LEARNING OUTCOMES
After the course, you can identify appropriate analysis approaches for different geospatial tasks and describe data needs and suitable methods for the analysis process. You can carry out analysis processes using basic methods of spatio-statistical analysis, geostatistics, map algebra and geovisual analysis. You can discuss the strengths and limitations of the methods.
Credits: 5
Schedule: 24.10.2023 - 05.12.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Henrikki Tenkanen
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: Finnish, Swedish, English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Processes applying statistical analysis methods for spatial point patterns and multivariate data. Kriging as an example of geostatistics. Analysis processes with map algebra using raster data layers. Use of graph analysis methods. Interactive visual analysis with linked views of thematic maps and multivariate visualization techniques.
Assessment Methods and Criteria
valid for whole curriculum period:
Assignments and examination.
Workload
valid for whole curriculum period:
Learning sessions 24 (4), Weekly assignments 48 (8), Individual study 60, Examination 3
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
4 Quality Education
11 Sustainable Cities and Communities
15 Life on Land
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Autumn II
2023-2024 Autumn IIEnrollment :
Registration for the courses via Sisu (sisu.aalto.fi).