Localities, PSAPs, GIS staff, contractors, and PDCs across the commonwealth are working to prepare and maintain GIS data for 9-1-1 as they go live and maintain data for Next Generation 9-1-1, asking questions like:- How do I get access to the EGDMS system?- What happens if my PSAP boundary goes outside my provisioning boundary?- How will my ESNs work in the new environment? - Do I need Law, Fire, and EMS Emergency Service Boundary layers?- What addressing processes and best practices help me maintain GIS address points at 9-1-1 quality standards?- How will the new National Spatial Reference System (NSRS) datums affect NG9-1-1?- What are some good strategies for automating my data preparation and load process?- How often should I complete maintenance uploads to NG9-1-1 once my PSAP is live?- How does MSAG and ALI maintenance change after my PSAP is live and how long will it stay this way?- What are NENA standards work groups working on relating to GIS?- Is there any new action from the FCC regarding location, accuracy, and call delivery?- What makes a good address? In other words, questions about:- How will this work?- How do we...?- What do I do with...?The 9-1-1 & Geospatial Services Bureau hosts live "user group" discussion and Q&A sessions on webex once a month where we will answer questions like these that have come in and questions you come up with. Rather than a presentation or document, we see the benefit of discussing your examples, situations, and scenarios in a group environment so all involved can move forward with confidence. Save up your questions or send them ahead of time to matt.gerike@vdem.virginia.gov and join the conversation.If you have a specific situation, be ready to share your screen!Important: If you have a pressing question that is holding you up, let us know as well so we get you a response rather than holding it.Upcoming SessionsWednesday, Jan 8, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 12, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Mar 12, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, May 14, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, June 11, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 13, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Sep 10, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Nov 12, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 10, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)An .ics file for the second Wednesday of the month at 2pm eastern for 2025 as a reminder to check the "Upcoming GIS Events" on the VGIN home page for meeting status is available here.Meeting number: 2427 017 6961Password: NG911GIShttps://covaconf.webex.com/covaconf/j.php?MTID=m67d2925543948e8c900c8a43af815ee1Join by video systemDial 1712410808@covaconf.webex.comYou can also dial 173.243.2.68 and enter your meeting number.Join by phone+1-517-466-2023 US Toll+1-866-692-4530 US Toll FreeAccess code: 2427 017 6961 Past SessionsWednesday, Jul 29, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 12, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 26, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, September 9, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, September 23, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Oct 14, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Tuesday Nov 10, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 9, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jan 13, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 10, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Mar 10, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Apr 14, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, May 12, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jun 9, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, July 14, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 11,2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada) Wednesday, Sep 8, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Oct 13, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Nov 10, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 8, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jan 12, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 9, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Mar 9, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)VAMLIS meeting Wednesday March 30, 2022Canceled: Wednesday, Apr 13, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, May 11, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, June 8, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, July 13, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 10, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Sept 14, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Oct 12, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Nov 9, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 14, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jan 11, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 8, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Mar 8, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Apr 12, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, May 10, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jun 14, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, July 12, 2023 due to the VGIN Advisory Board MeetingWednesday, Aug 9, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Sep 13, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Oct 11, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Nov 8, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 13, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jan 10, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 14, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Apr 10, 2024 due to the VGIN Advisory Board MeetingWednesday, May 8, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jun 12, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Jul 10, 2024 due to the VGIN Advisory Board MeetingWednesday, Aug 14, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Sep 11, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Oct 9, 2024 due to the VGIN Advisory Board meetingWednesday, Nov 13, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Dec 11, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)

Financial overview and grant giving statistics of Northwest Gis User Group Inc.

Community Residences Application is used locate other potential Group Home residences within a 1/4 mile and a 1/2 mile buffer of the selected parcel(s).

The GIS USERS OF NORTHERN OHIO is one of the nation's longest running geospatial user groups. We have been meeting since the early 1990's, roughly six times a year. Before Covid-19, we met at the Canalway Centerlocated in the Cleveland Metroparks' Ohio & Erie Canal Reservation. Starting at 1:00 enjoy coffee, snacks and networking. Presentations kickoff at 1:30. The day of the week is rotated so as to not exclude anyone due to their particular scheduling needs. Our longevity is due in part to the informal structure we ascribe to. No dues, minutes or reservations required. Just show up, sign in and learn!

