10 July 2020
on course website
Introduction to GIS for Human and Behavioral Scientists
The objective of the course is to provide students, that have a background in social, human or behavioral sciences, with an introduction to GIS (Geographic Information Systems). This course aims at highlighting the specific qualities of GIS regarding visualization and combination of datasets with a spatial component. Several topics will be covered, such as introduction to ArcGIS 10.4 and a presentation of data and results.
In this course the lecturers cover topics including various types of geo-data, collecting, geo-referencing and projecting of address data, data visualization and thematic mapping in ArcGIS, use of ‘Basemaps’ and other public data sources, proximity based analysis, data and result presentation in ArcGIS.
The course will provide the students with insight in the principles of sense making of GPS Data in a GIS environment. Specific objectives to the course are to provide insights and training in:
Use of public geo- and statistical data
Data capture through geo-referencing
Thematic mapping of survey or statistical data
Airline distance (proximity) based analysis
During the course students will make use of the programme ArcGIS. Geoprocessing is for everyone that uses ArcGIS. Whether you're a new or advanced user, geoprocessing is likely an essential part of day-to-day work with ArcGIS. The fundamental purpose of geoprocessing is to provide tools and a framework for performing analysis and managing your geographic data. The modeling and analysis capabilities geoprocessing provides make ArcGIS a complete geographic information system.
Dr. Tom de Jong
The course is designed for Master’s students, PhD students, academics with an interested in visualizing survey or statistical data in relation to other spatial data such as land use data.
Specific objectives to the coarse are to provide insights and training in - Use of public geo- and statisticak data - Data capture through georeferencing - Thematic mapping of survey or statistical data - Airline distance (proximity) based analysis
EUR 300: Course + course materials
EUR 200: Housing fee (optional)
on course website