Geospatial IoT Insights — October 20
Historical records may underestimate the rising sea level. A new study using NASA satellite data finds that tide gauges — the longest and highest-quality records of historical ocean water levels — may have underestimated the amount of global average sea level rise that occurred during the 20th century. [NASA]
The here and now of big geospatial data. Another brain-stimulating overview of recent real-world examples of using geospatial data. Logistics, fraud data, retail, finance, shipping, advertising — and the list continues. The article also lists specialized geospatial databases which is something one needs in order to manage and access geospatial big data. [Datanami]
McKinsey has released an extensive report on the monetization of car data. Abundance of sensors and continuous connectivity is almost a standard for new cars today, and this will create new market opportunities. McKinsey claims that the global revenue from car data monetization could reach $750 billion by 2030. The 61-page report sheds light on how industry players can quickly build and test car data-driven products and services and develop new business models around them. It also identifies and assesses the value and requirements of potential car data-enabled use cases. [McKinsey]
The Guardian has a long and insightful story on how climate change triggers earthquakes, tsunamis, and volcanoes. This is a very helpful read if you are looking to understand how different variables are related to each other, which is essential if you want to create innovative Earth data-driven applications. [The Guardian]
Tools for manipulating geospatial data are becoming easier to use. Geosheets recently launched a simple solution that enables the data import functions in Google Sheets and the mapping functions in Geosheets to quickly produce insightful visualizations from raw open data feeds. [GISuser]
Originally published at planetos.com on October 19, 2016.