Course ObjectiveThe outcomes and learning objectives for this course are:
• Being able to define and implement a systematic approach to a spatial
problem as PPDAC cycle, this course focuses on Problem, Plan and Data.
• Being able to select the relevant geographic data and techniques for
source data to convert to basic data, dependent on the purpose of the
question to answer.
• Being able to determine possible and appropriate data models based on
characteristics of data, such as spatial unit and scale.
• The ability to understand the consequences of the choice of data, data
models and pre-processing with respect to the (final) result.
• Being able to use techniques to collect and harvest data and transform
it for analysis.
Course ContentGeo Data (a.k.a. Geospatial data, spatial data and geographic
information) is data referenced to a place recorded as a set of
geographic coordinates). Everything happens somewhere and often taking
into account the location of an event or phenomena is important in
understanding it. we use Geographic Information systems to capture,
manipulate, analyse and visualize data.
In this course you will get an insight into the ways in which the geo
data is obtained and learn in a structured way to assess the
applicability of the geo data. You will use Open Data and Remote Sensing
and assess, among other, its thematic and spatial quality. You will be
able to identify the requirements of the geo data in order to solve a
spatial problem. In addition, you will prepare your geo data so that it
is suitable for the geographic analysis and visualization.
The following topics are covered:
• PPDAC framework (Problem, Plan, Data, Analysis, Conclusions);
• Spatial data models;
• Data sources;
• Introduction to python (collecting data via APIs);
• Data preprocessing;
• Earth Observation using Remote Sensing;
• Data quality theory.
Teaching MethodsThe topics are introduced and discussed in lectures in the morning. In
the afternoon, we will apply the theory in practical assignments. The
practical exercises can be used for the case study as an example and
Method of AssessmentYour skills will be assessed via a closed book exam with open and closed
questions (individual, weighting 60%) and 40% of the grade via a case
study (30% for the report of the case study and 10% for the poster and
its presentation). The minimum score on each of the components (poster,
case study report and exam) is 5.0.
Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015).
Geographic information science and systems. John Wiley & Sons.
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. E. Simao Da Graca Dias|
|Examiner||dr. E. Simao Da Graca Dias|
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Seminar, Computer lab|