This form must be compiled and sent to hq.esriservices@wfp.org to request a license for ArcGIS Desktop.

ArcGIS Desktop 10.8.2. This is just a software. If you need a license, please send a request to Software Central (softwarecentral@ucla.edu).

A listing of current business licenses in the City of Alpharetta. Most items in this dataset are associated with a spatial location and can be plotted in GIS software, however some features may not be tied to a location, and therefore may appear to plot outside of the Alpharetta city limits.

A listing of current business licenses in the City of Alpharetta. Most items in this dataset are associated with a spatial location and can be plotted in GIS software, however some features may not be tied to a location, and therefore may appear to plot outside of the Alpharetta city limits.Important: If you are downloading a dataset from https://open-alpharetta.opendata.arcgis.com, please disregard the Updated, Created, and Published dates on the web page. Most datasets are refreshed nightly. At times, however, the website may provide you with an older cached copy of the data. To ensure you are downloading the most current dataset, we recommend using the "Request new file" option that may appear after you have downloaded a stale dataset.

A listing of current business licenses in the City of Alpharetta. Most items in this dataset are associated with a spatial location and can be plotted in GIS software, however some features may not be tied to a location, and therefore may appear to plot outside of the Alpharetta city limits.Important: If you are downloading a dataset from https://open-alpharetta.opendata.arcgis.com, please disregard the Updated, Created, and Published dates on the web page. Most datasets are refreshed nightly. At times, however, the website may provide you with an older cached copy of the data. To ensure you are downloading the most current dataset, we recommend using the "Request new file" option that may appear after you have downloaded a stale dataset.

This table is part of the King County State of GIS Software Usage dashboard.This table shows quarterly GIS Software usage by department from January 2021 to present. Usage data collected from ArcGIS Online login information, the OpenLM app, and King County's Active Directory instance.This table is updated once per quarter, in April, July, October, and January. Use the 🔒GIS License Manager (King County login and VPN required) for more detailed and more frequently updated data.

The global geographical mapping software market is experiencing robust growth, driven by increasing demand across diverse sectors. The market's expansion is fueled by several key factors. Firstly, the rising adoption of cloud-based solutions offers scalability, accessibility, and cost-effectiveness, attracting businesses of all sizes. Secondly, advancements in GIS technology, including improved data visualization, analytical capabilities, and integration with other software platforms, are enhancing the market's appeal. Thirdly, the burgeoning need for precise spatial data analysis in various applications, such as urban planning, geological exploration, and water resource management, is significantly contributing to market expansion. Finally, government initiatives promoting digitalization and spatial data infrastructure development further stimulate market growth. Despite the positive outlook, the market faces certain challenges. The high initial investment required for advanced software licenses and the need for skilled professionals to effectively utilize these tools can act as barriers to entry for smaller organizations. Furthermore, data security concerns and the need for reliable internet connectivity, especially in remote areas, remain crucial factors influencing market penetration. Considering a base year market size of $8 billion (an estimated figure based on industry reports and the provided data, which lacks a specific market size value) and a conservative CAGR of 8% (a reasonable estimate based on similar technology markets), the market is projected to reach approximately $14 billion by 2033. The segmentation by application (Geological Exploration, Water Conservancy Projects, Urban Planning, Others) and type (Cloud-based, Web-based) highlights the market's versatility and its adaptation to diverse user needs. The competitive landscape is characterized by a mix of established players like Esri, Autodesk, and Hexagon, and emerging niche providers offering specialized solutions.

DNRGPS is an update to the popular DNRGarmin application. DNRGPS and its predecessor were built to transfer data between Garmin handheld GPS receivers and GIS software.

DNRGPS was released as Open Source software with the intention that the GPS user community will become stewards of the application, initiating future modifications and enhancements.

DNRGPS does not require installation. Simply run the application .exe

See the DNRGPS application documentation for more details.

