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Voltar para Geospatial and Environmental Analysis

Comentários e feedback de alunos de Geospatial and Environmental Analysis da instituição Universidade da Califórnia, Davis

4.8
estrelas
1,139 classificações

Sobre o curso

Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables. Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products. In this class you will learn the fundamentals of geospatial and environmental analysis during four week-long modules: Week 1: Tour ArcToolbox and learn how to use common geospatial analysis tools built into ArcGIS Week 2: Gain a working understanding of raster data models: symbolize, reproject, overlay, and assess rasters. Take a detour into 3D data models, and interpolation of observations into 3D surfaces and rasters Week 3: Go in-depth on projections and coordinate systems, which are foundational to all GIS. Learn how to use environment variables to constrain your analyses and get better quality data products. Week 4: Expand your knowledge of symbology. Learn how to visually display your data by classifying it in logical groupings and then symbolizing it on your map. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first and second courses in this specialization, "Fundamentals of GIS" and "GIS Data Formats, Design, and Quality", before taking this course. By completing this third class in the Specialization you will gain the skills needed to succeed in the full program....

Melhores avaliações

MH

11 de mai de 2020

The course content of this course is awesome and the way of explanation also. Those who want to make carrier in this field of GIS or Environment Analyst for them this is a good platform to learn.

AA

4 de mai de 2019

Like the previous courses on this specialization, this course is well prepared, the lectures are clear and the assignments designed to reinforce the learner's skills. I have really enjoyed it.

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31 de jul de 2019

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5 de mai de 2019

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2 de set de 2016

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