Introduction to Geographic Information
Systems and Spatial Analysis
Dr. Zhanli "Jerry" Sun (email@example.com)
PD Dr. Daniel Müller
Friedrich Koch, Brett Hankerson, Florian Schierhorn
Department for Structural Development of Farms and Rural Areas
Leibniz Institute of Agricultural Development in Transition Economies (IAMO)
Theodor-Lieser-Str.2, 06120 Halle (Saale)
Tel.: +49 345 2928 331
Geographic Information Systems (GIS) are a powerful computer-based tool for storing, visualizing, and analyzing spatial information together with non-spatial data. The main objective of this course is to introduce participants to basic concepts and methods of GIS and spatial data analysis. We will exemplify applications that touch upon various disciplines such environmental monitoring, natural resource management, rural development, and agricultural economics. The course will further introduce students to map-making, spatial statistics, and spatial modeling. To accomplish these goals, we will provide a mix of lectures addressing the basic theoretical knowledge of GIS and spatial data analysis, presentations from external speakers with applications of spatial data analysis, and practical hands-on exercises using ESRI ArcGIS and other spatial software. Students are encouraged to use their own data sets for the exercises and homework.
This course is *NOT* a training class of software, i.e., ArcGIS, but the focus of the course is rather on the theoretical aspects, key concepts, spatial methodologies and potential applications of spatial data analysis. Students will however use ArcGIS for many of the exercises.
Course Outline - Topics
Day 1: Introduction to GIS
- What is GIS?
- History of GIS
- Why GIS: applications, examples
- What’s special about spatial data?
- Introduction to map projections.
- Introduction to ArcGIS
- Example of practical applications
Exercise 1: ArcGIS tutorial of basic functions
Day 2: Introduction to GIS Data (Vector, Raster)
- GIS data models: Vector, Raster
- The vector data model: points, lines, polygons
- The raster model: Grid, Images
- GIS data manipulations: Import/export, data conversion
Exercise 2: Creating, editing and managing spatial data using ArcGIS
Day 3: Thematic mapping and spatial analysis
- Thematic mapping: Elements of a map, creating a map
- Introduction to spatial data analysis and geoprocessing
- Vector data analysis: Spatial query, buffer, overlay
- Raster data analysis: Map algebra and raster calculator
Exercise 3: Spatial analysis and preparation of a thematic map
Day 4: Geostatistics and spatial econometrics
- Spatial data integration
- Spatial interpolation
- Exploratory spatial data analysis
- Spatial regression analysis
Exercise 4: Spatial statistical analysis
Day 5: Application examples and wrap-up
- Spatial statics and spatial regression analysis
- An application of spatial statistics
- Miscellaneous: Questions and answers
- Course evaluation
Exercise 5: Introduction of take-home project
Lectures (~40%), practical exercises (~40%), external presentations (~20%)
20% active participation,30% exercises, 50% homework.
Participants shall write a short report containing thematic maps based on the results of the spatial data analysis. Participants are encouraged to use their own data and do spatial analysis using GIS as a tool to support their research.
Credit points: 3
Necessary course materials
No designated textbook. Handouts will be made available during the class.
Software: ArcGIS 10, MS Office, GeoDa
Organization and time
The course is organized as a one-week (5 full days, 9 a.m. to 4 p.m.) block modules mixed with seminars from external speakers. The course starts Monday at 09:30 a.m.
Location: At the facilities of IAMO, Halle (Saale), Conference Room 2