There are many useful strategies for preparing GIS data for Next Generation 9-1-1. One step of preparation is making sure that all of the required fields exist (and sometimes populated) before loading into the system. While some localities add needed fields to their local data, others use an extract, transform, and load process to transform their local data into a Next Generation 9-1-1 GIS data model, and still others may do a combination of both.There are several strategies and considerations when loading data into a Next Generation 9-1-1 GIS data model. The best place to start is using a GIS data model schema template, or an empty file with the needed data layout to which you can append your data. Here are some resources to help you out. 1) The National Emergency Number Association (NENA) has a GIS template available on the Next Generation 9-1-1 GIS Data Model Page.2) The NENA GIS Data Model template uses a WGS84 coordinate system and pre-builds many domains. The slides from the Virginia NG9-1-1 User Group meeting in May 2021 explain these elements and offer some tips and suggestions for working with them. There are also some tips on using field calculator. Click the "open" button at the top right of this screen or here to view this information.3) VGIN adapted the NENA GIS Data Model into versions for Virginia State Plane North and Virginia State Plane South, as Virginia recommends uploading in your local coordinates and having the upload tools consistently transform your data to the WGS84 (4326) parameters required by the Next Generation 9-1-1 system. These customized versions only include the Site Structure Address Point and Street Centerlines feature classes. Address Point domains are set for address number, state, and country. Street Centerline domains are set for address ranges, parity, one way, state, and country. 4) A sample extract, transform, and load (ETL) for NG9-1-1 Upload script is available here.Additional resources and recommendations on GIS related topics are available on the VGIN 9-1-1 & GIS page.

The GIS shapefile and summary tables provide irrigated agricultural land-use for Hendry and Palm Beach Counties, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field verified for 2019, crop type, irrigation system type, and primary water source used in Hendry and Palm Beach Counties, Florida. A map image of the shapefile is provided in the attachment.

The Geographic Information System (GIS) market is experiencing robust growth, driven by increasing adoption across diverse sectors. The market, estimated at $25 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a Compound Annual Growth Rate (CAGR) of approximately 8%. Key drivers include the rising demand for location-based services, the increasing use of GIS in urban planning and smart city initiatives, and the proliferation of readily available geospatial data. Furthermore, advancements in cloud computing, artificial intelligence, and big data analytics are enhancing GIS capabilities, leading to wider applications in environmental monitoring, disaster management, and precision agriculture. The government and utilities sector remains a dominant market segment, followed by the business sector, which is rapidly adopting GIS solutions for operational efficiency and strategic decision-making. Android-based GIS systems are currently the most prevalent, reflecting the widespread use of Android devices, although iOS and Windows-based systems maintain significant market shares. Competitive landscape analysis reveals key players such as Environmental Systems Research Institute (Esri), Hexagon, Pitney Bowes, and SuperMap actively innovating and expanding their market presence through strategic partnerships and technological advancements. Regional variations in market growth are expected, with North America and Europe maintaining leading positions due to high technological adoption rates and robust economies. However, Asia-Pacific is projected to witness the fastest growth in the coming years, driven by rapid urbanization, economic development, and increasing government investments in infrastructure projects. Restraints to market growth include the high initial investment costs associated with implementing GIS solutions and the need for specialized technical expertise. Nevertheless, the long-term benefits of GIS, encompassing improved efficiency, better decision-making, and enhanced resource management, are expected to overcome these barriers, resulting in sustained market expansion throughout the forecast period. The continuous development of user-friendly GIS software and services is further expected to fuel broader adoption across diverse user groups.

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The GIS market share in EMEA is expected to increase to USD 2.01 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 8.23%.

This EMEA GIS market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers GIS market in EMEA segmentation by:

Component - Software, data, and services
End-user - Government, utilities, military, telecommunication, and others

What will the GIS Market Size in EMEA be During the Forecast Period?

Download the Free Report Sample to Unlock the GIS Market Size in EMEA for the Forecast Period and Other Important Statistics

The EMEA GIS market report also offers information on several market vendors, including arxiT SA, Autodesk Inc., Bentley Systems Inc., Cimtex International, CNIM SA, Computer Aided Development Corp. Ltd., Environmental Systems Research Institute Inc., Fugro NV, General Electric Co., HERE Global BV, Hexagon AB, Hi-Target, Mapbox Inc., Maxar Technologies Inc., Pitney Bowes Inc., PSI Services LLC, Rolta India Ltd., SNC Lavalin Group Inc., SuperMap Software Co. Ltd., Takor Group Ltd., and Trimble Inc. among others.

