By completing this third class in the Specialization you will gain the skills needed to succeed in the full program. ArcGIS Spatial Analyst, an ArcGIS extension, provides advanced GIS spatial analysis & modeling tools for modeling terrains, finding suitable locations and routes, discovering spatial patterns & more. 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. ArcGIS Pro for Spatial Analysis By the end of this training, participants will be able to: Understanding GIS concepts and spatial data types using the latest version 2.3 Investigate th. 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 The capabilities of Spatial Analyst are broken down into categories or groups of related functionality. Week 2: Gain a working understanding of raster data models: symbolize, reproject, overlay, and assess rasters. The ArcGIS Spatial Analyst extension provides a rich set of spatial analysis and modeling tools for both raster (cell-based) and feature (vector) data.
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.