National Security Sciences at ORNL’s Post

Unraveling the Spatial Mysteries: Exploring Centroids in Geospatial Analysis 🌍 Are you curious about the hidden gems of geospatial analysis? Let's delve into the fascinating world of centroids! 🌟 Centroids are not just points on a map; they are the strategic hubs that minimize distances to all edges of a geometric figure, often representing the "center" in most cases. In objects with homogeneous density, they coincide with the center of mass, a place where balance is achieved. 🎯 In the realm of spatial statistics, centroids play a pivotal role, bridging conventional measures of centrality and dispersion to the analysis of spatial point distributions. They encapsulate not only the variables of sampled units but also their spatial coordinates (X and Y positions) in the vast expanse of geographic data. 🗺️ In our geospatial journey, harnessing centroids unlocks a treasure trove of insights. From optimizing feature analysis to understanding spatial patterns and optimizing resource allocation, centroids are the guiding stars of spatial intelligence. ✨ Join me in exploring the power of centroids and unraveling the mysteries of geospatial analysis! Let's navigate the spatial landscape together and uncover new horizons. 🌐 See the code bellow: // Load the feature collection var varNAME = ee.FeatureCollection('your feature here'); Map.centerObject(varNAME); Map.addLayer(varNAME, {}, 'NAME'); // Filter the feature collection var varSubject = subBasins.filter(ee.Filter.eq('feature inside the f.col', 'name of the feature')); Map.addLayer(varSubject, {color: 'red'}, 'name of the subject'); // Function to calculate area var addArea = function(feature) { var areaInHa = feature.geometry().area().divide(100 * 100); return feature.set({area_in_ha: areaInHa}); }; // Apply the function to the feature var areaAdded = basin.map(addArea); // Visualize the result print('Area in hectares:', areaAdded); //----------------------------------------------------------------------------------- // Add centroids var getCentroid = function(feature) { // Select properties to keep var keepProperties = ['feature_name', 'feature_area', 'objectid']; // Get the centroid of the geometry var centroid = feature.geometry().centroid(); // Return a new feature with centroid and selected properties return ee.Feature(centroid).copyProperties(feature, keepProperties); }; // Apply the function to the feature collection var centroids = subBasins.map(getCentroid); // Visualize the centroids Map.addLayer(centroids, {color: 'yellow'}, 'Centroids'); #GeospatialAnalysis #Centroids #GISInsights #SpatialIntelligence #GeospatialInsights #DataAnalytics #codetutorials #javascript #GIS #environmental

Precisely joins Overture Maps Foundation to power Global Open Map Dataset. #Mapping #GIS #Dataset #OpenMaps #Precisely #OvertureMaps https://lnkd.in/exMMUSuw

"GIS Developer & Data Scientist | Expert in Geospatial Analytics, Cloud Solutions, and Data Visualization" 🌍📊 I’m a GIS Developer and Data Scientist focused on geospatial analytics, data visualization, and innovative cloud computing solutions. My goal is to harness advanced GIS technologies to tackle complex problems and create meaningful solutions. 🚀💡 I bring expertise in land use analysis, NDVI change detection, and cloud-based GIS applications. Let’s connect to discuss how we can work together on exciting projects in the GIS field! 🌟🔧 #GISDeveloper #DataScientist #GeospatialAnalytics #CloudComputing #DataVisualization #GISTechnologies #NDVI #LandUseAnalysis #ArcMap #QGIS #GoogleEarthEngine #CloudSolutions

