Last month, GeoNYC brought together a trio of mapping projects that focused on analysis and real-time monitoring as Raz Schwartz, Jane Stewart Adam and Ekene Ijeoma presented their projects to the GeoNYC community at our April event held at Cornell's NYU Tech Campus.
If you could’t make it to the event and want to check out what you’ve missed visit the treasure trove of past presentations. Use the hashtag #geonyc on Twitter or follow the conversations at Storify for a more complete picture of the event.
Don't forget to attend GeoNYC tonight as Mauricio Giraldo (@mgiraldo), Kevin Webb (@kvnweb), Sharai Lewis-Gruss (@LoveRaiRai), and Dr. Raj Singh (@opengeospatial) discuss the changing world of open source geospatial software.
Raz (@razsc), a post-doctoral researcher at Cornell Tech and a Magic Tech fellow presented CityBeat. It's a real-time event detection and city-wide statistics application that sources, monitors, and analyzes hyper-local information from multiple social media platforms. What can you use it for?
CityBeat uses the massive amount of live geotagged information that is available from various social media platforms. It can be used to better understand the pulse of the city using the streams of geo-tagged information coming from Instagram, Twitter and Foursquare real time data.
Jane Adam Stewart
Jane (@thejunglejane), a grad student at NYU CUSP and apparently the only geostatiscian f0r miles...
...presented KrigPy, a spatial interpolation library for Python that was refactored from the R gstat package. KrigPy has the major functionalities of the gstat package: variogram modeling; simple, ordinary, and universal point or block Kriging, sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions. The project will be available on github soon.
Ekene (@ekeneijeoma) talked about The Refugee Project, a collaboration with Hyperakt, which reveals the ebb and flow of global refugee migration over the last four decades based on data from the UN and UNHCR. It expands and reflects on the data, telling stories about socio-political events which evolved into mass migrations. It was agreed upon that it was quite beautiful:
The holy triumvirate of "useful, interesting and beautiful" in data visualization #geonyc
— Ingrid Burrington (@lifewinning) April 16, 2014