CIMIS data is available to the public free of charge via a web Application Programming Interface (API). The CIMIS Web API delivers data over the REST protocol from an enterprise production platform. The system provides reference evapotranspiration (ETo) and weather data from the CIMIS Weather Station Network and the Spatial CIMIS System. Spatial CIMIS provides daily maps of ETo and solar radiation (Rs) data at 2-km grid by coupling remotely sensed satellite data with point measurements from the CIMIS weather stations. In summary, the data provided through the CIMIS Web API is comprised by a) Weather and ETo data registered at the CIMIS Weather Station Network (more than 150 stations located throughout the state of California and b) Spatial CIMIS System data that provides statewide ETo and solar radiation (Rs) data as well as aeraged ETo by zip-codes. The RESTful HTTP services reach a broader range of clients; including Wi-Fi aware irrigation smart controllers as well as browser and mobile applications, all while expanding the delivery options by providing data in either JSON or XML formats.

Welcome to Apiscrapy, your ultimate destination for comprehensive location-based intelligence. As an AI-driven web scraping and automation platform, Apiscrapy excels in converting raw web data into polished, ready-to-use data APIs. With a unique capability to collect Google Address Data, Google Address API, Google Location API, Google Map, and Google Location Data with 100% accuracy, we redefine possibilities in location intelligence.

Key Features:

Unparalleled Data Variety: Apiscrapy offers a diverse range of address-related datasets, including Google Address Data and Google Location Data. Whether you seek B2B address data or detailed insights for various industries, we cover it all.

Integration with Google Address API: Seamlessly integrate our datasets with the powerful Google Address API. This collaboration ensures not just accessibility but a robust combination that amplifies the precision of your location-based insights.

Business Location Precision: Experience a new level of precision in business decision-making with our address data. Apiscrapy delivers accurate and up-to-date business locations, enhancing your strategic planning and expansion efforts.

Tailored B2B Marketing: Customize your B2B marketing strategies with precision using our detailed B2B address data. Target specific geographic areas, refine your approach, and maximize the impact of your marketing efforts.

Use Cases:

Location-Based Services: Companies use Google Address Data to provide location-based services such as navigation, local search, and location-aware advertisements.

Logistics and Transportation: Logistics companies utilize Google Address Data for route optimization, fleet management, and delivery tracking.

E-commerce: Online retailers integrate address autocomplete features powered by Google Address Data to simplify the checkout process and ensure accurate delivery addresses.

Real Estate: Real estate agents and property websites leverage Google Address Data to provide accurate property listings, neighborhood information, and proximity to amenities.

Urban Planning and Development: City planners and developers utilize Google Address Data to analyze population density, traffic patterns, and infrastructure needs for urban planning and development projects.

Market Analysis: Businesses use Google Address Data for market analysis, including identifying target demographics, analyzing competitor locations, and selecting optimal locations for new stores or offices.

Geographic Information Systems (GIS): GIS professionals use Google Address Data as a foundational layer for mapping and spatial analysis in fields such as environmental science, public health, and natural resource management.

Government Services: Government agencies utilize Google Address Data for census enumeration, voter registration, tax assessment, and planning public infrastructure projects.

Tourism and Hospitality: Travel agencies, hotels, and tourism websites incorporate Google Address Data to provide location-based recommendations, itinerary planning, and booking services for travelers.

Discover the difference with Apiscrapy – where accuracy meets diversity in address-related datasets, including Google Address Data, Google Address API, Google Location API, and more. Redefine your approach to location intelligence and make data-driven decisions with confidence. Revolutionize your business strategies today!

This is a connection to Philadelphia's open data portal - OpenDataPhilly.org - built by Azavea, a Philadelphia-based geospatial software firm. OpenDataPhilly is based on the idea that providing free and easy access to data information encourages better and more transparent government and a more engaged and knowledgeable citizenry.

