Adoption of the latest metadata standards for describing geographic information ensures a higher level of interoperability between data portals, providing more value to end users by strengthening the whole ecosystem of geospatial data providers. Read more. ↘️ https://lnkd.in/gFmS6Czf #geospatial #metadata #mapping #CKAN
Link Digital’s Post
More Relevant Posts
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Q&A: Good Governance in Minnesota Starts with Geospatial Data In this interview conducted by Pat Cummens, Minnesota’s chief geospatial information officer Alison Slaats discusses the state’s innovative approaches to visualize and analyze data with GIS, and make data more accessible. https://lnkd.in/gE4EQWMk
Q&A: Good Governance in Minnesota Starts with Geospatial Data
esri.com
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Are you tired of wasting hours searching for geospatial data across multiple platforms? As geospatial professionals, we've all been there, bouncing between different geoportals, juggling multiple tabs, struggling to find the datasets we need, and feeling frustrated by the time it takes. I recently wrote an article that dives into this issue and introduces GISDATA.io Galileo as a solution that could save you significant time and effort. https://lnkd.in/gZjUvxJW
Why Your Geospatial Data Search is Taking Too Long and How to Fix It
blog.gisdata.io
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I want to live in a world in which interoperable geospatial data types are as common as cat videos on the internet.
The initial goal of #GeoParquet was modest: to ensure that any tool reading or writing spatially located geometries (points, lines and polygons) does so in a consistent and interoperable way. But the ultimate goal has been to make #geospatial a primary data type within the broader data community. Chris Holmes and Javier de la Torre discuss in their latest blog post a future where geospatial data is integrated across the data landscape. https://lnkd.in/eUBGaSTE
Embracing Geospatial as a Primary Data Type: A Call to Action for the Data Community
cloudnativegeo.org
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Owner of Talk to Me About Tech 🤖 || Founder of TheOpenSource.community 🪶 & Two Rabbit Rescue 🐇 || Developer Advocate @ Data Bene 🐘
In need of a #geospatial dataset? > Since November, Overture Maps has been publishing global, open geospatial datasets every month. They've also expanded the topics they cover from building footprints and road networks to address lists and AI-generated land use data. > They've managed to get several major geospatial software, data providers and the OpenStreetMap (OSM) community to come together to produce these datasets and provide them publicly free of charge. https://lnkd.in/gBP_5WVe #openstreetmap #gis #datasets #freedatasets #data #overturemaps #mapping #cartography #maps
Revisiting Overture's Global Geospatial Datasets
tech.marksblogg.com
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#interview | An interview with Ashish Kumar Jena, 𝐉𝐨𝐢𝐧𝐭 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐂𝐨𝐦𝐦𝐢𝐬𝐬𝐢𝐨𝐧𝐞𝐫, 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐨𝐟 𝐎𝐝𝐢𝐬𝐡𝐚 on 𝐃𝐚𝐭𝐚 𝐃𝐞𝐦𝐨𝐜𝐫𝐚𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐂𝐚𝐩𝐚𝐜𝐢𝐭𝐲 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐧𝐝 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬. "The essence of the National Geospatial Policy on data democratization is to make this data accessible to other stakeholders and the public. It aims for data to be in the public domain, enabling further development and utilization by various parties. Public domain data should be readily available for administrative use and for further analysis by stakeholders, he said. #datademocratization #capacitybuilding #geospatialtechnology #geospatial #policy #dataaccess https://lnkd.in/dy8UZYmX
Empowering Stakeholders, Transforming Governance Through Data
https://www.geospatialworld.net
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Visiting Research Scholar at iirs ISRO, and Senior Research Fellow at IIT Indore. I am a Pyrogeographer studying wildfires and their interconnections with indigenous people and local communities.
Very useful information.
