The global GIS Consulting Service market is expected to reach 1637 million by 2023, growing at a CAGR of 15% during the forecast period. Geospatial data analytics, predictive modeling, and situational awareness are key drivers of the market growth. The rising adoption of GIS in various industries, such as transportation, agriculture, energy, and government, is contributing to the market's expansion. The market is segmented based on type, application, and region. By type, the market is divided into custom mapping services, GIS mapping software development, and others. The custom mapping services segment is expected to hold the largest share of the market due to the increasing demand for customized maps for specific purposes. By application, the market is segmented into transportation, agriculture, energy, and others. The transportation segment is expected to witness the highest growth rate due to the growing use of GIS in traffic management, route optimization, and logistics. By region, the market is divided into North America, South America, Europe, Middle East & Africa, and Asia Pacific. North America is expected to hold the largest share of the market due to the presence of key players and the early adoption of GIS technology. Asia Pacific is expected to experience the highest growth rate due to the increasing infrastructure development and urbanization in the region.

Providing user-friendly interfaces in your applications is crucial for increasing task completion and user satisfaction. This can be particularly important for geospatial applications, as these may include a high degree of complexity or may be used by the public or non-GIS professionals. This workshop will introduce you to ArcGIS Experience Builder, a new development platform from Esri that allows you to build custom Web apps for desktop and mobile devices using a drag-and-drop interface. You will learn how to develop an app using Experience Builder’s layout and widget options, as well as some best practices for integrating Experience Builder into a larger user-interface design process and optimizing your app’s interface for greater usability.

Areus Development is a company that specializes in software research and development, with a strong presence in Romania. The company has a diverse range of expertise, including GIS software development, custom software development, mobile application development, and more. With a team of experienced developers, Areus Development can help clients design and develop complex software solutions, from mobile apps to enterprise-level systems.

From biotech software research and development to penetration testing services, Areus Development offers a wide range of solutions to clients across various industries. The company's portfolio includes projects such as Rave Guardian, Envicorr, and Motus, which have been implemented under European grants. Areus Development's team is committed to providing high-quality development services and operations support, leveraging their expertise in infrastructure management and IT operations to help clients manage their workload and reduce costs.

The City of Frederick GIS Department maintains a number of interactive web mapping applications for use by both City employees and citizens collectively known as SpiresGIS. These applications allow users to find specific information such as property zoning and plat information as well as print custom paper maps.These mapping applications were developed using ESRI's Javascript Application Programming Interface in conjunction with ESRI's ArcServer. More applications are under development, and will be listed on this page in the near future.

Crowdsource Manager is a configurable group app template that can be used for triaging crowd sourced data across multiple layers and maps as it is collected using applications such as Crowdsource Reporter or Collector. Using Crowdsource Manager, these reports can be reviewed and attributes such as assignment and status can be updated. Attachments and comments associated with each report are also accessible.Use CasesCrowdsource Manager can be configured for reviewing any crowd sourced information, including data collected through Crowdsource Reporter configurations such as these:citizen service requestshealth and safety reportscitizen science reportsdrone imagery reviewreviewing real estate property listingsConfigurable OptionsConfigure Crowdsource Manager to present a group of maps with editable layers, and personalize the app by modifying the following options: Display a custom title and logo in the application headerChoose a color schemeUse the map pop-up settings to specify which fields should be visible and which should be editableSupported DevicesThis application is responsively designed to support use in browsers on desktops and tablets..Data RequirementsCrowdsource Manager requires an ArcGIS Online group that contains at least one map with at least one editable feature layer.This web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a group and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.Learn MoreFor release notes and more information on configuring this app, see the Crowdsource Manager documentation.

GIS Controller Market Outlook

The GIS Controller market size was valued at $8.3 billion in 2023 and is projected to reach $15.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.2% during the forecast period. This significant growth factor can be attributed primarily to increasing urbanization, the rising need for efficient spatial data management, and technological advancements in geospatial analytics.

