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Being A Professional Geographer

Being A Professional Geographer

by Daniel ODonohue 14 min read

There is a distinction in GIS between the people who use the tools with their knowledge and the people who develop those tools with a view on how the client will use them. I started out developing GIS products and environments for people and professionals to use.  Then, I became more interested inwhy they used that data andhow they were using my tools in those ways.

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geospatial augmented reality

geospatial augmented reality

by Daniel ODonohue 15 min read

Figuring out the viewpoint of the camera is a big part of augmenting reality. The camera has six degrees of freedom.The first three are straightforward — xyz coordinates. Or latitude, longitude, and elevation. Those give you a point in space.For a camera we also need to define the Euler angles — the yaw, the pitch, and the roll — especially if we care about what the camera is pointed at.This is the full six degrees of freedom state, also referred to as the pose.

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Satellite-based Augmentation System, GPS base station in the sky

Satellite-based Augmentation System - A base station in the sky

by Daniel ODonohue 14 min read

SBAS stands for Satellite-Based Augmentation System to standard GPS or GNSS signals. It’s a service that improves the quality of positioning from GPS — from multiple meters down to sub-meter level.SBAS uses similar technologies to other high-precision correction services people might be familiar with. It leverages an entire network of continuously operating reference stations around the ground area.

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Openlayers - Geospatial JavaScript

Openlayers - Geospatial JavaScript

by Daniel ODonohue 9 min read

OpenLayers is a fully grown-up programming language. It runs both in the client and on the server, such as when you visit modern websites where you can edit documents or spreadsheets.
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Why start a geospatial podcast?

Why start a geospatial podcast?

by Daniel ODonohue 9 min read

I got introduced to GIS and Earth observation (or remote sensing), which honestly, I hated. I took a few classes but couldn’t warm to it. Still, I had to pass the semester. As I was preparing for the exams, going through my notes, reading the required reading—slowly but surely, the usefulness of it all dawned on me
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GRASS GIS probably doesn’t get the attention it deserves

GRASS GIS probably doesn’t get the attention it deserves

by Daniel ODonohue 10 min read

GRASS isnot limited to academia. It’s for anyone who needs simple to complex geospatial processing in whatever format or data model—raster, vector, 2D, 3D, and time series.  Awide variety of businesses are using GRASS for data extraction, and provision of conclusions or analysis on top of extensive data.
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Machine learning and object detection for the rest of us

Machine learning and object detection for the rest of us

by Daniel ODonohue 9 min read

You train a detector by teaching the machine learning model what you’re looking for by giving it examples. You give examples and see how it does. If it doesn’t do well, you give it more examples. You iterate until you get good enough results.
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Raster Frames, spatial imagery in apache spark

Raster Frames - Making imagery a first class citizen of apache spark

by Daniel ODonohue 12 min read

Commercial satellite providers produce somewhere between 100 and 200 terabytes of imagery a day ̶ a monstrous amount of information. Sentinel 2 has five years of daily refresh data. We have 40+ years of Landsat data. It’s a massive amount, particularly in the temporal dimension, where you can do longitudinal studies. Apache Spark and Raster Frames might just be the tools we need to handle this much data.

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GIS education and training

GIS education and training, online and in-person

by Daniel ODonohue 11 min read

With the open data movement, there’s an ubiquity of data. We can let students pick their own data on topics that interest them. They find their own data for a geographic area they’re interested in, perhaps where they live or where they’d love to travel. They make connections to their own interests and lives. The more they’ll see the relevance of what they’re learning, the more they’re motivated.

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cloud detection

cloud detection

by Daniel ODonohue 9 min read

The biggest value you get from satellite images is that you can see what’s on the ground. If there is too much water vapor in front of the satellite imaging sensors, it obscures the Earth’s surface, and you might lose all value of the platform.
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Open source GIS business, QGIS geospatial software

Business Built On Open Source GIS

by Daniel ODonohue 10 min read

WHAT IS OPEN SOURCE SOFTWARE? It’s software thatshares the actual instruction code, and the binary you run on your computer. There are different versions and variants of how that sharing happens. Essentially, you get access to the underlying recipe of the software. You can modify it and adapt it for your needs. This episode is all about building a business based on open source GIS software.

