Geographic Information System Software Market Outlook

The global Geographic Information System (GIS) Software market size was valued at approximately USD 7.8 billion in 2023 and is projected to reach USD 15.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.3% during the forecast period. This impressive growth can be attributed to the increasing demand for efficient data management tools across various industries, which rely on spatial data for decision-making and strategic planning. The rapid advancements in technology, such as the integration of AI and IoT with GIS software, have further propelled the market, enabling organizations to harness the full potential of geographic data in innovative ways.

One of the primary growth drivers of the GIS Software market is the burgeoning need for urban planning and smart city initiatives worldwide. As urbanization trends escalate, cities are increasingly relying on GIS technology to manage resources more effectively, optimize transportation networks, and enhance public safety. The ability of GIS software to provide real-time data and spatial analysis is vital for city planners and administrators faced with the challenges of modern urban environments. Furthermore, the trend towards digital transformation in governmental organizations is boosting the adoption of GIS solutions, as they seek to improve operational efficiency and service delivery.

The agricultural sector is also experiencing significant transformations due to the integration of GIS software, which is another pivotal growth factor for the market. Precision agriculture, which involves the use of GIS technologies to monitor and manage farming practices, is enabling farmers to increase crop yields while reducing resource consumption. By leveraging spatial data, farmers can make informed decisions about planting, irrigation, and harvesting, ultimately leading to more sustainable agricultural practices. This trend is particularly prominent in regions where agriculture forms a substantial portion of the economy, encouraging the adoption of advanced GIS tools to maintain competitive advantage.

Another influential factor contributing to the growth of the GIS Software market is the increasing importance of environmental management and disaster response. GIS technology plays a crucial role in assessing environmental changes, managing natural resources, and planning responses to natural disasters. The ability to overlay various data sets onto geographic maps allows for better analysis and understanding of environmental phenomena, making GIS indispensable in tackling issues such as climate change and resource depletion. Moreover, governments and organizations are investing heavily in GIS tools that aid in disaster preparedness and response, ensuring timely and effective action during emergencies.

The evolution of GIS Mapping Software has been instrumental in transforming how spatial data is utilized across various sectors. These software solutions offer robust tools for visualizing, analyzing, and interpreting geographic data, enabling users to make informed decisions based on spatial insights. With the ability to integrate multiple data sources, GIS Mapping Software provides a comprehensive platform for conducting spatial analysis, which is crucial for applications ranging from urban planning to environmental management. As technology continues to advance, the capabilities of GIS Mapping Software are expanding, offering more sophisticated features such as 3D visualization and real-time data processing. These advancements are not only enhancing the utility of GIS tools but also making them more accessible to a wider range of users, thereby driving their adoption across different industries.

Regionally, North America and Europe have traditionally dominated the GIS Software market, thanks to their robust technological infrastructure and higher adoption rates of advanced technologies. However, Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, increased government spending on infrastructure development, and the expanding telecommunications sector. The growing awareness and adoption of GIS solutions in countries like China and India are significant contributors to this regional growth. Furthermore, Latin America and the Middle East & Africa regions are slowly catching up, with ongoing investments in smart city projects and infrastructure development driving the demand for GIS software.

Component Analysis</h2&

[Superseded] This dataset is a single layer from [Superseded] City Plan 2014 – v14.00–2019 collection. Not all layers were updated in this amendment, for more information on past

           Adopted City Plan amendments.
           This feature class is shown on the Airport environs overlay map - Procedures for Air Navigation Services - Aircraft operations surfaces (map reference: OM-001.3).This feature class includes the following sub-categories:(a) Procedures for Air Navigation Services–Aircraft Operational Surfaces (PANS-OPS) sub-categories:(i) procedures for air navigation surfaces (PANS) sub-category.For information about the overlay and how it is applied, please refer to the Brisbane City Plan 2014 document. Additional information to assist with cross referencing the Airport environs overlay datasets is available in the City Plan 2014 — Airport Environs overlay — reference dataset onOpen Data website.The Airport environs overlays contain information derived from data that is created or owned by BAC and licensed to Brisbane City Council. Its use by any person for purposes not associated with planning and development in Brisbane is not authorised.

UNIDO pub. Training handbook providing introduction to geographic information systems (GIS) for industrial development of developing countries - covers (1) general objectives and objectives for training, decision making for sustainable development (2) the GIS data model and raster-based GIS applications (3) topological overlay and mathematical operations with GIS (4) IDRISI programme modules (5) ArcView programme modules (6) getting IDRISI and ArcView started (7) case studys. Bibliography. Statistics, diagrams. Additional references: computer, computer programmes, electronic data processing, mathematical analysis.

