University of California, Davis - Geospatial and Environmental Analysis
- Offered byCoursera
Geospatial and Environmental Analysis at Coursera Overview
Duration | 14 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Geospatial and Environmental Analysis at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 5 in the Geographic Information Systems (GIS) Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level At least 2 years experience, comfortable doing data analysis, and fundamental grasp of GIS concepts.
- Approx. 14 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Geospatial and Environmental Analysis at Coursera Course details
- 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.
- WHAT YOU WILL LEARN
Geospatial and Environmental Analysis at Coursera Curriculum
Course Overview & Geospatial Analysis
Course Overview
Course Mechanics
Module 1 Overview
Clip Tool
Erase and Identity Tools
Buffers and Multiple Ring Buffer
Near and Generate Near Table Tools
Merge Tool
Dissolve Tool
Behind the Scenes: Preparing the Dissolve Tool Lecture Data
Tabulate Area
Conversion Tools
Making Charts and Graphs in ArcMap
Geospatial Analysis Assignment Intro
Data Acquisition for Our Project
Getting the Crop Data
Module 1 Summary
Getting Started in this Course
Tutorial Assignment 1: Generating Streamlines from Elevation Models
Extra Practice: Use Geoprocessing Tools on New Data
Lesson 1: Geospatial Analysis
Rasters and Surfaces
Module 2 Overview
Raster Data Formats
Raster Display Options
Comparison/Swipe Tools
Resampling and Cell Assignment
Reprojecting Rasters
Clipping Rasters and Extract by Mask
Raster Mosaics
Surfaces and Interpolation
Rasters as 3D Data
Thiessen Polygons and Fishnets
TINs
TINs in Action
Z Values and 3D Data
3D Scenes
Setting Up the Data, Part 1
Setting Up the Data, Part 2
Module 2 Summary
Tutorial Assignment 2: Creating and Assessing DEMs from Points and Raster Data
Extra Practice 2: Working with New Tools
Lesson 3: Working with Rasters
Lesson 4: Surfaces and the Third Dimension
Classifying and Viewing Data
Module 3 Overview
Overview of Projections and Coordinate Systems
Datums
Geographic Coordinate Systems
Preserving Properties of Data with Projections
Common Projected Coordinate Systems
Projections in Action
What are Environment Variables?
Output Coordinate System Environment Variable
Extent Environment Variable
Cell Size, Mask, and Snap Raster Environment Settings
Project Data Analysis
Module 3 Summary
Tutorial Assignment 3: Spawning Redds and Timber Harvests - A Watershed-based Analysis
Lesson 6: Projections and Coordinate Systems
Lesson 7: Environment Variables
Working Through a Project
Module 4 Overview
Color Ramps
Binning/Classifying Data
Stretching Rasters
Copying Symbology
Project Data Analysis and Wrapup
Module 4 Summary
Course Summary
Extra Practice: Maplex Labeling
Lesson 9: Symbology
Geospatial and Environmental Analysis at Coursera Faculty details
Geospatial and Environmental Analysis at Coursera Admission Process
Important Dates
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