This tutorial aims to discuss how to calculate distance and bearing in Power BI and how to efficiently use them for geospatial analysis. You can find a lot of distance calculations on the web. For this demonstration, I’ll use a simplified example of a solution I needed to build for one of my supply chain
Finding the center of gravity of a cluster of locations is a common task for people working with Geographic Information Systems. One example is when looking at the allocation of addresses to a depot or engineers to a working area. Although Power BI does not yet support true multiple dynamic layers in the map visuals,
In this tutorial, we’ll learn how to do a Huff Gravity Model analysis in Power BI. We can use this analysis to estimate the potential sales or attractiveness of a certain store location. We usually do this in Geographic Information System software. However, we can also do it in Power BI and make it dynamic.
In this blog post, I’ll be introducing Power BI Geospatial Analysis for building compelling and dynamic maps in reports. Geospatial analysis in Power BI usually has a lot of restrictions. In fact, displaying actual multiple layers is not possible and requires some data manipulation. Moreover, both the default and downloadable visuals perform differently in geocoding