OpenDataPhilly is a catalog of open data about the Philadelphia region. It includes more than 300 data sets, applications and APIs from many organizations in the region, including from City government. A full list of datasets shared by Philadelphia’s municipal government can be found here: https://www.opendataphilly.org/organization/city-of-philadelphia

The website enables users to search for and locate data sets based on keyword and category searches. For each data set, application, or API, the website includes accompanying information about the origins, update frequency, and other specifics of the data. The record for each data source also includes links for downloading the data or accessing the application or API.

What do you think of OpenDataPhilly? Let us know your ideas, suggestions, questions, or how you’ve used data in useful and inspiring ways at info@opendataphilly.org.

Contact

If you want to know when City government releases new datasets, follow @PHLInnovation on twitter.

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GIS Market Size 2025-2029

The GIS market size is forecast to increase by USD 24.07 billion, at a CAGR of 20.3% between 2024 and 2029.

The Global Geographic Information System (GIS) market is experiencing significant growth, driven by the increasing integration of Building Information Modeling (BIM) and GIS technologies. This convergence enables more effective spatial analysis and decision-making in various industries, particularly in soil and water management. However, the market faces challenges, including the lack of comprehensive planning and preparation leading to implementation failures of GIS solutions. Companies must address these challenges by investing in thorough project planning and collaboration between GIS and BIM teams to ensure successful implementation and maximize the potential benefits of these advanced technologies.
By focusing on strategic planning and effective implementation, organizations can capitalize on the opportunities presented by the growing adoption of GIS and BIM technologies, ultimately driving operational efficiency and innovation.

What will be the Size of the GIS Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The global Geographic Information Systems (GIS) market continues to evolve, driven by the increasing demand for advanced spatial data analysis and management solutions. GIS technology is finding applications across various sectors, including natural resource management, urban planning, and infrastructure management. The integration of Bing Maps, terrain analysis, vector data, Lidar data, and Geographic Information Systems enables precise spatial data analysis and modeling. Hydrological modeling, spatial statistics, spatial indexing, and route optimization are essential components of GIS, providing valuable insights for sectors such as public safety, transportation planning, and precision agriculture. Location-based services and data visualization further enhance the utility of GIS, enabling real-time mapping and spatial analysis.

The ongoing development of OGC standards, spatial data infrastructure, and mapping APIs continues to expand the capabilities of GIS, making it an indispensable tool for managing and analyzing geospatial data. The continuous unfolding of market activities and evolving patterns in the market reflect the dynamic nature of this technology and its applications.

How is this GIS Industry segmented?

The GIS industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Software
  Data
  Services


Type

  Telematics and navigation
  Mapping
  Surveying
  Location-based services


Device

  Desktop
  Mobile


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

The software segment is estimated to witness significant growth during the forecast period.

The Global Geographic Information System (GIS) market encompasses a range of applications and technologies, including raster data, urban planning, geospatial data, geocoding APIs, GIS services, routing APIs, aerial photography, satellite imagery, GIS software, geospatial analytics, public safety, field data collection, transportation planning, precision agriculture, OGC standards, location intelligence, remote sensing, asset management, network analysis, spatial analysis, infrastructure management, spatial data standards, disaster management, environmental monitoring, spatial modeling, coordinate systems, spatial overlay, real-time mapping, mapping APIs, spatial join, mapping applications, smart cities, spatial data infrastructure, map projections, spatial databases, natural resource management, Bing Maps, terrain analysis, vector data, Lidar data, and geographic information systems.

The software segment includes desktop, mobile, cloud, and server solutions. Open-source GIS software, with its industry-specific offerings, poses a challenge to the market, while the adoption of cloud-based GIS software represents an emerging trend. However, the lack of standardization and interoperability issues hinder the widespread adoption of cloud-based solutions. Applications in sectors like public safety, transportation planning, and precision agriculture are driving market growth. Additionally, advancements in technologies like remote sensing, spatial modeling, and real-time mapping are expanding the market's scope.

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The Software segment was valued at USD 5.06 billion in 2019

The Map Service (WFS Group) presents the spatial data from the landscape program Saarland the theme map Cultural Landscape,Recovery Preparation,Free Space Development.:LAPRO2009 – Open Space Upgrade in Auen

Our dataset delivers unprecedented scale and diversity for geospatial AI training:

🌍 Massive scale: 125,000 unique 3D map sequences and locations, 57,500,000 images, 35 TB of Data, orders of magnitude larger than datasets currently used for SOTA Vision/Spatial Models.

