FeltFelt's new API offers powerful features to streamline geospatial data management and integration. This step-by-step tutorial will get you up and running quickly.
How to Use Felts New API ⚙️ A Step-by-Step BreakdownFelt2024-06-04 | Felt's new API offers powerful features to streamline geospatial data management and integration. This step-by-step tutorial will get you up and running quickly.
#gis #data #mapsBuild Powerful Maps & Dashboards Without CodeFelt2025-08-16 | Struggling with traditional BI tools like Tableau? Discover how Felt's Components feature transforms spatial data into actionable insights without writing a single line of code. Perfect for teams who need to create interactive maps and dashboards quickly and efficiently.
What You'll Learn:
✅ How to build statistical data summaries with zero coding ✅ Creating interactive charts and map-level interactions ✅ Enabling powerful user features like distance measurement and location search ✅ Setting up dynamic spatial filters that auto-update all connected charts ✅ Building interconnected dashboard experiences for your entire team
Key Features Covered:
🗺️ Map Interactions:
- Measure distances and calculate areas - Search for specific locations and data points - Apply spatial filters to drawn areas
📊 Data Visualization:
- Interactive histograms and bar charts - Time-series data visualization - Automatic chart updates based on spatial filters
🔄 Enterprise Features:
- Live sync with cloud data sources - Real-time data updates - Team collaboration tools
Whether you're in urban planning, logistics, real estate, or any field that relies on spatial data, Felt Components empowers your team to create professional-grade interactive dashboards without technical expertise.Turn ideas into spatial web apps with Felt AIFelt2025-07-15 | GenAI web maps, apps and dashboards have arrived. Learn more about Felt AI and what it can do for your team! http://bit.ly/40mybah
#gis #data #mapsHow to Visualize Spatial Data | Felt Style Editor Quickstart GuideFelt2025-06-02 | Transform your maps with Felt's powerful styling tools! Learn to customize vector data, raster layers, backgrounds, and create professional visualizations with advanced techniques like zoom-based styling and layer sandwiching.
🎨 What You'll Master: - Custom map backgrounds: satellite, light/dark themes, URL imports - Vector styling: colors, opacity, stroke width for points/lines/polygons - Data-driven visualizations: size-based and categorical styling - Zoom-based styling for multi-scale map optimization - Raster styling: color ranges, hillshading, categorical display - Raster algebra operations and analysis - Layer sandwiching: control feature placement above/below basemap elements
🗺️ Visualization Techniques Covered: - Background Customization: Default, satellite imagery, light/dark themes, custom URL backgrounds - Vector Data Styling: Point symbols, line weights, polygon fills, transparency controls - Advanced Vector Features: Attribute-based sizing, categorical color schemes, data-driven styling - Zoom-Responsive Design: Auto-adjusting feature size and opacity across zoom levels - Raster Visualization: Color ramps, elevation hillshading, categorical mapping, mathematical operations - Professional Layout: Strategic layer ordering, basemap integration, visual hierarchy
💡 Perfect for: - Cartographers and map designers - Data visualization specialists - Urban planners creating presentation maps - Environmental consultants - Marketing professionals using location data - Anyone wanting professional-looking maps
⚡ Key Features: - Comprehensive vector and raster styling options - Data attribute-based visualizations - Multi-scale zoom optimization - Custom background integration - Professional layer management - Real-time styling preview
👍 Enjoyed this styling tutorial? Sign up and follow along for free: www.felt.com/signupHow to Upload ANY Spatial File to Make a Map - Shapefiles, GeoJSON, Raster Data & More! | TutorialFelt2025-06-02 | -Discover how Felt's "Upload Anything" feature supports 30+ geospatial file formats up to 5GB! Learn to upload vector data, raster imagery, spreadsheets, and more with simple drag-and-drop functionality.
🗺️ What You'll Learn: - How to upload files by drag-and-drop or toolbar icon - Supported vector formats: Shapefiles (.shp), GeoJSON, GeoPackage, KML, GPX - Raster data uploads: GeoTIFFs, satellite imagery, DEMs, aerial photos - Spreadsheet integration: Excel, CSV, Numbers files with location data - AutoCAD DXF file support with geographic coordinates - PDF and image overlay capabilities
💡 Perfect for: - GIS professionals and analysts - Urban planners and surveyors - Environmental scientists - Real estate professionals - Anyone working with spatial data
⚡ Key Features: - Tiles even your largest datasets - Compressed formats (.zip, .gz, .tar) accepted - GDAL and GPSBabel format compatibility - Layer grouping for multi-dataset files - URL import functionality
Master secure map sharing and team collaboration in Felt! Learn to control access permissions, collaborate in real-time, manage workspaces, and embed maps in enterprise dashboards with authenticated security.
