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- 2023
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Mark
Uncovering the spatial relationships between Covid-19 vaccine coverage and local politics in Sweden
2023) In Master Thesis in Geographical Information Science GISM01 20232(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Exploring patterns in risk factors for bark beetle attack during outbreaks triggered by drought stress with harvester data on attacked trees: A case study in Southeastern Sweden
2023) In Master Thesis in Geographical Information Science GISM01 20232(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Evaluating modelled natural capital values for planning processes: A case study in Stockholm, Sweden
(
- Master (Two yrs)
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Mark
Spatial-temporal responses of Arctic amplification to carbon-concentration and carbon-climate feedbacks in CMIP6 simulations
(
- Master (Two yrs)
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Mark
Usability of Sentinel-1 C-band VV and VH SAR data for the detection of flooded oil palm
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)
- 2022
-
Mark
GIS and Tourism: Developing strategies for new touristic flows after the Covid-19 pandemic
2022) In Master Thesis in Geographical Information Science GISM01 20222(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand
2022) In Master Thesis in Geographical Information Science GISM01 20212(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)