LEARNING OUTCOMES
To understand the spatial extensions of conventional statistical, mathematical and computational methods including the concept of spatial autocorrelation. To recognize the special requirements of geodetic, photogrammetric, remote sensing and GIS applications in spatial processing. To apply suitable spatial analysis methods in these applications. To evaluate the quality of geographical data. To be able to program simple algorithms in Matlab and R.
Credits: 5
Schedule: 14.09.2021 - 21.10.2021
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Petri Rönnholm
Contact information for the course (applies in this implementation):
petri.ronnholm (at) aalto.fi
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English, Finnish, Swedish
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
This course introduces various mathematical, statistical and computational methods in their spatial forms. The contents of the course cover processing, analysis and quality issues of spatial data including measures of autocorrelation, spatial statistics, convolution, spatial interpolation, data classification and clustering methods, geometric problem solving and spatial algorithms, and quality concepts and measures.
Assessment Methods and Criteria
valid for whole curriculum period:
Examination and assignments
Workload
valid for whole curriculum period:
Lectures (20 h), assignments (58 h), self-study (30 h), preparation for examination + examination (27 h)
DETAILS
Study Material
valid for whole curriculum period:
Lecture notes and additional literature
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure
11 Sustainable Cities and Communities
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Period:
2020-2021 Autumn I
2021-2022 Autumn I
Course Homepage: https://mycourses.aalto.fi/course/search.php?search=GIS-E1030
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.
applies in this implementation
In 2021, the course is implemented fully remotely.