Compatible with: Windows (XP, 7, 8, 10, and 11), ArcGIS shapefiles and file geodatabases, Google Earth, most hand-held Garmin GPSs, and other NMEA output GPSs

Limited Compatibility: Interactions with ArcMap layer files and ArcMap graphics are no longer supported. Instead use shapefile or geodatabase.

Prerequisite: .NET 4 Framework

DNR Data and Software License Agreement

Subscribe to the DNRGPS announcement list to be notified of upgrades or updates.

National Monuments Service - Archaeological Survey of Ireland. Published by Department of Housing, Local Government and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This Archaeological Survey of Ireland dataset is published from the database of the National Monuments Service Sites and Monuments Record (SMR). This dataset also can be viewed and interrogated through the online Historic Environment Viewer: https://heritagedata.maps.arcgis.com/apps/webappviewer/index.html?id=0c9eb9575b544081b0d296436d8f60f8

A Sites and Monuments Record (SMR) was issued for all counties in the State between 1984 and 1992. The SMR is a manual containing a numbered list of certain and possible monuments accompanied by 6-inch Ordnance Survey maps (at a reduced scale). The SMR formed the basis for issuing the Record of Monuments and Places (RMP) - the statutory list of recorded monuments established under Section 12 of the National Monuments (Amendment) Act 1994. The RMP was issued for each county between 1995 and 1998 in a similar format to the existing SMR. The RMP differs from the earlier lists in that, as defined in the Act, only monuments with known locations or places where there are believed to be monuments are included.

The large Archaeological Survey of Ireland archive and supporting database are managed by the National Monuments Service and the records are continually updated and supplemented as additional monuments are discovered. On the Historic Environment viewer an area around each monument has been shaded, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes. This data has been released for download as Open Data under the DPER Open Data Strategy and is licensed for re-use under the Creative Commons Attribution 4.0 International licence. http://creativecommons.org/licenses/by/4.0

Please note that the centre point of each record is not indicative of the geographic extent of the monument. The existing point centroids were digitised relative to the OSI 6-inch mapping and the move from this older IG-referenced series to the larger-scale ITM mapping will necessitate revisions. The accuracy of the derived ITM co-ordinates is limited to the OS 6-inch scale and errors may ensue should the user apply the co-ordinates to larger scale maps. Records that do not refer to 'monuments' are designated 'Redundant record' and are retained in the archive as they may relate to features that were once considered to be monuments but which on investigation proved otherwise. Redundant records may also refer to duplicate records or errors in the data structure of the Archaeological Survey of Ireland.

This dataset is provided for re-use in a number of ways and the technical options are outlined below. For a live and current view of the data, please use the web services or the data extract tool in the Historic Environment Viewer. The National Monuments Service also provide an Open Data snapshot of its national dataset in CSV as a bulk data download. Users should consult the National Monument Service website https://www.archaeology.ie/ for further information and guidance on the National Monument Act(s) and the legal significance of this dataset.

Open Data Bulk Data Downloads (version date: 23/08/2023)

The Sites and Monuments Record (SMR) is provided as a national download in Comma Separated Value (CSV) format. This format can be easily integrated into a number of software clients for re-use and analysis. The Longitude and Latitude coordinates are also provided to aid its re-use in web mapping systems, however, the ITM easting/northings coordinates should be quoted for official purposes. ERSI Shapefiles of the SMR points and SMRZone polygons are also available The SMRZones represent an area around each monument, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes.

GIS Web Service APIs (live views):

For users with access to GIS software please note that the Archaeological Survey of Ireland data is also available spatial data web services. By accessing and consuming the web service users are deemed to have accepted the Terms and Conditions. The web services are available at the URL endpoints advertised below:

SMR; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMROpenData/FeatureServer

SMRZone; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMRZoneOpenData/FeatureServer

Historic Environment Viewer - Query Tool

The "Query" tool can alternatively be used to selectively filter and download the data represented in the Historic Environment Viewer. The instructions for using this tool in the Historic Environment Viewer are detailed in the associated Help file: https://www.archaeology.ie/sites/default/files/media/pdf/HEV_UserGuide_v01.pdf...