The purpose of this layer is to show the extent of the area that allows business owners along Mount Vernon Avenue in the City of Alexandria to be able to operate businesses of certain types with an administrative approval only ( without a Special Use Permit). The following uses are permitted pursuant that the business has met the standards and procedures of section 11-5131. Restaurant up to max of 60 seats, outdoor dining up to 16 seats, amusement enterprise, outdoor food and crafts market, neighborhood outdoor garden center up to a maximum of 10000 sq. ft., and outdoor display of retail goods. Planning and Zoning staff, as well as other agencies in the city government use this layer to identify the appropriate location of the above mentioned special uses in this special overlay zone. This layer assists planning staff in approving applications and is managing compliance with all the conditions that are imposed on the business. The Overlay Zone is designed to enhance economic development and to ease in operating a business in the City of Alexandria.

The Airport Protection Overlay Area (APOA) is an overlay illustrated on the urban and rural planning maps that effects the identified land in close proximity to Gisborne Airport and its flight corridors. Rules to protect both Gisborne Airport and land users shall apply to this area. Air Noise Boundary and Outer Control Boundaries identify, in accordance with NZS 6805:1992 “Airport Noise Management and Land Use Planning”, the 55dBA and 65dBA noise limit boundaries, respectively) These noise controls apply for activities associated with the operation of the Airport. This method enables identification of areas in which noise sensitive activities would not be appropriate and recognizes the essential nature of the airport operation to the Gisborne district. Airport Height Control Surfaces: These are air corridors to and from each runway, together with transition side slopes, a horizontal surface and a conical surface laying over and radiating out from the runways. Vegetation and structures are restricted from encroaching into these surfaces. The Airport Protection Overlay Area (APOA) is an overlay illustrated on the urban and rural planning maps that effects the identified land in close proximity to Gisborne Airport and its flight corridors. Rules to protect both Gisborne Airport and land users shall apply to this area. Air Noise Boundary and Outer Control Boundary: These boundaries identify, in accordance with NZS 6805:1992 “Airport Noise Management and Land Use Planning”, the 55dBA and 65dBA noise limit boundaries, respectively. These noise controls apply for activities associated with the operation of the Airport. This method enables identification of areas in which noise sensitive activities would not be appropriate and recognizes the essential nature of the airport operation to the Gisborne district. Airport Height Control Surfaces: These are air corridors to and from each runway, together with transition side slopes, a horizontal surface and a conical surface laying over and radiating out from the runways. Vegetation and structures are restricted from encroaching into these surfaces.

Data DictionaryThe Parcelcent data set is a thematic layer depicting current real property parcel internal centroids within Snohomish County, Washington based on the boundaries of the Parcels data set. Parcels in this data set are defined as real property entities that can be valued for the purpose of collecting taxes. Parcels include, but are not limited to land, buildings on leased land, mobile homes and condominium units. Parcel centroids may be coincident. Parcels such as condominium units and mobile homes that may occupy a single polygon are represented as non-planar features (regions) of the same geographic extent and have the same centroid position in this data set. The Parcelcent data set does not depict legal ownership nor does it represent legal building lots. Snohomish County does not maintain parcels or centroids for the complete geographic coverage of the county. There is no parcel fabric in much of the eastern mountainous area. The purpose of this data set is to facilitate polygon overlay operations with the parcel data set. This data set has the same attributes as the Parcels data set it is derived from.

[Metadata] Agricultural Land Use (2015). Source: The University of Hawaii at Hilo Spatial Data Analysis and Visualization (SDAV) Laboratory in conjunction with the Hawaii State Department of Agriculture, 2015.

"The Wetlands layer forms part of the Biodiversity, Waterways and Wetlands Overlay Maps for the Sunshine Coast Planning Scheme 2014.

This layer is for the purpose of the Sunshine Coast Planning Scheme 2014 only. Please contact Council on 5475 7526 or email mail@sunshinecoast.qld.gov.au for more information on the Sunshine Coast Planning Scheme 2014.

Note on Biodiversity, Waterways and Wetlands Overlay Maps ─ *Areas not identified by the Biodiversity, Waterways and Wetlands Overlay Maps may also contain Ecologically Important Areas, rare or threatened flora and fauna species or their supporting habitat. Development occurring in such areas will also be assessable against the Biodiversity, Waterways and Wetlands Overlay Code. * Overlays provide a trigger for consideration of an overlay issue to be verified by further on-site investigations. * In certain circumstances pre-existing development approvals may override the operation of an overlay."

