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Global GIS Market is Segmented by Component (Hardware and Software), Function (Mapping, Surveying, Telematics and Navigation, Location-based Services), End User (Agriculture, Utilities, and Mining, among others), and Geography (North America, Europe, Asia-Pacific, and Rest of the World). The market size and forecasts are provided in terms of value (in USD million) for all the above segments.

Volunteered geographic information and citizen science have advanced academic and public understanding of geographical and ecological processes. Videos hosted online represent a large data source that could potentially provide meaningful results for studies in physical geography—a concept we term volunteered geographic videos (VGV). Technological advances in image-capturing devices, computing, and image processing have resulted in increasingly sophisticated methods that treat imagery as raw data, such as resolving high-resolution topography with structure from motion or the calculation of surface flow velocity in rivers with particle image velocimetry. The ubiquitous nature of recording devices and citizens who share imagery online have resulted in a vast archive of potentially useful online videos. This article analyzes the potential for using YouTube videos for research in physical geography. We discuss the combination of suitability and availability that has made this possible and emphasize the distinction between moderately suitable imagery that can directly answer research questions and lower suitability imagery that can indirectly support a study. We present example case studies that address (1) initial considerations of using VGV, (2) topographic data extraction from a video taken after a landslide, and (3) data extraction from a video of a flash flood that could support a study of extreme floods and wood transport. Finally, we discuss both the benefits and complicating factors associated with VGV. The results indicate that VGV could be used to support certain studies in physical geography and that this large repository of raw data has been underutilized.

• Report Overview
• Driving factors
• Restraining Factors
• Component Analysis
• Function Analysis
• Device Type Analysis
• Key Market Segments
• Growth Opportunity
• Latest Trends
• Regional Analysis
• Key Players Analysis
• Recent Development
• Report Scope

Report OverviewGeographic Information System (GIS) Market

size is expected to be worth around USD 34.9 Bn by 2032 from USD 10.7 Bn in 2022, growing at a CAGR of 12.9% during the forecast period from 2023 to 2032.GIS, or Geographic Information System, is a useful tool for gaining a comprehensive comprehension of a given region by integrating diverse data types, such as maps, satellite imagery, and demographic data. Its primary objective is to improve decision-making processes and provide users with insightful knowledge. Whether it pertains to urban planning, environmental management, or disaster response, GIS provides a robust toolkit for effectively analyzing and managing geospatial data.The significance and advantages of GIS are numerous. First, it facilitates enhanced resource management and planning. GIS facilitates the identification of optimal locations for diverse projects, such as the construction of new roadways or the establishment of public services, by superimposing multiple layers of information, such as infrastructure, environmental factors, and population density.Moreover, GIS is indispensable for disaster management and emergency response. It provides real-time data on affected areas and potential hazards, enabling authorities to allocate resources effectively and respond swiftly to disasters. Monitoring changes in land use, land cover, and natural resources, this technology also facilitates environmental monitoring. In turn, this aids conservation efforts and the promotion of sustainable development.Integration of Augmented Reality (AR) technology is an intriguing development in the GIS industry. AR-enabled GIS applications enable users to superimpose digital information on the physical world, resulting in an immersive experience. For instance, augmented reality-enabled GIS can help visitors navigate cities by displaying points of interest and historical data directly on their smartphone screens.Given the growing demand for GIS services, the industry has made substantial investments. Companies understand the value of integrating GIS into their products and services to obtain a competitive advantage. GIS is incorporated into navigation systems in the automotive industry, for example, to provide real-time traffic updates and optimized routing. Utilizing GIS, the retail sector analyzes customer demographics and optimizes store locations.

Driving factors

Demand for Spatial Data Analysis and Visualization Is Growing

The Geographic Information System (GIS) market is heavily dependent on spatial data analysis and visualization. With the increasing availability of data from multiple sources and the need to make well-informed decisions based on location-specific data, the demand for spatial data analysis and visualization has increased exponentially.In today's data-driven society, organizations from a variety of industries are beginning to recognize the importance of spatial data analysis and visualization. Utilizing geographic data, this technology enables them to obtain valuable insights and make data-driven decisions. By analyzing data in the context of its spatial relationships, businesses can identify patterns, trends, and correlations that might not be discernible using conventional data analysis techniques.

