This week on the podcast Kent Marten from Tableau explains the cross over between business intelligence tools and traditional GIS software. We also explore the challenges around self serve mapping and answer the question "Is location still the next big thing"
This episode is sponsored by GraphHopper
GraphHopper provides web services to add for route planning, navigation and route optimization to your application in the food delivery industry or for traveling salesmen.
To put it simply, point clouds are a collection of XYZ points that represent some real world object of nearly any scale.They can be generated in a few ways. As geospatial scientists, we mostly work with LAS/LAZ data collected by aerial LiDAR (light detection and ranging) scanners at varying scales, from landscapes, down to project sites. We may also derive point clouds from highly detailed orthoimagery of an area, such as from the products of a drone flight.
As a data scientist, you don’t just go in and solve problems. You make recommendations to multi-faceted issues so that you get a fantastic model in the end. You’ll also be advocating a better use and understanding of the data while you do that.