A digital twin is a digital replica or model of a living or non-living physical object. Geospatial and CAD data often provide the physical context for these objects but no digital twin would be complete without different real-time or near real-time data streams.
Anita Graser is a legendary open-source geospatial Python expert. With her extensive knowledge of the subject, she is here to convince us of why Python is a great language and how we can all get started learning it. Stick around to see the benefits and learn why Python may or may not be an option for your GIS project.
Two free and open-source apps that will help you collect GIS data in the field and synchronising that data to a centralized database. Online or offline these apps are integrated into the QGIS ecosystem and they just work!
GIStechnology is underutilized. There is a huge opportunity for professionals in the geospatial industry to be leaders and not just mapmakers. Cartography is an important part of what GIS professionals do but it does not have to be the only thining that they do.
Historically, CAD was used to draw buildings and facilities. These systems were never meant to store complex attribution we take for granted in the GIS world today. This geospatial podcast episode explores the differences between Computer aided-design and geographic information systems.
The Mars Rover Project. Autonomous robots monitoring substations. How is this all relevant to the geospatial community? Scott Nowicki is happy to clarify. He explains the technology that enables robots to integrate detailed maps, orientate, and move around their environments as they go on their daily business and build detailed change detection maps for substations and facilities management. But the question is, can they and do they truly add value to operations where human presence is difficult or unnecessary?
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"
Serving dynamic vector tiles might not be as difficult as you think. Paul Ramsey from Crunchy Data starts off by walking us through the early days of PostGIS, explaining what a vector tile is and the advantages over image tiles before explaining how you can easily and safely serve your own data as vector tiles straight from a PostgreSQL database.
The changing world of eath observation and some of the challenges facing the industry at the moment. We also discuss remote sensing space with regards to the Gartner Hype Cycle and discuss the role of non-traditional players in the earth observation space. GIS / Geospatial podcast about remote sensing and earth observation.
Geo-coding is not a solved problem but it is a very important step in locating and describing addresses with rooftop level accuracy is the first step in building risk profiles.
R is perhaps the most powerful computer environment for data analysis that is currently available. Tim Appelhans joins me on the show today to talk about his journey from learning R too developing new packages and extending the geospatial visualization capabilities of R
Drones are changing the frequency, resolution, and scale of geospatial data collection. SkyCatch is applying drone-based data collection to the mining industry which might just be the first step on the journey to an autonomous workplace.
An interview with one of the founders of Safe Software, Dale Lutz (an all-around nice guy and a thought leader in the geospatial world). Dale walks you thought the evolution of the problems that Safe is solving, and gives you insight into the fallacy of the one “file to rule them all” theory and talks about trends in the geospatial file formats and data exchange in general.
n 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.
What3words divides the world into a 3 * 3-meter grid, each square is uniquely identified by three words which creates a global reference system that allows people to identify and navigate between these 3*3 meter squares using 3 words instead of longitude and latitude.
Collecting and validating geospatial data for every commercial location in the USA and Canada is not an easy task. It requires aggregation of data from multiple sources and formats. This data then needs to be validated and decisions need to be made about which data sources represent the truth.
The curbside might not seem like the most obvious focus point in terms of mapping the urban environment but when you start to think of the curb as a highly regulated space and when you consider the number of arrivals and departures that that place on the curb in crowded urban environments.
Geomob provides a forum to learn and exchange ideas about any interesting services and projects that deal with location. Everyone working in or curious about the location space or with location services is welcome.