GIS Market in EMEA: Key Drivers, Trends, and Challenges

The integration of BIM and GIS is notably driving the GIS market growth in EMEA, although factors such as data viability and risk of intrusion may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the GIS industry in EMEA. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key GIS Market Driver in EMEA

One of the key factors driving the geographic information system (GIS) market growth in EMEA is the integration of BIM and GIS. A GIS adds value to BIM by visualizing and analyzing the data with regard to the buildings and surrounding features, such as environmental and demographic information. BIM data and workflows include information regarding sensors and the placement of devices in IoT-connected networks. For instance, Dubai's Civil Defense Department has integrated GIS data with its automatic fire surveillance system. This information is provided in a matter of seconds on the building monitoring systems of the Civil Defense Department. Furthermore, location-based services offered by GIS providers help generate huge volumes of data from stationary and moving devices and enable users to perform real-time spatial analytics and derive useful geographic insights from it. Owing to the advantages associated with the integration of BIM with GIS solutions, the demand for GIS solutions is expected to increase during the forecast period.

Key GIS Market Challenge in EMEA

One of the key challenges to the is the GIS market growth in EMEA is the data viability and risk of intrusion. Hackers can hack into these systems with malicious intentions and manipulate the data, which could have destructive or negative repercussions. Such hacking of data could cause nationwide chaos. For instance, if a hacker manipulated the traffic management database, massive traffic jams and accidents could result. If a hacker obtained access to the database of a national disaster management organization and manipulated the data to create a false disaster situation, it could lead to a panic situation. Therefore, the security infrastructure accompanying the implementation of GIS software solutions must be robust. Such security threats may impede market growth in the coming years.

Key GIS Market Trend in EMEA

Integration of augmented reality (AR) and GIS is one of the key geographic information system market trends in EMEA that is expected to impact the industry positively in the forecast period. AR apps could provide GIS content to professional end-users and aid them in making decisions on-site, using advanced and reliable information available on their mobile devices and smartphones. For instance, when the user simply points the camera of the phone at the ground, the application will be able to show the user the location and orientation of water pipes and electric cables that are concealed underground. Organizations such as the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) are seeking investments and are open to sponsors for an upcoming AR pilot project, which seeks to advance the standards of AR technology at both respective organizations. Such factors will further support the market growth in the coming years.

This GIS market in EMEA analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth st

This polygon layer contains the boundaries of the 80 block groups in the City of Cambridge for the 2000 US Census.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription FIPSSTCO type: Stringwidth: 5precision: 0 Federal Information Processing Standards Code for state and county (MA=25; Middlesex County=017)

BLKGRPS_ID type: Stringwidth: 7precision: 0 Concatenation of TRACT and GROUP Ids. ID in active use by Census Bureau.

SHAPE type: Stringwidth: 6precision: 0 Feature geometry.

GROUP_ type: Stringwidth: 12precision: 0 Block group number

Shape type: Doublewidth: 0precision: 0 Feature geometry.

STFID type: Doublewidth: 0precision: 0 Unique Block Group ID, Concatenation of FIPSSTCO, TRACT, and GROUP IDs

GIS in the age of community health (Learn ArcGIS Path). Arm yourself with hands-on skills and knowledge of how GIS tools can analyze health data and better understand diseases.

The global market for GIS Collectors is experiencing robust growth, driven by increasing adoption of location-based services across various sectors. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors, including the rising need for precise geospatial data in urban planning, infrastructure development, environmental monitoring, and precision agriculture. Advancements in data acquisition technologies, such as improved GPS accuracy and the integration of sensors like LiDAR and hyperspectral imaging, are further boosting market expansion. The increasing availability of affordable and user-friendly GIS software and cloud-based solutions is also contributing to wider adoption across diverse user groups, from professional surveyors to citizen scientists. The competitive landscape is characterized by a mix of established players and emerging technology providers. Major companies like Hexagon, Trimble Geospatial, ESRI, Topcon, and Handheld are leveraging their existing market presence and technological expertise to expand their product portfolios and cater to evolving customer needs. Meanwhile, companies from regions like China, such as Wuhan South, are emerging as significant players, particularly in the provision of cost-effective solutions. While the market faces some restraints, such as the initial investment costs associated with GIS technology and the need for skilled professionals, the overall growth trajectory remains strongly positive, indicating considerable potential for continued market expansion throughout the forecast period. The increasing focus on data security and privacy regulations will also influence market trends, particularly regarding data storage and transmission. This comprehensive report provides an in-depth analysis of the global GIS Collectors market, projected to reach $5 billion by 2028. It delves into market concentration, key trends, dominant regions, product insights, and future growth catalysts, offering valuable insights for stakeholders across the geospatial technology sector. The report utilizes rigorous data analysis and industry expertise to provide actionable intelligence for informed decision-making.