⏱️ Constantly growing dataset: 12k new 3D Map sequences and locations monthly.

📷 Full-frame, high-res captures: OVER retains full-resolution, dynamic aspect-ratio images with complete Exif metadata (GPS, timestamp, device orientation), multiple resolutions 1920x1080 - 3840x2880, pre-computed COLMAP poses.

🧭 Global diversity: Environments span urban, suburban, rural, and natural settings across 120+ countries, capturing architectural, infrastructural, and environmental variety.

📐 Rich metadata: Per-image geolocation (±3 m accuracy), timestamps, device pose, COLMAP pose; per-map calibration data (camera intrinsics/extrinsics).

🧠 Applications: Spatial Models Training, Multi-view stereo & NeRF/3DGS training, semantic segmentation, novel view synthesis, 3D object detection, geolocation, urban planning, AR/VR, autonomous navigation.

The real estate register is maintained in electronic form in the Official Real Estate Register Information System (ALKIS). This service provides geodata of the property cadastre in a simplified data exchange scheme via a web API (Application Programming Interface). The service provides only the following spatial objects limited to the essential properties in the format of a simplified data exchange scheme. The objects plot, plot point, building/construction, cadastral district, use, use plot, administrative unit are provided. The API is designed for use in appropriate (web development environments). In 2024, all cadastral authorities are to switch to the new AAA application scheme 7.1.2 (GID7). The service provides the secondary database property cadastre for the districts and district-free cities, which have already switched to the new data model. Data are updated on a quarterly basis. The URL of the services is only offered temporarily until the database is available nationwide (perspectively until Q1 2025). Subsequently, the data will be available in the new data model among the previously known services. State of play of the data used: 01.07.2024 .

This API accesses data from QLD Government's WildNet database that has been approved for public release. There are a number of functions that retrieve information for species, taxonomy, species lists and reference codes.

The API returns the information available in the WildNet Application

If you are establishing a long-term connection to the API, please email WildNet@detsi.qld.gov.au to be added to the API users email list. This list will be notified when major changes are made to the API.

WildNet information can also be accessed through:

Biomaps provides a map interface to display the WildNet records approved for publication with other spatial layers (such as cadastre, protected areas, vegetation and biodiversity value mapping). A range of WildNet species list reports based on all WildNet records and other environmental reports can be requested for properties and drawn areas etc.

WetlandMaps provides a map interface to display WildNet records approved for publication with other spatial layers (such as wetland mapping).

The Queensland Globe provides a map interface to display WildNet records approved for publication with other spatial layers and themes.

Other WildNet products are made available via the Queensland Government Open Data Portal.

Unlock the power of 164M+ verified locations across 220+ countries with high-precision geospatial data. Featuring 50+ enriched attributes including coordinates, building type, and geometry. Our AI-powered dataset ensures unmatched accuracy through advanced deduplication and enrichment. With 30+ years of industry expertise, we deliver trusted, customizable data solutions for mapping, navigation, urban planning, and marketing, empowering smarter decision-making and strategic growth.

Key use cases of Geospatial data have helped our customers in several areas:

1. Gain a Competitive Edge with Smarter Mapping : Use geospatial data to analyse competitors, identify high-traffic zones, and optimize locations for maximum impact.
2. Enhance Navigation & Location-Based Engagement : Improve turn-by-turn navigation, EV charging station discovery, and real-time travel insights for seamless customer experiences.
3. Find High-Value Locations for Business Growth : Leverage geospatial intelligence to select profitable retail sites, franchise locations, and warehouses with precision.
4. Streamline Deliveries & Address Validation : Improve shipping accuracy, reduce failed deliveries, and optimize courier routes for better customer satisfaction.
5. Drive Smarter Decisions with Spatial Analysis : Utilize location intelligence for disaster risk assessment, public health campaigns, and agricultural planning.

