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:
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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來自GEOSPATIAL ANALYSIS PROJECT的熱門評論
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.
Excellent course and excellent specialization! I got new knowledge and great pleasure from studying! Many thanks to Coursera, UC Davis and personally to Nick Santos!
Excellent course, I really liked pursuing the project of my choice and facing and demolishing all the challenges I faced on my way to the completion of the project.
This course is good not only for beginners but also for intermediate learners. Course 4 is the best for me. Please be aware of who make plagiarisms in Course 5.
關於 地理信息系统 (GIS) 專項課程
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.