Under the direction and funding of the National Cooperative Geologic Mapping Program (NCGMP) with guidance and encouragement from the United States Geological Survey (USGS), there has been a decadal strategic plan in place to call for geologic mapping across the nation. This call has been increasing the need for digital data that has not yet been made available. With such a demand, physical data is being re-released as vector-based, GIS operable data, which is viable as a corporate asset to the USGS. This collection of reports is part of the compilation and synthesis efforts hampered by the distributed nature of subsurface investigations at the USGS and a general lack of cataloging and archiving of 3-D geological models and subsurface products. Subsurface mapping activities are decentralized and the results are released on a project-by-project basis. This has led to repeats in data being created, thus wasting both time and energy of the end users. Having a clear understanding of what data is available for GIS use is paramount in the mapping groups. As digital collections of data continue, data releases like this will not be uncommon. This release features structure contour, isopach, and thickness data of stratigraphic units as well as chronostratigraphy. Units included in this release span from North Dakota to as far south as New Mexico and are as follows: San Andres Limestone, Glorieta Sandstone, Leadville Limestone, Cutler Group, Morrison Formation, Colorado Shale, Fox Hills Sandstone, Goose Egg Formation, Minnelusa Formation, Mowry Shale, Pierre Shale, Sundance Formation Unconformity, Wasatch Formation, Permian age units, Trout Creek Sandstone, Castlegate Sandstone, Exshaw or Kinderhook Black Shale, San Juan Volcanics, Lewis Shale, Almond Formation, Baxter Shale, Dakota Sandstone, Cretaceous Onlap, and Tensleep Sandstone.

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The cloud gis market size will grow up to $ 690.39 mn at a CAGR of 14% during 2021-2025.

This cloud gis market analysis report entails exhaustive statistical qualitative and quantitative data on End-user (Government, Public safety, Transportation, Business, and Others) and Geography (North America, APAC, Europe, MEA, and South America) and their contribution to the target market. View our sample report to gather market insights on the segmentations. Furthermore, with the latest key findings on the post COVID-19 impact on the market, available in this report, you can create successful business strategies to generate new sales opportunities.

What will the Cloud GIS Market Size be in 2021?

Browse TOC and LoE with selected illustrations and example pages of Cloud GIS Market

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Cloud GIS Market: Key Drivers and Trends

According to our research output, there has been a neutral impact on the market growth post COVID-19 era. Key drivers such as the rising popularity of cloud gis due to ease in data accessibility are notably supporting the cloud gis market growth. On the other hand, factors such as threat of security have been identified as market challenges that limit the growth of market vendors. This report offers detailed insights on the challenges to stay prepared for the obstacles in the future, which will help companies analyze and develop growth strategies.

This post-pandemic cloud gis market report has assessed the shift in consumer behavior and identified trends and drivers that will help market players outmaneuver challenges. Technology innovations, implementation, and improvisation scope identified in the cloud gis market trends is essential for building new business opportunities across segmentations and geographies.

Who are the Major Cloud GIS Market Vendors?

The cloud gis market forecast report provides insights on complete key vendor profiles and their business strategies to reimage themselves. The profiles covered in the report are as follows:

AmigoCloud Inc. Blue Marble Geographics Caliper Corp. Computer Aided Development Corp. Ltd. Environmental Systems Research Institute Inc. GIS Cloud Ltd. HERE Global BV Hexagon AB Mapbox Inc. Pitney Bowes Inc.

The cloud gis market is fragmented and the vendors are deploying various organic and inorganic growth strategies to compete in the market. Click here to uncover other successful business strategies deployed by the vendors.

Furthermore, our research experts have outlined the magnitude of the economic impact on each segment and recovery expectations post pandemic. To recover from post COVID-19 impact, market vendors should create strategies to grab business opportunities from the fast-growing segments, while refining their scope of growth in the slow-growing ones.

For insights on complete key vendor profiles, download a free sample of the cloud gis market forecast report. The profiles include information on the production, sustainability, and prospects of the leading companies. The report's vendor landscape section also provides industry risk assessment in terms of labor cost, raw material price fluctuation, and other parameters, which is crucial for effective business planning.

Which are the Key Regions for Cloud GIS Market?

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The cloud gis market size, share, & trends analysis report offers an up-to-date study of the geographical composition of the market. 40% of the market’s growth will originate from North America during the forecast period. US, China, Japan, Germany, and Canada are the key markets for cloud gis market in North America.

North America has been recording significant growth rate and is expected to offer several growth opportunities to market vendors during the forecast period. Easy distribution of data has been identified as one of the chief factors that will drive the cloud gis market growth in North America over the forecast period. To garner further competitive intelligence and regional opportunities in store for vendors, view our sample report.

