Glenn Letham’s Post

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

🚀 Navigating the Mosaic Challenge in Geospatial Data Processing! 🌍 In the world of geospatial data processing, dealing with large raster datasets can often feel like navigating a minefield. One of the key issues we encounter is the mosaic problem—specifically, how to efficiently handle overlapping raster areas and calculate meaningful statistics across these regions. 🔍 Current Hurdle: Many open-source GIS tools fall short when it comes to computing mean statistics for overlapping raster areas. While these tools are robust and highly customizable, they often lack the built-in functionality for calculating mean values across mosaic overlaps, which can be critical for precise analysis. 💡 ArcGIS: The Go-To Solution? ArcGIS is frequently the go-to for many professionals seeking advanced capabilities in this area. However, it’s not without its downsides. As powerful as it is, ArcGIS can be slow and prone to crashes when working with very large datasets, which can be a significant bottleneck in project workflows. 🛠️ Possible Approaches: Hybrid Solutions: Combining open-source tools with ArcGIS can sometimes offer the best of both worlds—leveraging open-source for initial processing and ArcGIS for detailed analysis and statistics. Optimizing Workflows: Implementing best practices in data management and processing can mitigate some performance issues with ArcGIS. This includes techniques like data subsetting, using optimized formats, and improving computational resources. 💬 Let’s Discuss: Are you facing similar challenges in your projects? What strategies or tools have you found effective in managing large raster datasets and calculating mean statistics for overlapping areas? Share your insights and experiences! #GeospatialData #GIS #OpenSource #ArcGIS #DataProcessing #RemoteSensing #GeospatialAnalysis

https://lnkd.in/gT8V8RMw How to find, evaluate, and use geospatial data in a GIS: A short course I have created.

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

#GIS data standards are critical for: ✅ Avoiding land use miscalculations ✅ Creating consistency across projects ✅ Minimizing workflow redundancies Some states have made progress in using #geospatial technology to gather and use data. Other states struggle to prioritize data integrity due to the costly and time-consuming process of collecting, analyzing, and entering all the proper data/information fields. Read our latest Geospatial World article to learn what standardization goals look like and how we're helping put gold-standard GIS data in the hands of the public. 👉 https://lnkd.in/gYMyJx4u

Navigating the science of turning trusted data into insights in mapping our world: Maps and geographic information systems such as ArcGIS’s Living Atlas are helping policymakers and industry analysts through authoritative data and smart assistants

Do you work in #localauthority #GIS? We have a brilliant blog for you to share with colleagues. Written with the award-winning Tracy Lister from Walsall Council, it's a non-technical look at how geospatial systems and data help authorities achieve their objectives. We even manage to squeeze in info about all-important UPRNs (or, as Tracy describes them, 'golden threads'), the 'single source of the truth' (aka a spatial data warehouse) and a quick PESTLE analysis. https://bit.ly/lagis Socitm GeoPlace

🚀 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

🌍 Unlock the Power of Spatial SQL for Geographic Data Analysis!📊 Ever worked with geographic data? 🌐 Whether you're in urban planning 🏙️, logistics 🚚, or environmental science 🌿, understanding where things are is crucial. That's where Spatial SQL comes in! What is Spatial SQL? It's an extension of the classic SQL language that lets you manage and analyze geographic data directly within your database. This means you can: 🗺️ Perform spatial queries like finding nearest neighbors or identifying areas within a specific radius.  📐 Work with different geometric shapes like points, lines, and polygons.  🚀 Analyze large datasets efficiently using the familiar SQL syntax. Why is Spatial SQL Important? Traditionally, geographic data lived in separate GIS systems. This created silos and made it difficult to combine spatial data with other datasets. Spatial SQL bridges that gap by allowing you to: 🌐 Unify your data in one place for a more holistic view.  🤝 Simplify workflows and boost collaboration across teams.  🧠 Unlock the potential for advanced spatial analytics and data science. Mastering Spatial SQL can give you a powerful edge in today's data-driven world! 🌍 #spatialsql #gis #dataanalysis #geography #locationintelligence #sql

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