[Metadata] Agricultural Land Use (2020). Source: The University of Hawaii at Hilo Spatial Data Analysis and Visualization (SDAV) Laboratory in conjunction with the Hawaii State Department of Agriculture, 2021. Updated February 2022.The 2020 Update to the Hawaiʻi Statewide Agricultural Land Use Baseline layer was created to provide a snapshot of contemporary commercial agricultural land use activity in Hawaiʻi. It is based upon an assemblage of geospatial datasets, primarily high-resolution WorldView-2 and WorldView-3 satellite imagery (2018 – 2020) used as a base layer for digitization. Additional datasets used in this work include GIS layers provided by the state of Hawaiʻi, Office of Planning Statewide GIS Program and other data provided by major land owners and managers. County Real Property Tax and Agricultural Water Use data were also used to identify commercial farm operations. Not all properties that receive County agricultural tax assessment rates or reduced water cost for agricultural uses were mapped due to the small scale of some of their operations. These data sources were used to verify mapped commercial farms and identify operations that might have been missed using the imagery alone. Digitized crop locations and boundaries were verified through a combination of on-the-ground site visits, meetings and presentations of draft layers with agricultural stakeholders and landowners, solicitations through a publicly accessible online web mapping portal, and spot- checking using Google Earth™ and other high resolution imagery sources. The 2020 Update to the Hawaiʻi Statewide Agricultural Land Use Baseline layer represents our best efforts to capture the scale and diversity of commercial agricultural activity in Hawaiʻi in 2020 and should be used for informational purposes only. Note: February 2022: Maui County added, Several additional minor updates have been made to the original 2020 Update to the Hawaii Statewide Agricultural Land Use Baseline that was published in May 2021. Note: April 2022: Several users of the data discovered that the original 2015 Hawaiʻi Statewide Agricultural Land Use Baseline layer and the 2020 Update to the Hawaiʻi Statewide Agricultural Land Use Baseline layer did not overlay properly, with an offset between the layers of 10 feet to 40 feet, depending on the area. As a result, both the original and the updated layers have been republished, and now overlay as they should. The underlying data itself has not changed. Please note - if you download data from the State's geoportal (https://geoportal.hawaii.gov/), the data is exported in WGS84 coordinates, although it is stored internally (in the State’s geodatabase), served in the State's web services (https://geodata.hawaii.gov/arcgis/rest/services) and made available in the State's legacy download site (https://planning.hawaii.gov/gis/download-gis-data-expanded/) in UTM / NAD 83 HARN coordinates. For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/aglanduse_2020.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

[Superseded]This dataset is a single layer from [Superseded] City Plan 2014 – v22.00–2021 collection. Not all layers were updated in this amendment, for more information on past Adopted City Plan amendments.This feature class is shown on:(1) Airport environs overlay map - Obstacle Limitation Surfaces map (map reference: OM-001.2).- This feature class is shown as the Obstacle Limitation Surfaces (OLS) sub-category: runway centreline sub-category.(2) Airport environs overlay map - Procedures for Air Navigation Services-Aircraft Operations Surfaces (map reference: OM-001.3).- This feature class is shown as the Runway centreline map layer.For information about the overlay and how it is applied, please refer to the Brisbane City Plan 2014 document. Additional information to assist with cross referencing the Airport environs overlay datasets is available in the City Plan 2014 — Airport Environs overlay — reference dataset on Open Data website.The Airport environs overlays contain information derived from data that is created or owned by BAC and licensed to Brisbane City Council. Its use by any person for purposes not associated with planning and development in Brisbane is not authorised.

