The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography

Entity resolution is the process of matching and merging records from different sources that refer to the same entity.   today's episode is about entity resolution for place data, why you might want to do that, and what any of this has to do with the dollar, Unix time and the idea that If data is really driving innovation, join keys are going to become more valuable.   Today's guest is Auren Hoffman https://www.linkedin.com/in/auren/ https://twitter.com/auren https://www.youtube.com/@worldofdaas   If you want to try Placekey for yourself go to https://www.placekey.io/   If you want to learn more about SafeGraph listen to this podcast episode https://mapscaping.com/podcast/building-geospatial-truth-sets/          

This podcast explores how to get strategic buy-in for FOSS4G in organizations. It discusses addressing concerns about security and IP protection, perspectives of external and internal stakeholders, collaboration and empathy in decision-making, challenges of implementing open source technology in corporate environments, benefits of open source solutions, and accessibility and support in open source communities.

Topics discussed in this podcast include the evolution of positioning systems, the role of Wi-Fi positioning and 5G, visual positioning systems, the potential of low Earth orbit satellites, predictions for the future of navigation and positioning technologies, and the importance of combining different positioning technologies for seamless navigation.

Jennings Anderson, a research scientist at Meta, discusses the Overture Maps Foundation and the Daylight Distribution. He highlights the importance of stable ID systems and the integration of third-party data. Jennings explains the relationship between OpenStreetMap and Overture Maps, emphasizing how they complement each other.

100 billion Points Every Day 100 billion is a very large number, let's say that I gave you a spreadsheet with 100 billion rows in it, each row consisted of five columns Latitude, Longitude, Device ID, A Timestamp, and a column telling the name of the data provider What would you do with that?  How would you clean it? Make sense of it? Extract value from it? What would people use it for? And how would you do this in a way that could be systematized? FourSquare does this every day with the help of something they call a movement engine. To help understand more about how they do this I have invited Gabriel Durkin the director of data science on the podcast. This is the last in a series of episodes I have worked on together with FourSquare and I have to say it's been really enjoyable working with them.  If you are interested in hearing some of the previous episodes just check out the links below!   From Pixels To Patterns AI In Spatial Analysis https://mapscaping.com/podcast/from-pixels-to-patterns-ai-in-spatial-analysis/ Big Data In The Browser https://mapscaping.com/podcast/big-data-in-the-browser/ Spatial Knowledge Graphs https://mapscaping.com/podcast/spatial-knowledge-graphs/ Designing For Location Privacy https://mapscaping.com/podcast/designing-for-location-privacy/ All Of The Places In The World https://mapscaping.com/podcast/all-of-the-places-in-the-world/ Geospatial Jobs   There are a few new jobs on our Job Board! The most interesting one is the role of Social Media Manager at Felt - United States (Remote)  ( If you want to apply for this one, it might be a good idea to listen to this episode first ;)  https://mapscaping.com/podcast/felt-upload-anything/ ) See more at https://mapscaping.com/jobs/   As a bonus for reading all the way to the end :)    If you are looking for free terrain data for anywhere in the world you might find this useful  https://github.com/openterrain/openterrain/wiki/Terrain-Data Some more episodes you might enjoy   ESRI, GIS careers, Geospatial Data Science  QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

Learn about the importance of labeled datasets in computer vision and the concept of synthetic data generation. Explore the career journey of Chris Andrews from Rendered AI, specializing in synthetic computer vision data. Discover the use of physics-based synthetic data generation and the trend of reality capture and digital twins. Dive into the challenges of training AI systems and the future landscape of synthetic data in computer vision.

An interview with a senior data scientist from Hub Ocean, a platform for unlocking and uniting ocean data. They discuss the challenges of implementing data hubs and the concept of fair data. The importance of ocean data, app development for data analysis, and the availability and accessibility of ocean data are also explored. The podcast highlights the need for data sharing and collaboration in the ocean data space.

Learn about FELT, a unique mapping tool that allows users to upload any type of data without specifying the format. Explore the features of Felt, such as the 'upload anything' button and real-time spatial collaboration. Discover the world of GPS art and how Felt enables users to create traced routes. Gain insights into the company's hiring and monetization plans, and their vision of encouraging map creation.

Rapid is a free open-source web-based editor for an OpenStreetMap. In the past the focus was on conflating AI-generated datasets with OpenStreetMap data but the future for this editor is conflating authoritative datasets with OpenStreetMap.  Humans are in the loop, people reviewing data authoritative datasets and adding them to OpenStreetMap with a few clicks!  So you might be wondering, what is Authoritative data? And perhaps it doesn’t even matter what authoritative means maybe the most important thing is it correct. If you are interested in OpenStreetMap you might enjoy this episode  https://mapscaping.com/podcast/openstreetmap-is-a-community-of-communities/ which is a great introduction to OpenStreetMap as a project but also explains some of the commercial interest in updating the map which adds a lot of context to Rapid and its development and future.   Humanitarian OpenStreetMap Team If you have not heard of Humanitarian OpenStreetMap Team this is well worth checking out!  https://www.hotosm.org/   Segment Anything  (SAM) can segment objects by simply clicking or interactively selecting points to include or exclude from the object. This makes it a user-friendly tool for image segmentation. https://segment-anything.com/   Mapillary Mapillary is a platform that provides street-level imagery and map data from all over the world. The platform is powered by collaboration and computer vision, which helps in generating and maintaining up-to-date, detailed maps. https://mapscaping.com/podcast/scaling-map-data-generation-using-computer-vision/   GeoSpatial Jobs! Drone Deploy’s Earthworks team is looking for an experienced Back End Engineer Full time / Remote NV5 is looking for a Senior GIS Analyst https://mapscaping.com/jobs/ Want to help? I could really use some support!   Some more episodes you might enjoy   ESRI, GIS careers, Geospatial Data Science  QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

The promise of digital mapping is to provide a shared and real-time view of the state of the underlying system. pg_eventserv is a free and open-source component that helps fulfill the promise of real-time event modeling and shared views in PostgreSQL. By connecting to PostgreSQL and listening on specified channels, pg_eventserv captures database notifications and forwards them to web clients, enabling real-time updates and synchronization of data displayed on maps or other web interfaces. pg_eventserv does one thing and one thing only: take events generated by the PostgreSQL NOTIFY command and passes the payload along to waiting WebSockets clients. pg_eventserv is free and easy to install and you can find it here: https://github.com/CrunchyData/pg_eventserv What this means is that any client can watch for notifications and update as changes in the database happen. Real-time data! Here is a link to a Youtube video demonstration of pg_eventserv in action! https://youtu.be/UakRtYmoWow  I will let Paul Ramsey the creator of pg_eventserv explain all this in more detail in this episode.  If you want to reach out to Paul the best place to do that is http://blog.cleverelephant.ca/  Or if you want to listen to previous episodes with Paul you might find these interesting Raster in the database? https://mapscaping.com/podcast/rasters-in-a-database/ Dynamic Vector Tiles Straight From The Database https://mapscaping.com/podcast/dynamic-vector-tiles-straight-from-the-database/ Spatial SQL- GIS Without The GIS https://mapscaping.com/podcast/spatial-sql-gis-without-the-gis/   also ...  If you are interested in spatial databases at scale ... you might find this episode interesting https://mapscaping.com/podcast/distributing-geospatial-data/     Some more episodes you might enjoy   ESRI, GIS careers, Geospatial Data Science  QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping