Weekliii Round-Up: Data Viz, Methane Minimization, and More...
It is Friday, it is the 13th, and we are feeling oh so lucky. Need a few words to get you through your next meeting (or two) or tales of geo-whoah to slip in to your cooler talk? We have you covered. Check out a few posts we have shared throughout the week in our #WeekliiiRoundUp below.
The concept of Machine Learning is a topic that will not be going away anytime soon. With companies able to get their hands on vast amounts of data, it is no longer feasible for them or their consumers to sift through these haystacks without a little help finding that elusive needle. Since we have not quite made it to the age of robot butlers and AI on every corner, we recognize that there is a bit more that goes into developing algorithms and applications that utilize this process. One of the biggest tasks? Preparing data with a machine in mind. This article talks about the "man behind the curtain" and why it is still necessary to have a human hand in a technology that is touted as purely machine.
Speaking of data and the preparation of such, we talked this week about the types and quality of data to be considered when creating Web Apps and Web Maps. Learn how to put your best foot forward in this week's installment of Embracing the Online Platform.
In many countries, oil and gas operations are undergoing changes to ensure processes they employ meet specific environmental standards and goals. For example, Canada has been a leader in this movement, setting a goal to reduce methane emissions from oil and natural gas operations by 45 percent by the year 2025. Although the commitment is admirable, the real question lies in how they plan to achieve these goals. Learn more about those efforts in this article, as well as ways in which these endeavors may eventually evolve to mitigate rather than recover.
If your organization works with multitudes of data and/or are even remotely interested in visualizing said data, it is likely you have heard the name Tableau. A powerful piece of software, this program is used throughout many industries to better sort through and assess data by means of complex visualizations. It allows for a number of input formats - like .csv and .xlsx - but its offerings for how spatial data may be consumed can be sparse. Although their spatial upload does permit the use of files like .shp and even .kmlfile, it does not yet facilitate the upload of more Esri-specific types like feature classes. Rather than harangue on the process of converting your favorite spatial data file types to shapefiles, we propose a better approach. One that gives you much more control over what data you move from ArcGIS to Tableau (and back again). Curious? Learn more about that beacon of light here.
They say that a picture is worth a thousand words. Does the same apply to a map? You bet! The points and paths displayed cartographically can allow us a lot of insight into the world around us. This article is a great example of that - showcasing infrastructure like electric, oil, and gas lines alongside other major assets provides us a view of these resources on a larger scale in the effort to redefine our view of the global landscape from political to infrastructural.
#DailyBrainCandiii and #WeekliiiRoundUp are inspired by brain candiii, a division of Integrated Informatics that delivers and develops GIS training courses to meet the needs of Energy and Natural Resources professionals. Want to suggest a topic for us to cover? Twitter @iii_gis is an easy way to find us!