Dept of Physical Geography and Ecosystem Science
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- 2022
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Mark
Distribution Analysis of Impatiens glandulifera in Kronoberg County and a Pest Risk Map for Alvesta Municipality
(2022) In Master Thesis in Geographical Information Science GISM01 20222
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Analysing methods for visualizing time-series datasets in open-source web mapping
(2022) In Master Thesis in Geographical Information Science GISM01 20222
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Evaluating forest wildfire effect on tree increment patterns for boreonemoral forests in Sweden: A pilot study using remote sensing
- Master (Two yrs)
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Mark
Automatic text placement on maps using deep learning keypoint detection models
- Master (Two yrs)
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Mark
Perception accuracy and user acceptance of legend designs for opacity data mapping in GIS
(2022) In Master Thesis in Geographical Information Science GISM01 20212
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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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)
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Mark
Weights of Evidence Predictive Modelling in Archaeology
(2022) In Master Thesis in Geographical Information Science GISM01 20221
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
3D stadsmodeller för mindre kommuner - vad är behoven och vilka standarder krävs?
(2022) In Examensarbete i geografisk informationsteknik EXTM05 20221
Dept of Physical Geography and Ecosystem Science
Surveying (M.Sc.Eng.)- Master (Two yrs)
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Mark
Evaluating vegetation carbon storage by primary forests in Sweden using LPJ-GUESS
- Bach. Degree
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Mark
Tundra carbon cycling in relation to sea-ice decline in a warming Arctic
- Bach. Degree