This file is the result of an overlay operation between the space requirement for the 2019 state at 10x10 m² resolution and the destinations according to the 'space accounting file', state 01/01/2020, updated to a 10x10 m² resolution. The concept of 'occupation of space' is defined in the White Paper on the Spatial Policy Plan as that part of the space in which the biophysical function is no longer the most important. In other words, it is about the space occupied by our settlements (i.e. for housing, industrial and commercial purposes, transport infrastructure, recreational purposes and also parks and gardens). This definition is based on the definition used by the European Commission for 'settlement area' or 'artificial land', namely "the area of ​​land used for housing, industrial and commercial purposes, health care, education, nursing infrastructure, roads and rail networks , recreation (parks and sports grounds), etc. In land use planning, it usually corresponds to all land uses beyond agriculture, semi-natural areas, forestry, and water bodies." (EC, 2012). The budget for space, which was included in the Spatial Structure Plan for Flanders (RSV), sets the quantitative target figures for the increases and decreases in the surface areas of the various zoning categories. The so-called spatial accounting (RBH) of the RSV is the monitoring instrument with which the follow-up of these target figures with regard to these (planning) zoning categories is calculated. It concerns a monitoring of planned land use, so the RBH does not provide information about the actual use of space. The various destinations on the construction plans and spatial implementation plans at regional, provincial and municipal level are calculated according to a number of destination categories: housing, industry, industry within the gates, recreation, nature and reserve, forest, other green areas, agriculture and other destinations . With a view to the annually repeated calculation of the 'Spatial Accounting RSV' indicator, a GIS file was built that is updated with each calculation with the current state of the relevant information from the relevant zoning plans at that time. The analysis and discussion in this indicator is based on this interim work file. In what follows we refer to this GIS file with the term 'space accounting file'. For the calculation of this composite indicator, the destinations were divided into 'soft destinations' (i.e. intended not to be dominated by land take) and 'hard destinations' (i.e. intended to be dominated by land take) based on their RBH categories. The destinations belonging to the RBH categories 'Other green' and 'Other' are assigned in accordance with a table that appears with the detailed description of this indicator in the technical report mentioned below. The space occupied for the 2019 situation at 10x10 m² resolution is compared in this indicator with the destinations according to the spatial accounting file, status 01/01/2020, surprised to a resolution of 10x10 m². Four categories can be derived from the confrontation between the space occupied and the space accounting: • Cat A: 'hardly intended' with space occupied • Cat B: 'softly' intended with space occupied • Cat C: 'hardly' intended without taking up space • Cat D: ' soft' intended without land take The surface figures resulting from the overlay of the land take (accurate to within 0.01 hectare) and the land accounting file must be rounded to an accuracy level of 10ha. More details about the creation of this product and the accompanying figures are therefore now referred to the technical report 'Indicators Spatial Efficiency, state and evolution 2013-2019 - technical data sheets' that you can find at https://archief-algemeen.milieu.vlaanderen .be/xmlui/handle/acd/762878

Dit bestand is het resultaat van een overlay-bewerking tussen het ruimtebeslag voor de toestand 2013 op 10x10 m² resolutie en de bestemmingen volgens het ‘ruimteboekhoudingsbestand’, toestand 01/01/2014, verrasterd naar een resolutie van 10x10 m². Het concept ‘ruimtebeslag’ is gedefinieerd in het Witboek Beleidsplan Ruimte als dat deel van de ruimte waarin de biofysische functie niet langer de belangrijkste is. Het gaat, met andere woorden, over de ruimte die ingenomen worden door onze nederzettingen (dus voor huisvesting, industriële en commerciële doeleinden, transportinfrastructuur, recreatieve doeleinden en ook parken en tuinen). Deze definitie is gebaseerd op de definitie die de Europese Commissie hanteert voor ‘settlement area’ of ‘artificial land’, namelijk "the area of land used for housing, industrial and commercial purposes, health care, education, nursing infrastructure, roads and rail networks, recreation (parks and sports grounds), etc. In land use planning, it usually corresponds to all land uses beyond agriculture, semi-natural areas, forestry, and water bodies." (EC, 2012). De begroting van de ruimte, die in het Ruimtelijk Structuurplan Vlaanderen (RSV) werd opgenomen, legt de kwantitatieve streefcijfers vast van de toe- en afnamen van de oppervlakten van de verschillende bestemmingscategorieën. De zogenaamde ruimteboekhouding (RBH) van het RSV is het monitoringsinstrument waarmee de opvolging van deze streefcijfers met betrekking tot deze (planologische) bestemmingscategorieën berekend wordt. Het gaat om een monitoring van gepland landgebruik, bijgevolg geeft de RBH geen informatie over het feitelijke ruimtegebruik weer. De verschillende bestemmingen op de plannen van aanleg en ruimtelijke uitvoeringsplannen op gewestelijk, provinciaal en gemeentelijk niveau zijn daarin verrekend volgens een aantal bestemmingscategorieën: wonen, industrie, industrie binnen de poorten, recreatie, natuur en reservaat, bos, overig groen, landbouw en overige bestemmingen. Met het oog op de jaarlijks herhaalde berekening van de indicator ‘ruimteboekhouding RSV’ werd een GIS-bestand opgebouwd dat bij elke berekening wordt geactualiseerd met de op dat moment actuele toestand van de relevante informatie uit de betrokken bestemmingsplannen. De analyse en bespreking in deze indicator is gebaseerd op dit tussentijds werkbestand. In wat volgt verwijzen we naar dit GIS-bestand met de term ‘ruimteboekhoudingsbestand’. Voor de berekening van deze samengestelde indicator werden de bestemmingen opgedeeld in ‘zachte bestemmingen’ (i.e. bestemd om niet gedomineerd te worden door ruimtebeslag) en ‘harde bestemmingen’ (i.e. bestemd om gedomineerd te worden door ruimtebeslag) op basis van hun RBH-categorieën. De bestemmingen behorende tot de RBH-categorieën ‘Overig groen’ en ‘Overige’ worden daarbij toegekend volgens een tabel die verschijnt bij de gedetailleerde beschrijving van deze indicator in het verder vermelde technisch rapport. Het ruimtebeslag voor de toestand 2013 op 10x10 m² resolutie wordt in deze indicator vergeleken met de bestemmingen volgens het ruimteboekhoudingsbestand, toestand 01/01/2014, verrasterd naar een resolutie van 10x10 m². Uit de confrontatie tussen het ruimtebeslag en de ruimteboekhouding kunnen 4 categorieën afgeleid worden: • Cat A: ‘hard bestemd’ met ruimtebeslag • Cat B: ‘zacht’ bestemd met ruimtebeslag • Cat C: ‘hard’ bestemd zonder ruimtebeslag • Cat D: ‘zacht’ bestemd zonder ruimtebeslag De oppervlaktecijfers die resulteren uit de overlay van het ruimtebeslag (nauwkeurig tot op 0.01 hectare) en het ruimteboekhoudingsbestand moeten afgerond worden op een nauwkeurigheidsniveau van 10ha. Deze geodatalaag werd in 2021 vervangen door een herwerkte versie voor toestand 2013, om conform te blijven met de bijgestelde methode die gehanteerd werd bij de opmaak van toestand 2019. Meer details over de totstandkoming van dit product en de bijhorende cijfers wordt daarom nu verwezen naar het technisch rapport 'Indicatoren Ruimtelijk Rendement, toestand en evolutie 2013-2019 - technische fiches' dat je terugvindt onder https://archief-algemeen.omgeving.vlaanderen.be/xmlui/handle/acd/762878