PART VIII. GEOGRAPHIC INFORMATION SYSTEMS (GIS): Introduction to geographic data analysis In our previous article (part VII) we broached satellite imagery and the notion of image resolution. Today, we will discover geographic data analysis. To make it more actionable, we will do it through an extremely cool open source geospatial web-based analysis tool: Kepler GL (with MapLibre mapping libraries). Combining geography and data is a powerful means of communication. HOW TO MAKE STUNNING MAPS FEATURING MEANINGFUL DATA? The image attached represents GDP (Gross Domestic Product) per capita. In general, figures expressed per capita rather than in absolute values stimulate our ability to put things into perspective. Rationalising numbers makes it easier to compare things that would be otherwise hard to weigh up. Here is the step by step path used with Kepler GL. No need to be a programming language expert. I. Prep the data set 1. Get the list of all the countries that publish their GDP per capita (The World Bank is an authoritative open-data source, Wikipedia is not bad, either). 2. Once you have got country list (e.g., in CSV), you open it in a spreadsheet and you add two columns: latitude and longitude. We are going to ‘geocode’ all the countries. Indeed, mapping systems need geographic coordinates (see our article part II: Geocoding). 3. Check your data and save your file in CSV. II. Import data set into Kepler GL (https://kepler.gl/demo) 1. Use “Load Files” (drag & drop your CSV file). 2. You will automatically access the management panel. III. Style and arrange map’s look & feel 1. Default tab ‘Layers’: add a layer (select one among 13 different ‘styles’, some are fancy), then arrange the appearance you wish (colours, basemap style, etc.). NB: you can ignore second tab ‘filters’ at this stage. 2. Third tab ‘Interactions’: here you choose which information you would like to display in a tooltip when a user hovers over a point. In this tab, map creator has other advanced features to offer a richer user experience. 3. Fourth tab “Base map”: here you can change the style of the map (clear, dark; with or without labels, boundaries, etc.). 4. Upper-right corner: give a touch of professionalism with advanced viewing mode (dual map viewing), edit mode (draw figures), legend, or settings (language). 3D option is spectacular (see image below). Just play with all the available functionalities until you find the most compelling style for your map. IV. Save, export, and share your map 1. Saving: to save your map you must have an account at either Foursquare, Dropbox, or Carto. I use Dropbox. 2. Exporting: you can export your map as a PNG image (HD also available), the data (CSV), or the entire map (JSON format). 3. Sharing: to share your map as an URL, you will be prompted to select either Foursquare, Dropbox, or Carto. That’s it. Enjoy! Now, your turn! You can do the same, but with PPP (purchasing power parity). How does your country rank?

𝗛𝗲𝘆 𝗘𝘂𝗿𝗼𝗽𝗲!👋 I'm representing an incredible (𝙎𝙚𝙣𝙞𝙤𝙧) 𝙂𝙚𝙤𝙨𝙥𝙖𝙩𝙞𝙖𝙡 𝘿𝙖𝙩𝙖 𝙎𝙘𝙞𝙚𝙣𝙩𝙞𝙨𝙩 that could be of great value to 𝙔𝙊𝙐𝙍 business 🫵 If you're interested in the candidate below, please contact me to organise a discussion 📩 *Please note that this candidate operates remotely within Europe and resides in Germany. ---------------------------------- 𝙊𝙫𝙚𝙧𝙫𝙞𝙚𝙬: - Expert Geospatial Data Scientist with over 7 years of experience in executing data-driven solutions using advanced machine learning algorithms. Skilled in designing, developing, and implementing regression and classification models to address various business challenges. 𝙎𝙥𝙚𝙘𝙞𝙛𝙞𝙘𝙨: - Earned a PhD in Remote Sensing and an MSc in Geoinformatics. - Created a semi-automated machine learning model to estimate crop yields from satellite imagery, weather data, and other domain-specific datasets, leading to a patented innovation. - Developed a machine learning-based cluster analysis method to identify ecosystem service bundles on agricultural landscapes, focusing on agricultural ecosystems. - Designed automated processing chains for time series precipitation data to derive precipitation-based drought indicators. If you're interested in interviewing this candidate, please email me using the details on the image or contact me directly on LinkedIn 📩

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(

Why aspiring Data scientists and Data engineers should build with GeoSpatial Data? 1) Rich and extensive data sources available for free : A goldmine of rich data sources freely available online 2) Work on a scale from the start : Terabytes of data to work with 3) See climate change in real time : You take up the role of a journalist and see climate change as it is happening 4) Build for the Social Good : Work on problems that have a social impact and send a powerful message backed by data 5) Beautiful plots and visualizations! read more at : https://lnkd.in/gW_GMdZw Sentinel Hub Googleearth Engine #fused #sentinel #geospatial Isaac Brodsky #earthobservation Fused Sina Kashuk Abhishek Patil Plinio Guzman

It's notable that geospatial analytics help firms in three ways - better decision making, cost reduction, and efficiency gains. And the types of companies and industry sectors that can benefit are diverse. If businesses aren't already making use of satellite data, now is a great time to start. Read more on TechHQ here: https://lnkd.in/eQwYjibn #GIS #Geospatialanalytics #businessintelligence Mentions include: RS Metrics Orbital Insight Planet Labs Inc. CARTO Tableau Oracle Qlik Sisense Ubilabs

🛰️ 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