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location Privacy and Data Ethics

location Privacy and Data Ethics

by Daniel ODonohue 8 min read

On one side, we have the promise of personalization of being seen and understood, provided we share our data about how we interact with the world. That data can be used to make things better. On the other side, we risk being exposed or being manipulated and treated like a product instead of the customer. In terms of data privacy, location plays a massive role. We, the geospatial community, play a role in this conversation.

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Communicating with maps - The art of cartography

Communicating with maps - The art of cartography

by Daniel ODonohue 9 min read

Artists, mathematicians, and scientists think about their work as a structure that already exists. Their job is to chip away at the detritus. They clear the noise and the content that distracts. They dig up the bones of a fossil and work on revealing a structure that’s already there.

Take Michelangelo, who, by his own admission, was onlyfreeing David from the surrounding marble.

Mapmakers let the geographic content ̶ the data and the layers ̶ communicate.

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Self Employed In The Earth Observation Sector

Self Employed In The Earth Observation Sector

by Daniel ODonohue 15 min read

If you're going freelance or self-employed in the earth observation sector, then youneed to have confidence in yourself and your ability to deal with the things that might get thrown at you. Its also important to remember that your confidence will increase with time.
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Spatial SQL - GIS without the GIS

Spatial SQL - GIS without the GIS

by Daniel ODonohue 15 min read

What is SQL? - It's a structured query language. Putting it into terms of the history of languages, it's a language to query language. It's what computer scientists call a fourth-generation language.
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Elastic Search

Elastic Search

by Daniel ODonohue 9 min read

What Elasticsearch can do for geospatial users, How it’s different from Postgres? Who should use it? Why it’s a special subset of NoSQL databases? All these answers and more i this episode of the MapScaping Podcast!

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Self-employment in the GIS Geospatial industry

Self-employment in the GIS Geospatial industry

by Daniel ODonohue 12 min read

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.
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Spatial thinking and geospatial technologies

The long tail of geospatial

by Daniel ODonohue 15 min read

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.
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GIS spatial research into the covid-19 virus, a geospatial tracking case growth over time and space

COVID-19 Spatial Research

by Daniel ODonohue 15 min read

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.

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Spatial GPU processing podcast for the GIS community

Open Source Spatial GPU Processing

by Daniel ODonohue 20 min read

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.
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GIS podcast about the Uber's H3 geospatial grid system

H3 geospatial indexing system

by Daniel ODonohue 11 min read

It's a discrete 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 ...
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Big Query GIS geospatial functionality for data warehousing

Google BigQuery GIS - Geospatial in the Cloud

by Daniel ODonohue 11 min read

Google Cloud’s enterprise 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.
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A One to One Map Of The World

A One to One Map Of The World

by Daniel ODonohue 9 min read

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.

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The Spatial Internet of Things

The Spatial Internet of Things

by Daniel ODonohue 7 min read

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.
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Spatially Enabling Customer Relations

Spatially Enabling Customer Relations

by Daniel ODonohue 9 min read

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.
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GIS geospatial podcast spatial-temporal data - every thing happens somewhere and at sometime

spatio-temporal

by Daniel ODonohue 11 min read

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.

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Polygons of Ownership

Polygons of Ownership

by Daniel ODonohue 10 min read

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? 
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Introduction to Jupyter Notebooks

Introduction to Jupyter Notebooks

by Daniel ODonohue 6 min read

Jupyter Notebooks are an interface for combining code, documentation, and data access.  Previously, your data was held in one location.  You coded somewhere else and output it to a different folder which you opened to see what your code did. A notebook is a single place where you combine code, workflow, documentation, and the results.
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Remote sensing data collection using Radio Frequency GIS geospatial remote sensing podcast for digital geographers

Radio Frequency Data Collection

by Daniel ODonohue 6 min read

Remote sensing with a difference. That’s what Ellen Christopherson, CEO and founder of clearGrid, 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.
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Indoor positioning and navigation, podcast episode about location, GIS, geospatial and tracking inside buildings

Hyper-accurate indoor location

by Daniel ODonohue 7 min read

Indoor positioning and navigation are still done on a case by case bases and generally only offer sub-meter accuracy. But what if you had millimeter accuracy? what problems could you solve or use cases could you dream up?
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Digital Twins what they are and how they work all in one podcast episode

Digital Twins

by Daniel ODonohue 9 min read

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.