🔐 Complete Sharing Guide: - Map-level permissions: view-only, comment, or full editing access - Private sharing with specific email invitations - Real-time collaboration and live editing - Comment system with teammate tagging - Workspace and project-level access control
🤝 Collaboration Features: - Individual Map Sharing: Granular permission control, private email invitations, viewer vs editor roles - Real-Time Teamwork: Live editing, instant feedback, comment threads, @mention notifications - Workspace Management: Team member invitations, role-based permissions, organized collaboration - Project Organization: Client-specific access, team folder control, workspace privacy
💼 Perfect for: - Client presentations and reports - Working with stakeholders - Public outreach - Remote teams needing easy QA/QC
#FeltMaps #MapSharing #TeamCollaboration #GIS #EnterpriseMapping #SecureSharing #RealTimeEditing #WorkspaceManagement #MapCollaboration #BusinessMapping #ClientMaps #DashboardIntegration #GeospatialCollaboration #PrivateMaps #TeamProductivityStream Cloud-Optimized GeoTIFFs (COGs) from S3, GGS and Azure With This ToolFelt2025-05-19 | Tired of your valuable raster data sitting unused in cloud storage? Watch how Felt instantly transforms your buckets of Cloud-Optimized GeoTIFFs into a searchable catalog with a single click.
Still drowning in terabytes of satellite imagery, terrain models, and sensor data locked away in Amazon S3, Google Cloud, or Microsoft Azure? Despite using modern COG formats, you're still stuck with: - Complex indexing of large archives - Building metadata catalogs from scratch - Implementing custom tile servers - Fighting with browser rendering
Say goodbye to brittle workflows, custom scripts, and constant infrastructure maintenance!
✅ Felt's raster infrastructure eliminates ALL that complexity in one elegant solution.
Learn how to: - Transform cloud storage into searchable spatial catalogs - Connect directly to your existing STAC - Stream COGs directly to interactive maps - Skip the technical pipeline altogether
Perfect for climate scientists, energy analysts, infrastructure planners, and environmental monitoring teams who need their raster data accessible now.
🔗 Try Felt today: felt.comBuild Geospatial Apps with Felts New JavaScript SDK 🗺️Felt2024-11-12 | Take full control over Felt’s UI and create custom spatial applications with our all new JavaScript SDK.
#gis #javascript #mapsNEW in Felt! Regional Hosting🗺️(Enterprise)Felt2024-10-15 | We’re excited to introduce regional hosting support for our enterprise users.
You can now keep your data secure within your chosen region – whether that’s the United States, Canada, the United Kingdom, Australia, or the European Union. This ensures compliance with local regulations and eliminates worries about data transfer. Regional hosting also offers big performance advantages. And with Felt's top-tier security, you can rest assured that your data is always protected. We're SOC-2 compliant and adhere to GDPR standards, so you can confidently complete any analysis in Felt worry-free. If you’re ready to take control of your data, reach out to our technical sales team to learn more.
#gis #data #mapsWhat is a Spatial Index? (H3 Explained)Felt2024-10-04 | In this video, we dive into the world of spatial indexes, focusing on the innovative H3 Hexagonal Hierarchical Spatial Index. Learn about the advantages of H3’s hexagonal grid structure for accurate distance calculations and how its hierarchical resolution enables seamless zooming from broad country trends to detailed neighborhood insights.
0:00 Introduction 0:10 What is a Spatial Index? 0:32 Why Use H3? 0:41 The Hierarchical Nature of H3 1:00 The Benefits of H3 (Hexagonal Shape) 1:34 H3 in Felt
#gis #data #geospatialdataUnlock the Power of H3 in Felt (NEW FEATURE!)Felt2024-10-01 | In this video, we introduce Felt's new H3 spatial index support, which allows for instant visualization of geospatial data in hexagonal grids. Discover how our powerful features, like on-the-fly binning and auto resolution scaling, streamline your data analysis process. Unlock new insights and optimize your workflows with Felt today!
#gis #data #mapsHow to Join Data in Felt ➡️📊⬅️ (NEW FEATURE!)Felt2024-09-20 | The latest addition to our spatial analysis toolbelt is Join, which allows you to join the data of two existing layers in Felt. 📊➡️📊⬅️📊
Do you have data in ESRI feature servers? Discover how to seamlessly integrate your ESRI data in just one minute! In this quick tutorial, I’ll walk you through the simple steps to connect your ESRI Feature Server to Felt, explore the data, and visualize it effortlessly.