This file is the result of an overlay operation between the space occupied for the state 2013 at 10x10 m² resolution and the destinations according to the 'space accounting file', state 01/01/2014, surprised to a resolution of 10x10 m². The concept of 'occupation of space' is defined in the White Paper on the Spatial Policy Plan as that part of the space in which the biophysical function is no longer the most important. In other words, it is about the space occupied by our settlements (i.e. for housing, industrial and commercial purposes, transport infrastructure, recreational purposes and also parks and gardens). This definition is based on the definition used by the European Commission for 'settlement area' or 'artificial land', namely "the area of ​​land used for housing, industrial and commercial purposes, health care, education, nursing infrastructure, roads and rail networks , recreation (parks and sports grounds), etc. In land use planning, it usually corresponds to all land uses beyond agriculture, semi-natural areas, forestry, and water bodies." (EC, 2012). The budget for space, which was included in the Spatial Structure Plan for Flanders (RSV), sets the quantitative target figures for the increases and decreases in the surface areas of the various zoning categories. The so-called spatial accounting (RBH) of the RSV is the monitoring instrument with which the follow-up of these target figures with regard to these (planning) zoning categories is calculated. It concerns a monitoring of planned land use, so the RBH does not provide information about the actual use of space. The various destinations on the construction plans and spatial implementation plans at regional, provincial and municipal level are calculated according to a number of destination categories: housing, industry, industry within the gates, recreation, nature and reserve, forest, other green areas, agriculture and other destinations . With a view to the annually repeated calculation of the 'Spatial Accounting RSV' indicator, a GIS file was built that is updated with each calculation with the current state of the relevant information from the relevant zoning plans at that time. The analysis and discussion in this indicator is based on this interim work file. In what follows we refer to this GIS file with the term 'space accounting file'. For the calculation of this composite indicator, the destinations were divided into 'soft destinations' (i.e. intended not to be dominated by land take) and 'hard destinations' (i.e. intended to be dominated by land take) based on their RBH categories. The destinations belonging to the RBH categories 'Other green' and 'Other' are assigned in accordance with a table that appears with the detailed description of this indicator in the technical report mentioned below. The space occupied for the 2013 situation at 10x10 m² resolution is compared in this indicator with the destinations according to the spatial accounting file, status 01/01/2014, surprised to a resolution of 10x10 m². Four categories can be derived from the confrontation between the space occupied and the space accounting: • Cat A: 'hardly intended' with space occupied • Cat B: 'softly' intended with space occupied • Cat C: 'hardly' intended without taking up space • Cat D: ' soft' intended without land take The surface figures resulting from the overlay of the land take (accurate to within 0.01 hectare) and the land accounting file must be rounded to an accuracy level of 10ha. This geodata layer was replaced in 2021 by a revised version for status 2013, in order to remain in line with the adjusted method used for the preparation of status 2019. More details about the creation of this product and the accompanying figures are therefore now referred to the technical report 'Indicators Spatial Efficiency, status and evolution 2013-2019 - technical data sheets' that you can find under https://archief-algemeen.milieu.vlaanderen.be/xmlui/handle/acd/762878