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Geospatial podcast about python an introduction to spatial programming and python for GIS professionals

Geospatial Python

by Daniel ODonohue 8 min read

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.
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Best free GIS data collection apps. GIS podcast for the geospatial professionals

best free GIS apps for data collection

by Daniel ODonohue 9 min read

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!
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Rebranding as a GIS Geospatial leader is the future of the location intelligence, Don't just make maps, solve spatial problems

The Future of GIS, Leadership and Rebranding Geospatial

by Daniel ODonohue 8 min read

GIS technology 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. 

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GIS podcast, the difference between Geospatial and Computer aided-design

GIS CAD Differences

by Daniel ODonohue 9 min read

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.
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GIS and Geospatial podcast, remote sensing and robotics

Robotics, remote sensing and facilities management

by Daniel ODonohue 9 min read

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?
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how to apply for a job in GIS, entry level GIS jobs and GIS internships

GIS job seekers - advice from a geospatial recruitment expert

by Daniel ODonohue 8 min read

Learn how to apply for entry-level GIS jobs and geospatial internships. Find out what it takes to move from an entry-level GIS position to a mid-level / leadership role in GIS. You will also discover what recruitment looks like in the broader geospatial industry.
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The overlap between Business Intelligence tools and GIS software

The overlap between Business Intelligence tools and GIS software

by Daniel ODonohue 1 min read

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"
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Dynamic vector tiles straight from the database

Dynamic vector tiles straight from the database

by Daniel ODonohue 1 min read

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.
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Earth Observation, platforms and data

Earth Observation, platforms and data

by Daniel ODonohue 1 min read

A dive into the differences between remote sensing and earth observation, we walk through 4 major data collection platforms and the data that these platforms provide and where and how we might find it
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Disrupting ESRI - Why it is hard to build a big geospatial business

Disrupting ESRI - Why it is hard to build a big geospatial business

by Daniel ODonohue 1 min read

Why it is so difficult to build a really big geospatial business and what it would take to disrupt ESRI?
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introduction to QGIS for GIS and geospatial uesers

QGIS - An opensource geospatial project

by Daniel ODonohue 1 min read

QGIS is rapidly becoming the default opensource geospatial desktop tool for the GIS community. Today, Kurt Menke who has written serval books on QGIS shares his insights and experience with the QGIS and talks about so of the more exciting features that are built into QGIS
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A GIS case study

A GIS case study

by Daniel ODonohue 1 min read

A GIS case study.
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Serverless Geospatial

Serverless Geospatial

by Daniel ODonohue 1 min read

Serverless architectures provide an instantly scaleable application environment so that IT infrastructure may dynamically scale up and down to meet the demand of both machine and human users.
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Earth Observation - machine learning and artificial intelligence

Earth Observation - machine learning and artificial intelligence

by Daniel ODonohue 1 min read

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.
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PostgreSQL - An open source geospatial database for GIS practitioners

PostgreSQL - An open source geospatial database for GIS practitioners

by Daniel ODonohue 1 min read

John Bryant the founder of Mammothgeospatial introduces us to the power of an opensource SQL database called PostgreSQL. We talk about some advantages that this database has over flat files and why you might want to invest time and energy into learning more about relational databases and the Structured Query Language "SQL".
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Geo-coding as a tool for risk assessment and the role of GIS in the insurance industry

Geo-coding as a tool for risk assessment and the role of GIS in the insurance industry

by Daniel ODonohue 1 min read

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. 

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Is R the language of geospatial data?

Is R the language of geospatial data?

by Daniel ODonohue 1 min read

 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
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Geospatial intelligence from the sky, automating the mining industry

Geospatial intelligence from the sky, automating the mining industry

by Daniel ODonohue 1 min read

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. 
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The evolution of geospatial file formats and data exchange

The evolution of geospatial file formats and data exchange

by Daniel ODonohue 1 min read

An interview with one of the founders of Safe SoftwareDale 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.
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