What are the Revenue-generating End-user Segments in the Cloud GIS Market?

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The cloud gis market share growth by the _ segment has been significant. The cloud gis market report provides comprehensive understanding of the subsegments of the target market to identify niche customer groups and demographic requirements. Furthermore, the report provides insights on the impact of COVID-19 on market segments, which can be used to deduce transformation patterns in consumer behavior in the coming years and improvise business plans.

This report provides an accurate prediction of the contribution of all the segments to the growth of the cloud gis market size

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.

Welcome to NCAR's GIS Program Climate Change Scenarios GIS data portal. This portal is intended to serve a community of GIS users interested in climate change. The free datasets of climate change projections can be downloaded as a shapefile, a text file, or as an image.

Crime data assembled by census block group for the MSA from the Applied Geographic Solutions' (AGS) 1999 and 2005 'CrimeRisk' databases distributed by the Tetrad Computer Applications Inc. CrimeRisk is the result of an extensive analysis of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, CrimeRisk provides an accurate view of the relative risk of specific crime types at the block group level. Data from 1990 - 1996,1999, and 2004-2005 were used to compute the attributes, please refer to the 'Supplemental Information' section of the metadata for more details. Attributes are available for two categories of crimes, personal crimes and property crimes, along with total and personal crime indices. Attributes for personal crimes include murder, rape, robbery, and assault. Attributes for property crimes include burglary, larceny, and mother vehicle theft. 12 block groups have no attribute information. CrimeRisk is a block group and higher level geographic database consisting of a series of standardized indexes for a range of serious crimes against both persons and property. It is derived from an extensive analysis of several years of crime reports from the vast majority of law enforcement jurisdictions nationwide. The crimes included in the database are the "Part I" crimes and include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. These categories are the primary reporting categories used by the FBI in its Uniform Crime Report (UCR), with the exception of Arson, for which data is very inconsistently reported at the jurisdictional level. Part II crimes are not reported in the detail databases and are generally available only for selected areas or at high levels of geography. In accordance with the reporting procedures using in the UCR reports, aggregate indexes have been prepared for personal and property crimes separately, as well as a total index. While this provides a useful measure of the relative "overall" crime rate in an area, it must be recognized that these are unweighted indexes, in that a murder is weighted no more heavily than a purse snatching in the computation. For this reason, caution is advised when using any of the aggregate index values. The block group boundaries used in the dataset come from TeleAtlas's (formerly GDT) Dynamap data, and are consistent with all other block group boundaries in the BES geodatabase.

   This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.


   The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.


   The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.


   Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.


   This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.


   The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.


   The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.


   Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

This data collection uses a Geographic Information System (GIS) to organize and characterize information about benthic communities and substrates, which are ecological environments of the sea floor. The communities in this data collection include coral, seagrass, bare bottom, hard bottom, tidal flat, saltmarsh, and halophila communities. This coverage shows benthic distributions of various organisms for the benthic communities of the Florida Panhandle during the time period between 1970 and 1985.

The Digital Geologic-GIS Map of Chickamauga and Chattanooga National Military Park and Vicinity, Georgia and Tennessee is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (chch_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (chch_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (chch_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (chch_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chch_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (chch_geology_metadata_faq.pdf). Please read the chch_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: University of Tennessee, Tectonics and Structural Geology Research Group and Tennessee Division of Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (chch_geology_metadata.txt or chch_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Virginia NG9-1-1 GIS Recommendations document addresses different aspects of data preparation, workflow, and attribution for Virginia localities. This is version is the entire document.The GIS component of Virginia's NG9-1-1 deployments is moving in waves, with new groups of localities starting the onboarding process every three months. Well into our third wave, new resources and recommendations on GIS related topics are now available at VGIN 9-1-1 & GIS. This is available as a large combined document, Next Generation 9-1-1 GIS Recommendations. However since some information is more useful for localities earlier in their project and other information more useful later, we are also posting each section as its own document. The parts include:1) Boundaries in Next Generation 9-1-12) Preparing Your Data and Provisioning into EGDMS3) Outsourced GIS Data Maintenance and NG9-1-14) Emergency Service Boundary Layers5) Attribution6) What's NextSome of the parts are technical that reflect choices and options to make with boundary lines, or specific recommendations on how to create globally unique IDs or format display name fields. In these areas, we hope to share recommendations from Intrado and point users to specific portions of the NENA GIS Data Model Standard for examples. Version 1.1 of the GIS Recommendations is now available.Version 1.0 may be accessed here.