The global satellite remote sensing software market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise figures for market size and CAGR aren't provided, considering the technological advancements and applications in agriculture (precision farming, crop monitoring), water conservancy (flood management, irrigation optimization), forest management (deforestation monitoring, resource assessment), and the public sector (urban planning, disaster response), a conservative estimate places the 2025 market size at approximately $2 billion. This figure reflects the substantial investments in satellite imagery acquisition and analysis capabilities worldwide. The market is further fueled by the rising adoption of cloud-based solutions, enhancing accessibility and scalability of software platforms. Trends such as the integration of AI and machine learning for automated image processing, the proliferation of high-resolution satellite imagery, and the increasing availability of open-source software are accelerating market expansion. However, factors such as the high cost of specialized software licenses and the need for skilled professionals to operate the sophisticated systems act as restraints. The market is segmented by application (agriculture, water conservancy, forest management, public sector, others) and software type (open-source, non-open-source). The North American and European markets currently hold significant shares, but the Asia-Pacific region is witnessing rapid growth due to increasing infrastructure development and government initiatives promoting geospatial technologies. This dynamic market landscape presents lucrative opportunities for both established players and emerging companies in the years to come. The forecast period (2025-2033) anticipates continued growth, with a projected CAGR of approximately 12%, driven by the aforementioned technological advancements and broadening applications across various industry verticals. The competitive landscape is comprised of both major players like ESRI, Trimble, and PCI Geomatica, offering comprehensive suites of software, and smaller, specialized companies focusing on niche applications or open-source solutions. The market is characterized by both proprietary and open-source software options. Open-source solutions like QGIS and GRASS GIS offer cost-effective alternatives, particularly for research and smaller organizations, while commercial solutions provide advanced functionalities and support. The increasing availability of cloud-based solutions is blurring the lines between these segments, with hybrid models emerging that combine the benefits of both. Future growth will be significantly influenced by collaborations between software providers and satellite imagery providers, fostering a more integrated ecosystem and streamlining the data acquisition and processing workflow. The market will continue to benefit from advancements in satellite technology, producing higher-resolution, more frequent, and more affordable imagery.

The spatial analysis software market is experiencing robust growth, driven by increasing adoption across diverse sectors. The market's value is estimated at $5 billion in 2025, demonstrating significant expansion from its historical period (2019-2024). A Compound Annual Growth Rate (CAGR) of 15% is projected from 2025 to 2033, indicating a substantial market expansion to an estimated $15 billion by 2033. Key drivers include the rising need for location intelligence in business decision-making, the increasing availability of geospatial data, and advancements in cloud computing and artificial intelligence (AI) that enhance spatial analysis capabilities. Furthermore, the integration of spatial analysis with other technologies, such as big data analytics and machine learning, is fostering innovation and expanding applications across various industries. The market is segmented by application (e.g., urban planning, environmental monitoring, transportation logistics) and by software type (e.g., GIS software, remote sensing software, spatial statistics software). Leading companies are continuously investing in research and development, leading to the emergence of more sophisticated and user-friendly solutions. Market restraints include the high cost of software licenses and implementation, the complexity of using advanced spatial analysis tools, and the shortage of skilled professionals capable of effectively leveraging these technologies. However, the expanding availability of open-source spatial analysis tools and online training programs is gradually mitigating these barriers. The regional breakdown shows strong growth across North America and Europe, fueled by significant technological advancements and substantial public and private sector investments. The Asia-Pacific region is also poised for significant expansion, driven by rapid urbanization and economic growth. The consistent growth across different segments and regions ensures long-term market stability and offers significant opportunities for both established players and new entrants. The continued convergence of spatial analysis with other technologies will remain a central theme, driving innovation and unlocking further value across numerous sectors.