One of the prime growth factors driving the GIS Controller market is the escalating demand for smart city solutions. As urbanization continues to rise globally, governments and municipalities are increasingly investing in smart city initiatives to improve urban planning, public safety, and resource management. GIS controllers play a crucial role in these initiatives by providing accurate spatial data, which is essential for efficient infrastructure development, traffic management, and environmental monitoring. Furthermore, the integration of GIS with other technologies such as IoT and AI is opening new avenues for real-time data analysis and decision-making, further propelling market growth.

The agriculture sector is another significant contributor to the growth of the GIS Controller market. Precision farming techniques that leverage GIS technology are gaining traction for their ability to enhance crop yield and optimize resource usage. By providing detailed insights into soil conditions, weather patterns, and crop health, GIS controllers enable farmers to make data-driven decisions, thereby improving operational efficiency and reducing costs. Additionally, government initiatives aimed at promoting sustainable farming practices are further fueling the adoption of GIS technology in the agricultural sector.

Disaster management is another critical application area where GIS controllers are making a substantial impact. The increasing frequency of natural disasters such as hurricanes, floods, and earthquakes necessitates advanced planning and real-time response capabilities. GIS controllers help in mapping disaster-prone areas, predicting the impact of natural calamities, and coordinating emergency response efforts. This capability is invaluable for minimizing damage and saving lives. The growing focus on disaster preparedness and management is expected to drive the demand for GIS controllers in the coming years.

Regionally, North America holds a significant share of the GIS Controller market, driven by the high adoption rate of advanced technologies and substantial investments in smart city projects. The Asia Pacific region is expected to witness the highest growth rate, fueled by rapid urbanization, infrastructural development, and increasing government initiatives for digital transformation. Europe also presents substantial growth opportunities due to the rising focus on environmental sustainability and smart transportation systems.

Component Analysis

The GIS Controller market is segmented into three primary components: Hardware, Software, and Services. The hardware segment includes devices and equipment necessary for capturing and processing geospatial data, such as GPS units, sensors, and data collection devices. This segment is witnessing steady growth due to the increasing need for advanced and accurate data collection tools. The integration of AI and IoT with GIS hardware is further enhancing the capabilities of these devices, making them indispensable for various applications such as urban planning, agriculture, and disaster management.

In terms of software, GIS Controllers are equipped with specialized software for data analysis, mapping, and modeling. This segment is experiencing rapid growth due to the increasing demand for sophisticated analytical tools that can handle large datasets and provide real-time insights. Advanced GIS software solutions are being developed to offer more user-friendly interfaces and better integration with other enterprise systems, thereby enhancing their usability and effectiveness across different sectors. The rise of cloud-based GIS software is also contributing to the growth of this segment by offering scalable and cost-effective solutions.

The services segment comprises consultancy, implementation, and maintenance services essential for the effective deployment and utilization of GIS Controllers. As organizations increasingly adopt GIS technology, the demand for specialized services that can ensure smooth integration and optimal performance is rising. Professional services providers are offering customized solutions to meet the specific needs of different industries

Custom Digital Map Service Market Outlook

The global custom digital map service market size was valued at USD 3.2 billion in 2023 and is projected to reach USD 8.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% from 2024 to 2032. This growth is driven by the increasing demand for advanced and personalized mapping solutions across various industries such as urban planning, transportation, and environmental monitoring, among others.

The growth of the custom digital map service market is primarily fueled by the rapid advancements in geographic information system (GIS) technologies and the increasing integration of these systems with other advanced technologies such as artificial intelligence (AI) and the Internet of Things (IoT). These integrations facilitate the creation of highly accurate and tailored mapping solutions that cater to specific needs of different sectors. Additionally, the rising adoption of smart city initiatives and the need for efficient urban planning are contributing significantly to the market expansion. Governments and municipal bodies are increasingly leveraging these mapping services to optimize resource allocation and enhance urban infrastructure.

Another critical factor driving market growth is the booming transportation and logistics sector, which relies heavily on precise and up-to-date maps for route optimization, fleet management, and real-time navigation. The substantial growth in e-commerce and the subsequent rise in delivery services have necessitated accurate mapping solutions to ensure timely and efficient deliveries. Moreover, the increasing deployment of autonomous vehicles is expected to further augment the demand for high-precision digital maps, as these vehicles rely on detailed mapping data for navigation and obstacle detection.

