0

Your Cart is Empty

Travel Time - A better way of doing location based search

December 18, 2019 1 min read

Travel Time - A better way of doing location based search

 A podcast for the geospatial community

 In some respects, we are all drowning in data and one of the big challenges going forward will be filtering the data we have so we can make sense of the world by removing the noise. The Travel Time Platform approaches location-based search form the perspective of the time it takes to reach a destination. So in the example of searching for the nearest movie theater, the user will not be presented with a result that shows the options based on a certain travel time limitation as opposed to movie theaters in a straight line distance. In this interview, Charlie Davies walks us thought the challenges of building a search engine based on travel time and what this might look like in the future.

This episode is sponsored by HiveMapper

A platform that takes video and creates 3D mapping layers based on that data. The video can be from avariety of different sensors, does not need to be vertically looking down on the geography and each 3D output is georeferenced!

 

 Subscribe here

Apple Podcasts  - Stitcher - Google Podcasts - Spotify

The Podcast RSS feed: https://mapscaping.podbean.com/feed.xml

Or search for The MapScaping Podcast wherever you get your podcasts

 



Also in THE MAPSCAPING PODCAST

GeoNode open source geospatial content management system, GIS and Geospatial podcast
GeoNode - Open Source Geospatial Content Management System

September 15, 2021 5 min read

GeoNode is an open-source geospatial platform, catalog, and content management system (CMS). The general functionality can be most likened to ArcGIS Online. Users can create filtered searches for their choice of geospatial data, by using keywords, and even filtering locations by selecting a bounding box on a map.
Read More
mapping drones, LiDAR from Drones, geospatial data collection from drones
LiDAR From Drones

September 08, 2021 6 min read

Drones generate a lot of data. So much data, that the software intended to process it needs for it to be thinned before it can be used. It can be tricky to dumb the data down, intelligently. You may be needing to reduce 300 points in a 1x1m square, down to a single point. Generally, these complicated decisions will be streamlined through use of algorithms that can help smooth the overall data.
Read More
Hiring And Being Hired For Geospatial Jobs
Hiring And Being Hired For Geospatial Jobs

September 08, 2021 6 min read

Crafting a quality application for a job you really want takes time, so you do not want to spread yourself too thin. When constructing your CV, it is important to keep your audience in mind. Realistically, the first set of eyes will likely be a computer algorithm, scraping the submitted CVs for certain keywords.

Read More