Feature layer containing authoritative drug free zone parcel polygons for Sioux Falls, South Dakota.

The Map Service (WFS Group) presents the spatial data from the landscape program Saarland the theme map Cultural Landscape,Recovery Preparation,Free Space Development.:LAPRO2009 – Industrial Landscapes

Testbed-19: Interoperability and Collaboration from Oceans to SpaceOverview and BenefitsThe Open Geospatial Consortium (OGC) invites interested organizations to respond to the Call for Participation (CFP) for OGC’s Testbed-19 Collaborative Solutions and Innovation (COSI) Initiative. Testbed-19 is a collaborative effort to rapidly prototype, design, develop and test solutions to location-related problems. Funded participation is available. A Bidders Q&A Webinar will occur on March 8, 2023 from 10am-11am EST.The Testbed-19 initiative will explore 6 tasks, including Geospatial in Space, Machine Learning: Transfer Learning, Geodatacubes, Analysis Ready Data, Agile Reference Architecture, and High Performance Computing.Testbed-19 provides an outstanding opportunity to engage with and lead the latest research on geospatial system design, concept development, and rapid prototyping. The Initiative provides a business opportunity for stakeholders to mutually define, refine, and evolve service interfaces and protocols in the context of hands-on experience and feedback. By participating in Testbed-19, you will shape the future of geospatial software development and data publication.Testbed-19 offers selected Participants a unique opportunity to recoup a significant portion of their initiative expenses. Testbed Sponsors, including several OGC Strategic Members, are supporting this vision with cost-sharing funds to partially offset the costs associated with development, engineering, and demonstration of these outcomes. In 2021 and 2022, OGC’s COSI Program (formerly the Innovation Program) gave over US$2 Million per year back to the geospatial community via COSI Initiatives.Testbed-19 that will pave the way towards new levels of location interoperability across the following topics:Geospatial in Space: aims to free OGC standards and technologies from Terrestrial constraints and allow geospatial analytic tools and techniques to be used on other astronomical bodies as well as in deep space. Testbed-19 will also fully integrate the terrestrial and extraterrestrial analytic toolset and processes.Machine Learning (ML): aims to document current approaches and possible alternatives to lay out a path for future standardization of interoperable/transferable ML Models for Earth Observation applications.Geodatacubes (GDC): aims to define the GDC API and metadata model, test the new API against a set of use cases, develop implementations that allow further experimentation, and develop a number of client applications for both data access and advanced visualization.Analysis Ready Data (ARD): aims to create, develop, identify, and implement ARD capabilities to advance informational data at the right place and at the right time. The ease-of-use of ARD will be increased through improving the backend standardization and disparate use-case scenario implementations.Agile Reference Architecture: aims to create, develop and identify the architecture elements for agile reference architectures and understand how these can be used for defining different use-cases that allow different implementations for API Building Blocks. This work is seeking to inform how Resilient Data Services in the generation after next will operate.High Performance Computing (HPC): aims to evaluate previous work in using HPC for geospatial analytics and help develop High-Performance Geospatial Computing standards.As the largest Research & Development (R&D) Initiatives conducted under OGC’s COSI Program, OGC Testbeds exist at the cutting edge of technology, actively exploring and evaluating future geospatial technologies to solve today’s problems. The solutions developed in Testbeds eventually move into the OGC Standards Program, where they are reviewed, revised, and potentially approved as new international open standards that can reach millions of individuals.The development of Testbed topics is a collaborative process between OGC and interested sponsors. During the first phase (November, December, January), sponsors and the OGC team work together to refine use cases and requirements on the sponsor side and transform these into actual work items. Each work item will be assigned to an OGC member organization for implementation during the Testbed-19 execution phase. Once these discussions are complete, OGC will develop a Call for Participation that is planned to be released to the public in early February. After a 45-day response period, OGC together with the sponsors will select the best participants based on the received proposals to form the Testbed-19 team. The execution phase, the phase of system design, rapid prototyping, testing, and documentation will be executed from May to December 2023.Call for Participation information: The Open Geospatial Consortium (OGC) issued a Call for Participation (CFP) for OGC Testbed-19; the PDF version can be found here. Funding was available, and responses closed on April 11, 2023, @11:59 PM AoE. For proposal submissions, please follow this link.Tags:Agile, AI/ML, Analysis Ready Data, ARD, Climate Change, Cloud Native, Digital Twins, Disaster Resilience, EO, GeoDataCubes, OGC APIs, Space, Testbed, Testbed-19