The environmental monitoring segment is also witnessing significant growth, driven by the rising need for effective environmental management and sustainability practices. Custom digital maps are being extensively used for tracking environmental changes, monitoring natural resources, and managing disaster response operations. The ability to create and update maps in real-time allows for better decision-making and proactive measures in mitigating environmental challenges. Additionally, the growing awareness about climate change and the need for sustainable development are likely to boost the demand for such services.

Regionally, North America is expected to hold the largest market share during the forecast period, attributed to the early adoption of advanced technologies and the presence of major market players in the region. The Asia Pacific region is anticipated to witness the highest growth rate, driven by rapid urbanization, increasing investments in smart city projects, and the growing need for efficient transportation and logistics solutions. Europe is also expected to see significant growth, supported by stringent environmental regulations and a strong focus on sustainability initiatives.

Professional Map Services are becoming increasingly vital in the custom digital map service market, as they offer specialized expertise and solutions tailored to meet the specific needs of various industries. These services encompass a wide range of offerings, from detailed map creation and updates to seamless integration with existing systems. By leveraging professional map services, businesses and organizations can ensure that their mapping solutions are not only accurate and up-to-date but also aligned with their strategic objectives. This professional approach to mapping is particularly beneficial for sectors such as urban planning and transportation, where precision and reliability are paramount. As the demand for customized and high-quality mapping solutions continues to grow, professional map services are expected to play a crucial role in driving innovation and enhancing the overall value of digital maps.

Service Type Analysis

Map Creation

Map creation is a crucial segment of the custom digital map service market, encompassing the design and development of detailed and accurate maps tailored to specific user needs. This segment is driven by the increasing demand for high-resolution and customized maps that cater to various applications such as urban planning, navigation, and environmental monitoring. The advancement in GIS technologies and the integration of AI and IoT have enabled the creation of more sophisticated

The 3D GIS Platform market is experiencing robust growth, driven by increasing demand for spatially accurate data visualization and analysis across diverse sectors. The integration of 3D GIS into smart city initiatives, particularly in smart campuses, emergency command centers, and smart security systems, is a key factor propelling market expansion. Furthermore, the rising adoption of cloud-based 3D GIS solutions is enhancing accessibility and scalability, lowering barriers to entry for organizations of all sizes. While the precise market size for 2025 is unavailable, based on industry reports indicating substantial growth in adjacent geospatial technologies and a projected Compound Annual Growth Rate (CAGR), a reasonable estimate for the 2025 market size would be $2.5 billion. This figure reflects a healthy growth trajectory, considering the expanding applications of 3D GIS in various sectors. The market's segmentation reveals a strong presence of established players like Esri and Supermap alongside emerging regional technology providers, creating a competitive but dynamic market landscape. The North American and Asia-Pacific regions are expected to dominate the market due to substantial investments in infrastructure development and technological advancements. However, increasing regulatory complexities and the high initial investment costs for implementing 3D GIS solutions could pose challenges for market expansion in certain regions. Continued technological advancements, such as the integration of artificial intelligence (AI) and machine learning (ML) capabilities into 3D GIS platforms, are expected to further drive market growth. The development of more user-friendly interfaces and readily available training resources will also contribute to wider adoption across various user groups. Factors such as the rising adoption of Internet of Things (IoT) devices and the need for improved urban planning will further contribute to sustained market expansion. Competition is likely to intensify with both existing players expanding their product offerings and new entrants emerging in the market. Therefore, continuous innovation, strategic partnerships, and a focus on providing customized solutions will be crucial for success in this rapidly evolving landscape. Over the forecast period (2025-2033), the market is projected to maintain a healthy CAGR, leading to substantial market expansion.

This mobility data product provides global real-time and historical origin–destination movement patterns derived from anonymized mobile devices. The dataset captures continuous location signals to generate accurate mobility insights across countries, cities, and neighborhoods. Irys processes billions of daily mobile location data points to model population flows, commuter trends, and activity hubs.

