Geospatial

Apple’s Machine Learning Researchers Have Developed A No-Code AI Platform Called ‘Trinity’ For Complex Spatial Datasets
AI Apple

Machine Learning Researchers at Apple Have Developed A No-Code AI Platform for Complex Spatial Datasets

Apple’s machine learning research team has developed a no-code Artificial Intelligence (AI) platform called Trinity. This AI is designed to enable machine learning researchers and non-technical geospatial domain experts alike to experiment with different signals or datasets in order to solve problems on their own, such as complex issues that arise from the world around […]

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Databricks

Optimizing Geospatial Queries with Dynamic File Pruning

One of the most significant benefits provided by Databricks Delta is the ability to use z-ordering and dynamic file pruning to significantly reduce the amount of data that is retrieved from blob storage and therefore drastically improve query times. Taking advantage of this approach over petabytes of geospatial data requires specific techniques, both in how […]

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Data Visualization PowerBI

How to Create Map Style Nested Chart in PowerBI

RADACAD in this short video, shows us how to create a map style chart with a bar chart or packed scatter chart or using images.

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Covid Pandemic Data Visualization Databricks

Encoding multi-layered Vega-Lite COVID-19 Geodata visualizations

Visualizations are a powerful tool for communicating results to end-users and stakeholders. Their development and life-cycle management are no less challenging than the underlying processes producing the results they communicate. Databricks explains how this is helping with the COVID pandemic. Our team overcomes these challenges by leveraging Vega-Lite to encode visualizations as JSON objects and […]

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Azure IoT

Azure Maps Weather Services for Developers

Azure Maps Weather services (https://aka.ms/iotshow/AzureMapsWeatherService) add a new layer of real-time, location-aware information to Azure Maps portfolio of native Azure geospatial services. Bringing Weather Services to Azure Maps means IoT developers have a simple means of integrating highly dynamic, real-time, historic and forecasted weather data and visualizations into their applications through their existing Azure subscriptions. […]

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Azure IoT

Geofencing with Azure Maps

Geofencing has many practical applications. A geofence is a virtual boundary defining an area on a map. Using tools in Azure Maps, Jim demos how to test if a coordinate is inside or outside the Microsoft Redmond campus boundary. It can be used to send an alert if an expensive piece of machinery leaves a […]

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Azure Data IoT

Clustering Point Data in Azure Maps

If you have large data sets that seem too big to map, then watch this IoT show to learn how to cluster data in Azure Maps so your users can rapidly extract insights from very large data sets. Ricky Brundritt, Principal Technical Program Manager, Azure Maps, takes you on a historical journey from grid-based clustering […]

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Azure Big Data

Retail Location Analytics with Azure Maps

Learn how to use Azure Maps (aka.ms/MapsTechCommunity) to analyze a catchment area around a retail store. ShiSh Shridhar, Principal PM in the Azure IoT Team , who spent 15 years on the Microsoft Industry Retail team, will demo how to build a catchment analysis for a café in downtown Seattle. Learn how Azure Maps can […]

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VDSR4Geo (Very Deep Super-Resolution For Geospatial Data)
Generative AI TensorFlow

VDSR4Geo (Very Deep Super-Resolution For Geospatial Data)

Here’s an interesting look at upscaling satellite imagery using AI. VDSR4Geo is a tensorFlow implementation of “Accurate Image Super-Resolution Using Very Deep Convolutional Networks” adapted for working with geospatial data Read more github.com

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Bringing Deep Learning for Geospatial Applications to Life
AI TensorFlow

Bringing Deep Learning for Geospatial Applications to Life

Here’s an interesting look on the use of AI and machine learning in the geospatial world.  Given the huge datasets found in remote sensing, it’s not surprising to see that field leading the way in cutting edge data analytics. From a geospatial perspective, machine learning has long been in wide use. Remote sensing datasets have […]

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