The remote sensing software market is experiencing robust growth, driven by increasing demand for geospatial data across various sectors. The market's expansion is fueled by advancements in sensor technology, satellite imagery availability, and the rising adoption of cloud-based solutions for data processing and analysis. Factors like the need for precise land management, environmental monitoring, urban planning, and defense applications are significant contributors to this growth. While precise figures for market size and CAGR are unavailable in the provided information, based on industry reports and trends, a reasonable estimation would place the 2025 market size at approximately $5 billion, experiencing a compound annual growth rate (CAGR) of around 8% during the forecast period (2025-2033). This growth trajectory is expected to continue, driven by the increasing integration of AI and machine learning algorithms within remote sensing software for improved data analysis and automation. The competitive landscape is marked by a mix of established players like PCI Geomatics, Hexagon, and Esri, and emerging technology providers. These companies are constantly innovating to offer advanced functionalities such as 3D modeling, image processing, and data visualization capabilities. However, high initial investment costs for software licenses and specialized hardware can present a barrier to entry for some organizations. Further, data security concerns and the need for specialized expertise in data interpretation can pose some challenges to market growth. Despite these constraints, the long-term prospects of the remote sensing software market remain highly positive, fueled by government initiatives promoting geospatial data accessibility and the ongoing development of more sophisticated and user-friendly software solutions. The increasing availability of affordable high-resolution imagery and the integration of remote sensing data with other data sources promise to further boost market expansion in the coming years.

This Archaeological Survey of Ireland dataset is published from the database of the National Monuments Service Sites and Monuments Record (SMR). This dataset also can be viewed and interrogated through the online Historic Environment Viewer: https://heritagedata.maps.arcgis.com/apps/webappviewer/index.html?id=0c9eb9575b544081b0d296436d8f60f8 A Sites and Monuments Record (SMR) was issued for all counties in the State between 1984 and 1992. The SMR is a manual containing a numbered list of certain and possible monuments accompanied by 6-inch Ordnance Survey maps (at a reduced scale). The SMR formed the basis for issuing the Record of Monuments and Places (RMP) - the statutory list of recorded monuments established under Section 12 of the National Monuments (Amendment) Act 1994. The RMP was issued for each county between 1995 and 1998 in a similar format to the existing SMR. The RMP differs from the earlier lists in that, as defined in the Act, only monuments with known locations or places where there are believed to be monuments are included. The large Archaeological Survey of Ireland archive and supporting database are managed by the National Monuments Service and the records are continually updated and supplemented as additional monuments are discovered. On the Historic Environment viewer an area around each monument has been shaded, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes. This data has been released for download as Open Data under the DPER Open Data Strategy and is licensed for re-use under the Creative Commons Attribution 4.0 International licence. http://creativecommons.org/licenses/by/4.0 Please note that the centre point of each record is not indicative of the geographic extent of the monument. The existing point centroids were digitised relative to the OSI 6-inch mapping and the move from this older IG-referenced series to the larger-scale ITM mapping will necessitate revisions. The accuracy of the derived ITM co-ordinates is limited to the OS 6-inch scale and errors may ensue should the user apply the co-ordinates to larger scale maps. Records that do not refer to 'monuments' are designated 'Redundant record' and are retained in the archive as they may relate to features that were once considered to be monuments but which on investigation proved otherwise. Redundant records may also refer to duplicate records or errors in the data structure of the Archaeological Survey of Ireland. This dataset is provided for re-use in a number of ways and the technical options are outlined below. For a live and current view of the data, please use the web services or the data extract tool in the Historic Environment Viewer. The National Monuments Service also provide an Open Data snapshot of its national dataset in CSV as a bulk data download. Users should consult the National Monument Service website https://www.archaeology.ie/ for further information and guidance on the National Monument Act(s) and the legal significance of this dataset. Open Data Bulk Data Downloads (version date: 23/08/2023) The Sites and Monuments Record (SMR) is provided as a national download in Comma Separated Value (CSV) format. This format can be easily integrated into a number of software clients for re-use and analysis. The Longitude and Latitude coordinates are also provided to aid its re-use in web mapping systems, however, the ITM easting/northings coordinates should be quoted for official purposes. ERSI Shapefiles of the SMR points and SMRZone polygons are also available The SMRZones represent an area around each monument, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes. GIS Web Service APIs (live views): For users with access to GIS software please note that the Archaeological Survey of Ireland data is also available spatial data web services. By accessing and consuming the web service users are deemed to have accepted the Terms and Conditions. The web services are available at the URL endpoints advertised below: SMR; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMROpenData/FeatureServer SMRZone; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMRZoneOpenData/FeatureServer Historic Environment Viewer - Query Tool The "Query" tool can alternatively be used to selectively filter and download the data represented in the Historic Environment Viewer. The instructions for using this tool in the Historic Environment Viewer are detailed in the associated Help file: https://www.archaeology.ie/sites/default/files/media/pdf/HEV_UserGuide_v01.pdf