Use this mobility data to analyze how people move between commercial zones, residential areas, and public facilities. Our geospatial data architecture enables seamless integration with map data, making it easy to overlay real-world movement on custom GIS visualizations. The dataset supports time-stamped location data, with user movement sequences, dwell time, and visit frequency.

Whether you are building transportation models, analyzing foot traffic data, or identifying high-value POIs, this mobile location data product is ideal for planners, analysts, and data teams looking to enrich their map data pipelines.

Each data point is: Sourced from high-quality, opt-in mobile signals Time- and geo-stamped to the nearest 5 minutes GDPR and CCPA compliant

This dataset is particularly useful for applications in: Smart city planning Retail site selection Public safety and infrastructure development Advertising and audience targeting Real-time congestion analysis

Our platform ensures that this mobility data is continuously updated, cleaned, and validated to maximize accuracy and location data integrity. Available via flat file or API.

Geographic Information System (GIS) Analytics Market Outlook

The global Geographic Information System (GIS) Analytics market size is projected to grow remarkably from $9.1 billion in 2023 to $21.7 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 10.2% during the forecast period. This substantial growth can be attributed to several factors such as technological advancements in GIS, increasing adoption in various industry verticals, and the rising importance of spatial data for decision-making processes.

The primary growth driver for the GIS Analytics market is the increasing need for accurate and efficient spatial data analysis to support critical decision-making processes across various industries. Governments and private sectors are investing heavily in GIS technology to enhance urban planning, disaster management, and resource allocation. With the world becoming more data-driven, the reliance on GIS for geospatial data has surged, further propelling its market growth. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) with GIS is revolutionizing the analytics capabilities, offering deeper insights and predictive analytics.

Another significant growth factor is the expanding application of GIS analytics in disaster management and emergency response. Natural disasters such as hurricanes, earthquakes, and wildfires have highlighted the importance of GIS in disaster preparedness, response, and recovery. The ability to analyze spatial data in real-time allows for quicker and more efficient allocation of resources, thus minimizing the impact of disasters. Moreover, GIS analytics plays a pivotal role in climate change studies, helping scientists and policymakers understand and mitigate the adverse effects of climate change.

The transportation sector is also a major contributor to the growth of the GIS Analytics market. With the rapid urbanization and increasing traffic congestion in cities, there is a growing demand for effective transport management solutions. GIS analytics helps in route optimization, traffic management, and infrastructure development, thereby enhancing the overall efficiency of transportation systems. The integration of GIS with Internet of Things (IoT) devices and sensors is further enhancing the capabilities of traffic management systems, contributing to the market growth.

Regionally, North America is the largest market for GIS analytics, driven by the high adoption rate of advanced technologies and significant investment in geospatial infrastructure by both public and private sectors. The Asia Pacific region is expected to witness the highest growth rate during the forecast period due to the rapid urbanization, infrastructural developments, and increasing government initiatives for smart city projects. Europe and Latin America are also contributing significantly to the market growth owing to the increasing use of GIS in urban planning and environmental monitoring.

Component Analysis

The GIS Analytics market can be segmented by component into software, hardware, and services. The software segment holds the largest market share due to the continuous advancements in GIS software solutions that offer enhanced functionalities such as data visualization, spatial analysis, and predictive modeling. The increasing adoption of cloud-based GIS software solutions, which offer scalable and cost-effective options, is further driving the growth of this segment. Additionally, open-source GIS software is gaining popularity, providing more accessible and customizable options for users.

The hardware segment includes GIS data collection devices such as GPS units, remote sensing instruments, and other data acquisition tools. This segment is witnessing steady growth due to the increasing demand for high-precision GIS data collection equipment. Technological advancements in hardware, such as the development of LiDAR and drones for spatial data collection, are significantly enhancing the capabilities of GIS analytics. Additionally, the integration of mobile GIS devices is facilitating real-time data collection, contributing to the growth of the hardware segment.

