Due to availability of many data source, analysis of the built and natural environment, such as cities, and its surrounding landscapes , GIS analysis has great potential to address issues related to ecosystem services, environmental justice and the Urban climate. Hence this course will focus on a. knowing which date is available and b) acquiring the GIS skills needed for the analysis of the available data, leading to data-article reports submitted to a scientific journal to make the analysis available for a wider scientific audience.
- Introduction to and acquiring GIS skills for analysis of the geographic characteristics of the built environment affecting microclimate
- Introduction to and acquiring GIS skills for analysis of Urban heat Islands, landcover types and ecosystem services, and environmental justice
- Introduction to GIS data sources for scientific studies at the Netherlands- and EU scale, among them KNMI and CBS data sources, satellite images on landcover and land surface temperature, EU socio-economic and climate data
- Acquiring the GIS skills for automatisation of an iterative process in ArcGIS Pro by use of model builder and ArcPy package, as well as data clustering and linear multivariable models
- Acquiring expertise to report and illustrate GIS data for scientific publications
The course if consisted of ten four-hour sessions spread across two consecutive weeks. The subjects covered in the sessions are as follows:
Session 1: Datatypes, supervised and unsupervised classification, data representation
Session 2: Building density analysis and introduction to space matrix measures: Floor Space Index (FSI), Gross Space Index (GSI), and Open space ration (OSR)
Session 3: Building surface to volume study, frontal index calculation, and aerodynamic roughness length
Session 4: 3d representation, solar radiation, sky view analysis
Session 5: Preparation of data-article #1 for submission – feedback and coworking session
Session 6: Introduction to Model Builder and connecting it to ArcPy (the Python package for ArcGIS Pro), introduction to MODIS and Landsat satellite data, analysis of land surface temperature and land cover data at the city scale
Session 7: Introduction to the definitions of urban heat islands (UHI) and calculation of UHI effect; development of a GIS toolbox for calculating UHI in the model builder or ArcPy
Session 8: Spatial pattern analysis of socio-economic data: Hotspot analysis, High/Low Clustering (Getis-Ord General G), use of linear models as OLS and GWR
Session 9: Introduction to environmental justice, calculation of inequality of access to green spaces and exposure to urban heat among different socio-economic groups by use of OLS and GWR
Session 10: Preparation of data-article #2 for submission – feedback and coworking session
Each of the participants needs to submit two data-article in a peer-reviewed data journal – e.g. the journal of Data in Brief (a Q2 Elsevier journal). Each data-article reports the analysis conducted in one of the two weeks of the course and is annexed with a database of the area designated to the participant in question.
The course is designed for PhD candidates, postdoctoral researchers, and junior or senior researchers interested in using geographic data in their scientific studies, among them urban planning, regional studies, urban and rural economics, energy studies, consumer behaviour, health, environmental justice, and landscape architecture. Participants do not need to acquire prior knowledge of GIS.
Participants need to bring their own laptop with installed, licenced ArcGis Pro.
The course is designed for PhD candidates, postdoctoral researchers, and junior or senior researchers interested in using geographic data in their scientific studies, among them urban planning, regional studies, urban and rural economics, energy studies, consumer behaviour, health, environmental justice, and landscape architecture.
PhD course Participants do not need to acquire prior knowledge of GIS.
• WUR PhDs with TSP and WUR postdocs registered with WUR graduate schools: €250 (early bird) / €300 (regular)
• SENSE PhDs with TSP: €500 (early bird) / €550 (regular)
• All other PhD candidates and postdocs: €580 (early bird) / €580 (regular)
• Staff of WUR Graduate Schools/ graduate schools mentioned above: €580 (early bird) / €630 (regular)
• All others: €830 (early bird) / €880 (regular)
Early bird deadline: 31 August 2021 / Final deadline: 15 September 2021
The moment of registration, not payment, determines the fee that applies to you.
Accommodation or catering apart from tea and coffee are not included in the fee of the course. For information on B&B's and hotels in Wageningen please visit proefwageningen.nl. Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Note that besides the restaurants in Wageningen, there are also options to have dinner at Wageningen Campus.
His expertise is in the application of geographic analysis and spatial statistics for regional and urban studies. In particular, he is specialized in household energy consumption and energy poverty, spatial optimization of electric vehicles infrastructure, urban heat islands, and mobility network analysis.
Frequency of occurence
If enough demand, we aim for once a year.
- Up to 2 (two) weeks prior to the start of the course, cancellation is free of charge.
- Up to 1 (one) week prior to the start of the course, a fee of € 250,- will be charged.
- In case of cancellation within one week prior to the start of the course, a fee of € 500,- will be charged.
- If you do not show at all, a fee of € 580,- will nevertheless be charged.