0:00 Intro 0:23 Open Up the Data Library 0:27 Select New Source - ESRI Feature Server 0:31 Enter Your ESRI Feature Server URL and API Token 0:40 Specify Who Has Access 0:43 Explore Your ESRI Datasets in a Preview Layout 0:56 Add a Dataset to Your Map
#esri #data #maps #datascienceGet Your Amazon Redshift Data on a Map (in 1 Minute)🚀Felt2024-09-12 | This is the EASIEST way to get your Amazon Redshift data on a map! 🗺️
Struggling to get your Amazon Redshift data onto a map? Discover how to seamlessly integrate your spatial data with a powerful and intuitive mapping tool in just one minute! In this quick tutorial, I’ll walk you through the simple steps to get your Redshift data over to Felt, explore your data, and visualize it effortlessly.
0:20 Open Up the Data Library 0:24 Select New Source - Amazon Redshift 0:28 Enter Your Redshift Credentials 0:39 Specify Who Has Access 0:45 Explore Your Redshift Data in a Preview Layout 0:56 Add an Amazon Redshift Dataset to Your Map
#amazonredshift #data #maps #redshift #datascience #gisGet Your #BigQuery Data on a Map 🗺️🚀 (in 1 Minute)Felt2024-09-11 | This is the EASIEST way to visualize your BigQuery data on a map! 🗺️
Looking to visualize your Google BigQuery spatial data on a map? Discover how to seamlessly integrate your spatial data with a powerful and intuitive mapping tool in just one minute! In this quick tutorial, I’ll walk you through the simple steps to connect BigQuery to Felt, explore your data, and visualize it effortlessly.
0:19 Open Up the Data Library 0:23 Select New Source - BigQuery 0:27 Enter Your BigQuery Credentials 0:32 Specify Who Has Access 0:35 Explore Your BigQuery Data in a Preview Layout 0:47 Add a BigQuery Dataset to Your Map
#bigquery #data #maps #datascience #googlecloud #googleSlide Through Time on Your Map ⬅️🕰️➡️Felt2024-09-06 | Layer Sliders enable you to slide through raster or vector map layers to spot changes, trends, and patterns more intuitively. *Layer Slider is exclusive to the Enterprise Tier.
Struggling to get your Databricks data onto a map? Discover how to seamlessly integrate your spatial data with a powerful and intuitive mapping tool in just one minute! In this quick tutorial, I’ll walk you through the simple steps to connect your Databricks database to Felt, explore your data, and visualize it effortlessly.
0:18 Open Up the Data Library 0:21 Select New Source - Databricks 0:25 Enter Your Databricks Credentials 0:36 Specify Who Has Access 0:41 Explore Your Databricks Data in a Preview Layout 0:52 Add a Databricks Dataset to Your Map
#databricks #data #maps #datascience @DatabricksGet Your Snowflake Data on a Map (in 1 Minute)Felt2024-09-03 | This is the EASIEST way to get your Snowflake data on a map! 🗺️
Struggling to get your Snowflake data onto a map? Discover how to seamlessly integrate your spatial data with a powerful and intuitive mapping tool in just one minute! In this quick tutorial, I’ll walk you through the simple steps to connect your Snowflake database to Felt, explore your data, and visualize it effortlessly.
0:16 Open Up the Data Library 0:21 Select New Source - Snowflake 0:25 Enter Your Snowflake Database Credentials 0:36 Specify Who Has Access 0:41 Explore Your Snowflake Data in a Preview Layout 0:55 Add a Snowflake Dataset to Your Map
#snowflake #data #maps #datascience #database @SnowflakeIncStudy of helicopter flight paths in New York City by the @gothamist. @Flightradar24DotComFelt2024-09-02 | ...Get Your #PostgreSQL Data on a Map (in 1 Minute)🚀Felt2024-08-30 | This is the EASIEST way to get your PostgreSQL data on a map! 🗺️
Struggling to get your Postgresql / PostGIS data onto a map? Discover how to seamlessly integrate your spatial data with a powerful and intuitive mapping tool in just one minute! In this quick tutorial, I’ll walk you through the simple steps to connect your Postgres database to Felt, explore your data, and visualize it effortlessly.
0:16 Open Up the Data Library 0:21 Select New Source - Postgres / PostGIS 0:25 Enter Your Postgres / PostGIS Credentials 0:36 Specify Who Has Access 0:41 Explore Your Postgresql Data in a Preview Layout 0:54 Add a Postgres Dataset to Your Map
#postgresql #data #maps #postgres #datascienceWhat is Felt?Felt2024-08-19 | Make maps, apps, and dashboards in seconds. Felt is a cloud-native GIS platform for everyone in your organization.
#gis #data #mapsA Tour of Felts New User InterfaceFelt2024-07-16 | We've made a lot of exciting changes with Felt 3.0. 🆕 Take a tour of our new user interface and see what's new. 👀
#gis #data #mapsIntroducing Felt 3.0 🗺️Felt2024-07-16 | Felt 3.0 introduces even more ways to get your data out of data silos, and into the hands of stakeholders across the organization–from sales to management, to clients and constituents. Connect your database (Postgres/PostGIS, Snowflake, with more on the way) and empower your entire team to build and interact with apps and dashboards to visualize the operational insights that matter to them.