mWater is a tool that can be used to upload and visualize geospatial data describing water and sanitation systems. The user can create space to store data from a particular site and to enter data drawn from a survey administered at that site. Mapping the data and updating the data is as easy as using a smartphone app. The platform is free and there is no need to install any special software.

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted geospatial data cover postal divisions for the whole world. The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

Use cases for the Global Boundaries Database (Geospatial data, Map data, Polygon daa)

• In-depth spatial analysis

• Clustering

• Geofencing

• Reverse Geocoding

• Reporting and Business Intelligence (BI)

Product Features

• Coherence and precision at every level

• Edge-matched polygons

• High-precision shapes for spatial analysis

• Fast-loading polygons for reporting and BI

• Multi-language support

For additional insights, you can combine the map data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our map data

• Precision at every level

• Coverage of difficult geographies

• No gaps, nor overlaps

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted GIS data cover administrative and postal divisions with up to 6 precision levels: a zip code layer and up to 5 administrative levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.

The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

Use cases for the Global Boundaries Database (GIS data, Geospatial data)

• In-depth spatial analysis

• Clustering

• Geofencing

• Reverse Geocoding

• Reporting and Business Intelligence (BI)

Product Features

• Coherence and precision at every level

• Edge-matched polygons

• High-precision shapes for spatial analysis

• Fast-loading polygons for reporting and BI

• Multi-language support

For additional insights, you can combine the GIS data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our geospatial data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All GIS data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our map data

• Precision at every level

• Coverage of difficult geographies

• No gaps, nor overlaps

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted geospatial data cover administrative and postal divisions with up to 5 precision levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.

The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

Use cases for the Global Administrative Boundaries Database (Geospatial data, Map data)

• In-depth spatial analysis

• Clustering

• Geofencing

• Reverse Geocoding

• Reporting and Business Intelligence (BI)

Product Features

• Coherence and precision at every level

• Edge-matched polygons

• High-precision shapes for spatial analysis

• Fast-loading polygons for reporting and BI

• Multi-language support

For additional insights, you can combine the map data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our map data

• Precision at every level

• Coverage of difficult geographies

• No gaps, nor overlaps

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

The Ministry of Land, Infrastructure and Transport and the LX Korea Land and Infrastructure Corporation utilize spatial information experts and cadastral surveying know-how to secure mutual compatibility between orthoimages (satellite images or aerial photos) and basic spatial information and provide a basic national land information map that can be integrated with various information. was produced. Features include the ability to check national land changes based on normal images at a glance, ease of convergence with various real estate-related information, and more detailed statistical analysis as the minimum unit (parcel) of land management. This basic national land information map provides open API information free of charge in response to the government 3.0 policy, and open API is provided upon request at www.vworld.kr.

A log of dataset alerts open, monitored or resolved on the open data portal. Alerts can include issues as well as deprecation or discontinuation notices.

Australian Tourism Data Warehouse (ATDW) is the National Platform for Digital Tourism information on Australia.The ATDW ATLAS API allows you to extract tourism information from the ATDW database. The database contains over 40,000 tourism related products across a variety of categories. The API allows for geospatial searching of the data and allows filtering using the ATDW content structure. The content is compiled in a national agreed format an electronically accessible by tourism business owners (operators), wholesalers, retailers and distributors for use in their websites, booking systems and other digital channels.\r \r A 30 day free trial is available.

The Map Service (WFS Group) presents the spatial data from the landscape program Saarland the theme map Cultural Landscape,Recovery Preparation,Free Space Development.:LAPRO2009 – Historical City Centers