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n.MA.ENR.ASA.17HS (Advanced Spatial Analysis) 
Modul: Advanced Spatial Analysis
Diese Information wurde generiert am: 12.08.2025
Nr.
n.MA.ENR.ASA.17HS
Bezeichnung
Advanced Spatial Analysis
Credits
3

Beschreibung

Version: 6.0 gültig ab 01.02.2026
Studiengang
Degree Program		 MSc in Environment and Natural Resources
Arbeitsaufwand
Workload		 90 hours (Class meetings 22hrs, Preparatory readings 10hrs, Paper presentation 15hrs, group project 45hrs)
Modulleitung
Module Coordinator		 Patrick Laube
Dozierende
Lecturers		 Externe der UZH
Eingangskompetenzen
Entry Requirements		 The students
  • are familiar with working with spatial data in a GIS environment.
  • can discuss key concepts of spatial data quality and uncertainty.
  • can explain selected spatial analysis workflows and compare alternatives for
  • can propose suitable GIS analyses for spatial problems and justify their choices
  • understand the role of spatial data structures and formats, as well as databases and the growing importance of web-based GIS applications.
Ausgangskompetenzen
Learning Outcome and Competences		 The students will learn to
  • understand ways of searching for and evaluating the quality of spatial data at national and global scales
  • effectively transform spatial data to allow their integration to create useful environmental indicators
  • effectively apply and document the use of analysis methods to create environmental indicators
  • critically discuss the strengths and weaknesses of environmental indicators with respect to different sources of uncertainty
  • conceptualise and implement a spatially explicit thematic environmental indicator at a city, regional, national or international scale related to SDG 11 (Sustainable cities and communities) or SDG15 (Life on land)
  • summarise and present environmental indicators appropriately according to user group
Inhalte
Module Content
Integrating heterogeneous spatio-temporal data across scales is a common use of GIS to generate derived datasets providing information about the environment. How can such datasets be used on local, national and global scales to provide scientists, policymakers and the public with information, for example with respect to progress towards sustainable development goals?

In this course students will investigate how environmental indicators are created, exploring the complete data flow from data sources through their integration and analysis to representation.

The course encompasses 14 weeks of work, divided into two parts. In the first part are lectures, each dealing with another aspect of environmental indicators, coupled with group presentations related to the lecture themes. The second part of the course focuses on project work.
Lehr-/Lernmethoden
Teaching / Learning Methods		 Active learning through lectures, group discussions, readings and presentations, indicator development as well as logical and critical thinking exercises
Leistungsnachweis
Assessment of Learning
Outcome
Paper group presentation (30%)
 
Group project (70%)
Bibliographie
Bibliography		 Tba in class
Unterrichtssprache
Language		 English
Bemerkungen
Comments		 In collaboration with UZH, max. 10 participants.

All information about the organization of this module can be found in the UZH course catalogue: https://courses.uzh.ch/
Search for “GEO 888 GIS for Environmental Indicators (07SMGEO888)” AND select the correct semester (Spring Semester 20YY).

Hinweis