Workshops

Instructor: Dr. Sergio Rey and Dr. Wei Kang
8:00am–5:00pm 2018-11-07
San Antonio, Texas
A unique feature of this tutorial is the use of Python based software tools for spatial data analysis. Python is an object oriented scripting language that is gaining rapid adoption in the computational sciences. Since its initial release in July 2010, PySAL has been downloaded over 100,000 times. This two-part tutorial will first provide participants with an introduction to Python and related tools for spatial and regional analysis. In the second part of the tutorial participants will learn version 1.14 of PySAL applied to spatial and regional analysis. Part I is thus designed for participants with no prior Python experience, while the second part assumes knowledge of materials covered in Part I.
Instructor: Dr. Sergio Rey, Dr. Daniel Arribas-Bel, Dr. Joris Van den Bossche,and Dr. Levi Wolf
8:00am–12:00pm 2018-07-10
Austin, Texas
This tutorial is an introduction to geospatial data analysis in Python, with a focus on tabular vector data. It is the first part in a series of two tutorials; this part focuses on introducing the participants to the different libraries to work with geospatial data and will cover munging geo-data and exploring relations over space. This includes importing data in different formats (e.g. shapefile, GeoJSON), visualizing, combining and tidying them up for analysis, and will use libraries such as `pandas`, `geopandas`, `shapely`, `PySAL`, or `rasterio`. The second part will built upon this and focus on more more advanced geographic data science and statistical methods to gain insight from the data. No previous experience with those geospatial python libraries is needed, but basic familiarity with geospatial data and concepts (shapefiles, vector vs raster data) and pandas will be helpful.
Instructor: Dr. Sergio Rey
8:00am–5:00pm 2017-11-08
Vancouver, BC, Canada
A unique feature of this tutorial is the use of Python based software tools for spatial data analysis. Python is an object oriented scripting language that is gaining rapid adoption in the computational sciences. Since its initial release in July 2010, PySAL has been downloaded over 100,000 times. This two-part tutorial will first provide participants with an introduction to Python and related tools for spatial and regional analysis. In the second part of the tutorial participants will learn version 1.14 of PySAL applied to spatial and regional analysis. Part I is thus designed for participants with no prior Python experience, while the second part assumes knowledge of materials covered in Part I.
Instructor: Dr. Sergio Rey
8:00am–5:00pm 2016-11-09
Minneapolis, MN
This two-part workshop will first provide participants with an introduction to Python and related tools for spatial and regional analysis. In the second part of the tutorial participants will learn PySAL applied to spatial and regional analysis. Part I is thus designed for participants with no prior Python experience, while the second part assumes knowledge of materials covered in Part I.

Github Materials

UCR Courses

Instructor: Prof. Amr Magdy
MWF 4:10pm-5:00pm Spring 2018
Provided by Department of Computer Science and Engineering
CHASS Interdisciplinary South Room 1125
Spatial data is ubiquitous in different applications, e.g., map applications, agriculture, public health, transportation, and public safety, and in different scientific disciplines, e.g., geographic information sciences, environmental sciences, and behavioral sciences. This course covers the main concepts behind the existing technologies in spatial applications in addition to the future directions where spatial data is driving innovations. The course introduces spatial computing with coverage for spatial data models, storage, indexing, and querying. In addition, the course allows hands-on experience on both low-level and high-level spatial applications building on existing spatial data platforms.

Course Website

Instructor: Prof. Ran Wei
Spring 2018
The course introduces undergraduate students from the social sciences to the use of spatial methods when shaping new government policy to confront the challenges facing our cities and regions.
Instructor: Prof. Sergio Rey
T 9:10am-11:00am Spring 2018
Provided by UCR GradSuccess
Life Sciences 1425
The Geospatial Data Analysis Workshop Series are comprised of four workshops on spatial analysis in python: geospatial data processing, geovisualization, exploratory spatial data analysis and spatial econometrics.
Instructor: Prof. Sergio Rey
MW 4:10pm-6:00pm Winter 2018
Provided by School of Public Policy
Olmsted 1126
The course introduces graduate students from the social sciences to the use of spatial methods when shaping new government policy to confront the challenges facing our cities and regions.

Syllabus

Education