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Go to:The Database for Space and Time Spatial Analytics: Optimizing Graphs on Geospatial Features For Things That Matter: Enjoyable Scenic Drives By Saif Ahmed, Scott Little, Julian Jenkins, Kaan Karamete, Pat Khunachak, and Chad Meley We are all accustomed to satellite navigation and some of the options it gives us — avoiding tolls, avoiding highways, etc.…
Kinetica recently introduced a new native Azure Marketplace experience. Now, it’s easier than ever to get started with the Database for Time and Space. With just a few clicks, you will be able to provision Kinetica from the Azure Marketplace into your Azure subscription. With the free tier (size Extra Small) and pay as you…
Geospatial data is any data that has a geographic component to it. A geographic component simply implies a location (or a set of locations) that can take the form of simple points on a map with latitude and longitude coordinates or more complex shapes that describe lines and boundaries, or even elevation. Examples could include…
Multiple Supply Demand Chain Optimization (MSDO), is a common logistical problem where there are multiple sources and sinks and you’re looking for the most optimal delivery routes.
In this tech note, we’ll examine various data visualizations in Kinetica. In general, a typical data set might have both spatial and temporal components, called spatio-temporal. The nature of the spatial data variation is usually continuous.
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