Smart City and Urban Planning Initiatives Expand

The rapid expansion of smart city and urban planning initiatives is one of the main forces propelling the Geographic Information Systems (GIS) Market. Governments and city planners are turning to GIS to collect, analyze, and visualize geospatial data for effective urban planning in light of the increasing urbanization and the need for sustainable development.GIS technologies allow city planners to identify locations suitable for infrastructure development, optimize resource allocation, analyze transportation networks, and prepare for disaster management. Using spatial data analysis and visualization, city officials can make informed decisions regarding land use, transportation routes, and public service provision, leading to better resource allocation and an enhanced quality of life for residents.

Technological Advances in Satellite Imaging and Mapping

The use of satellite imaging and other technologies to collect and analyze data has revolutionized how we view the world. With the availability of high-resolution satellite imagery, organizations have access to precise and current data regarding the Earth's surface.Satellite imaging enables the collection of vast quantities of geospatial data, which can then be combined with data from other sources to produce exhaustive GIS databases. This data can be used to analyze changes in land use, monitor environmental conditions, trace urban development, and even evaluate the effects of natural disasters.

Restraining Factors

Potential Difficulties in Data Accuracy and Integration

Accurate data is essential for any GIS implementation because it serves as the basis for making decisions. Nevertheless, ensuring the accuracy of geographic data can be a difficult endeavor. Data may originate from a variety of sources, each with its own data quality standards, resulting in the potential for inconsistencies or errors when integrating the data into a GIS. Inaccurate or insufficient data can result in erroneous analysis, which undermines the credibility and efficacy of GIS applications.Organizations must employ robust data validation and integration procedures to address data quality issues. This entails establishing data quality checks, such as consistency checks, ensuring data conforms to predefined data models, and resolving any conflicts or inconsistencies that may arise.

Potential Limitations in Data Interoperability

The ability of various systems and platforms to interchange and utilize data without interruption is referred to as data interoperability. However, due to varying data formats, standards, and protocols, it can be difficult to achieve seamless data interoperability. Organizations may face obstacles such as incompatible data formats, disparate data schemas, and translation and transformation difficulties between different GIS systems.To overcome these limitations, Open Geospatial Consortium (OGC) standards and other industry standards can facilitate interoperability between GIS platforms. Implementing software tools and frameworks that support data conversion and transformation can also assist in standardizing and bridging the gap between various GIS systems, thereby ensuring efficient data exchange and analysis.

Component Analysis

The geographic information system (GIS) market is a rapidly expanding industry with multiple segments competing for dominance. The Services Segment holds the largest market share among these segments. This dominance can be attributed to several factors, including the growing demand for innovative mapping and geographic analysis solutions.The economic growth of emerging societies has had a significant impact on the adoption of the Services Segment. As these economies continue to urbanize and develop, the need for efficient and effective GIS solutions becomes paramount. Organizations in these regions are recognizing the value of GIS services in addressing diverse challenges, including infrastructure planning, disaster management, and environmental monitoring.The dominance of the Services Segment is also influenced by consumer trends and behavior. Consumers increasingly rely on location-based services for navigation, social media, and other applications as the use of smartphones and mobile devices grows in popularity. This has increased the demand for GIS services that can provide accurate and up-to-date spatial data.

Function Analysis

In the world of GIS, the

Public Open Space Geographic Information System data collection for Perth and Peel Metropolitan Areas

The public open space (POS) dataset contains polygon boundaries of areas defined as publicly available and open. This geographic information system (GIS) dataset was collected in 2011/2012 using ArcGIS software and aerial photography dated from 2010-2011. The data was collected across the Perth Metro and Peel Region.

POS refer to all land reserved for the provision of green space and natural environments (e.g. parks, reserves, bushland) that is freely accessible and intended for use for recreation purposes (active or passive) by the general public. Four types of “green and natural public open spaces” are distinguished: (1) Park; (2) Natural or Conservation Area; (3) School Grounds; and (4) Residual. Areas where the public are not permitted except on payment or which are available to limited and selected numbers by membership (e.g. golf courses and sports centre facilities) or setbacks and buffers required by legislation are not included.

Initially, potential POSs were identified from a combination of existing geographic information system (GIS) spatial data layers to create a generalized representation of ‘green space’ throughout the Perth metropolitan and Peel regions. Base data layers include: cadastral polygons, metropolitan and regional planning scheme polygons, school point locations, and reserve vesting polygons. The ‘green’ space layer was then visually updated and edited to represent the true boundaries of each POS using 2010-2011 aerial photography within the ArcGIS software environment. Each resulting ’green’ polygon was then classified using a decision tree into one of four possible categories: park, natural or conservation area, school grounds, or residual green space.