The services segment encompasses consulting, implementation, training, and maintenance services. This segment is expected to grow at a significant pace due to the increasing demand for professional services to manage and optimize GIS systems. Organizations are seeking expert consultants to help them leverage GIS analytics for strategic decision-making and operational efficiency. Additionally, the growing complexity o

Use the 3D Viewer template to showcase your scene with default 3D navigation tools, including zoom controls, pan, rotate, and compass. Include a locator map and bookmarks to provide context to your scene and guide app viewers to points of interest. Line of sight, measure, and slice tools allow viewers to interpret 3D data. Set the option to disable scrolling in the app to seamlessly embed this app in another app or site. Examples: Present a detailed 3D view of a mountainous region at a large scale while the 2D inset map provides context of where you are in the world. Display a 3D plan for new urban development that app viewers can explore with slice and measurement tools. Allow users to visualize the impact of shadows on a scene using daylight animation. Data requirements The 3D Viewer template requires a web scene. Key app capabilities 3D navigation and Compass tool - Allow app users to pan or rotate the scene and orient their view to north. Locator map - Display an inset map with the app's map area in the context of a broader area. Line of sight - Visualize whether one or multiple targets are visible from an observer point. Measurement tools - Provide tools that measure distance and area and find and convert coordinates. Slice - Excludes specific layers to change the view of a scene. Bookmarks - Provide a collection of preset extents that are saved in the scene to which users can navigate the map. Disable scroll - Prevent the map from zooming when app users scroll Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

This layer provides generalized boundaries for the 50 States and the District of Columbia, developed by Esri from US Census Bureau public domain sources and updated as boundaries change.Attribute fields include 2020 total population from the US Census PL94 data.This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.

Alaska Regional Development Organizations (ARDORs), their contact information, and their Comprehensive Economic Development Strategies (CEDS).The mission of the ARDORs Program is to encourage the formation of regional development organizations to prepare and implement regional development strategies (Alaska Statute 44.33.896). Through regional development strategies, local knowledge, and coordinated implementation, ARDORs champion economic development planning for Alaska’s regions and communities by leveraging baseline support provided by the State of Alaska. ARDORs develop customized work plans that contain goals, objectives, and strategies for addressing regional economic development needs including:

Facilitating development of a healthy regional economy that results in sustainable business growth, new business investment, and economic diversification.Identifying and working to eliminate regional economic development barriers. Developing and implementing a comprehensive economic development strategy. Coordinating regional planning efforts that result in new employment and business opportunities. Working to enable multiple communities to collaborate and pool limited resources. Strengthening partnerships with public, private, and non-government organizations. Providing technical assistance to encourage business startup, retention, and expansion.Source: Alaska Department of Commerce, Community & Economic Development

The 10KV-33KV Gas Insulated Switchgear (GIS) market is experiencing robust growth, driven by the increasing demand for reliable and efficient power transmission and distribution infrastructure globally. The market's expansion is fueled by several key factors, including the rising adoption of renewable energy sources, the modernization of aging power grids, and stringent regulations aimed at improving grid reliability and safety. Growth is particularly strong in developing economies experiencing rapid urbanization and industrialization, leading to increased electricity demand. Technological advancements, such as the development of compact and more efficient GIS designs, are also contributing to market expansion. While the initial investment in GIS technology can be higher compared to traditional air-insulated switchgear, the long-term benefits, including reduced maintenance costs and improved operational efficiency, are driving adoption. Competition within the market is intense, with major players like Siemens, Hitachi ABB Power Grids, and Schneider Electric dominating the landscape. However, several regional players are emerging, offering competitive pricing and customized solutions. The market is segmented based on application (power generation, transmission, and distribution) and type (single busbar, double busbar, and others). While challenges exist, such as potential supply chain disruptions and fluctuating raw material prices, the long-term outlook for the 10KV-33KV GIS market remains positive, with consistent growth expected throughout the forecast period. The market is expected to witness a steady CAGR (let's assume a conservative 7% based on industry trends), resulting in significant market expansion over the next decade. Regional growth varies, with developed markets in North America and Europe showing steady growth driven by grid upgrades, while developing economies in Asia-Pacific and the Middle East & Africa are experiencing more rapid expansion due to increased infrastructure development. The focus on smart grids and digitalization within the power sector is further driving innovation and creating opportunities for new technological advancements in GIS. This includes the integration of digital sensors and remote monitoring capabilities, enhancing grid management and predictive maintenance. The market will likely continue to see consolidation, with larger players acquiring smaller companies to gain a competitive edge and expand their market share. The emphasis on environmental sustainability is also influencing the market, with manufacturers focusing on eco-friendly designs and reduced environmental impact throughout the product lifecycle.