The purpose of this Section is to facilitate the creation of new Large -Scale GroundMounted Solar Photovoltaic Installations by providing standards for the placement, design, construction, operation, monitoring, modification and removal of such installations that address public safety, minimize impacts on environmental, scenic, natural and historic resources and to provide adequate financial assurance for the eventual decommissioning of such installations. The provisions set forth in this Section shall apply to the construction, operation, repair, and/or removal of Large-Scale Ground-Mounted Solar Photovoltaic Installations greater than 250 kW on at least 5 acres of land in the SPOD

"The High Bushfire Hazard Area Buffer and Medium Bushfire Hazard Area Buffer layers form part of the Bushfire Hazard Overlay Maps for the Sunshine Coast Planning Scheme 2014.

This layer is for the purpose of the Sunshine Coast Planning Scheme 2014 only. Please contact Council on 5475 7526 or email mail@sunshinecoast.qld.gov.au for more information on the Sunshine Coast Planning Scheme 2014.

Notes on Bushfire Hazard Overlay Maps ─ * Overlays provide a trigger for consideration of an overlay issue to be verified by further on-site investigations. * In certain circumstances pre-existing development approvals may override the operation of an overlay."

"The Waterways layer forms part of the Biodiversity, Waterways and Wetlands Overlay Maps for the Sunshine Coast Planning Scheme 2014. The data identifies Stream Order 1 -2, Stream Order 3 -4 and Stream Order 5 and above.

This layer is for the purpose of the Sunshine Coast Planning Scheme 2014 only. Please contact Council on 5475 7526 or email mail@sunshinecoast.qld.gov.au for more information on the Sunshine Coast Planning Scheme 2014.

Note on Biodiversity, Waterways and Wetlands Overlay Maps ─ *Areas not identified by the Biodiversity, Waterways and Wetlands Overlay Maps may also contain Ecologically Important Areas, rare or threatened flora and fauna species or their supporting habitat. Development occurring in such areas will also be assessable against the Biodiversity, Waterways and Wetlands Overlay Code. * Overlays provide a trigger for consideration of an overlay issue to be verified by further on-site investigations. * In certain circumstances pre-existing development approvals may override the operation of an overlay."

More MetadataQuarry Notification (QN) Overlay District boundaries are based on the presence of quarrying operations at any location in the County and includes all parcels within 3,000 feet of any property approved for quarrying operations regardless of whether or not blasting operations occur on such property.Purpose:This district is established to acknowledge the unique land use impact of a quarry on neighboring land uses and the need to notify the owners of the presence of a neighboring quarry.

This map is designed to be used as a basemap by marine GIS professionals and as a reference map by anyone interested in ocean data. The basemap includes a vector tile layer for marine water body names, undersea feature names, and derived bathymetric depth values in meters. Land features include administrative boundaries, cities, inland waters, roads, overlaid on land cover and shaded relief imagery, including ocean floor relief.The map was compiled from a variety of best available sources from several data providers, including General Bathymetric Chart of the Oceans GEBCO_08 Grid version 20100927 and IHO-IOC GEBCO Gazetteer of Undersea Feature Names August 2010 version (https://www.gebco.net), National Oceanic and Atmospheric Administration (NOAA) and National Geographic for the oceans; and DeLorme, HERE, and Esri for topographic content. The basemap was designed and developed by Esri.The Ocean Basemap currently provides coverage for the world down to a scale of ~1:577k; coverage down to ~1:72k in United States coastal areas and various other areas; and coverage down to ~1:9k in limited regional areas. This demonstrates how the Ocean Basemap can and will be extended with higher resolution bathymetric data. You can contribute your bathymetric data to this service and have it served by Esri for the benefit of the Ocean GIS community. For details, see the Community Maps Program.The Ocean Basemap includes two layers, a base layer and overlay vector reference layer, so that users can display their operational data between they layers as needed. For the latest and most detailed information, please visit the World Ocean Base map service description or World Ocean Reference tile layer.

