In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Your completed project will demonstrate your mastery of the content in the GIS Specialization and is broken up into four phases:
Offert par
Spécialisation Systèmes d'informations géographiques (SIG)Université de Californie à DavisÀ propos de ce cours
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Résultats de carrière des étudiants
46%
ont commencé une nouvelle carrière après avoir terminé ce cours
50%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
25%
a obtenu une augmentation de salaire ou une promotion
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 5 sur 5 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Approx. 62 heures pour terminer
Anglais
Sous-titres : Anglais
Ce que vous allez apprendre
Create a GIS project proposal
Develop a hypothesis for a GIS-based question
Complete a data analysis in line with your project objectives
Interpret and explain the results you obtained in comparison to your original GIS question and/or hypothesis
Compétences que vous acquerrez
Geographic Information System (GIS)Data AnalysisProjectMap AnalysisProject Management
Résultats de carrière des étudiants
46%
ont commencé une nouvelle carrière après avoir terminé ce cours
50%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
25%
a obtenu une augmentation de salaire ou une promotion
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 5 sur 5 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Approx. 62 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
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.
Programme du cours : ce que vous apprendrez dans ce cours
3 heures pour terminer
Course Overview and Milestone 1: Project Proposal
In this milestone, you will have weeks 1 and 2 to build a project proposal that contains your research question or hypothesis, background information, potential data sources and methods, and your expected results. This proposal will lead you into future milestones by providing a guide to help keep your analysis on track. You will start by getting an overview of the entire project and the assignment for this first milestone. From there, you will learn about some sources for project ideas and data sources and look at an example project proposal.
3 heures pour terminer
4 vidéos (Total 56 min), 7 lectures
4 vidéos
Course Overview5 min
Project Proposal Overview10 min
Vector-Based Suitability Analysis (Review from Imagery, Automation, and Applications)15 min
Classifying Imagery and Derived Products (Review from Imagery, Automation, and Applications)25 min
7 lectures
Course Project Overview15 min
Getting Help in this Course5 min
Milestone 1 Assignment Preview10 min
Finding Project Ideas10 min
Data Sources For Your Project10 min
Example Project Proposal10 min
Extra Practice: Make Your Project a Website10 min
12 heures pour terminer
Milestone 1: Project Proposal Submission
In this module, you will continue to work through Milestone 1, your project proposal as outlined in the first week. You will then submit your proposal for peer review.
12 heures pour terminer
14 heures pour terminer
Milestone 2: Planning Your Workflow
In this milestone, you will have week 3 to practice your algorithmic development. In the previous milestone, you posed a question you want to answer - now you'll develop a plan, your algorithm, for how to answer that question with GIS. In practice, this means you'll develop a ModelBuilder model that shows your planned analysis workflow, or some part of it. For those of you who are conducting an analysis that's not conducive to making a model, you can write out your series of steps instead. Regardless, by the end of this module, you'll have a plan for how to produce your results.
14 heures pour terminer
9 vidéos (Total 95 min), 2 lectures, 1 quiz
9 vidéos
What is ModelBuilder? (Review from Imagery, Automation, and Applications)12 min
Creating Toolboxes and Tools with ModelBuilder (Review from Imagery, Automation, and Applications)12 min
Setting Up a Larger Model (Review from Imagery, Automation, and Applications)12 min
Using Interface Tools as Geoprocessing Tools in ModelBuilder (Review from Imagery, Automation, and Applications)8 min
Feature Layers and Selections in Models (Review from Imagery, Automation, and Applications)10 min
Branching, Preconditions, and Viewing Progress Interactively (Review from Imagery, Automation, and Applications)14 min
Polishing Models for Reuse (Review from Imagery, Automation, and Applications)13 min
Advanced Models and Exporting Models to Python (Review from Imagery, Automation, and Applications)6 min
2 lectures
Milestone 2 Assignment Preview10 min
Extra Practice: Data Analysis10 min
26 minutes pour terminer
Milestone 3: Data Analysis
For this milestone, you will have weeks 4, 5, and 6 to process your data according to the model you created in the previous milestone, reinforcing your data analysis concepts and practice. When you complete your analysis, you will add metadata to any resulting layers, and you will also write an assessment of what the results mean and how they answer your research question.
26 minutes pour terminer
1 vidéo (Total 6 min), 2 lectures
1 vidéo
2 lectures
Milestone 3 Assignment Preview10 min
Example Methods and Results Document10 min
Avis
Meilleurs avis pour GEOSPATIAL ANALYSIS PROJECT
par MD5 juin 2017
This is an integrated project to go through the knowledge aquired during the entire specialization. I partaked in many MOOCs but this one in GIS has been one of the best I had never taken.
par AM21 nov. 2016
Great class, helpful professor and admin! Definitely scratched the core of arcGIS, and will be doing more analysis in the future!
par DC4 nov. 2019
Excellent conclusion to the program. This course provided a great opportunity to apply skills learned throughout the program.
par AN28 avr. 2020
In this course, you design your own project and apply different tools and processes you learned in the previous courses.
À propos du Spécialisation Systèmes d'informations géographiques (SIG)
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.
Interested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.
Foire Aux Questions
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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