#gis #data #maps#QGIS Quick Tip 04!Felt2024-07-02 | Get instant data insights with the statistics panel.Fundamentals of GIS Exercise 06 - Create a Map in Felt (in 2 Minutes)Felt2024-06-28 | In this exercise, you will explore the features and benefits of collaborative mapping tools by focusing on World Heritage Sites. You will access a provided map, gather and integrate information from various sources, and enhance your map with relevant details to tell the story of a selected site. For this example, we have chosen the City of Bath.
#gis #data #mapsFelt in the Modern GIS Landscape 🗺️Felt2024-06-27 | Felt has emerged as a solution to the limitations of traditional GIS, which often involved slow software and a lack of collaborative features. Recognizing the need for a more modern approach, Felt offers a fast, intuitive, and collaborative platform for mapping.
#gis #data #mapsGIS: From Desktop to the Internet🌐Felt2024-06-25 | The transition of GIS from desktop applications to the Internet has revolutionized the field, making it more accessible and user-friendly.
#gis #data #maps🏛️ Mapping Historic Buildings in LondonFelt2024-06-21 | In this tutorial, we'll use Felt's spatial analysis tools to map out grade 1 historic buildings in the boroughs of London.
0:00 Intro 0:25 Clip the Buildings to London 0:53 Filter by Grade 1 Buildings 1:31 Turn Polygons into Points with Centroids 2:02 Count Points in Each Borough 2:29 Style the Boroughs
#gis #data #maps🔧 Key Spatial Analysis ToolsFelt2024-06-20 | Transformation tools in a GIS help modify and analyze geographic data, creating new shapes or uncovering spatial relationships, making it easier to understand and make decisions based on that data.
#gis #data #maps🔍 3 Ways to Explore Your Spatial Data in FeltFelt2024-06-17 | In this episode of our Fundamentals of GIS series, we talk about three key spatial analysis tools.
#gis #data #mapsWhat is Spatial Analysis? (Explained in 1 Minute)Felt2024-06-11 | Spatial analysis involves the application of analytical techniques to geographic data, revealing valuable insights that drive decision-making across diverse domains.
#gis #data #mapsFundamentals of GIS Exercise 04 - Categorical Raster Styling and VisualizationFelt2024-06-06 | In this exercise, we will upload a categorical data raster file into Felt and visualize it accurately based on the landcover classification for each pixel value. Using data from the Multi-Resolution Land Characteristics (MRLC) Consortium, we will update the colors and legend values to correctly represent the various landcover types present in the raster dataset.
#gis #data #maps5 Ways to Visualize Raster Data in FeltFelt2024-06-05 | Felt provides five distinct visualization types for rasters: Image, Color range, Categories, Hillshade, and Raster Algebra.
0:00 Intro 0:27 Image 0:44 Color Range 0:59 Categories 1:17 Hillshade 1:31 Raster Algebra
#gis #data #mapsCheck Out Felts New API⚙️Felt2024-06-04 | Felt's new API offers powerful features to streamline geospatial data management and integration. Go check out our Developer Docs and get started today!
#gis #data #mapsNew in Felt!🔎Visible Map View Filtering 📷 New SymbolsFelt2024-05-30 | Check out the latest new features in Felt, including visible filtering and new symbol categories for pin elements.
#gis #data #mapsHow to Share QGIS Projects in 2024 😎 FREE PLUGIN!Felt2024-05-29 | Combine the analytical powers of QGIS with the collaboration features of Felt via our new Add to Felt plugin for QGIS. Web mapping has never been easier.
#gis #data #mapsVector Visualization and Field Types in GIS 🗺️Felt2024-05-13 | Understanding how different field types can be visualized is essential for effective data representation. Similarly, considering the vector layer type is crucial for choosing the most suitable visualization method. Here's how these concepts apply in Felt.
Some more resources: - Help Center: felt.com/help - Map Gallery: felt.com/gallery - Reddit: reddit.com/r/felt - LinkedIn: linkedin.com/company/feltmaps - Twitter: twitter.com/felt - "Add To Felt" QGIS Plugin: plugins.qgis.org/plugins/feltFundamentals of GIS - Exercise 02Felt2024-05-06 | Investigate the correlation between PM2.5 emissions and geographical regions across South America by creating a custom vector layer in Felt. Incorporate WHO data on PM2.5 emissions for each country in the region and include essential metadata. Conclude by exporting the layer as a geopackage for seamless integration into other software applications.