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An Introduction To Artificial Intelligence for GIS and Geospatial people

An Introduction To Artificial Intelligence

by Daniel ODonohue 17 min read

If you think AI solves every problem, then you’re overestimating its utility and where we’re at. However, on the other side, if you’re a business of any size, operating at least some type of technology, and you think AI can solve none of your problems — you’re also mistaken.

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GDAL - Geospatial Data Abstraction Library. GIS / Geospatial podcast and blog

Geospatial Data Abstraction Library - GDAL

by Daniel ODonohue 18 min read

GDAL stands forGeospatial Data Abstraction LibraryYou will find people pronouncing it variably asgee-dal, orgoo-dle. I come back to goo-dle frequently because it trips off the tongue a little more easily than gee-dal.Goo-dle was the original pronunciation. The founder of the GDAL project pronounced it goo-dle for many years. When he stopped being the maintainer of the project, he took a job with Google and found it difficult to say he worked at Google and was the founder of the GDAL project. 

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Access to spatial data, geospatial podcast for spatial people

Access to spatial data - making room for unexpected contributors

by Daniel ODonohue 18 min read

Are we making data available to those unexpected contributors? And are we making it available at a resolution sharp enough or high enough for the Dr. John Snows to have found that well?
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Geospatial innovation

Geospatial Innovation - what it might look like

by Daniel ODonohue 12 min read

The applications of the satellite systems are endless and we separate them into different market segments. For example,agriculture,location-based services (mainly phones),transport usages (navigation on roads, rail or maritime), andaviation (landing procedures heavily rely on EGNOS).Thegeomatics market is important; it’s a segment that’s usually the first adopter because they need the highest precision locationing.

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From GIS Analyst to Software Engineer, programming for GIS analysts

From GIS Analyst to Software Engineer

by Daniel ODonohue 17 min read

I liked the geospatial component of things. I enjoyed solving a problem and then seeing the result. It wasn’t just a Microsoft Excel model or some database table. It was something I could visualize in GIS software. If there had been a path to becoming a more in-depth GIS analyst at this company, I might have stayed on it.

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4d voxel model of the world, building a digital twin of the planet

Building a 4D Digital Twin of the Planet

by Daniel ODonohue 14 min read

What is a voxel?. It’s a 3D volumetric pixel, a cubeBut voxels are nothing new. They’ve been used extensively in two key areas within computing. Computer games render worlds and use voxels instead of polygons. Minecraft is a good example — it’s a voxel rendered world. Gaming companies love voxels for their multi-resolution capability over polygons. Robotics uses voxels for image processing to reduce the size of LIDAR point clouds and to create small dynamic maps — or what we call VOG (Voxel Occupancy Grid) — for robots.

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Mapping the ocean floor, seabed 2030

Mapping The Ocean Floor

by Daniel ODonohue 16 min read

Most of the data seafloor bathymetry data — it’s from inversion from gravity. They measure gravity, rather ingeniously, using satellite altimetry and looking at the slope of the sea water’s surface. Imagine a flat chunk of ocean with a perfectly flat sea bottom. If you stick a sea mountain on the bottom, gravity pulls the water a little closer to it, and there’ll be a little hill of water sitting over that sea mountain.

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