For the automated workflows, we create Jupyter notebooks for each state. In these workflows, GIS processing to merge, extract and project GeoTIFF data was the most important process. For this process, we used ArcPy which is a python package to perform geographic data analysis, data conversion, and data management in ArcGIS (Toms, 2015). After creating state-scale LSS datasets in GeoTIFF format, we convert GeoTIFF to NetCDF using xarray and rioxarray Python packages. Xarray is a Python package to work with multi-dimensional arrays and rioxarray is rasterio xarray extension. Rasterio is a Python library to read and write GeoTIFF and other raster formats. We used xarray to manipulate data type and add metadata in NetCDF file and rioxarray to save GeoTIFF to NetCDF format. Through these procedures, we created three composite HyddroShare resources to share state-scale LSS datasets. Due to the limitation of ArcGIS Pro license which is a commercial GIS software, we developed this Jupyter notebook on Windows OS.

This dataset represents all current City of Bend business registrations. Registrations are generated using address point data from the time of submission combined with licensing information derived from City of Bend permitting software. Please note data is updated nightly and subject to change as applications are received and reviewed.*Sensitive information has been removed from all publicly shared data. Field Name Description

OBJECTID For internal use.

GNMasterProjectID For internal use.

GNCommonID For internal use.

LC_RecordID For internal use.

BusinessNumber The tracking number for this business entity in the City of Bend licensing system.

BusinessName The name of the business submitted by the applicant

BusinessTypeCode The business registration type code.

BusinessTypeDesc The business registration type description.

BusinessStatusCode The business entity status code.

BusinessStatusDesc The business entity status description.

BusinessLocation The business address submitted by the applicant

LicenseNumber The tracking number used to refer to the current year's business registration in CityView.

LicenseStatusCode The status code for the current year's business registration.

LicenseStatusDesc The status description for the current year's business registration.

LicenseExpirationDate The expiration date for the current year's business registration.

ClassCode1 NAICS (North American Industry Classification System) classification codes describing the type of good or services provided by the business

ClassCode2 NAICS (North American Industry Classification System) classification codes describing the type of good or services provided by the business

ClassCode3 NAICS (North American Industry Classification System) classification codes describing the type of good or services provided by the business

ClassCode4 NAICS (North American Industry Classification System) classification codes describing the type of good or services provided by the business

ClassDescription1 NAICS (North American Industry Classification System) classification descriptions describing the type of good or services provided by the business

ClassDescription2 NAICS (North American Industry Classification System) classification descriptions describing the type of good or services provided by the business

ClassDescription3 NAICS (North American Industry Classification System) classification descriptions describing the type of good or services provided by the business

ClassDescription4 NAICS (North American Industry Classification System) classification descriptions describing the type of good or services provided by the business

BR_MailingAddress* The business contacts mailing address submitted by the applicant

BR_MailingCity* The business contact mailing city submitted by the applicant

BR_MailingState* The business contact mailing state submitted by the applicant

BR_MailingZip* The business contact mailing zip code submitted by the applicant

BR_PhoneNumber* The business contact phone number submitted by the applicant

BR_STR_EmergencyPhone* The short term rental business emergency contact phone number submitted by the applicant

BR_BusinessOpenDate The business opening date submitted by the applicant.

