Course ObjectiveThe objective of this course is to become familiar with more advanced
approaches for the analysis of large spatial and temporal datasets,
related to earth observation, climate change, and land cover change.
Course ContentIn this course students will acquire the necessary skills to conduct
spatial and spatio-temporal analysis, primarily in the context of earth
and environmental sciences research. The course starts with the basics
of programming in Python, and gradually focuses on tools that are useful
for spatial and spatio-temporal analyses: reading and writing spatial
data and time-series data, loops and conditional statements, libraries
for handling spatial data and time series data, and visualization of
Teaching MethodsThe course requires 8 weeks of part-time study, and students are
expected to spend approximately 20 hours a week on this course. Each
week will consist of one or two lectures and multiple computer labs
where students can work on the assignments under supervision.
Method of AssessmentStudents will be evaluated based on submitted exercises, which are
provided weekly throughout the course. These assignments may be done
individually or in pairs (a few assignments need to be done
individually). Assignments can differ in size and the exact weight of
each exercise will be indicated at the start of the course. Assignments
can include scripts / snippets, results and / or brief in-class
Entry RequirementsThis course assumes a basic knowledge of GIS and GIS-based spatial
analysis (such as the course GIS and Digital Spatial Data (AB_1076), or
equivalent). This requirement is met by all students that completed
their BSc in Earth Sciences or Earth and Economics at VU University.
Prior experience with scripting or programming is not a requirement (but
will be helpful).
LiteratureSelected literature will be provided on Canvas.
Target AudienceMandatory for Master students in Earth Sciences (ESPCaR track, Earth and
Climate track, Global Environmental Change & Policy track), elective for
Master students in Hydrology and other relevant studies.
Dr. J van Vliet, Prof. Dr. G. van der Werf, and Dr. N. Schutgens
Recommended background knowledgeExperience with GIS, spatial analysis, and programming/scripting would
be an asset.
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. ir. J. van Vliet|
|Examiner||dr. ir. J. van Vliet|
dr. ir. J. van Vliet
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Lecture, Computer lab, Study Group|
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