Following the classification process, amenity and other information about each POS was collected for polygons classified as “Park” following a protocol developed at the Centre for the Built Environment and Health (CBEH) called POSDAT (Public Open Space Desktop Auditing Tool). The parks were audited using aerial photography visualized using ArcGIS software. . The presence or absence of amenities such as sporting facilities (e.g. tennis courts, soccer fields, skate parks etc) were audited as well as information on the environmental quality (i.e. presence of water, adjacency to bushland, shade along paths, etc), recreational amenities (e.g. presence of BBQ’, café or kiosks, public access toilets) and information on selected features related to personal safety.

The data is stored in an ArcGIS File Geodatabase Feature Class (size 4MB) and has restricted access.

Data creation methodology, data definitions, and links to publications based on this data, accompany the dataset.

The Airports Geographic Information System maintains the airport and aeronautical data required to meet the demands of the Next Generation National Airspace System. Guided by the program advisory circulars, the airport sponsor/proponent becomes a key link in the airport and aeronautical information chain. Through a single internet based web application the airport can access its data along with the ability to submit changes as required. The changes are processed according to defined business rules ensuring that the required FAA office making the changes is notified.

Direct Link to Download Page: https://data2.nhgis.org/mainDOWNLOAD U.S. CENSUS DATA TABLES & MAPPING FILESThe National Historical Geographic Information System (NHGIS) provides easy access to summary tables and time series of population, housing, agriculture, and economic data, along with GIS-compatible boundary files, for years from 1790 through the present and for all levels of U.S. census geography, including states, counties, tracts, and blocks. Read more.WHAT IS IPUMS?IPUMS provides census and survey data from around the world integrated across time and space. IPUMS integration and documentation makes it easy to study change, conduct comparative research, merge information across data types, and analyze individuals within family and community context. Data and services are available free of charge. Learn more about IPUMS.

According to the latest research report by IMARC Group, the GCC geographic information system (GIS) market reached a value of US$ 591.9 Million in 2022. By 2028, it will reach a value of US$ 1,383.4 Million, growing at a CAGR of 15.1% (2023-2028).

Residual biomass is a renewable resource with attractive characteristics to produce energy and biofuels. Diverse studies have stated that residual biomass used for biofuels and energy production can contribute partially to solve the energy demand problem, decreasing fossil fuels carbon emissions. Most works have focused on developing new technologies, processes, and processing systems based on biomass. Other works have addressed the supply chain-planning problem to determine optimal locations considering diverse objectives. A third group of works have proposed schemes based on Geographic Information Systems (GIS) to determine suitable locations in different types of systems. Nevertheless, works capable to combine the advantage of GIS, mathematical programming, and process design have not been properly conducted. Therefore, this paper presents a sequential approach for the optimal planning of a residual biomass processing system. The methodology considers selecting potential locations through a multicriteria methodology based on GIS. Also, this paper proposes a mathematical programming approach for the optimal planning of a residual biomass processing system, which considers as input the locations predefined by GIS methodology, as well as six potential products, six processing routes, and eight raw materials. The mathematical programming approach consists of mass balances to obtain the interconnections between the different supply chain nodes, as well as constraints to model the considered technologies involving capital investment and production costs. The GIS approach was applied to a case study in Mexico, which produced 764 harvesting sites and 334 processing plants for all considered residual biomass types. The optimization approach conducted used 33 processing plants, 467 harvesting sites, and 2 products from 3 biomass types in order to determine the final supply chain topology. Results show that the proposed methodology is a useful tool to determine the optimal supply chain topology during the decision process.

The National Historical Geographic Information System (NHGIS) provides easy access to summary tables and time series of population, housing, agriculture, and economic data, along with GIS-compatible boundary files, for years from 1790 through the present and for all levels of U.S. census geography, including states, counties, tracts, and blocks.