BR_NonProfit Identifier for non-profit business entities

BR_HomeBased* Identifier for home based businesses

BR_BusinessEmail* The business email contact submitted by the applicant

STR_Type* The short term rental classification type.

STR_LandUseNumber* The short term rental land use approval number.

STR_LandUseApprovalDate* The short term rental land use approval date.

LecacyID For internal use.

LOCID For internal use.

SITEADDID For internal use.

TAXLOT The tax lot for the license (Please note if a license includes multiple tax lots, only one is visible in this field).

DoingBizInBend For internal use.

Location_Finaled For internal use.

GlobalID For internal use.

CREATEDATE For internal use.

CREATEBY For internal use.

LASTUPDATE For internal use.

UPDATEDBY For internal use.

InfoStatus For internal use.

OverallStatus For internal use.

The global satellite remote sensing software market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise figures for market size and CAGR aren't provided, a reasonable estimate based on industry reports and the stated study period (2019-2033) suggests a current market valuation (2025) in the range of $3-5 billion USD. This significant market size is fueled by several key factors. The agricultural sector relies heavily on remote sensing for precision farming, crop monitoring, and yield prediction, significantly contributing to market expansion. Similarly, the water conservancy and forest management sectors utilize satellite imagery and software for resource monitoring, disaster management, and sustainable practices. Government agencies and the public sector increasingly adopt these technologies for urban planning, environmental monitoring, and national security applications. The market's growth is further enhanced by advancements in open-source software, offering cost-effective alternatives and promoting wider adoption. Trends such as cloud-based solutions, improved data processing capabilities, and the integration of artificial intelligence are further accelerating market growth. However, the market faces certain constraints. High initial investment costs for software licenses and specialized hardware can act as a barrier for entry, particularly for smaller businesses and organizations in developing regions. Data security concerns and the need for skilled professionals to interpret the complex data generated also pose challenges. Despite these obstacles, the ongoing development of user-friendly interfaces, coupled with decreasing hardware costs and increasing availability of cloud-based services, is predicted to mitigate these restraints and sustain a healthy compound annual growth rate (CAGR) in the range of 8-12% throughout the forecast period (2025-2033). Segmentation by application (Agriculture, Water Conservancy, Forest Management, Public Sector, Others) and software type (Open Source, Non-Open Source) reveals distinct market dynamics, with the non-open source segment currently holding a larger share due to its advanced capabilities. This trend is expected to continue, though the open-source segment will show considerable growth driven by its affordability and accessibility.

There are nine major classes of liquor licenses in the City of Chicago, the most common being Tavern, Package Goods and Incidental - Consumption on Premises. These categories were established to help the City identify and regulate the various types of establishments serving alcoholic beverages. They are described at the following link: http://bit.ly/P0Gn4c. The Chicago City Council has passed a series of ordinances restricting the issuance of liquor licenses in various locations throughout the City in sections 4-60-022 and 4-60-023 of the Municipal Code. In general, consumption on premises liquor licenses are affected by the 022 moratorium and Package Goods are affected by the 023 moratorium. However, moratoriums can be complicated, so determining whether or not a moratorium applies to a specific license application is not always straightforward. Users of the data should contact the Department of Business Affairs and Consumer Protection if they have any questions. These GIS layers show the locations of moratoriums passed by the City Council. It is updated monthly if any restrictions have been added or deleted. Columns are as follows: • CODE refers to the specific ordinance passed by City County. If there are more than one, they are connected by an underscore. They are in the format ww.nnn where ww is the ward number and nnn is a sequential number. • ST_SDE refers to which side of the street the ordinance refers to. • CREADATE is the date that the ordinance was input into the digital system, usually within a week after passed by City Council. Dates before 2003 do not relect the actual date passed. To view or use these shapefiles, compression software, such as 7-Zip, and special GIS software, such as ESRI ArcGIS or QGIS, are required. To download this file, right-click the "Download" link above and choose "Save link as."