Aquatic environmental DNA (eDNA) sampling is the collection of DNA released by a target species into streams, rivers, ponds, lakes, and wetlands. Detection of stream fish with eDNA can be remarkably sensitive—100% detection efficiency of target species has been achieved despite order-of-magnitude changes in stream discharge. The eDNA samples in the eDNAtlas database describe species occurrence locations and were collected by the U.S. Forest Service and numerous agencies that have partnered with the National Genomics Center for Wildlife and Fish Conservation (NGC) throughout the United States. The data were collected for a variety of project-specific purposes that included: species status assessments, trend monitoring at one or many sites, development of predictive species distribution models, detection and tracking of non-native species invasions, and assessments of habitat restoration efforts. The eDNAtlas database consists of two feature classes. The first component (eDNAtlas_West_AGOL_ResultsOnly) is a database of georeferenced species occurrence locations based on eDNA field sampling results, which are downloadable by species through a dynamic ArcGIS Online (AGOL) mapping tool. The earliest eDNA samples in the database were collected in 2015 but new samples and results are added annually to the database, which houses thousands of species occurrence records. The second component (eDNAtlas_West_SampleGridAndResults) is a systematically-spaced 1-kilometer grid of potential sample points in streams and rivers throughout the western United States. Future versions will include the eastern United States as well. The points in the sampling grid are arrayed along the medium-resolution National Hydrography Dataset Version 2 (NHDPlusV2) and can be used to develop custom eDNA sampling strategies for many purposes. Each sample point has a unique identity code that enables efficient integration of processed eDNA sample results with the species occurrence database. The eDNAtlas is accessed via an interactive ArcGIS Online (AGOL) map that allows users to view and download sample site information and lab results of species occurrence for the U.S. The results are primarily based on samples analyzed at the National Genomics Center for Wildlife and Fish Conservation (NGC) and associated with geospatial attributes created by the Boise Spatial Streams Group (BSSG). The AGOL map displays results for all species sampled within an 8-digit USGS hydrologic unit or series of units. The map initially opens to the project extent, but allows users to zoom to areas of interest. Symbols indicate whether a field sample has been collected and processed at a specific location, and if the latter, whether the target species was present. Each flowing-water site is assigned a unique identification code in the database to ensure that it can be tracked and matched to geospatial habitat descriptors or other attributes for subsequent analyses and reports. Because no comparable database has been built for standing water, results for those sites lack this additional information but still provide data on the sample and species detected. Resources in this dataset:Resource Title: The Aquatic eDNAtlas Project: Lab Results Map - USFS RMRS. File Name: Web Page, url: https://usfs.maps.arcgis.com/apps/webappviewer/index.html?id=b496812d1a8847038687ff1328c481fa The eDNAtlas is accessed via an interactive ArcGIS Online (AGOL) map that allows users to view and download sample site information and lab results of species occurrence for the U.S. The results are primarily based on samples analyzed at the National Genomics Center for Wildlife and Fish Conservation (NGC) and associated with geospatial attributes created by the Boise Spatial Streams Group (BSSG). The AGOL map displays results for all species sampled within an 8-digit USGS hydrologic unit or series of units. The map initially opens to the project extent, but allows users to zoom to areas of interest. Symbols indicate whether a field sample has been collected and processed at a specific location, and if the latter, whether the target species was present. Each flowing-water site is assigned a unique identification code in the database to ensure that it can be tracked and matched to geospatial habitat descriptors or other attributes for subsequent analyses and reports. Because no comparable database has been built for standing water, results for those sites lack this additional information but still provide data on the sample and species detected. For details on using the map see the Aquatic eDNAtlas Project: Lab Results ArcGIS Online Map Guide.

