🌍 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
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Looking for a treasure trove of free geospatial data sets for your next project? The Natural Earth Data collection offers an incredible variety of cultural, physical, and raster data that can take your geographic visualizations to the next level. From country boundaries and disputed areas to rivers, lakes, and coral reefs, these data sets are both rich in detail and easy to use. Whether you're working with GIS, spatial analysis, or map-making, these resources provide crucial details to help you craft precise and visually compelling analyses. Key highlights of Natural Earth Data: 1️⃣ Country boundaries 2️⃣ Urban areas and time zones 3️⃣ Coastal and ocean data, including bathymetry and glaciated areas 4️⃣ Transportation data like roads, railroads, and ports 5️⃣ Physical features such as rivers, lakes, and coral reefs On top of that, Natural Earth Data offers multiple resolutions, making it adaptable to different project scales, whether you need an overview or detailed geographic insights. Link to the Natural Earth Data website: https://lnkd.in/eQdSQmDY The visualization shared here originates from a recent post by Karolina Lehotska, and it perfectly illustrates how useful these open data sets can be for your next analysis. Want more tips on data science, statistics, Python, and R? Subscribe to my free email newsletter today! Check out this link for more details: http://eepurl.com/gH6myT #rprogramming #datasciencetraining #pythoncode #bigdata #dataanalytics #advancedanalytics
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GIS Data Analyst | Leveraging Spatial Insights for Informed Decision-MakingSummary: Diligent GIS Data Analyst with a passion for transforming geospatial data into actionable insights. Proficient in analyzing and interpreting spatial information, I specialize in utilizing advanced GIS tools to support strategic decision-making. Skilled in data visualization, spatial modeling, and geographical analysis, I am committed to delivering accurate and valuable insights. Let's connect to explore opportunities at the intersection of geography and data analysis.#GIS #DataAnalyst #SpatialAnalysis #GeospatialData #DecisionMaking #DataVisualization #LinkedIn(
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#PostGIS now works on #Felt for a modern and seamless mapping experience. There's a Free plan, as well as pricing options available for teams and enterprise use. Check out the free upcoming webinar Aug 14th to learn more about building a modern GIS stack with Felt and #PostgreSQL! https://lnkd.in/gNBwdXjr #postgres #dba #appdev #mapping #geospatial #techmeetup #technews #dev #learneveryday
Using PostGIS and need a modern cloud-native GIS for spatial data analysis and visualization? Connect your PostgreSQL database with Felt! Preview live layers, keep data up-to-date, and build powerful dashboards for the entire team. https://lnkd.in/eHbWjhYz #gis #postgis #geospatial
Integrating PostGIS (PostgreSQL Extension) for Spatial Data Analysis and Visualization
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Happy to announce that I’ve completed the "Performing Causal Inference Analysis Using ArcGIS Pro" certificate! I examined how social capital could impact longevity through causal inference analysis—an intriguing combination of GIS and data science. Eager to put these skills to use in upcoming projects! #GIS #ArcGISPro #CausalInference #Geoinformatics #DataScience #esri
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🌍 I am excited to have completed the Esri MOOC on Spatial Data Science: The New Frontier in Analytics! Over the course of 6 weeks, I deepened my skills in ArcGIS Pro, focusing on practical, real-world applications of GIS. It was an incredibly instructive experience that covered a range of key topics: • 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 • 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 • 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 • 𝐒𝐮𝐢𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 • 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 & 𝐂𝐥𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐠 • 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 • 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐧𝐠 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 with ArcGIS StoryMap Looking forward to exploring these tools further! #GIS #ArcGISPro #SpatialAnalysis #DeepLearning #DataEngineering #Geospatial #MOOC #StoryMaps #RandomForest
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The Landscape of Behaviour project has kept me on a trajectory of skill development in my line of work. The past month has seen me complete a series of tasks through a certificate program in Data Management and Visualization in R at John Hopkins University. As I conclude my last module this week, I am excited about how I will utilize modeling in R using geodata from ArcGIS Pro. #GIS #LOB
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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
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New Esri Book Explores How Spatial Data Science Helps Users Understand Data and Make ...: Geospatial big data; Advances in computing, data sources, and methods. Spatial Data Science is intended for readers using or studying GIS, as well as ... #bigdata #cdo #cto
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geoweeknews.com
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I have just completed a 6-week course titled “Spatial Data Science: The New Frontier in Analytics” offered by Esri. This course sparked a huge interest in spatial data science, and it was the perfect step to dive into this unique field. I gained a lot of exciting experiences that I benefited from in field Gis. ✨🌍 #SpatialDataScience #Esri #Mooc #Gis
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I'm not inherently anti ArcGIS or Esri. However I am anti ecosystem lock-in. As open source gets better and better, my point is the nickel and diming, the antiquated infrastructure, combined with the fast moving spatial data analysis world that is completely separate from GIS. If you don't watch out as a GIS professional your skills may go the way of the dinosaur if all you know are the Esri suites. Esri was a trailblazer, but if you've forked out your own hard earned money on Esri licenses it really makes you think hard about the alternatives. Get smart on them before you write that next check. #qgis #GIS #geopandas #foss4g #esri #datascience
How many of my GIS friends who have been locked into Esri would switch if they knew how? It is becoming more and more possible with each passing year. Data Science and GIS should be friends and our tooling mostly keeps us apart. If you've never tried QGIS before install it, you don't even have to open it. But that moment when you drag and drop a Geojson and can just view it...😙🤌 #qgis #opensource #GIS #geopandas #Esri #datascience
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