| ... | ... | @@ -8,6 +8,12 @@ For a closer look at the task go to the [associated issue](https://git.sbg.ac.at |
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#### Abstract
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Shortly after the first week of the seminar, the participants needed to hand in an abstract and a broad sketch of their I3 project. For this, the project needed to be defined and outlined within the scientific context. Therefore, the [literature review](https://git.sbg.ac.at/s1068210/redensification-indicators/-/wikis/Project-Documentation/2.1-Literature-Review) needed to be conducted.
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The Abstract is
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> As cities are confronted with rising numbers of inhabitants and space for urban development
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is getting scarce, they are looking for potential areas to develop within the city boundaries. The research studio “iSpace” in cooperation with the city of Salzburg developed a methodology to calculate potential development areas called ZAB. In comparison to other models, ZAB is based upon the assumption that the potential of areas can be derived from the surrounding buildings. This way the model is less reliant on highly resolved data and better scalable.
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The aim of the project is to statistically evaluate the model results by comparing them to official calculations of the city of Salzburg. The statistical analysis should allow to draw conclusions on the performance of the ZAB model and potentially allow improvements for the model. For this, the project will leverage the ArcGIS Notebook by Esri which enables spatial as well as statistical analysis tools utilizing Python Libraries. In addition, the Notebook serves as a basis for the documentation of the individual steps within the workflow which allows transparency and reproducibility of the results.
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#### Extended Abstract |
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\ No newline at end of file |