A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county Twin Cities Metropolitan area. This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014), Multispectral derived indices, LiDAR data, LiDAR derived products, and other thematic ancillary data including the updated National Wetlands Inventory, LiDAR building footprints, airport, OpenStreetMap roads and railroads centerlines. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach to classify 12 land cover classes: Deciduous Tree Canopy, Coniferous Tree Canopy, Buildings, Bare Soil, other Paved surface, Extraction, Row Crop, Grass/Shrub, Lakes, Rivers, Emergent Wetland, Forest and Shrub Wetland.

We mapped the 12 classes by using an OBIA approach through the creation of customized rule sets for each area. We used the Cognition Network Language (CNL) within the software eCognition Developer to develop the customized rule sets. The eCognition Server was used to execute a batch and parallel processing which greatly reduced the amount of time to produce the classification. The classification results were evaluated for each area using independent stratified randomly generated points. Accuracy assessment estimators included overall accuracies, producers accuracy, users accuracy, and kappa coefficient. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of land cover classes with highly accurate results.

This research paper presents the design and development of an indigenous low cost Mobile Mapping System (MMS) for urban surveying applications. The MMS is comprised of economical Hokuyo-30LX 2D laser scanners, vision sensors, Global Positioning System (GPS) and various odometric sensors that can be installed on car like moving platform. The run time sensorial data is interfaced, processed and recorded using Robot Operating System (ROS). The live laser scan is utilized for the pose estimation using Simultaneous Localization and Mapping (SLAM) technique. In absence of valid SLAM estimation and frequent GPS outages, a multimodal sensor fusion framework for the enhanced pose correction has been developed using Kalman Filter (KF) by incorporating the Inertial Measurement Unit (IMU) and wheel odometric data along with SLAM and GPS data. The corrected pose is utilized for the 3D point cloud mapping by incorporating laser scans perceived periodically from various 2D laser scanners mounted on the MMS. The custom-made installation scheme has been followed for mounting three 2D laser scanners at horizontal, vertical and inclined orientations. The efficacy of the developed map has employed for extraction of road edges and associated road assets by establishing the lucrative classification technique of the point cloud using Split and Merge segmentation and Hough transformation. The surveying to map development time has significantly reduced and the mapping results have found quite accurate when matched with the ground truths. Furthermore, the comparison of the developed maps with ground truths and GIS tools reveals the highly acceptable accuracy of the generated results which have found very nearly aligned with the actual urban environment features. In comparison to the existing global MMS variants, the presented MMS is quite affordable solution for limited financial resourced business entities.

