Check out the webinar: DRONES FOR THE EARTH SCIENCES: APPLICATIONS AND IMPLICATIONS, provided by the Board on Earth Science and Resources. 

There are also links to the webinar UNEARTHING CITIZEN SCIENCE with Muki Hacklay. 

Our goal was not to teach a specific suite of tools but rather to teach participants how to develop and refine repeatable and testable workflows for spatial data using common standard programming practices.

On Day 1 we focused on setting up a collaborative virtual data environment through virtual machines, spatial databases (PostgreSQL/PostGIS) with multi-user editing and versioning (GeoGig). We also talked about open data and open standards, and modern data formats and tools (GeoJSON, GDAL).

Analyzing spatial data is the best part! On Day 2 we focused on open analytical tools for spatial data. We focused on one particular class of spatial data analysis: pattern analysis, and used Python (i.e. PySAL, NumPy, PyCharm, iPython Notebook), and R Studio (i.e. raster, sp, maptools, rgdal, shiny) to look at spatial autocorrelation and spatial regression. 

Wait, visualizing spatial data is the best part! Day 3 was dedicated to the web stack, and visualization. We started with web mapping (web stack, HTML/CSS, JavaScript, Leaflet), and then focused on web-based visualizations (D3).  Web mapping is great, and as OpenGeo.org says: “Internet maps appear magical: portals into infinitely large, infinitely deep pools of data. But they aren't magical, they are built of a few standard pieces of technology, and the pieces can be re-arranged and sourced from different places.…Anyone can build an internet map."

All-in-all it was a great time spent with a collection of very interesting mapping professionals from around the country (and Haiti!). Thanks to everyone!

Hi all,

Our gis.berkeley.edu website had to be taken down. Information on the GIST Minor and Graduate Certificate can be found here:

• Graduate Certificate in Geographic Information Science and Technology - http://ourenvironment.berkeley.edu/gist-graduate-certificate/
• Minor in Geographic Information Science and Technology - http://ourenvironment.berkeley.edu/gist-minor

 Thanks!

Hello World!

There are several GIS classes to chose from in the spring. So far we have: 

Lower division:

• Butsic, V  ESPM 72 Geographic Information Systems

Upper division:

• Chambers, J    GEOG 185    Earth System Remote Sensing   

Graduate:

• Biging, G & Radke,J   ESPM 210    Spatial Data Analysis for Natural Resources   
• O'Sullivan   GEOG 228    Spatial Simulation Modeling 
• Radke, J    LDARC 221    Quantitative Methods in Environmental Planning
• Dronova, I    LDARC 254    Applied Remote Sensing
• deValpine, P   ESPM 215    Hierarchical Statistical Modeling in Environmental Science (some spatial data analysis)
• Song, J     PH2728 GIS and Public Health

Email me with others.
Thanks!