As part of this, we'll discuss planar, cylindrical and conic projections as well as normal, oblique and transverse variants. And in the process, you'll build an imaginary device to project the earth onto flat surfaces. We'll cover the types of distortions and projections and the mechanics of translating a sphere into a flat surface. In this lecture we'll dive into the details of how projections work to give you an understanding of how projections preserve properties of maps and a way to conceptualize and visualize their construction. By completing this third class in the Specialization you will gain the skills needed to succeed in the full program. 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. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. Learn how to visually display your data by classifying it in logical groupings and then symbolizing it on your map. Week 4: Expand your knowledge of symbology. Learn how to use environment variables to constrain your analyses and get better quality data products. Week 3: Go in-depth on projections and coordinate systems, which are foundational to all GIS. Take a detour into 3D data models, and interpolation of observations into 3D surfaces and rasters Week 2: Gain a working understanding of raster data models: symbolize, reproject, overlay, and assess rasters. Week 1: Tour ArcToolbox and learn how to use common geospatial analysis tools built into ArcGIS In this class you will learn the fundamentals of geospatial and environmental analysis during four week-long modules: 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. Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables.
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