My passion is conservation. I was an archaeologist for eight years before I got into my second career, GIS. I would be out on sites surveying for archeology and come across mass developments where they'd bulldoze everything in the way of a pipeline. It was crushing me.
It's not really about the technologies we use, its about understanding the principles behind the technologies, and where and when to apply them. Spatial thinking is the key skill, we don't need to master every new GIS tools, just knowing that they exist might be enough.
For most people, when they think aboutthe relationship between GIS and COVID-19, the obvious solution is tracking data. At the highest level, if there is any spatial relationship between where we are in our societies, where we go, who we interact with, and spread the disease, our measurements, thenour policy tools must also have a geospatial component to capture that effect.It's not a question of whether spatial data and spatial analysis matter for COVID-19. The problem is understanding what tools exactly can be used for specific insights and decisions.
GPUs have orders of magnitude more processors. However, they're not as general-purpose as CPUs. They do discrete bits of work that are more or less the same weight. If you can figure out how to subdivide a problem into 20,000 pieces of equal weight, they will do it in less than a snap of a finger.
It's adiscrete system, breaking up the world into discrete cells. Every position in the world has a cell identifier associated with it. It's global. In H3, we subdivide each cell into seven smaller cells. If you try to draw that out, you’ll realize it doesn't fit right. We had to make some compromises ...
Google Cloud’senterprise data warehouse. It’s an immensely scalable and quick data storage and processing product that got a geospatial facelift a couple of years ago. Users interact with BigQuery with standard SQL verbs. It feels like a relational database except you can have relations and tables that are petabytes big ̶ but to the user, it’s still just a simple case of typing in SQL.
We now live in an age where almost everything is customizable and can be adapted to our individuality. In previous eras, maps were physical documents. If you went hiking and you took a one-to-one map with you, where would you even put it? It wouldn't be helpful. In the digital realm, we capture the information from smartphones, from IoT devices, intelligent cars driving around, satellites, and building sensors. We put these into place and have a perfectly clear picture of the world in its digital format—this is your digital one-to-one map.
The spatial internet of things is the ability to connect low-cost sensors over the internet and track devices, equipment, and people in real-time. It’s the next generation of the internet.
Segmenting data and audiences is really big at the moment, its about getting the right message to the right person at the right time. Geospatial is a big part of that, it's about putting your data in context.
Everything happens at a location and at a specific time. Why have GIS standards ignored the temporal aspect of data, why don't we have the same kind of functionality for spatial-temporal data that we have for spatial data? Anita Graser, the creator of the time manager plugin for QGIS answers these questions.
Property is surrounded by a legal space that the government defined and sectioned off to the owner with a street address for tax purposes. It’s a polygon, rectangle, or square space. A host of other information is connected to that parcel, such as when it was first subdivided, is there a structure on it, and does it have utility hookups? What are the permissions, zoning, and taxes owed on it?
Remote sensing with a difference. That’s what Ellen Christopherson, CEO and founder ofclearGrid, is here to talk about. Their unique way of collecting radio frequency (RF) data makes them a valuable partner for utility and energy companies that do any type of meter readings and billings. Ellen’s background in aviation engineering gives her an edge to see how technology can deliver efficiency in this space.
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.
The confluence of open data, just enough availability of hardware, software, computing power and being laser focused about the industry you are trying to serve.
Geospatial data is not always easy to find. The open data revolution and the abundance of data available on the global market have created a very fragmented environment and it is often difficult to know where to look to find what you need.
Removing the barriers to entry by making it easy to create immersive geodata visualisations that tell a story and explain a process. Maple Precision has incorporated insights from the gaming industry to create a platform that organises spatial data for a variety of ....
Every building has its own geomagnetic fingerprint and by mapping that fingerprint against a floorplan of the building IndoorAtlas is able to provide accurate location and navigation inside. The genius of this system is that it takes advantage of an existing geomagnetic infrastructure.
Location gives context to data but it can also be used to give context to experiences. Radar is a platform for geofencing and location tracking. In this interview with Co founder Nick Patrick we discuss the opportunities around using location to deliver contextualised experiences to users
WatchKeeper International is using real time data feeds from a variety of different sources to monitor and mitigate risk and location is the thing that gives context to the data.
Humanitarian emergencies often strike without warning, destroying lives and livelihoods within a matter of seconds. In the immediate aftermath, the challenge for those responding is to know where to start.
Google Street View for rivers. The creators believe that the ability to virtually explore river environments is going to fundamentally change the way we understand waterways.
Using computer vision to create and maintain map data at a street-level is something that Google has been doing for years. But what if you crowdsourced that data collection ... what if you could access the database that was created ... and what if anyone could participate.
A podcast episode about how location can be the means of providing delivering personalized risk assessments and alerts to workers in the field. Maps helping people be safer.
Geo-Tagging audio is another way of augmenting reality. Audio is triggered when a listener enters a geofenced space and the experience is controlled but the physical location of the listener. While geo-locating text, images and videos has been common place on social media the locative audio is only now coming of age.