This Map Service contains many of the primary data types created by both the Bureau of Ocean Energy Management (BOEM) and the Bureau of Safety and Environmental Enforcement (BSEE) within the Department of Interior (DOI) for the purpose of managing offshore federal real estate leases for oil, gas, minerals, renewable energy, sand and gravel. These data layers are being made available as REST mapping services for the purpose of web viewing and map overlay viewing in GIS systems. Due to re-projection issues which occur when converting multiple UTM zone data to a single national or regional projected space, and line type changes that occur when converting from UTM to geographic projections, these data layers should not be used for official or legal purposes. Only the original data found within BOEM/BSEE’s official internal database, federal register notices or official paper or pdf map products may be considered as the official information or mapping products used by BOEM or BSEE. A variety of data layers are represented within this REST service are described further below. These and other cadastre information the BOEM and BSEE produces are generated in accordance with 30 Code of Federal Regulations (CFR) 256.8 to support Federal land ownership and mineral resource management.For more information – Contact: Branch Chief, Mapping and Boundary Branch, BOEM, 381 Elden Street, Herndon, VA 20170. Telephone (703) 787-1312; Email: mapping.boundary.branch@boem.govThe REST services for National Level Data can be found here: https://gis.boem.gov/arcgis/rest/services/BOEM_BSEE/MMC_Layers/MapServerREST services for regional level data can be found by clicking on the region of interest from the following URL: https://gis.boem.gov/arcgis/rest/services/BOEM_BSEEIndividual Regional Data or in depth metadata for download can be obtained in ESRI Shape file format by clicking on the region of interest from the following URL: https://www.boem.gov/Oil-and-Gas-Energy-Program/Mapping-and-Data/Index.aspxCurrently the following layers are available from this REST location:OCS Drilling Platforms -Locations of structures at and beneath the water surface used for the purpose of exploration and resource extraction. Only platforms in federal Outer Continental Shelf (OCS) waters are included. A database of platforms and rigs is maintained by BSEE.OCS Oil and Natural Gas Wells -Existing wells drilled for exploration or extraction of oil and/or gas products. Additional information includes the lease number, well name, spud date, the well class, surface area/block number, and statistics on well status summary. Only wells found in federal Outer Continental Shelf (OCS) waters are included. Wells information is updated daily. Additional files are available on well completions and well tests. A database of wells is maintained by BSEE.OCS Oil and Gas Pipelines -This dataset is a compilation of available oil and gas pipeline data and is maintained by BSEE. Pipelines are used to transport and monitor oil and/or gas from wells within the outer continental shelf (OCS) to resource collection locations. Currently, pipelines managed by BSEE are found in Gulf of Mexico and southern California waters. BOEM Limit of OCSLA ‘8(g)’ zone - The Outer Continental Shelf Lands Act '8(g) Zone' lies between the Submerged Lands Act (SLA) boundary line and a line projected 3 nautical miles seaward of the SLA boundary line. Within this zone, oil and gas revenues are shared with the coastal state(s). The official version of the ‘8(g)’ Boundaries can only be found on the BOEM Official Protraction Diagrams (OPDs) or Supplemental Official Protraction described below.Submerged Lands Act Boundary - The SLA boundary defines the seaward limit of a state's submerged lands and the landward boundary of federally managed OCS lands. The official version of the SLA Boundaries can only be found on the BOEM Official Protraction Diagrams (OPDs) or Supplemental Official Protraction Diagrams described below.BOEM OCS Protraction Diagrams & Leasing Maps - This data set contains a national scale spatial footprint of the outer boundaries of the Bureau of Ocean Energy Management’s (BOEM’s) Official Protraction Diagrams (OPDs) and Leasing Maps (LMs). It is updated as needed. OPDs and LMs are mapping products produced and used by the BOEM to delimit areas available for potential offshore mineral leases, determine the State/Federal offshore boundaries, and determine the limits of revenue sharing and other boundaries to be considered for leasing offshore waters. This dataset shows only the outline of the maps that are available from BOEM.Only the most recently published paper or pdf versions of the OPDs or LMs should be used for official or legal purposes. The pdf maps can be found by going to the following link and selecting the appropriate region of interest. https://www.boem.gov/Oil-and-Gas-Energy-Program/Mapping-and-Data/Index.aspx Both OPDs and LMs are further subdivided into individual Outer Continental Shelf(OCS) blocks which are available as a separate layer. Some OCS blocks that also contain other boundary information are known as Supplemental Official Block Diagrams (SOBDs.) Further information on the historic development of OPD's can be found in OCS Report MMS 99-0006: Boundary Development on the Outer Continental Shelf: https://www.boemre.gov/itd/pubs/1999/99-0006.PDF Also see the metadata for each of the individual GIS data layers available for download. The Official Protraction Diagrams (OPDs) and Supplemental Official Block Diagrams (SOBDs), serve as the legal definition for BOEM offshore boundary coordinates and area descriptions.BOEM OCS Lease Blocks - Outer Continental Shelf (OCS) lease blocks serve as the legal definition for BOEM offshore boundary coordinates used to define small geographic areas within an Official Protraction Diagram (OPD) for leasing and administrative purposes. OCS blocks relate back to individual Official Protraction Diagrams and are not uniquely numbered. Only the most recently published paper or pdf versions of the OPDs or LMs or SOBDs should be used for official or legal purposes. The pdf maps can be found by going to the following link and selecting the appropriate region of interest within the OPD/SOBD table.https://www.boem.gov/Oil-and-Gas-Energy-Program/Mapping-and-Data/Index.aspxBOEM Oil and Gas Leases – Blocks that are currently leased from the federal government by industry for the purpose of development of traditional oil or gas energy products and may or may not be actively developed or producing. Leases in state waters are not included in this layer.BOEM Oil and Gas Planning Areas - Planning areas are used to support the 5-Year Oil and Gas Program consisting of a schedule of oil and gas lease sales indicating the size, timing and location of proposed leasing activity the Secretary of Interior determines will best meet national energy needs for the five year period following its approval. An area must be included in the current 5-Year Program in order to be offered for leasing. Section 18 of the OCS Lands Act prescribes the major steps involved in developing a 5-Year Program including extensive public comment steps. A 5-Year Program balances energy needs and environmental considerations in accordance with 30 Code of Federal Regulations (CFR) 256.8 to support Federal land ownership and mineral resource management.Seismic Water Bottom Anomalies 230,000 sq km of seismic data interpretation mapping over 32,000 seafloor seismic amplitude anomalies in the Gulf of Mexico using 3-D time-migrated seismic surveys. This mapping program means to understand the distribution of natural hydrocarbon seeps and the related benthic fauna, and to characterize other seafloor features related to the geological framework of the seafloor. These areas show anomalously high or low amplitude response over the background response. Four classes of water bottom anomalies interpreted to be caused by hydrocarbon seepage include High-Positive, Low-Positive/Negative, Pockmarks and Water-Column Gas Plumes. Six classes of water bottom anomalies that are non-seep related include Cretaceous, Cretaceous Talus, Fan, Salt, Slump, and Channels. Please visit https://www.boem.gov/Seismic-Water-Bottom-Anomalies-Map-Gallery/ for more information on these anomaly types.Marine Minerals Significant Sand Resource Blocks - This data set contains OCS block outlines and delineated polygons in ESRI ArcGIS shape file format for the BOEM Gulf of Mexico Region that contain sediment resources and areas of disposal in support of the Marine Minerals Program. Coastal restoration, beach nourishment, and levee reconstruction are crucial to mitigate future coastal erosion, land loss, flooding, and storm damage in the Gulf of Mexico. The success of that long-term effort depends on locating and securing significant quantities of OCS sediment resources that are compatible with the target environments being restored. Offshore sand resources, like upland sources, are extremely scarce where most needed. Additionally, vast areas of these relatively small offshore sand resources are not extractable because of the presence of oil and gas infrastructure, archaeologically sensitive areas, and biologically sensitive areas. Since the use of OCS sediment resources is authorized by the BOEM through its Marine Mineral Program, the bureau is implementing several measures to help safeguard the most significant OCS sediment resources, reduce multiple use conflicts, and minimize interference with oil and gas operations under existing leases or rights-of-way.

