The repository stores data files for the 'Introduction to Geographical Information Systems' module.
The assignments were offered at the University of Oslo.
The README file presents an overview of all the maps created and the tools used.
The folders have more details about the individual mapping projects.
ArcGIS Pro was used for completing the exercises for this course. For Exercise 6, GeoDa was used to run the spatial autocorrelation test.
Contributors: Angela Subedi, [email protected] Rahul Sehgal, [email protected]
Date: September 2021 - December 2021
| Topic | Description | Tools Used |
|---|---|---|
| Introduction | ArcGIS Pro interface was introduced and a simple map of COVID-19 vaccination status in Europe was produced | Add data, Attribute Tables |
| Cartography and Data Visualization | Basic Cartographic priciples were introduced and two maps showing the population density of Norwegian municipalities and a world map showing population growth rate were produced | Symbology, Layout, Spatial Join |
| Projections and Georeferencing | Basics about map projections and how to change feature and map projections in ArcGIS Pro was introduced. A map comparing Mercator and Equidistant projects, and a map of Norway showing Oslo as an inset were produced | Measure distance, Define projections, Extent indicator |
| Collecting Spatial Data | Spatial data was collected on a smartphone using the input app and imported to ArcGIS Pro. Features were prepared manually using Edit tools. | Edit - Create, Trace, Snapping |
| Spatial Analysis | Spatial Analysis tools were explored by creating a flood vulnerability map of Hamar, Norway | Buffer, Merge, Definition Query, Feature to Polygon, Clip, Feature to Point, Summarize within |
| Spatial Auto Corelation | GeoDa was used to perform Global and Local Moran's I test on percetage of votes to the labour party in 2017 election. A LISA Map was produced using QGIS to identify clusters of correlation for the data | Weight file, Univariate Moran's I test, Univariate local Moran's I test. |
| Rasters | Four maps were produced for Bergen using its DTM and various Raster tools available. A map showing the green areas of Bergen using Sentinel 2 imagery was also produced. | 1. Raster Tools - Hillshade, Aspect, Slope, Contour. Imagery Tools - Green (NVDI) |
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