The global satellite remote sensing software market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise market size figures for 2025 aren't provided, considering a plausible CAGR of 10% (a conservative estimate given the technological advancements and expanding applications) and an assumed 2024 market size of $2 billion, we can project a 2025 market valuation of approximately $2.2 billion. This expansion is fueled by several key factors. Firstly, the agricultural sector is leveraging satellite imagery for precision farming, crop monitoring, and yield prediction, significantly enhancing efficiency and productivity. Secondly, advancements in water resource management are heavily reliant on remote sensing data for efficient irrigation and flood control. Furthermore, forest management and conservation efforts utilize this technology for deforestation monitoring and biodiversity assessment. The public sector, including government agencies and research institutions, is also a major consumer, relying on these tools for environmental monitoring, disaster response, and urban planning. The market is segmented by software type (open-source and non-open-source) and application, with non-open-source solutions currently commanding a larger share due to their advanced features and robust support. Growth is further propelled by continuous technological innovation leading to more sophisticated analytics capabilities and easier data accessibility. However, certain restraints hinder market expansion. High initial investment costs for software licenses and hardware can pose a significant barrier, particularly for smaller organizations. Furthermore, the need for specialized expertise to interpret and analyze the complex satellite data can limit widespread adoption. Data security and privacy concerns related to sensitive geographic information are also emerging challenges. Despite these limitations, the long-term outlook for the satellite remote sensing software market remains positive, fueled by ongoing technological advancements, increased government investments in space-based technologies, and the growing recognition of its importance in various sectors. The market is expected to continue its growth trajectory, creating opportunities for established players and new entrants alike. The diverse range of applications and continued integration with other technologies like AI and machine learning will significantly shape the future landscape of this market.

NOTE: This dataset is historical-only. No new tavern licenses can be issued to any location that is within 400 feet of existing businesses already licensed for the sale of alcoholic liquor in certain zoning districts. Measurements are made from the property line and exclude streets, alleys, and public ways. This prohibition does not apply to restaurants, hotels offering restaurant services, or not-for-profit clubs. There are nine major classes of liquor licenses in the City of Chicago, the most common being Tavern, Package Goods and Incidental - Consumption on Premises. These categories were established to help the City identify and regulate the various types of establishments serving alcoholic beverages. They are described at the following link: http://bit.ly/P0Gn4c. The Chicago City Council has passed a series of ordinances restricting the issuance of liquor licenses in various locations throughout the City in sections 4-60-022 and 4-60-023 of the Municipal Code. In general, consumption on premises liquor licenses are affected by the 022 moratorium and Package Goods are affected by the 023 moratorium. However, moratoriums can be complicated, so determining whether or not a moratorium applies to a specific license application is not always straightforward. Users of the data should contact the Department of Business Affairs and Consumer Protection if they have any questions. These GIS layers show the locations of moratoriums passed by the City Council. It is updated monthly if any restrictions have been added or deleted. Columns are as follows: • CODE refers to the specific ordinance passed by City County. If there are more than one, they are connected by an underscore. They are in the format ww.nnn where ww is the ward number and nnn is a sequential number. • ST_SDE refers to which side of the street the ordinance refers to. • CREADATE is the date that the ordinance was input into the digital system, usually within a week after passed by City Council. Dates before 2003 do not relect the actual date passed. To view or use these shapefiles, compression software, such as 7-Zip, and special GIS software, such as ESRI ArcGIS or QGIS, are required. To download this file, right-click the "Download" link above and choose "Save link as."

Zoning district boundaries by type and classification. Chicago is divided into zoning districts that regulate land use activities across the city. Data is based on the Chicago Zoning Ordinance and Land Use Ordinance http://bit.ly/9eqawi. Zoning Types are defined in this ordinance. To view or use these files, compression software and special GIS software, such as ESRI ArcGIS, is required. For additional information about business uses, review the License/Zoning Reference (LZR) Guide http://bit.ly/vvGzne, which is based on the Municipal Code and is intended to assist business owners in determining the proper zoning district and primary business license for specific business types. Update Frequency: Data is updated monthly. Related Applications: Zoning Map https://gisapps.cityofchicago.org/zoning/