Geospatial Technology at SDSU (GEOG104, GEOG381, GEOG583)

Cartographers can solve this mystery. Change the project method!

Great Map Design Examples!

https://www.nytimes.com//2015/07/08/us/census-race-map.html

Great example for Data Science and Machine Learning: Biased Labeling will create biased classification results. https://www.reuters.com//amazon-scraps-secret-ai-recruitin

Good visualization example: https://www.nytimes.com//map-of-every-building-in-the-unit

Your personal health data is very valuable....

Cartographers can solve this mystery. Change the project method!

Misuse of personal health records?

Watch #Florence move through the Carolinas in this data visualization and see #USGS streamgage measurements spike as the storm’s extreme rainfall leads to inten...se flooding. USGS streamgages provide critical information during storms to flood forecasters and emergency managers as they make decisions that contributes to protecting lives and property. Understanding river levels and locations of flooding can make a huge difference in these dangerous storms. The water footprint visualization shows patterns of precipitation and river discharge of 18 USGS streamgages greatly impacted by Florence. The full version is available here: https://www.usgs.gov//hurricane-florence-water-footprint-d #TurnAroundDontDrown #HurricaneFlorence #flooding #waterdata #dataviz

We joined Team Dimension Data at the @LeTour to look at some of the tech being used at the world’s biggest cycle race. Take a look.

How many maps can you make using a single dataset and theme? Our own Kenneth Field created a whole gallery of maps featuring 2016 US election data. Explore them (and learn some new mapping techniques) here: http://p.ctx.ly/r/82fd

https://www.youtube.com/watch?v=Cm_oAaQVWZ8&feature=youtu.be