Some practical applications are briefly listed on the course announcement page at HSE.
|University||Higher School of Economics, Moscow, Russia|
|Lectures, seminars||Antonio Rodriges, PhD|
|Academic hours||Total credits – 5, hours in total – 190 (lectures – 32, practical lessons – 32, self-study – 126).|
|Course syllabus||PDF (2017, Fall)|
|Course type||Elective, 16 students enrolled (2018, Fall)|
|Course style||Hands on training. Students try out things covered on slides together with the trainer during each lesson (4 academic hours in class). Theoretical material on slides largely interleaved with practice.|
We use Java, IntelliJ IDEA, Maven and other technologies listed below.
Please, download slides, code, data and install tools on your laptop before you come to the next lesson to save your time. Please, be sure to have all pom.xml dependencies resolved. Be sure to check whether you have all data and tools from previous lessons since any next lesson may require those.
Note: GIS packages (QGIS, GRASS GIS) behave differently on Windows, Linux and Mac, don't be surprised.
(with links to readings)
|01||NASA World Wind Sample App||
Download NASA WorldWind libs
NASA WW Sources
Quantum GIS (QGIS)
PostgreSQL + PgAdmin III (optionally)
NOAA's Weather and
|05, 07||GRASS GIS|
Control Work 01
06 NOV 2018
Correct answer to a question gives 1.0 points.
Please, see "Marking" section below.
Students are not required to repeat their names on each exam sheet.
Each document has a unique generated ID in its footnotes (e.g. Random Document ID: ndzoyCaK).
|09||Indexing and geohash||You will need pen & paper||Java Topology Suite (JTS)||Define points in WKT on your own|
|10||Spatial vector databases||
See OSM Moscow above
Geoapplication backend and
geospatial network protocols
|See tutorials for given resources:|
|Coming soon: practical examples of geodata usage (Apple, IBM, MasterCard, Uber,...)|
Please, contact Antonio Rodriges (rodriges AT wikience DOT org) for course related questions.