It is finally here, our favorite weekday friend - Friday. To ease you out of this long week and give you a little something to procrastinate, here is a list of reading materials and geoeducation resources shared throughout this week in our #DailyBrainCandiii posts. Enjoy!
Esri has long been a passenger on the education bandwagon. This resource – GeoInquiries – helps to solidify their standing (err, seat?) there. Rather than a typical article, this #DailyBrainCandiii post is more of a geoeducation resource for those teachers who need a spatial aid in subjects from Earth Science to American Literature. These how-to’s and references are based on the ArcGIS Online technology and offer a fun, interactive, and – even better! – pre-made way to deliver geo-edu to the younger masses.
Whether it be for environmental or monetary reasons, we all like to have an idea of how well our homes and offices are conserving energy. For those regions with more extreme climates, it is a real concern. For instance, Canada’s chilly winters call for more heat than what some areas would need. To help communities determine if their efforts to use this energy efficiently are actually paying off, MyHEAT Inc. has developed a public map visualizing and comparing the heat escaping from every building in a town or city in many major urban Canadian cities. This article shows examples of this application as well as details plans for a more extensive roll out across the country.
Interested in taking the guess work out of simulating stacked channel patterns? Well, this article has you covered. Originally published in the Marine and Petroleum Geology journal, this paper proposes a geometrical approach to control the connectivity between channels with the help of seismic data and fine-tuning of migration geometry.
Across many industries, the presence of mobile technology and the data it collects has had transformative powers. Healthcare, as it turns out, is no different. Wearable technology like the Fitbit and Apple Watch have spurred the collection of mass amounts of health-related data. This information, however, is more than just our steps – and may be used for things greater than making sure we get away from our desk every occasionally. This article discusses the possibility of “perfecting” algorithms based on Big Data to bring machine learning to healthcare, allowing for tailored patient cases and quick diagnoses.