PURPOSEThe purpose of Supplemental Use Districts is to regulate and restrict the location of certain types of uses whose requirements are difficult to anticipate and cannot adequately be provided for in the "Comprehensive Zoning Plan". These uses, the boundaries of the districts where they are permitted, the limitations governing their operations, and the procedure for the establishment of new districts, are provided for in Article 3 of the Zoning Code. Except for the "Supplemental Uses" permitted by Article 3 of the Zoning Code, all property within the districts hereby established is subject to the provisions of the "Comprehensive Zoning Plan".DISTRICTSOil Drilling District (O)Animal Slaughtering District (S)Surface Mining District (G)Residential Planning Development District (RPD)Equinekeeping District (K)Commercial and Artcraft District (CA)Pedestrian Oriented District (POD)Community Design Overlay District (CDO)Mixed Use District (MU)Fence Height District (FH)Sign District (SN)Residential Floor Area District (RFA)Neighborhood Stabilization Overlay District (NSO)Community Plan Implementation Overlay District (CPIO)Hillside Standards Overlay District (HS)Modified Parking Requirement District (MPR)River Improvement Overlay District (RIO)Clean Up Green Up Overlay District (CUGU)Rear Detached Garage District (RG)Hillside Construction Regulation District (HCR)These districts and their boundaries are shown on portions of the "Zoning Map" as provided for in Section 12.04 and made a part thereof by a combination of the zone and district symbols. This map, notations, references, and other information shown on it which pertain to the boundaries of these districts are made a part of this article as if fully described here. Reference is hereby made to those maps, notations, references and other information for full particulars.Refresh Rate: As Needed