Об этом курсе: 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.
Для кого этот курс: This course is targeted at those who have taken the first two courses in the GIS specialization, or who have equivalent foundational GIS experience. We encourage you to audit or enroll in those courses before taking this course.
Автор: University of California, Davis
Преподаватели: Nick Santos, Geospatial Applications Researcher
Center for Watershed Sciences
| Основные сведения | Курс 3 из 5 — Geographic Information Systems (GIS) Specialization |
| Выполнение | 4 weeks of study, 3-4 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Course Overview & Geospatial Analysis
In the first module of Geospatial and Environmental Analysis, we will be learning about a plethora of common tools used with vector data in ArcGIS for geospatial analysis projects. By the end of the module, you will be able to use: the clip tool, erase tool, identity tool, near tool, point distance tool, merge tool, dissolve tool, tabulate area tool, buffers, and conversion tools. In addition, you will also begin work on a geospatial analysis project that we will be using throughout this course.
17 видео, 3 материала для самостоятельного изучения
- Reading: Getting Started in this Course
- Видео: Course Mechanics
- Видео: Module 1 Overview
- Видео: Clip Tool
- Видео: Erase and Identity Tools
- Видео: Buffers and Multiple Ring Buffer
- Видео: Near and Generate Near Table Tools
- Видео: Merge Tool
- Видео: Dissolve Tool
- Видео: Behind the Scenes: Preparing the Dissolve Tool Lecture Data
- Видео: Tabulate Area
- Видео: Conversion Tools
- Видео: Making Charts and Graphs in ArcMap
- Видео: Geospatial Analysis Assignment Intro
- Discussion Prompt: Discussion - Obtaining the Data
- Видео: Data Acquisition for Our Project
- Видео: Getting the Crop Data
- Discussion Prompt: Discussion - Data Organization
- Видео: Module 1 Summary
- Reading: Tutorial Assignment 1: Generating Streamlines from Elevation Models
- Reading: Extra Practice: Use Geoprocessing Tools on New Data
- Discussion Prompt: What did you do in your extra practice?
Оцениваемый: Lesson 1: Geospatial Analysis
НЕДЕЛЯ 2
Rasters and Surfaces
In this second module, we're going to cover raster data in depth and how to create 3-dimensional surfaces from our rasters. After completing this module you should be able to: describe different raster data formats and how they're used, use comparison and swipe tools, resample and retroject rasters, describe how fishnets and Thiessen polygons are used, create TINs, and convert your rasters to 3D data using ArcScene. In addition, you will continue your geospatial analysis project as you begin to plan your approach.
18 видео, 2 материала для самостоятельного изучения
- Видео: Raster Data Formats
- Видео: Raster Display Options
- Видео: Comparison/Swipe Tools
- Видео: Resampling and Cell Assignment
- Видео: Reprojecting Rasters
- Видео: Clipping Rasters and Extract by Mask
- Видео: Raster Mosaics
- Видео: Surfaces and Interpolation
- Видео: Rasters as 3D Data
- Видео: Thiessen Polygons and Fishnets
- Видео: TINs
- Видео: TINs in Action
- Видео: Z Values and 3D Data
- Видео: 3D Scenes
- Видео: Setting Up the Data, Part 1
- Видео: Setting Up the Data, Part 2
- Discussion Prompt: Discussion - Analyzing Data
- Видео: Module 2 Summary
- Reading: Tutorial Assignment 2: Creating and Assessing DEMs from Points and Raster Data
- Reading: Extra Practice 2: Working with New Tools
- Discussion Prompt: What data did you find?
Оцениваемый: Lesson 3: Working with Rasters
Оцениваемый: Lesson 4: Surfaces and the Third Dimension
НЕДЕЛЯ 3
Classifying and Viewing Data
In this third module, we're going to start off with talking all about projections. If you've taking the specialization with us, you may recall that we discussed this in the first course, but this will be an in-depth, more technical overview of projections and coordinate systems. In the second half of the module we'll learn about environment variables. By the end of this module, you will be able to describe coordinate systems, projected coordinate systems, compare the pros and cons of different projections, and define what environment variables are and what they are used for. You will also have the opportunity to actually begin to analyze your data in the course project.
13 видео, 1 материал для самостоятельного изучения
- Видео: Overview of Projections and Coordinate Systems
- Видео: Datums
- Видео: Geographic Coordinate Systems
- Видео: Preserving Properties of Data with Projections
- Видео: Common Projected Coordinate Systems
- Видео: Projections in Action
- Discussion Prompt: Discussion - Projections
- Видео: What are Environment Variables?
- Видео: Output Coordinate System Environment Variable
- Видео: Extent Environment Variable
- Видео: Cell Size, Mask, and Snap Raster Environment Settings
- Видео: Project Data Analysis
- Discussion Prompt: Discussion - Analysis
- Видео: Module 3 Summary
- Reading: Tutorial Assignment 3: Spawning Redds and Timber Harvests - A Watershed-based Analysis
Оцениваемый: Lesson 6: Projections and Coordinate Systems
Оцениваемый: Lesson 7: Environment Variables
НЕДЕЛЯ 4
Working Through a Project
In the final module of this course, we're going to devote some time to discussing symbology. We've talked about symbology use a little bit in some of the other courses of the specialization, but this module provides a much more in-depth look at symbology use in ArcGIS. After viewing the videos in this module, you'll be able to design color ramps for your data, bin or classify your data appropriately, stretch raster boundaries, and copy and reuse symbology on multiple layers. Finally, we'll wrap up the geospatial analysis project before you begin work on the final (peer-reviewed) assignment for this course.
8 видео, 1 материал для самостоятельного изучения
- Видео: Color Ramps
- Видео: Binning/Classifying Data
- Видео: Stretching Rasters
- Видео: Copying Symbology
- Видео: Project Data Analysis and Wrapup
- Видео: Module 4 Summary
- Reading: Extra Practice: Maplex Labeling
- Видео: Course Summary
Оцениваемый: Lesson 9: Symbology
Оцениваемый: Final Assignment: Geospatial and Environmental Analysis
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Авторы
University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
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Рейтинги и отзывы
I have learned GIS from many platform and all of them were based on vector analysis. This particular course was based on raster analysis which takes you altogether to a new dimension of GIS. Overall, I am more than satisfied with this course
Hard work, but I learned a lot. Thanks!
This was overall an amazing course. It was a bit different from other course especially the final assignment which lay more stress on raster analysis than vector analysis. Overall, I am personally more than satisfied with this course.
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