocean Service (NOS) Center for Operational Oceanographic Products and Services (CO-OPS). Zoned tides, relative to a tidal datum, can be constructed by applying time and range correctors to observed water level data from a NOAA tide station. These correctors and the recommended tide stations are contained within discrete tide zones. Each zone was constructed with an ideal uncertainty of less than 0.45m at 95% Confidence Interval.Content: Discrete Tide Zones: Discrete tide zones delineate geographic areas of similar tidal characteristics. For each discrete zone, a tide curve can be constructed by applying a time (AvgTimeCorr) and range (RangeRatio) corrector to the observed water level data for the zone's assigned control water level station. Zones are grouped by geographic region. Table attributes contain tidal information for each zone:ControlStn: Operating water level station referenced by the zone AvgTimeCorr: Average of high and low tide time corrections in 6 minute intervalsRangeRatio: Range ratio (multiplier used to scale the tidal value read for the observation file)ControlStn2 (where available): Alternate operating water level station referenced by the zoneAvgTimeCorr2 (where available): Alternate average of high and low tide time corrections in 6 minute intervalsRangeRatio2 (where available): Alternate range ratio (multiplier used to scale the tidal value read for the observation file)NOAA CO-OPS Active Water Level Stations (REST service on the NOAA IDP): Layer represents the geographic locations at which water level observations are presently being collected. "Water level" is defined as the height of the water surface relative to a specific datum (base elevation). Most stations with water level observations provide readings every 6 minutes. CO-OPS measures water levels at over 200 tidal and non-tidal stations along the coast of the United States and its territories and around the Great Lakes. "Tide" is defined as the periodic rise and fall of a body of water resulting from gravitational interactions between Sun, Moon, and Earth. The time series on the CO-OPS website that are associated with these point locations contain both verified and unverified data. Unverified, or raw, data have not been subjected to the National Ocean Service's quality control or quality assurance procedures and do not meet the criteria and standards of official National Ocean Service data. They are released for limited public use as preliminary data to be used only with appropriate caution. More information can be found at https://tidesandcurrents.noaa.gov/stations.html?type=Water+Levels.NOAA CO-OPS Historic/Active Water Level Stations (REST service on the NOAA IDP): Layer represents any geographic location at which tidal (water level) observations have been collected and verified, including stations presently collecting observations. "Tide" is defined as the periodic rise and fall of a body of water resulting from gravitational interactions between Sun, Moon, and Earth. "Water level" is defined as the height of the water surface relative to a specific datum (reference elevation). Most stations with water level observations provide readings every 6 minutes. CO-OPS measures water levels at over 200 stations along the coast of the United States and its territories and around the Great Lakes. More information can be found at https://tidesandcurrents.noaa.gov/stations.html?type=Historic+Water+LevelsPlease download data using the following method:To export data, click on one of the “CO-OPS Regional Zoning” layers below to be taken to the hosted Feature Layer page. Here you can export the layer of your choice to Shapefile, CSV, FGDB, GeoJSON or Feature Collection by clicking on the "Export To" drop-down menu.Note: Please be aware that you must create a free ArcGIS Online account before you can download the data.Tide Zone Water Level Correction for Hydrographic Data: To create a tide zone correction file for use with hydrographic processing software you will need the following information from the shapefiles contained in this map:Name (OBJECTID) and number of vertices for each zone that overlaps your area of coverageCoordinates of all vertices within each tide zone polygonReference/Control tide station (ControlStn or ControlStn2) for each zoneAverage tide time corrector (AvgTimeCorr or AvgTimeCorr2) and tide zone range ratio (RangeRatio or RangeRatio2)Reference/Control tide station name and coordinatesSix minute preliminary and verified water level data may be retrieved in one month increments over the internet from the CO-OPS web services at https://opendap.co-ops.nos.noaa.gov/axis/ by clicking on “Six Minute Data”.More Resources: https://tidesandcurrents.noaa.gov/hydro.html
West Bridgewater's complete zoning by-laws can be found here.General Residential and Farming District: The purpose of the General Residential and Farming District is to provide suitable areas devoted to residential uses and agricultural pursuits.Business District: The purpose of the Business District is to provide areas for the conduct of business activities.Industrial District: The purpose of the Industrial District is to provide areas for industry, research and office and industrial parksTown Center District: The purposes of the Town Center District are to create a traditional town center-like setting in West Bridgewater’s Central Square that has the potential to become more pedestrian-oriented. The District shall primarily include commercial uses providing local goods and services rather than regional goods and services. Buildings shall be of proportionately small scale commensurate with the provision of local goods and services to reinforce the town center setting. Housing is also encouraged in this district on upper floors above ground floor commercial stores along the street frontage.Water Resource Protection District: The purposes of the Water Resource Protection District as an overlay district to all other zoning districts are to protect the public health of the residents of the Town from contamination of existing and potential public groundwater supplies and to protect, preserve and maintain the aquifers and recharge areas of existing and potential groundwater supplies within the Town as sources of public water. FEMA National Flood Hazard Areas (NFHL): This layer is a compilation of effective Flood Insurance Rate Map (FIRM) databases and any Letters of Map Revision (LOMR) that have been issued against those databases since their publication date. The NFHL is updated as new data reaches its designated effective date and becomes valid for regulatory use under the National Flood Insurance Program (NFIP). Users may also visit: FEMA Flood Map Service Center
https://data.gov.tw/licensehttps://data.gov.tw/license
Yushan National Park (third comprehensive review) plan zoning map 1
Map of the Lithuanian National Atlas - “Biogeographic zoning”. Author: P. Kavaliauskas. Cartographer: V. Krikščiūnienė. The map belongs to the National Atlas section - "Nature and Landscape", the theme - "Biota"
https://data.gov.tw/licensehttps://data.gov.tw/license
Snow Mountain National Park Land Use Zoning Map (Second Comprehensive Review).