Remote Sensing & GIS Analyst | Specializing in Spatial Data Analysis and Earth Observation
Free Geospatial Dataset Web links 🖼️ 🗺️🌍 1. Available Open Datasets - [Geofabrik](https://www.geofabrik.de/) - Search for "Factory POI dataset" - [Global Rural-Urban Mapping Project (GRUMP)](https://lnkd.in/eCJ8G3Qn) - [GeoNames Data](http://www.geonames.org/) - [City of Toronto](https://open.toronto.ca/) - [ArcGIS Hub](https://hub.arcgis.com/) - [GeoHub City of Brampton](https://data.brampton.ca/) - [City of Markham](https://open.maple.io/) - [New York City](https://lnkd.in/eQKN6TEx) - [BBBike](https://lnkd.in/e3kuHMMG) - [Mapzen](https://mapzen.com/) - [openterrain list](https://lnkd.in/ehg8iyrF) - [terrain party](http://terrain.party/) - [OpenMapTiles](https://openmaptiles.org/) - [GADM maps and data](https://gadm.org/) - Various sources; search for specific data - [SRTM C-BAND DATA PRODUCTS](https://lnkd.in/exsgdib7) - [CGIAR-CSI SRTM raster data](http://srtm.csi.cgiar.org/) - [Wikimapia](http://wikimapia.org/) 2. Commercially Available Datasets - [Planet.osm](https://lnkd.in/eGHUU7Pj) - [MapTiler](https://www.maptiler.com/) - Search for "Factual Global Places dataset" - [TravelTime API](https://traveltime.com/) - [Precisely](https://www.precisely.com/) - [World Cities Database](https://lnkd.in/eqAXHEBJ) - [SafeGraph](https://www.safegraph.com/) - [Google Maps Platform](https://lnkd.in/eVu_G_UZ) - [Here Maps for Developers](https://lnkd.in/eYiM8ghb) - [MPAC Residential Property Assessments](https://www.mpac.ca/) - [Geodata Tufts](https://sites.tufts.edu/) 3. Elevation Data - [Open Elevation API](https://lnkd.in/eCyYx8si) - [Open Topo Data API](https://lnkd.in/eNueQiKW) - [National Map API](https://lnkd.in/eGwVVzHS) - [Google Maps API](https://lnkd.in/e9r-uPhe) 4. Traffic Datasets - [Open Traffic](https://opentraffic.io/) - [Google Routes](https://lnkd.in/eK2wQpuP) 5. Parking Tickets Datasets - [City of Toronto Parking Tickets](https://lnkd.in/eDAUNPhu) - Search for "Toronto Parking Tickets Visualization dataset" 6. Public Transport Networks Datasets - [Google Transit APIs](https://lnkd.in/egj-q6nF) 7. Planned Events, Road Work, and Other Temporary Changes - [one.network](https://www.one.network/) 8. Traffic Crashes Datasets - Search for "Countrywide Traffic Accident Dataset" - [Open traffic](https://opentraffic.io/) 9. Emission Datasets - [Ontario Air Quality Data Sets](https://lnkd.in/e2n94-AA) 10. Environmental Datasets - [Canadian Open Geospatial Data](https://open.canada.ca/) - [Government of Canada Open Data Portal](https://lnkd.in/eG2pFnEN) 11. Mobility-Aware Urban Design - [Urbano](https://www.urbano.io/) 12. Accessibility - [Wheelmap](https://wheelmap.org/en/) - [accessibility.cloud](https://lnkd.in/esmXsqdp) 13. Crime Map 14. Open-Source Projects - [GIScience](https://lnkd.in/egnYgHh8)
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AI & Robotics | IT Professional | Exploring the Impact of Emerging Technologies on Society & Business | "the idiot that doesn't know when to shut up" - My Mom
Top 5 Geospatial Data APIs for Advanced Analysis Explore Overpass, Geoapify, Distancematrix.ai, Amadeus, and Mapillary for Advanced Mapping and Location Data Kyle Glenn in Unsplash (Source: https://lnkd.in/g7wdK9A5) Geographic data is important in many analyses, enabling us to decide based on location and spatial patterns. Examples of projects where geodata can come in handy include predicting house prices, route optimization in transportation, or establishing a marketing strategy for business. However, as a data scientist, you will frequently face the challenge of where to obtain this data. In many cases, there are public sources with information on geographic data; however, in many cases, the information they provide needs to be revised for the analyses we want to perform. This article will evaluate five of the most useful APIs for obtaining large-scale geographic data. We will assess their usage, advantages and disadvantages, and the main applications of the information they provide. Think of this article as a fundamental foundation for the use and applications of these APIs, so that you can later delve deeper into all the tools they offer. 