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.
Ce cours fait partie de la Spécialisation Geographic Information Systems (GIS)
Geospatial and Environmental Analysis
proposé par
À propos de ce cours
4.8
583 notes
Ce que vous allez apprendre
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
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
13 heures pour terminer
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 vidéos (Total 105 min), 3 lectures, 1 quiz
17 vidéos
Course Overview3 min
Course Mechanics4 min
Module 1 Overview1 min
Clip Tool5 min
Erase and Identity Tools9 min
Buffers and Multiple Ring Buffer9 min
Near and Generate Near Table Tools8 min
Merge Tool4 min
Dissolve Tool6 min
Behind the Scenes: Preparing the Dissolve Tool Lecture Data4 min
Tabulate Area7 min
Conversion Tools7 min
Making Charts and Graphs in ArcMap10 min
Geospatial Analysis Assignment Intro4 min
Data Acquisition for Our Project10 min
Getting the Crop Data5 min
Module 1 Summary1 min
3 lectures
Getting Started in this Course10 min
Tutorial Assignment 1: Generating Streamlines from Elevation Models10 min
Extra Practice: Use Geoprocessing Tools on New Data10 min
1 exercice pour s'entraîner
Lesson 1: Geospatial Analysis14 min
Semaine
24 heures pour terminer
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 vidéos (Total 164 min), 2 lectures, 2 quiz
18 vidéos
Module 2 Overview2 min
Raster Data Formats13 min
Raster Display Options10 min
Comparison/Swipe Tools7 min
Resampling and Cell Assignment10 min
Reprojecting Rasters10 min
Clipping Rasters and Extract by Mask9 min
Raster Mosaics12 min
Surfaces and Interpolation5 min
Rasters as 3D Data6 min
Thiessen Polygons and Fishnets5 min
TINs4 min
TINs in Action12 min
Z Values and 3D Data10 min
3D Scenes9 min
Setting Up the Data, Part 112 min
Setting Up the Data, Part 218 min
Module 2 Summary2 min
2 lectures
Tutorial Assignment 2: Creating and Assessing DEMs from Points and Raster Data10 min
Extra Practice 2: Working with New Tools10 min
2 exercices pour s'entraîner
Lesson 3: Working with Rasters14 min
Lesson 4: Surfaces and the Third Dimension12 min
Semaine
32 heures pour terminer
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 vidéos (Total 107 min), 1 lecture, 2 quiz
13 vidéos
Module 3 Overview1 min
Overview of Projections and Coordinate Systems4 min
Datums7 min
Geographic Coordinate Systems3 min
Preserving Properties of Data with Projections12 min
Common Projected Coordinate Systems6 min
Projections in Action10 min
What are Environment Variables?8 min
Output Coordinate System Environment Variable9 min
Extent Environment Variable10 min
Cell Size, Mask, and Snap Raster Environment Settings12 min
Project Data Analysis18 min
Module 3 Summary1 min
1 lecture
Tutorial Assignment 3: Spawning Redds and Timber Harvests - A Watershed-based Analysis10 min
2 exercices pour s'entraîner
Lesson 6: Projections and Coordinate Systems12 min
Lesson 7: Environment Variables8 min
Semaine
43 heures pour terminer
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 vidéos (Total 67 min), 1 lecture, 2 quiz
8 vidéos
Module 4 Overview1 min
Color Ramps11 min
Binning/Classifying Data11 min
Stretching Rasters9 min
Copying Symbology11 min
Project Data Analysis and Wrapup18 min
Module 4 Summary38s
Course Summary2 min
1 lecture
Extra Practice: Maplex Labeling10 min
1 exercice pour s'entraîner
Lesson 9: Symbology8 min
4.8
118 avis54%
a commencé une nouvelle carrière après avoir terminé ces cours
45%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Meilleurs avis
par OA•Oct 18th 2017
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.
par ER•Aug 14th 2017
What I liked most about the course is the gradual progression is so great! Great deal of efforts invested for making this course so awesome. I had a great time leaning.
Enseignant
Nick Santos
Geospatial Applications ResearcherCenter for Watershed Sciences
À propos de Université de Californie à 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.
À propos de la Spécialisation Geographic Information Systems (GIS)
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.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
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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