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所在平台: Udemy |
课程主页: https://www.udemy.com/course/geospatial-datascience-r/
课程评论：没有评论
课程名称：使用R进行地理空间数据科学 课程概述：本课程将带您踏入地理空间数据科学的精彩世界，为您的研究、商业和项目开辟新的可能性。您将掌握分析、处理和可视化空间数据所需的技能，使用强大的开源R地理空间生态系统中的工具和软件库。 学习目标：在整个课程中，我将逐步指导您实现以下学习目标： 1. **设置R环境**：按照最佳实践设置您的计算环境，使用RStudio、R项目和R Markdown笔记本。 2. **R基础**：利用适当的语法、数据结构、函数以及软件包进行分析。 3. **理解空间数据**：识别矢量和栅格格式之间的差异，以及如何表现和分析各种类型的空间数据。 4. **处理空间数据集**：学习加载、处理和导出空间数据集的技术，处理超出可用内存的大文件。 5. **坐标参考系统**：了解坐标参考系统的重要性，并能够选择和应用适当的CRS进行分析。 6. **矢量数据**：应用几何和空间操作来处理矢量数据。 7. **栅格数据**：处理和总结栅格数据，从卫星图像和其他来源提取信息。 8. **数据处理工作流**：开发脚本以自动处理和可视化地理空间数据。 9. **创建引人入胜的可视化**：开发可用于出版的地图和可视化，以有效传达您的研究成果。 10. **实际应用**：运用新获得的技能进行环境监测和人口统计分析。 课程特点： - 详尽的幻灯片：访问所有包含示例代码和资源链接的幻灯片。 - 动手学习：每节课后都有步骤代码演示。 - 代码笔记本：包含脚本、数据处理工作流及相关解释。 - 测验和练习：巩固并测试您对概念的理解。 - 终身访问：享受对未来所有更新的无限访问权限。 - 完成证书：课程完成后可获得Udemy证书。 - 无风险学习：提供30天“无条件”退款保证。 关于讲师：你好，我是小平（XP）。在我的职业生涯中，我深度参与城市规划和可持续报告的指标和预测软件开发。我的研究和教学重点是应用机器学习和地理空间技术。我已经教授本科和硕士课程、编码研讨会和音乐课程，并获得多项教学奖项。我相信学生在理解基础概念并受到启发时会更有动力。因此，在我们的课堂上，我们将深入探讨有趣和实际的例子，通过逐步的方法将知识应用于真实世界的场景。 课程能够让您获得实践技能，适合初学者和专业人士。期待与您一同学习！
Embark on an exciting journey into the world of geospatial data science, and open up new possibilities for your research, business and projects. This course will equip you with the necessary skills to analyze, manipulate, and visualize spatial data using powerful tools and software libraries within the open-source R geospatial ecosystem.What you'll learn:Throughout the course, I will guide you step-by-step to achieve the following learning objectives:Set up R Environment: Follow best practices in setting up your computing environment using RStudio, R Projects and R Markdown NotebooksR Fundamentals: Utilize appropriate syntax, data structures, functions and software packages for the given analysisUnderstand Spatial Data: Recognise the differences between vector and raster formats, and how various types of spatial data can be represented and analyzedHandle Spatial Datasets: Learn the techniques to load, process, and export spatial datasets, even when dealing with large files that exceed available memory (RAM)Coordinate Reference Systems: Learn the importance of coordinate reference systems (CRS) and be able to select and apply the appropriate CRS for your analysesVector Data: Apply geometry and spatial operations to manipulate vector dataRaster Data: Manipulate and summarize raster data to extract information from satellite imagery and other sourcesData Processing Workflows: Develop scripts to automatically process and visualize geospatial dataCreate Engaging Visualizations: Develop publication-ready maps and visualizations to effectively communicate your findings to a broader audiencePractical Applications: Apply your newfound skills to perform environmental monitoring and analyze population demographyThis course comes with:Comprehensive slides: Access all slides, which include example code and links to resourcesHands-on Learning: Step-by-step code walkthroughs after each lectureCode Notebooks: Complete with scripts, data processing workflows, and accompanying explanationsQuizzes and Exercises: Strengthen and test your understanding of concepts that you've learntLifetime Access: Enjoy unlimited access to all future updatesUdemy Certificate of CompletionRisk-free Learning: A 30 Day "No Questions Asked" Money Back Guarantee!About your instructor:Hello, I'm Xiao Ping (XP). In my professional journey, I have been deeply involved in developing metrics and predictive software for city planning and sustainability reporting. My research and teaching focus on applied machine learning and geospatial techniques. Throughout my career, I have taught bachelor- and master-level courses, coding workshops and music classes, and have had the privilege of receiving multiple teaching awards. As an educator, I find that students are best motivated when they grasp underlying concepts and are inspired by what they see. That's why, in our class, we will dive right into interesting and practical examples. We will take a hands-on approach, by actively applying our knowledge to real-world scenarios through a step-by-step process.Are you ready?What sets this course apart from typical data science offerings is our unique focus on spatial problems. Spatial problems offer a visually rich landscape for exploration and analysis, and in this course, we'll immerse ourselves in engaging, hands-on examples. Whether you're an absolute beginner or a seasoned professional, this course is designed for you to ground your understanding and gain practical skills that can be put into action immediately. Join me as we embark on this new journey of learning-I look forward to seeing you in class!Sincerely,Xiao Ping (XP)
