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The aim of the course is to deepen the acquired knowledge and acquire practical skills in solving prepared tasks and projects from the field of the environment in the wider context of natural sciences. The presentation of individual tasks is based on methodological materials of ESRI (Environmental Systems Research Institute) and specialist foreign literature. To master the exercises, a basic knowledge of the English language and mastery of basic subjects focused on the environment, ecology, mathematics and statistics are required. The exercise is also available in the MOODLE system.
The subject is currently taught by distance learning. Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
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Burrough, P.A., McDonnell, R.A., 1998. Principles Geographical Information Systems. Oxford University Press, Oxford. Goodchild, M., 1996. GIS and Environmental Modeling: Progress and Research Issues. John Wiley&Sons. Heath, D., 1995. An introduction to experimental design and statistics for biology. UCL Press, London. Johnston, C.A., 1998. Geographic Information Systems in Ecology. Blackwell Science, London. Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
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The subject MO550P59 Geoinformation methods for the environment contains projects for independent processing. Project presentations and assignments are available on MOODLE. To be awarded credit, you must choose at least 7 tasks from the current offer and submit the required results to MOODLE. The task is completed when you get more than 50 points in the range of 0 to 100. The necessary software, ArcGIS Pro installation files (approx. 1.5 GB), will be sent by the teacher on request via e-mail: lmatejic@natur.cuni.cz. If there is a problem with the availability of suitable computer technology, tasks can also be processed individually in the classroom of the GIS Laboratory. ArcGIS Pro is currently only available on the Windows platform.
Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
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Thematic blocks: Predict deforestation in the Amazon rain forest Model water quality using interpolation Build a model to connect mountain lion habitat Build a 3D scene for the Oso mudslide in Washington Investigate pollution patterns with space-time analysis Site a sustainable shrimp farm Find ocean bathymetry data Visualize an ocean canyon in 2D and 3D Evaluate Ethiopia's changing landscape Visualize and explore coral reef habitats with voxels Estimate solar power potential Classification using deep learning Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
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