The Nigeria Geospatial Analytics market, valued at $80 million in 2025, is projected to experience robust growth, with a Compound Annual Growth Rate (CAGR) of 5.94% from 2025 to 2033. This expansion is driven by increasing government investments in infrastructure development, a burgeoning need for precise land management solutions within the agricultural sector, and the rising adoption of geospatial technologies across various industries like mining, real estate, and transportation. The market's segmentation reveals strong potential across diverse end-user verticals. Agricultural applications are likely to lead, followed by utility and communication, defense and intelligence, and government sectors. The increasing use of precision agriculture techniques, coupled with the need for efficient resource management, fuels this demand. Furthermore, the integration of advanced technologies like AI and machine learning within geospatial analytics platforms is expected to enhance accuracy and efficiency, fostering further market expansion. The competitive landscape showcases a mix of international giants and local players. Major players like Autodesk, Trimble, Esri, and Hexagon are leveraging their established presence and technological expertise to capture significant market share. However, local companies like Geodata Nigeria and Sambus Geospatial Services are well-positioned to capitalize on the growing demand for localized solutions and services. The market's growth trajectory suggests significant opportunities for both established firms and new entrants, but success hinges on providing customized solutions tailored to the specific needs of the Nigerian market and navigating the challenges associated with data infrastructure and technological adoption. The forecast period will see substantial growth primarily driven by the continued adoption across various sectors, increased government initiatives supporting digital transformation, and strategic partnerships between international and local players. Recent developments include: April 2023: Abuduganiyu Adebomehin, the Surveyor General of the Federation (SGoF), has praised Sambus Geospatial Nigeria Limited, a provider of solutions, for its dedication to the promotion of a producing high-quality, accurate, and real-time geographic data for Nigeria. The Office of the Surveyor General of the Federation (OSGoF) donated five copies of mapping software (ESRI Arc GIS Pro Advance with ten extensions), which the SGoF accepted in exchange for the praise.. Key drivers for this market are: Commercialization of spatial data, Increased smart city & infrastructure projects. Potential restraints include: Commercialization of spatial data, Increased smart city & infrastructure projects. Notable trends are: Commercialization of spatial data would drive the market in Nigeria.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. For a deep dive into the data model including every specific metric, see the ACS 2017-2021 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e21Estimate from 2017-21 ACS_m21Margin of Error from 2017-21 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_21Change, 2010-21 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLine (buffer)BeltLine Study (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Planning Unit STV (3 NPUs merged to a single geographic unit within City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)City of Atlanta Neighborhood Statistical Areas E02E06 (2 NSAs merged to single geographic unit within City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)SPARCC = Strong, Prosperous And Resilient Communities ChallengeState of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)WFF = Westside Future Fund (subarea of City of Atlanta)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2017-2021). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2017-2021Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://garc.maps.arcgis.com/sharing/rest/content/items/34b9adfdcc294788ba9c70bf433bd4c1/data

The agsview extension for CKAN provides view plugins designed to display Esri ArcGIS Server data directly within CKAN resources. Specifically, it enables visualization of ArcGIS Map services and Feature layer services, leveraging an Esri Leaflet Viewer for interactive display. As such, this extension enhances CKAN by providing native support for displaying commonly used geospatial data formats, increasing the usability of CKAN for geospatial data catalogs through built-in rendering capabilities when used by your organization's CKAN end users. Key Features: ArcGIS Feature Layer Viewer (agsfsview): Allows visualization of ArcGIS Feature Layers found within either MapServices or FeatureServices, offering a means by which you or your end users can expose specific layers, enabling selective display of datasets. Configuration option: ags_url: Specifies the ArcGIS Server layer endpoint, including the layer ID for targeted data access ensuring the correct layer or service is connected to your CKAN resource. Configuration option: basemapurl: Allows customization of the basemap by specifying either an Esri basemap name or a generic tile URL template, to tailor the visual context of the displayed ArcGIS data. ArcGIS MapService Viewer (agsmsview): Provides functionality to render ArcGIS MapServices, giving control over which layers within the service are displayed. Configuration option: ags_url: Defines the ArcGIS Server MapService endpoint, directing the viewer to the desired MapService resource for inclusion in your CKAN resource. Configuration option: list_ids: Enables filtering of layers within the MapService by providing a comma-delimited list of layer IDs for selective display. An empty list will display all layers, offering you flexibility in configuring the data viewed in CKAN. Configuration option: basemapurl: Permits customization of the basemap, accepting either an Esri basemap name or a generic tile URL template, ensuring flexibility in the map presentation. Configurable Default Basemap: Using your CKAN .ini configuration, you can set a default basemap for all ArcGIS views, providing consistency and improving usability. You can specify either an Esri basemap name or a tile URL template as the default. Technical Integration: The agsview extension integrates with CKAN by adding view plugins (agsfsview and agsmsview). To enable the extension, you must add the plugin names to the ckan.plugins setting in the CKAN configuration file (e.g., production.ini). After updating you CKAN file, and restarting the CKAN instance, the ArcGIS viewers become available options when creating a CKAN resource in the 'View' section assuming the resource has URLs that are supported by the viewing feature. Benefits & Impact: By implementing the agsview extension, CKAN instances can natively display ArcGIS Server MapServices and Feature Layers, eliminating the need for external viewers or custom development. This significantly enhances CKAN's utility for organizations managing and sharing geospatial data, as users can readily visualize Esri ArcGIS data directly within the CKAN interface. The configuration options further allow for customization of the display, improving the user experience.