Greetings! Welcome to Venky Rao's blog on Predictive Analytics, Geospatial Analytics and Visualization. This blog aims to present interesting analysis of geospatial data and to de-mystify predictive analytics for the layman. My blog is featured on: http://www.kdnuggets.com/ - Analytics and Data Mining Resources AND http://www.datasciencecentral.com/ - The Online Resource for Big Data Practitioners.
Using data from USGS (https://earthquake.usgs.gov/earthquakes/feed/v1.0/csv.php), I created a 3D web map of all earthquakes that occurred on 3 May 2017 with a magnitude > 1.0 on the Richter scale. Here's a screenshot of my 3D web map:
Working with a collaborator who published a map service that showed the growth of US cities through time (from the year 1790 through 2000), I created an interactive time enabled web app. Here's a screenshot:
Here's my very first 3D Web Scene that visualizes natural disasters and two cities (Portland and Montreal): http://arcg.is/01jbSq
A 3D Web Scene is Esri-speak for a 3D web map. You can zoom and pan, re-orient, change basemaps, change the daylight settings, explore different views and do lots more. Here's a screen shot of all typhoons represented on the 3D Web Scene:
In this screenshot, typhoons are represented as cylinder symbols, with greater heights representing higher wind speeds and darker colors representing lower barometric pressures.
If you don't want to leave my beautiful blog (I don't blame you), you can check out the embedded version of the 3D Web Scene right here:
Using ArcGIS online and some simple instructions from Dr. Pinde Fu of Esri, I re-created a simple web app for selecting restaurant locations in USA. This web app allows users to choose between two competing locations for opening a full service restaurant based on some interesting analytics capabilities like driving distance in time based on historical traffic patterns, the latest demographic information of the locations including population, disposable income, etc.
Here is a screenshot of the results of analysis done on service area of one of the locations based on a 15-minute drive time distance if usual traffic at 6pm on a Friday is taken into account: