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.
Этот курс входит в специализацию ''Специализация Геоинформационные системы (ГИС)'
Geospatial and Environmental Analysis
4.8
(оценок: 644)
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Об этом курсе
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26,704Чему вы научитесь
Create 3-dimensional surfaces
Create triangulated irregular networks (TIN) and modify rasters to 3D data
Develop and analyze data for the geospatial analysis project
Design color ramps for your data
Программа курса: что вы изучите
Неделя
13 ч. на завершение
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 ((всего 105 мин.)), 3 материалов для самостоятельного изучения, 1 тест
17 видео
Course Overview3мин
Course Mechanics4мин
Module 1 Overview1мин
Clip Tool5мин
Erase and Identity Tools9мин
Buffers and Multiple Ring Buffer9мин
Near and Generate Near Table Tools8мин
Merge Tool4мин
Dissolve Tool6мин
Behind the Scenes: Preparing the Dissolve Tool Lecture Data4мин
Tabulate Area7мин
Conversion Tools7мин
Making Charts and Graphs in ArcMap10мин
Geospatial Analysis Assignment Intro4мин
Data Acquisition for Our Project10мин
Getting the Crop Data5мин
Module 1 Summary1мин
3 материала для самостоятельного изучения
Getting Started in this Course10мин
Tutorial Assignment 1: Generating Streamlines from Elevation Models10мин
Extra Practice: Use Geoprocessing Tools on New Data10мин
1 практическое упражнение
Lesson 1: Geospatial Analysis14мин
Неделя
24 ч. на завершение
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 ((всего 164 мин.)), 2 материалов для самостоятельного изучения, 2 тестов
18 видео
Raster Data Formats13мин
Raster Display Options10мин
Comparison/Swipe Tools7мин
Resampling and Cell Assignment10мин
Reprojecting Rasters10мин
Clipping Rasters and Extract by Mask9мин
Raster Mosaics12мин
Surfaces and Interpolation5мин
Rasters as 3D Data6мин
Thiessen Polygons and Fishnets5мин
TINs4мин
TINs in Action12мин
Z Values and 3D Data10мин
3D Scenes9мин
Setting Up the Data, Part 112мин
Setting Up the Data, Part 218мин
Module 2 Summary2мин
2 материала для самостоятельного изучения
Tutorial Assignment 2: Creating and Assessing DEMs from Points and Raster Data10мин
Extra Practice 2: Working with New Tools10мин
2 практического упражнения
Lesson 3: Working with Rasters14мин
Lesson 4: Surfaces and the Third Dimension12мин
Неделя
32 ч. на завершение
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 ((всего 107 мин.)), 1 материал для самостоятельного изучения, 2 тестов
13 видео
Overview of Projections and Coordinate Systems4мин
Datums7мин
Geographic Coordinate Systems3мин
Preserving Properties of Data with Projections12мин
Common Projected Coordinate Systems6мин
Projections in Action10мин
What are Environment Variables?8мин
Output Coordinate System Environment Variable9мин
Extent Environment Variable10мин
Cell Size, Mask, and Snap Raster Environment Settings12мин
Project Data Analysis18мин
Module 3 Summary1мин
1 материал для самостоятельного изучения
Tutorial Assignment 3: Spawning Redds and Timber Harvests - A Watershed-based Analysis10мин
2 практического упражнения
Lesson 6: Projections and Coordinate Systems12мин
Lesson 7: Environment Variables8мин
Неделя
43 ч. на завершение
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 ((всего 67 мин.)), 1 материал для самостоятельного изучения, 2 тестов
8 видео
Color Ramps11мин
Binning/Classifying Data11мин
Stretching Rasters9мин
Copying Symbology11мин
Project Data Analysis and Wrapup18мин
Module 4 Summary38
Course Summary2мин
1 материал для самостоятельного изучения
Extra Practice: Maplex Labeling10мин
1 практическое упражнение
Lesson 9: Symbology8мин
54%
начал новую карьеру, пройдя эти курсы
45%
получил значимые преимущества в карьере благодаря этому курсу
Лучшие рецензии
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.
I enjoyed this part most of the three courses in the GIS specialization that I have earned certificates. Thanks to Dr. Nick Santos for his interactive teaching, assignments and projects.
Преподаватели
Nick Santos
Geospatial Applications ResearcherCenter for Watershed Sciences
О Калифорнийский университет в Девисе
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.
О специализации ''Геоинформационные системы (ГИС)'
Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.
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What prior experience do I need to take this course?
You should have some experience in GIS before taking this course - it's not for absolute beginners. This is the third course in the Geographic Information Systems specialization, and you should have taken the first two courses in the specialization, "Fundamentals of GIS" and "GIS Data Formats, Design, and Quality", here on Coursera before enrolling in this course, or have equivalent experience. If you're not sure if you have equivalent experience, you can audit those courses for free to look through the materials and fill in any gaps. Search for them by name on the site to find them.
Since all of the courses in the specialization run monthly, you won't miss out on this course by enrolling in those courses first. This course will have a new session once you have the skills needed to take it.
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