1. Overpass The Overpass API allows access to the information available on the OpenStreetMap website. OpenStreetMap is an open geographic database, containing a wide range of geospatial data, from information about underground routes to road, mountain, or river locations. The data available in OpenStreetMaps is open and is maintained by users across the globe, therefore, the level of completeness depends heavily on the region, since there are areas where we can find more active users and therefore the platform has more data. However, the degree of completeness is in most cases high, allowing us to gather a lot of information for our geographic analyses. The Overpass API uses a language called Overpass QL for designing the queries for accessing the data available on OpenStreetMap. This highly customizable language allows us to create specific queries to access only the information of interest for our analysis from the platform. Advantages Completely free: because OpenStreetMap is an open database, the use of the API is also completely free. Flexible queries: queries can be highly customized using the Overpass QL language to access only the information of interest. Other aspects, such as the data output format, can also be customized in the query. Also, through the query, you can easily filter the geographic data you want to obtain, as well as the search area for such data. Global data: OpenStreetMap contains global data, as a consequence, the information accessible through the API is not limited to specific regions. Disadvantages Quality of the returned API data: the OpenStreetMap platform, as mentioned before, is an open website maintained by volunteers. Therefore, the data quality depends on the users, which as a result can lead to incomplete data in certain regions where...
Top 5 Geospatial Data APIs for Advanced Analysis Explore Overpass, Geoapify, Distancematrix.ai, Amadeus, and Mapillary for Advanced Mapping and Location Data Kyle Glenn in Unsplash \(Source: https://unsplash.com/es/\@kylejglenn\) Geographic data is important in many analyses, enabling us to decide based on location and spatial patterns. Examples of projects where geodata can come in handy...
towardsdatascience.com
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🚀 New Feature Alert: Effortless Data Downloads with Galileo! We are thrilled to introduce the newest feature in Galileo—Data Downloads. Accessing and downloading geospatial data has never been this easy. 📌 Key Highlights: Simple Download Process: With a single click, download feature layers directly from the Galileo search engine. Multiple File Formats: Choose your preferred file type. Progress Tracking: Monitor your download status in real-time. No External Tools Needed: Discover and download data without extra tools. Why struggle with data discovery and management when you can have it at your fingertips? Experience the new Galileo Data Download feature today and save valuable time for your projects. https://lnkd.in/e4UHy9_w #GeospatialData #GIS #Innovation #Galileo #GISDATAio
Effortless Geospatial Data Downloads with Galileo
blog.gisdata.io
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🛰️ Are you interested in the rapidly growing field of geospatial data science and the top companies making waves in the industry? This comprehensive list features the top 35 geospatial data companies you should know in 2024, from startups to established players. From climate risk assessment to urban planning and environmental monitoring, these companies are at the forefront of leveraging geospatial data science to solve real-world problems and drive innovation. 🌍 👇Check out the full list: https://bit.ly/3RQHETq #Omdena #GeospatialData #DataScience #Innovation #TechTrends #GIS
Top 35 Innovative Geospatial Data Companies You Should Know in 2024
omdena.com
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Join geospatial expert, Aaron Fraint, for an exclusive 30-minute webinar on building a cutting-edge GIS stack using Amazon #Redshift and Felt. 🔗 Discover how easy it is to integrate Felt into your existing workflows with native Redshift connections. 📊 Dive deep into our syncing technology and learn how it streamlines geospatial data management. 💬 Get your questions answered by our technical leads — they’re here to help! Seats are limited, so reserve your spot now! Link in the description🚀 #gis #geospatial #data #mapping #amazonredshift
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Executive Director, Canadian Open Data Society
4moDouglas Sartori