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The USGS Governmental Unit Boundaries dataset from The National Map (TNM) represents major civil areas for the Nation, including States or Territories, counties (or equivalents), Federal and Native American areas, congressional districts, minor civil divisions, incorporated places (such as cities and towns), and unincorporated places. Boundaries data are useful for understanding the extent of jurisdictional or administrative areas for a wide range of applications, including mapping or managing resources, and responding to natural disasters. Boundaries data also include extents of forest, grassland, park, wilderness, wildlife, and other reserve areas useful for recreational activities, such as hiking and backpacking. Boundaries data are acquired from a variety of government sources. The data represents the source data with minimal editing or review by USGS. Please refer to the feature-level metadata ...
The National Highway Planning Network (NHPN) dataset was compiled on May 01, 2014 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 is a comprehensive network database of the nation's major highway system. It consists of the nation's highways comprised of Rural Arterials, Urban Principal Arterials and all National Highway System routes. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, Hawaii, and Puerto Rico. The nominal scale of the data set is 1:100,000 with a maximal positional error of 80 meters.
European Directive 2002-49 of 25 June 2002 on the assessment and management of noise in the environment lays down the framework for noise control policy.
The data were produced in response to Decree No. 2006-361 of 24 March 2006 on the preparation of noise maps and environmental noise prevention plans.
It states that noise maps and environmental noise prevention plans are drawn up: (1) For each road and motorway infrastructure with an annual traffic of more than 3 million vehicles; (2) For each railway infrastructure with an annual traffic exceeding 30,000 train crossings; (3) For agglomerations with more than 100,000 inhabitants whose list is annexed to the decree.
Noise zones were developed in 2008 in the Department of Landes. Four families of noise maps are the initial diagnosis according to four harmonised noise level indicators: Lden(level day evening night), Ln (level night), Lden above 68 dB(A) and Ln above 62 dB(A)
Axes concerned in 2008: — motorway network: A63 A64, — national network: RN10, — departmental network: RD29 RD129 RD524 RD810 RD824 RD932E RD947, — Dax road network
Reading these maps requires some precautions detailed below.
The seismic zoning map for Belgium was published in the Belgian national annex (NBN EN 1998-1 ANB) to the European building code Eurocode 8 (EN 1998-1), which became effective in all European member states in 2011. This map classifies Belgian communes into five seismic zones, corresponding to different values of the reference peak ground acceleration (PGA) to be taken into account in the design of structures for earthquake resistance. In combination with the importance class of the building and the ground type, the reference PGA is used to calculate the design response spectrum defining the accelerations that the structure should be able to withstand without collapse. For further details and the precise specifications, users should consult the normative documents, which can be ordered from the Bureau for Standardisation NBN (https://www.nbn.be/en). The Eurocode-8 seismic zoning map for Belgium was established by the Royal Observatory of Belgium, based on a reimplementation of the seismic hazard map of Leynaud et al. (2000) for a return period of 475 years (equivalent to 10% probability of exceedance in a timespan of 50 years). This hazard map was calculated following the principles of probabilistic seismic hazard assessment, and based on a simple model of seismic sources and their activity in and around Belgium, and a single ground-motion model (or “attenuation law”), describing PGA in function of earthquake magnitude and epicentral distance. To date, this is the only seismic hazard map that has been published specifically for Belgium, and it is still considered as the official seismic hazard map for Belgium.
Geospatial data is comprised of government boundaries.
https://data.gov.tw/licensehttps://data.gov.tw/license
Provide state-owned forest land zoning map shp download file, including fields DIST_C (Chinese name of forest management office), WKNG_C (Chinese name of state-owned forest business area), forest land zoning (state-owned forest business area forest land zoning).
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
In 1976, the Maryland-National Capital Park and Planning Commission (M-NCPPC) created the Locational Atlas & Index of Historic Sites, which identifies resources that are potentially historic within the county. Resources listed on the Atlas are protected from demolition or “substantial alteration” under the County Code. For more information, see Chapter 24A of the County Code.For more information, contact: Historic Preservation Montgomery County Planning Department, MNCPPC T: 301-650-3400
The NHPN is a Geographical Information System (GIS) database that contains line features representing over 450,000 miles of current and planned highways in the United States, including the National Highway System (NHS), the Strategic Highway Network (STRANET), and rural minor arterial. The current NHPN contains a set of data attributes that are suited to analytical modelling of large-scale transportation activities.
© Federal Highway Administration (FHWA) This layer is sourced from maps.bts.dot.gov.
The NHPN is a Geographical Information System (GIS) database that contains line features representing over 450,000 miles of current and planned highways in the United States, including the National Highway System (NHS), the Strategic Highway Network (STRANET), and rural minor arterial. The current NHPN contains a set of data attributes that are suited to analytical modelling of large-scale transportation activities. This dataset is part of the National Transportation Atlas Database (NTAD).
© Federal Highway Administration
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
GZT Current Plan. Published by Department of Housing, Local Government, and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Generalised Zoning Types developed for the Myplan.ie project.This represents a consistent zoning scheme across all local authorities, and complements (rather than replaces) the existing statutory zoning used for each individual plan.The data is also available to view on the Myplan.ie zoning map viewer: https://www.myplan.ie/zoning-map-viewer/ ...
HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.
These areas have been identified as eligible for inclusion in the National Register as National Historic Districts but have not been added.This layer is included in the Public Zoning Map
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.