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- 2024
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Mark
Using GIS and satellite data to assess access of green area for children living in growing cities
(2024) In Master Thesis in Geographical Information Science GISM01 20241
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Multicriteria Evaluation in Real Estate Land-use Suitability Analysis: The case of Volos, Greece
(2024) In Master Thesis in Geographical Information Science GISM01 20222
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
The Relation Between Covid-19 Vaccination and Voting Trends in Lithuania: A Spatial Analysis
(2024) In Master Thesis in Geographical Information Science GISM01 20241
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Temporal RX-algorithm performance on Sentinel-2 images
(2024) In Master Thesis in Geographical Information Science GISM01 20241
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2023
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Mark
Urban tree canopy mapping -an open source deep learning approach
(2023) In Master Thesis in Geographical Information Science GISM01 20231
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Impact of Sea Surface Temperature and Salinity on Phytoplankton blooms phenology in the North Sea
(2023) In Master Thesis in Geographical Information Science GISM01 20231
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Using a GIS to enable an economic, land use and energy output comparison between small wind powered turbines and large-scale wind farms: the case of Oslo, Norway.
(2023) In Master Thesis in Geographical Information Science GISM01 20231
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Wildfire growth modelling in Sweden - a suitability assessment of available data
(2023) In Master Thesis in Geographical Information Science GISM01 20222
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Where there is road, there is fire (influence): An exploratory study on the influence of roads in the spatial patterns of Swedish wildfires of 2018
(2023) In Master Thesis in Geographical Information Science GISM01 20222
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Multi-scale Bark Beetle Predictions Using Machine Learning
(2023) In Master Thesis in Geographical Information Science GISM01 20222
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)