The Geographic Management Information System (GeoMIS) is a FISMA Moderate minor application built using ArcGIS Server and portal, Microsoft SQL, and a web-facing front-end. The system can be accessed over the internet via https://www.usaidgiswbg.com using a web browser. GeoMIS is based on a commercial off-the-shelf product developed by Esri. Esri is creates geographic information system (GIS) software, web GIS and geodatabase management applications and is based in California. GeoMISIt is maintained by an Israeli company, Systematics (see Attachment 3) which is EsriI's agent in Israel. The mission has an annual maintenance contract with Systematics for GeoMIS. GeoMIS has 100 users from USAID staff (USA Direct Hire and Foreign Service Nationals) and 200 users from USAID contractors and grantees. The system is installed at USAID WBG office in Tel Aviv/Israel inside the computer room in the DMZ. It has no interconnections with any other system.

This report provides a comprehensive yet simple guide to the construction and use of a Geographic Information System (GIS) for collating, analysing, updating and managing data in wildlife management or research projects. The spatial analysis of yellow-eyed penguin (hoiho, Megadyptes antipodes) nest site data from Boulder Beach. Otago Peninsula, is used as an example. The report describes the key components used in the construction of the GIS, which included aerial photography, a digital elevation model and habitat map of the study area, and nest site data collected at Boulder Beach between 1982 and 1996. The procedures for estimating the geographic locations of nest sites using historical hand-drawn sketch maps are also described, demonstrating the potential for incorporating and analysing historical datasets in this type of GIS. The resulting GIS was used to conduct simple spatial analyses of some of the characteristics of yellow-eyed penguin nesting habitat selection, as well as the densities of nest sites in each type of nesting habitat at Boulder Beach. The sources of error, uncertainty and other limitations of this and other GIS arc described, along with procedures and steps to minimise and avoid them. The yellow-eyed penguin GIS described in this report provides an example of the potential utility of GIS in ecological research and management of both yellow-eyed penguins and many other species.Available onlineCall Number: [EL]Physical Description: 34 p.

The mission of GIS in Lenexa is to establish a foundation of geographic information to support community decision-making. As a result, the geographic data in the GIS system represents features in the community and are not intended to convey legal boundaries of any kind. Therefore, the data submission guidelines in this document are intended to improve the process in maintaining the digital database of geographic information for the City of Lenexa.In addition, the following guidelines will also limit human error when updating the City's GIS and improve the workflow of information sharing. This act assists City staff in its services to our community to achieve our Mission - To provide exceptional service through a team of dedicated professionals working in partnership with the community.Therefore, the City of Lenexa requires GIS or CAD data of the plan submittal’s site plan sheet to be submitted in digital format and a metadata file describing the data submission. The digital data submissions accompany the official document submittal process for the project.Thus, the intent for this policy is to allow Lenexa’s GIS to be as current and accurate as possible. Consequently, this accuracy is needed for emergency services, and day to day operations by all departments within the City. To this extent, providing the required information from this policy in a digital format will allow faster and more accurate updates to GIS layers.

This is the historic impact factors of Geographic Information Science & Technology Body of Knowledge computed for each year in CSV format. The first column shows the exaly JournalID for mixing this table with those of other journals

Geographic Information Software (GIS) in Agriculture market is anticipated to grow at a CAGR of 10% during 2020-25 forecast says MarkNtel Advisors.

Basic geographic information system, global positioning system and remote sensing training, Mineral Resources Department, Fiji, 2-6 April 2009

These data sets were created as part of The Center for International Development’s ongoing research into the role of geography in economic development (see www.cid.harvard.edu/economic.htm). They have been created between 1998 and 1999.

Geographic Information System GIS Market Report 2024, Market Size, Share, Growth, CAGR, Forecast, Revenue, list of Geographic Information System GIS Companies (Trimble Inc, SPATIALWORKS SDN BHD, Geosoft Co Ltd, Environmental Systems Research Institute Inc (ESRI Inc), Caliper Corporation, Topcon Positioning Systems Inc, Pitney Bowes Inc, Hexagon AB, Bentley Systems, Autodesk Inc, Others), Market Segmented by End User (Agriculture, Oil & Gas, Architecture, Engineering Construction, Transportation, Utilities, Mining, Government, Healthcare, Retail, Others (Marine, Education and Forestry)), by Offering (Hardware, Software, Services)

The files include: (1) The detailed attributes of 346 volunteered geographic information (VGI)-related articles published in 24 international refereed journals in GIScience between 20 November 2007 and 20 November 2017. (2) The Python codes for performing the latent Dirichlet allocation (LDA) topic modeling, which can be used to classify the articles into a given number of topics based on their abstracts.

The data and codes support the findings of our article entitled ‘Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience’.